{ From user vkoe, Model Claih at 11-helmi-2011 1:07:27 PM }
Softwareversion 4.2.3


{ System Variables with non-default values: }
Time := Sequence( -1, 110, 1 )
Description Time: Dynamic simulation periods are specified in Time's definition. This is usually a list of numbers or labels, typically in some unit of time (days, weeks, months, etc.).  Use the ÒDynamic()Ó function in your variables to perform dynamic simulation.
Samplesize := 1
Usetable := 0
{!40000|Att_previndexvalue Run: [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000]}
Typechecking := 1
Checking := 1
Graphwindows := 10
Showhier := 1
Saveoptions := 2
Savevalues := 0
Probindex := [0.025,0.05,0.25,0.5,0.75,0.95,0.975]
Diststeps := 1
Naming := 0
Allwarnings := 0
Displayoutputs Null: ,
{!40000|Att_contlinestyle Graph_primary_valdim: 1}
{!40000|Att_catlinestyle Graph_primary_valdim: 9}
{!40000|Att_catlinestyle Graph_stats_valdim: 9}
{!40000|Att_graphvaluerange Graph_pdf_valdim: 1,0,0,1,,,,0,1}
{!40000|Att_contlinestyle Graph_pdf_valdim: 6}
{!40000|Att_contlinestyle Graph_cdf_valdim: 1}

Attribute Reference
Attribute Log

Askattribute Recursive,Function,Yes
Askattribute Reference,Function,Yes
Askattribute Log,Function,Yes
Askattribute Reference,Module,Yes
Askattribute Log,Module,Yes
Askattribute Value,Variable,Yes
Askattribute Reference,Variable,Yes
Askattribute Log,Variable,Yes

Model Claih
Author: vkoe
Date: 28. Novta 2008 10:15
Saveauthor: vkoe
Savedate: 11. Febta 2011 13:07
Defaultsize: 48,24
Diagstate: 2,33,16,954,779,17
Fontstyle: Arial, 13
Fileinfo: 0,Model Claih,2,2,0,0,C:\Documents and Settings\vkoe\Desktop\Claih_model.ANA

Module Building_stock
Title: Building stock
Author: vkoe
Date: 15. Janta 2009 6:55
Defaultsize: 48,24
Nodelocation: 200,136,1
Nodesize: 48,24
Diagstate: 2,83,110,796,571,17
Nodecolor: 52427,63897,65535

Index Building_type
Title: Building type
Definition: ['Detached house','Row house','Apartment building']
Nodelocation: 320,216,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Detached house','Row house','Apartment building']}

Variable Bs_current
Title: Current building stock
Description: ~
~
Cbs_heat_sys*House_energy_efficie
Definition: var a:=Cbs_age*Heat_system_by_year;~
a:=a/sum(a,const_year);~
a:=a*Cbs_heat_sys;~
a/sum(a,const_year);~
a*Bs_energy_effic_cur
Nodelocation: 320,152,1
Nodesize: 48,28
Windstate: 2,147,104,590,431
Valuestate: 2,933,541,643,292,0,MIDM
Reformval: [Const_year,Heat_system]
Att__totalsindex: Index Building_type, Index Energy_class, Index Heat_system, Index Const_year
{!40000|Att_resultslicestate: [Energy_class,1,Building_type,1,Heat_system,2,Const_year,6]}

Variable Cbs_heat_sys
Title: Current heat systems
Units: m2
Description: Current building stock by heating type, floor area
Definition: Table(Building_type,Heat_system)(~
9.75642M,37.696145M,29.872312M,67.265322M,3.603349M,2.730025M,~
15.113361M,7.525292M,200.314K,9.247771M,47.74K,146.664K,~
77.47528M,9.553845M,347.294K,1.318741M,19.602K,549.336K~
)
Nodelocation: 200,96,1
Nodesize: 48,24
Windstate: 2,916,530,476,224
Defnstate: 2,468,482,692,303,0,MIDM
Valuestate: 2,629,205,719,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Building_type,Heat_system]
Reformval: [Heat_system,Building_type]
Att__totalsindex: Index Building_type, Index Heat_system
{!40000|Att_resultslicestate: [Building_type,2,Heat_system,1]}
{!40000|Att_editslicestate: [Heat_system,4,Area1,1,Building_type,1]}

Index Energy_class
Title: Energy class
Definition: ['Traditional','Current standard','Low-energy','Passive house']
Nodelocation: 320,88,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Traditional','Current standard','Low-energy','Passive house']}

Index Heat_system
Title: Heat system
Definition: ['District','Light oil','Wood','Electricity','Geothermal','Other']
Nodelocation: 320,192,1
Nodesize: 48,12
Windstate: 2,98,90,476,224
{!40000|Att_previndexvalue: ['District','Light oil','Wood','Electricity','Geothermal','Other']}

Variable Bs_energy_effic_cur
Title: Current building stock energy efficiency
Description: Fraction of current building stock in different energy efficiency classes by building heating type
Definition: Table(Building_type,Energy_class,Const_year)(~
1,1,1,1,1,1,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0,~
1,1,1,1,1,1,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0,~
1,1,1,1,1,1,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0~
)
Nodelocation: 320,48,1
Nodesize: 48,32
Defnstate: 2,372,116,661,303,0,MIDM
Valuestate: 2,328,338,702,260,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Energy_class,Const_year]
Reformval: [Heat_system,Energy_class]
{!40000|Att_resultslicestate: [Building_type,1,Heating_system,2,Energy_class,1,Subsidies_for_energy,1]}
{!40000|Att_editslicestate: [Building_type,1,Const_year,1,Energy_class,1]}

Index Const_year
Title: Const year
Description: Construction year of a building
Definition: ['<1960','1960','1970','1980','1990','2000','2010','2020','2030']
Nodelocation: 200,184,1
Nodesize: 48,12
Windstate: 2,101,85,476,224
{!40000|Att_previndexvalue: ['<1960','1960','1970','1980','1990','2000','2010','2020','2030']}

Variable Cbs_age
Title: Current building stock age
Units: m2
Description: Current building stock by age, floor area
Definition: Table(Building_type,Const_year)(~
40.802288M,14.074485M,21.999879M,29.136341M,18.950781M,21.619076M,0,0,0,~
971.421K,1.911846M,7.63526M,11.476249M,5.729734M,4.282367M,0,0,0,~
16.235186M,15.83794M,23.525259M,12.025787M,10.825779M,9.934372M,0,0,0~
)
Nodelocation: 200,152,1
Nodesize: 48,24
Defnstate: 2,340,354,787,302,0,MIDM
Valuestate: 2,900,302,787,324,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Const_year,Building_type]
Reformval: [Const_year,Building_type]
Att__totalsindex: Index Building_type, Index Const_year

Variable Heat_system_by_year
Title: Heat system by year
Units: -
Description: Fraction of heat systems in new detached houses constructed in different decades (heat system selected when constructed)~
~
Ei kovin hyvä lähestymistapa sellaisenaan, koska yliarvioi öljylämmityksen osuutta ja aliarvioi erityisesti puulämmityksen osuutta (ei huomioi siirtymistä öljylämmityksestä muihin vaihtoehtoihin, aliarvioi puulämmityksen osuutta vanhassa rakennuskannassa (?)).
Definition: Table(Building_type,Heat_system,Const_year)(~
0.04,0.04,0.06,0.08,0.08,0.13,0.16,0.16,0.16,~
0.67,0.67,0.57,0.2,0.15,0.12,0.09,0.09,0.09,~
0.04,0.04,0.14,0.16,0.07000000000000001,0.05,0.05,0.05,0.05,~
0.25,0.25,0.23,0.53,0.66,0.59,0.54,0.54,0.54,~
100u,100u,100u,0.01,0.01,0.09,0.14,0.14,0.14,~
100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0.02,~
0.28,0.31,0.33,0.46,0.5600000000000001,0.59,0.59,0.59,0.59,~
0.6,0.59,0.58,0.16,0.19,0.09,0.09,0.09,0.09,~
0,0,0,0.01,0,0,0,0,0,~
0.13,0.11,0.09,0.37,0.25,0.31,0.31,0.31,0.31,~
100u,100u,100u,100u,100u,0.01,0.01,0.01,0.01,~
100u,100u,100u,100u,100u,100u,100u,100u,100u,~
0.72,0.72,0.72,0.91,0.96,0.98,0.98,0.98,0.98,~
0.28,0.28,0.28,0.06,0.03,0.02,0.02,0.02,0.02,~
1m,1m,1m,1m,1m,1m,1m,1m,1m,~
0,0,0,0.03,0.01,0,0,0,0,~
100u,100u,100u,100u,100u,100u,100u,100u,100u,~
100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0.02~
)
Nodelocation: 200,40,1
Nodesize: 48,24
Windstate: 2,98,90,476,430
Defnstate: 2,656,95,676,268,0,MIDM
Valuestate: 2,473,161,767,263,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Heat_system,Const_year]
Reformval: [Const_year,Heat_system]
Att__totalsindex: Index Heat_system, Index Const_year
{!40000|Att_resultslicestate: [Building_type,1,Heat_system,1,Const_year,1]}
{!40000|Att_editslicestate: [Building_type,2,Const_year,1,Heat_system,1]}

Module Mo2
Author: vkoe
Date: 8. Febta 2011 9:41
Defaultsize: 48,24
Nodelocation: 88,592,1
Nodesize: 48,24
Nodeinfo: 1,0,1,1,1,1,0,,0,
Diagstate: 1,384,175,550,300,17

Index Efficiency_renovatio
{!40000|Att_previndexvalue: ['Traditional','Current standard','Low-energy','Passive house']}
Title: Efficiency renovation
Definition: copyindex(Energy_class)
Nodelocation: 96,88,1
Nodesize: 48,16

Variable Efficiency_renovati1
Title: Efficiency renovations
Description: m2 renovated annually from one energy class to another
Definition: Table(Energy_class,Efficiency_renovatio)(~
0,50,0,0,~
0,0,50,0,~
0,0,0,50,~
0,0,0,0~
)
Nodelocation: 96,48,1
Nodesize: 48,24
Defnstate: 2,344,354,595,319,0,MIDM
Valuestate: 2,594,132,551,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Efficiency_renovatio,Energy_class]
Reformval: [Efficiency_renovatio,Energy_class]
{!40000|Att_resultslicestate: [Subsidies_for_energy,1,Efficiency_renovatio,1,Energy_class,1]}
{!40000|Att_editslicestate: [Subsidies_for_energy,1,Efficiency_renovatio,1,Energy_class,1]}

Variable Energy_fractions_of_
Title: Energy fractions of new buildings
Definition: Table(Building_type,Energy_class,Heat_system)(~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0~
)
Nodelocation: 336,112,1
Nodesize: 48,29
Defnstate: 2,345,404,648,303,0,MIDM
Valuestate: 2,504,514,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Energy_class,Heat_system]
Reformval: [Energy_class,Heat_system]

Variable Future_building_stoc
Title: Future building stock
Definition: var a:= Bs_current;~
var b:= sum(Efficiency_renovati1,Energy_class)[Efficiency_renovatio=Energy_class];~
a:= a +b*a/sum(a,Heat_system);~
b:= sum(Efficiency_renovati1,Efficiency_renovatio);~
a:= a -b*a/sum(a,Heat_system);~
~
b:= sum(Heating_renovations,Heat_system)[Heating_renovation=Heat_system];~
a:= a +b*a/sum(a,Energy_class);~
b:= sum(Heating_renovations,Heating_renovation);~
a:= a -b*a/sum(a,Energy_class);~
~
a +New_buildings*Energy_fractions_of_
Nodelocation: 224,48,1
Nodesize: 48,24
Windstate: 2,117,88,574,521
Valuestate: 2,141,350,758,303,0,MIDM
Reformval: [Heat_system,Energy_class]
Att__totalsindex: Index Energy_class, Index Heat_system
{!40000|Att_resultslicestate: [Building_type,2,Const_year,3,Energy_class,1,Heat_system,1]}

Variable Heating_renovations
Title: Heating renovations
Description: m2 renovated annually from one heating system to another
Definition: Table(Heat_system,Heating_renovation)(~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0~
)
Nodelocation: 96,136,1
Nodesize: 48,24
Defnstate: 2,88,98,646,303,0,MIDM
Valuestate: 2,648,67,505,318,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Heating_renovation,Heat_system]
Reformval: [Heating_renovation,Heat_system]
{!40000|Att_editslicestate: [Decision_on_heat_pro,2,Building_type,1,Heating_renovation,1,Heating_system,1]}

Index Heating_renovation
{!40000|Att_previndexvalue: ['District','Light oil','Wood','Electricity','Geothermal','Other']}
Title: Heating renovation
Definition: Copyindex(Heat_system)
Nodelocation: 96,176,1
Nodesize: 48,16

Variable New_buildings
Title: New buildings
Units: m2
Definition: Table(Building_type,Heat_system)(~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0~
)
Nodelocation: 336,48,1
Nodesize: 48,24
Defnstate: 2,248,258,607,303,0,MIDM
Valuestate: 2,488,498,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Heat_system,Building_type]
Reformval: [Building_type]
{!40000|Att_editslicestate: [Building_type,1,Decision_on_heat_pro,2,Area1,1,Heating_system,1]}

Close Mo2

Objective Bs_devel
Title: Building stock development
Definition: Bs_current-Bs_loss+Bs_new
Nodelocation: 320,288,1
Nodesize: 48,28
Defnstate: 2,716,306,416,303,0,MIDM
Valuestate: 2,912,624,785,303,0,MIDM
Reformval: [Const_year,Heat_system]
Att__totalsindex: Index Building_type, Index Energy_class, Index Heat_system, Index Const_year
{!40000|Att_resultslicestate: [Building_type,0,Energy_class,0,Fu_period,7,Heat_system,1,Const_year,1]}

Variable New_build
Title: Annual new buildings
Units: m2/a
Description: Uudisrakentaminen korvaa poistuman. Lisäksi asumisväljyys kasvaa nykyisestä 39 m2/hlö ollen vuonna 2050 n. 50 m2/hlö. Oletus on, että asumisväljyys kasvaa lineaarisesti, eli n. 0.275 m2/hlö vuosittain. Asukasmäärän muutoksia ei oteta tässä nyt huomioon.~

Definition: Building_stock_loss+sum(Bs_current, const_year, energy_class, heat_system)*0.007
Nodelocation: 552,288,1
Nodesize: 48,24
Windstate: 2,61,86,476,224
Valuestate: 2,413,177,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Building_stock_loss
Title: Annual building stock loss
Units: m2/year
Description: Vuosittainen poistuma on n. 0.3% koko rakennuskannasta vuosien 2010-2019 välillä. Poistuman voidaan olettaa kohdistuvan yli 50 vuotta vanhoihin rakennuksiin.
Definition: sum(Bs_current, const_year, energy_class, heat_system)*0.003
Nodelocation: 88,288,1
Nodesize: 48,24
Windstate: 2,422,466,476,224
Valuestate: 2,247,191,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformval: [Heat_system,Building_type]
Att__totalsindex: Index Building_type

Variable Building_stock_loss1
Title: Building stock loss fraction
Definition: Table(Energy_class,Const_year,Fu_period)(~
0,1,2,2.5,3,3+(1/3),3+(1/3)+(1/4),~
0,0,0,0.5,1,1+(1/3),1+(1/3)+(1/4),~
0,0,0,0,0,(1/3),(1/3)+(1/4),~
0,0,0,0,0,0,1/4,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0~
)
Nodelocation: 88,352,1
Nodesize: 48,24
Defnstate: 2,244,57,648,303,0,MIDM
Valuestate: 2,409,120,732,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Fu_period,Const_year]
Reformval: [Fu_period,Const_year]
Att__totalsindex: Index Const_year
{!40000|Att_editslicestate: [Energy_class,1,Const_year,1,Fu_period,1]}

Variable Bs_loss
Title: Building stock loss
Definition: var a:=Bs_current;~
var b:=sum(a, heat_system);~
b:= if b = 0 then 1 else b;~
b:=a/b;~
~
Building_stock_loss1*b*Building_stock_loss*5
Nodelocation: 200,288,1
Nodesize: 48,24
Valuestate: 2,125,0,589,334,0,MIDM
Reformval: [Heat_system,Const_year]
Att__totalsindex: Index Heat_system, Index Const_year
{!40000|Att_resultslicestate: [Building_type,1,Energy_class,1,Fu_period,6,Const_year,1,Heat_system,1]}

Variable New_building_energy
Title: New building heat fraction
Definition: (Bs_current[Const_year='2000',energy_class='Traditional'])/sum((Bs_current[Const_year='2000',energy_class='Traditional']),heat_system)
Nodelocation: 552,352,1
Nodesize: 48,24
Windstate: 2,305,250,476,224
Defnstate: 2,40,100,1062,303,0,MIDM
Valuestate: 2,88,98,706,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Const_year,Fu_period]
Reformval: [Heat_system,Building_type]
{!40000|Att_editslicestate: [Const_year,7,Building_type,2,Energy_class,1,Heat_system,1]}

Variable New_building_energy_
Title: New building energy fraction
Definition: Table(Energy_class,Const_year)(~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,1,1,1,~
0,0,0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,0,0~
)
Nodelocation: 552,408,1
Nodesize: 48,24
Defnstate: 2,120,130,765,303,0,MIDM
Valuestate: 2,120,130,789,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Energy_class,Const_year]
Reformval: [Energy_class,Const_year]

Variable Bs_new
Title: Building stock new
Definition: New_build*5*New_building_energy*New_building_energy_*Help1
Nodelocation: 440,288,1
Nodesize: 48,24
Valuestate: 2,330,277,809,303,0,MIDM
Reformval: [Const_year,Heat_system]
Att__totalsindex: Index Heat_system
{!40000|Att_resultslicestate: [Building_type,1,Energy_class,2,Fu_period,7,Heat_system,1,Const_year,1]}

Variable Help1
Title: help
Definition: Table(Const_year,Fu_period)(~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,0,0,0,0,0,0,~
0,1,2,2,2,2,2,~
0,0,0,1,2,2,2,~
0,0,0,0,0,1,2~
)
Nodelocation: 656,288,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Defnstate: 2,217,227,692,303,0,MIDM
Reformdef: [Fu_period,Const_year]

Variable Heat_system_renovati
Title: Heat system renovations
Definition: 0
Nodelocation: 320,352,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Energy_efficiency_re
Title: Energy efficiency renovations
Definition: 0
Nodelocation: 320,408,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Close Building_stock

Decision Dec_build_heat
Title: Building heating system
Definition: ['BAU']
Nodelocation: 200,48,1
Nodesize: 48,28

Decision Dec_dh_prod
Title: District heat production
Definition: ['BAU']
Nodelocation: 440,48,1
Nodesize: 48,28

Decision Dec_build_ef
Title: Building energy efficiency
Definition: ['BAU']
Nodelocation: 320,48,1
Nodesize: 48,28
Windstate: 2,102,90,476,224

Variable Pm2_5_emis_from_heat
Title: PM2.5 emission
Units: mg/a
Description: 1 kWh = 3.6 MJ~
~

Definition: sum(Pm_emf*(Total_heat_purchase*3.6)*Pm_source_type, heat_system)~
~

Nodelocation: 312,336,1
Nodesize: 48,24
Windstate: 2,596,283,476,224
Valuestate: 2,87,307,851,246,0,MIDM
Reformval: [Fu_period,Heat_system]
{!40000|Att_resultslicestate: [Heat_system,3,Pm_source,1,Fu_period,1]}

Variable Exposure_pm
Title: Exposure to outdoor air PM2.5
Units: ug/m3
Definition: (Pm2_5_emis_from_heat*If_source_categories)/((sum(population,age,sex)*20*365))*1000
Nodelocation: 312,424,1
Nodesize: 48,28
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,259,64,476,224
Defnstate: 2,181,415,738,303,0,MIDM
Valuestate: 2,260,210,676,303,0,MIDM
Reformval: [Fu_period,Pm_source]
Displayinputs: , ,
{!40000|Att_resultslicestate: [Energy_class,1,Pm_source,1,Sex,1]}

Module Costs
Title: Costs
Author: vkoe
Date: 25. Janta 2011 13:39
Defaultsize: 48,24
Nodelocation: 672,136,1
Nodesize: 48,24
Diagstate: 2,20,49,429,338,17
Nodecolor: 52427,63897,65535

Index Decis__maker
{!40000|Att_previndexvalue: ['Citizen','Society']}
Title: Decis. maker
Definition: ['Citizen','Society']
Nodelocation: 112,160,1
Nodesize: 48,12

Module Household_heating_co
Title: Cost from household heating
Author: vkoe
Date: 15. Janta 2009 6:55
Defaultsize: 48,24
Nodelocation: 112,112,1
Nodesize: 48,29
Nodeinfo: 1,1,1,1,1,1,0,,0,
Diagstate: 1,153,62,646,476,17

Variable Costs_from_energy_pr
Title: Cost from district heating infrastructure
Definition: 0
Nodelocation: 456,96,1
Nodesize: 48,32

Variable Cost_heat_renov
Title: Cost of heating renovation
Units: e
Definition: Cost_of_new_heat__s+Value_of_old_heat__s
Nodelocation: 320,296,1
Nodesize: 48,24
Defnstate: 2,129,535,669,303,0,MIDM
Valuestate: 2,88,98,665,303,0,MIDM
Nodecolor: 19661,48336,65535
Reformdef: [Heat_system,Heating_renovation]
Reformval: [Heat_system,Heating_renovation]
{!40000|Att_resultslicestate: [Building_type,2,Heating_renovation,1,Heating_system,1]}

Variable Costs_from_energy_co
Title: Cost from household heating
Units: e/m2
Definition: {Operating cost:}~
var a:= Q_heat_purchase*Energy_price*Fu_time;~
~
{Investment cost:}~
var b:= (Cost_heat_renov+Cost_effic_renov)/Size_single_family_h/Fu_time;~
~
a+b
Nodelocation: 456,296,1
Nodesize: 48,24
Windstate: 2,430,168,476,313
Valuestate: 2,450,197,582,378,0,MIDM
Reformval: [Efficiency_renovatio,Heat_system]
{!40000|Att_resultslicestate: [Building_type,1,Energy_class,2,Citizen__household_h,2,Heating_system,2,Efficiency_renovatio,2]}

Variable Energy_price
Title: Energy price
Units: e/kWh
Definition: Table(Heat_system)(~
0.04670000000000001,0.06800000000000001,0.023,0,0.077,0)
Nodelocation: 456,224,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,344,354,416,303,0,MIDM
Valuestate: 2,472,482,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Cost_effic_renov
Title: Cost of energy effic. renovation
Units: e
Definition: Table(Efficiency_renovatio,Energy_class)(~
0,0,0,0,~
100,0,0,0,~
200,100,0,0,~
300,200,100,0~
)
Nodelocation: 320,352,1
Nodesize: 48,23
Defnstate: 2,440,450,591,204,0,MIDM
Valuestate: 2,408,418,562,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Energy_class,Efficiency_renovatio]
Reformval: [Efficiency_renovatio,Energy_class]

Variable Size_single_family_h
Title: Building size
Units: m2
Definition: 120
Nodelocation: 320,240,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Value_of_old_heat__s
Title: Value of old heat. system
Units: e
Definition: var a:= Original_value-(Original_value/Life_scale*Age_heat_syst);~
~
if isnan(a)=1 then 0 else a~

Nodelocation: 208,320,1
Nodesize: 48,24
Windstate: 2,554,110,476,224
Valuestate: 2,152,162,416,303,0,MIDM

Variable Cost_of_new_heat__s
Title: Cost of new heat. system
Definition: Table(Heating_renovation,Heat_system)(~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
0,0,0,0,0,0,~
1000,1000,1000,1000,1000,1000,~
0,0,0,0,0,0~
)
Nodelocation: 208,264,1
Nodesize: 48,24
Defnstate: 2,152,162,673,303,0,MIDM
Valuestate: 2,208,522,774,244,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Heating_renovation,Heat_system]
Reformval: [Heating_renovation,Heat_system]

Variable Age_heat_syst
Title: Heat. system age
Units: a
Definition: Table(Heat_system)(~
0,10,0,0,0,0)
Nodelocation: 96,320,1
Nodesize: 48,24
Valuestate: 2,56,66,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Life_scale
Title: Heat system life cycle
Units: a
Definition: Table(Heat_system)(~
0,20,0,0,0,0)
Nodelocation: 96,376,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Original_value
Title: Heat. system original value
Units: e
Definition: Table(Heat_system)(~
0,1000,0,0,0,0)
Nodelocation: 96,264,1
Nodesize: 48,24
Valuestate: 2,584,594,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Co2_price
Title: CO2 market price
Units: e/t
Definition: 13.8
Nodelocation: 568,88,1
Nodesize: 48,24

Variable Fu_time
Title: Followup time
Definition: 10
Nodelocation: 456,368,1
Nodesize: 48,24

Close Household_heating_co

Variable Costs_from_health_im
Title: Costs from health impacts
Definition: Daly_spec
Nodelocation: 112,216,1
Nodesize: 48,29

Close Costs

Variable If_source_categories
Title: PM2.5 intake fraction
Description: DOM from Piltti~
LPP and SPP from Kopra~
~
LPP = large power plant~
SPP = small power plant (<50MW)
Definition: Table(Pm_source)(~
3.4/1000000,0.6/1000000,0.5/1000000)
Nodelocation: 200,424,1
Nodesize: 48,24
Windstate: 2,489,159,476,224
Defnstate: 2,292,306,416,303,0,MIDM
Valuestate: 2,391,370,323,303,0,MIDM

Index Pm_source
Title: PM source
Description: DOM = Domestic wood conbustion~
SPP = Small power plants (<50 MW thermal capacity)~
LPP = Large power plants (>50 MW thermal capacity)
Definition: ['DOM','SPP','LPP']
Nodelocation: 200,456,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['DOM','SPP','LPP']}

Module Model2
Title: Health impacts
Description: Model to calculate DALYs for environmental exposures. Node 'Exposure scenarios' contains three scenarios (Business-as-usual, Increasing exposure, and decreasing exposure). Calculation is divided to mortality and morbidity. Morbidity calculation utilizes DALY weights and duration of disease to yield YLD (Years of Life lost due to Disease), and mortality calculation yields YLL (Years of Life Lost). In the end, these two values are added and the results are DALYs in scenarios.~
~
Pink nodes are source data nodes inputted by a user.
Author: ktluser
Date: Fri, Apr 11, 2008 9:48 AM
Defaultsize: 48,24
Nodelocation: 440,656,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Diagstate: 2,46,197,1057,695,17
Nodecolor: 52427,63897,65535
Fontstyle: Arial, 12

Variable Base_mort_rate
Title: Baseline mortality rate
Units: -
Description: Annual mortality rate in BAU scenario.
Definition: var a:=Si_pi2(Base_mortality, 5, Age_cat, Age, Age_help);~
~
a:= a/Population;~
~
a:=if isnan(a)=1 then 0 else a;~
~
if a = inf then 0 else a
Nodelocation: 312,216,1
Nodesize: 48,24
Windstate: 2,173,138,494,409
Valuestate: 2,89,42,629,816,0,MIDM
Reformval: [Mort_endpoint,Age]
Att__totalsindex: Index Mort_endpoint
{!40000|Att_resultslicestate: [Age1,2,Sex,1,Age_cat,1,Cause_of_death,1]}

Variable Population
Title: Population
Description: Annual total population~
~
5.8852e+004~

Definition: Table(Age,Sex)(~
58.852K,~
58.578K,~
58.102K,~
57.667K,~
56.681K,~
57.547K,~
57.547K,~
57.547K,~
57.547K,~
57.547K,~
64.055K,~
64.055K,~
64.055K,~
64.055K,~
64.055K,~
65.7268K,~
65.7268K,~
65.7268K,~
65.7268K,~
65.7268K,~
65.927K,~
65.927K,~
65.927K,~
65.927K,~
65.927K,~
66.565K,~
66.565K,~
66.565K,~
66.565K,~
66.565K,~
63.954K,~
63.954K,~
63.954K,~
63.954K,~
63.954K,~
66.0522K,~
66.0522K,~
66.0522K,~
66.0522K,~
66.0522K,~
74.96040000000001K,~
74.96040000000001K,~
74.96040000000001K,~
74.96040000000001K,~
74.96040000000001K,~
74.96840000000001K,~
74.96840000000001K,~
74.96840000000001K,~
74.96840000000001K,~
74.96840000000001K,~
77.945K,~
77.945K,~
77.945K,~
77.945K,~
77.945K,~
81.384K,~
81.384K,~
81.384K,~
81.384K,~
81.384K,~
66.29040000000001K,~
66.29040000000001K,~
66.29040000000001K,~
66.29040000000001K,~
66.29040000000001K,~
51.2324K,~
51.2324K,~
51.2324K,~
51.2324K,~
51.2324K,~
41.5344K,~
41.5344K,~
41.5344K,~
41.5344K,~
41.5344K,~
36.6278K,~
36.6278K,~
36.6278K,~
36.6278K,~
36.6278K,~
25.797K,~
25.797K,~
25.797K,~
25.797K,~
25.797K,~
13.2674K,~
13.2674K,~
13.2674K,~
13.2674K,~
13.2674K,~
4814,~
4814,~
4814,~
4814,~
4814,~
1122,~
1122,~
1122,~
1122,~
1122~
)
Nodelocation: 464,216,1
Nodesize: 48,24
Windstate: 2,96,393,472,224
Defnstate: 2,341,0,423,711,0,MIDM
Valuestate: 2,223,115,489,741,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Age]
Reformval: [Sex,Age]
Att__totalsindex: Index Age, Index Age_cat
Reference: N:\Huippuyksikko\Tutkimus\R89_Daly\TICT_data.xls~
Tilastokeskus:~
http://pxweb2.stat.fi/database/StatFin/vrm/vaerak/vaerak_fi.asp

Index Age
Title: Age
Description: List of age in 1 year year intervals.
Definition: Sequence( 0, 99, 1 )
Nodelocation: 464,248,1
Nodesize: 48,12
{!40000|Att_previndexvalue: [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]}

Variable Base_morbidity
Title: Baseline morbidity
Units: cases/a
Description: Annual number of morbidity cases due to a given cause-of-morbidity.~

Definition: Table(Age_cat,Morb_endpoint,Sex)(~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005],~
0,~
0,~
0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2005]~
)
Nodelocation: 624,120,1
Nodesize: 48,24
Windstate: 2,50,98,476,264
Defnstate: 2,117,101,734,530,0,MIDM
Valuestate: 2,202,33,929,499,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age_cat]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,3,Age_cat,1,Period_lt,4]}
{!40000|Att_editslicestate: [Gender,1,Age_cat,1,Morbidity,2]}

Variable Base_morb_rate
Title: Baseline morbidity rate
Description: Annual morbidity rate in BAU scenario.
Definition: var a:=Si_pi2(Base_morbidity, 5, Age_cat, Age, Age_help);~
~
a:= a/Population;~
~
a:=if isnan(a)=1 then 0 else a;~
~
if a = inf then 0 else a
Nodelocation: 624,216,1
Nodesize: 48,24
Windstate: 2,66,175,506,335
Valuestate: 2,547,16,504,796,0,MIDM
Reformval: [Morb_endpoint,Age]
Att__totalsindex: Index Morb_endpoint
{!40000|Att_resultslicestate: [Sex,1,Age1,1,Morbidity,1]}

Variable Morb_rate_scenarios
Title: Morbidity rate scenarios
Units: -
Description: Annual morbidity rate in different exposure scenarios.
Definition: var a:= if Exp_age_class = 'Yes' then Si_pi2(Exposures, 5, Age_cat, Age, Age_help)*5 else Exposures;~
var b:= Morbidity_erf;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac1;~
~
var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=(e*d)+(f*(1-d));~
g:=((g-1)/g)[Exposure='BAU'];~
g:= Base_morb_rate-Base_morb_rate*g;~
~
f:=Table(Exposure)(f, f, 1);~
e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
f:=(e*d)+(f*(1-d));~
g:=f*g;~
~
~
if Assessment_type='Health outcome scenarios' then ~
~
var j:= Oc_scen_morb;~
Si_pi2(j, 5, Age_cat, Age, Age_help)/Population~
~
else~
~
g~
~

Nodelocation: 624,288,1
Nodesize: 48,24
Windstate: 2,433,62,655,789
Defnstate: 2,603,496,559,303,0,MIDM
Valuestate: 2,357,24,630,962,0,MIDM
Reformval: [Exposure,Age]
Att__totalsindex: Index Age
{!40000|Att_resultslicestate: [Sex,1,Pollutant,3,Morb_endpoint,3,Fu_period,5,Age,1,Exposure,2]}
Log: 20.11.2008 Olli Leino~
Replaced the definition by table indexed by Morbidity:~
~
Base_morb_rate[Morbidity='Respiratory diseases']*(1+Morb_risk_change)~
Base_morb_rate[Morbidity='Cardiovascular diseases']*(1+Morb_risk_change)~
~
Old definition was:~
~
Base_morb_rate*(1+Morb_risk_change)

Variable Age_weight
Title: Age weight
Description: What are the most valuable ages in human life?
Definition: If Age_weighting= 'Yes' then~
~
var b:= Age;~
var a:= 0.16243;~
var c:= 0.04;~
~
a:=a*b*exp(-c*b);~
sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5~
~
else 1
Nodelocation: 752,368,1
Nodesize: 48,24
Windstate: 2,98,90,476,341
Defnstate: 2,168,7,416,585,0,MIDM
Nodecolor: 19661,48336,65535

Variable Start_year
Title: Assessment start year
Description: Start year of the assessment.
Definition: 2005
Nodelocation: 72,432,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888

Variable Followup_time
Title: Follow-up period
Units: Years
Description: Number of follow-up years
Definition: 35
Nodelocation: 72,504,1
Nodesize: 48,24
Valuestate: 2,120,130,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Variable Birth_rate
Title: Birth rate
Units: births/year
Description: Annual number of births~
~
58729
Definition: Table(Sex,Fu_year)(~
0,0,0,0,0,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K,58.73K~
)
Nodelocation: 72,376,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,275,106,416,459,0,MIDM
Valuestate: 2,8,352,416,482,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Fu_year]
Reformval: [Sex,Fu_year]
Reference: N:\Huippuyksikko\Tutkimus\R89_Daly\TICT_data.xls~
Tilastokeskus:~
http://www.stat.fi/til/synt/2007/synt_2007_2008-05-02_tie_001_fi.htm~


Variable Discount
Title: Annual discount rate
Units: %
Description: Annual time discount rate for future loss of life
Definition: 0
Nodelocation: 864,424,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888

Variable Base_mortality
Title: Baseline mortality
Units: deaths/a
Description: Annual number of deaths due to a given cause-of-death~
~
Note! All causes of death must be included in the node dataset because the life table modelling is based on total mortality.~

Definition: Table(Age_cat,Sex,Mort_endpoint)(~
4,1,186,14,~
3,0,14,11,~
2,0,23,14,~
3,0,36,115,~
9,0,44,188,~
8,1,62,182,~
16,2,95,163,~
49,5,154,193,~
85,10,314,266,~
203,29,517,339,~
390,90,912,419,~
769,177,1379,457,~
979,263,1576,349,~
1281,314,1702,300,~
1726,316,2101,220,~
2842,376,3286,258,~
3882,295,3995,276,~
3842,112,3593,254,~
2554,40,2283,160,~
969,2,933,61~
)
Nodelocation: 312,128,1
Nodesize: 48,24
Windstate: 2,617,121,507,597
Defnstate: 2,162,6,597,692,0,MIDM
Valuestate: 2,187,174,584,503,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age_cat]
Reformval: [Mort_endpoint,Age_cat]
Att__totalsindex: Index Age_cat, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Age_cat,1,Cause_of_death,1]}
{!40000|Att_editslicestate: [Sex,1,Mort_endpoint,2,Age_cat,1,Country,1]}
Reference: Statistics Finland:~
http://pxweb2.stat.fi/database/StatFin/vrm/vaerak/vaerak_fi.asp~
~
N:\Huippuyksikko\Tutkimus\R89_Daly\TICT_data.xls

Variable Mort_rate_scenarios
Title: Mortality rate scenarios
Units: -
Description: Annual mortality rate in different exposure scenarios.~

Definition: var a:= if Exp_age_class = 'Yes' then Si_pi2(Exposures, 5, Age_cat, Age, Age_help)*5 else Exposures;~
var b:= Mortality_erf;~
var c:= Mort_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac1;~
~
var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~
g:=(g-1)/g;~
g:= Base_mort_rate-sum(Base_mort_rate*g,pollutant);~
~
f:=Table(Exposure)(f, f, 1);~
e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
f:=(e*d)+(f*(1-d));~
f:=exp(sum(ln(f),pollutant));~
g:=f*g;~
~
Var h:= a-a[Exposure='BAU', @Fu_period=1];~
h:= b[Erf_type='Absolute Risk']/c*h*d;~
h:=sum(h,pollutant);~
~
var i:= sum(Table(Erf_type)(g,h),Erf_type);~
~
if Assessment_type='Health outcome scenarios' then ~
~
var j:= Oc_scen_mort;~
Si_pi2(j, 5, Age_cat, Age, Age_help)/Population~
~
else~
~
i~
~

Nodelocation: 312,288,1
Nodesize: 48,24
Windstate: 2,597,137,476,839
Defnstate: 2,131,524,556,303,0,MIDM
Valuestate: 2,1015,46,741,763,0,MIDM
Reformval: [Mort_endpoint,Age]
Att__totalsindex: Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Run,1,Exposure,3,Age,1,Mort_endpoint,2]}

Objective Le_cohort
Title: Life expectancy in birth cohort
Units: Years
Description: Life-expectancy for a birth cohort exposed to the given level throughout the entire life.
Definition: var a:= sum(Mort_rate_scenarios,Mort_endpoint);~
~
a:= if Mort_effect = 'Acute' then a[Exposure='BAU'] else a;~
~
a:= if Exp_year_class = 'Yes' then~
(a:=a[Fu_period=period_lt];~
a:= if a = null then a[Period_lt=max(Fu_period)] else a;~
a:= Si_pi2(a, 5, Period_lt, Year_lt, Year_help)*5)~
else a;~
~
a:=if a < 0 then 0 else a;~
a:=if a>1 then 1 else a;~
~
a:= ((2-a)/(2+a));~
~
var b:=1;~
var c:=0;~
var d:=0;~
var x:= 0;~
while x<=99 do (~
c:=b*a[Age=x, @Year_lt=x+1];~
d:=d+c+(b-c)/2;~
b:=c;~
x:= x+1); ~
~
d~
~
~

Nodelocation: 416,400,1
Nodesize: 48,24
Windstate: 2,946,208,594,721
Valuestate: 2,409,57,480,736,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Exposure,Sex,Undefined,2]
Att__totalsindex: Index Age, Index Mort_endpoint
{!40000|Att_resultslicestate: [Fu_period,2,Sex,1,Exposure,3]}
Reference: Figure 1:~
<a href="N:\Huippuyksikko\Tutkimus\R89_Daly\Mallit\Graphs1.xls">Graphs1</a>~

Log: <a href="N:\Huippuyksikko\Tutkimus\R50_LifeTable\Mallit\Tainio_Life-table_8.ANA">Tainio Life-Table</a>

Objective Ab_morbidity_spec
Title: Morbidity, specified
Units: cases
Description: Morbidity cases attributable to the exposure in different scenarios.
Definition: if Assessment_type = 'Exposure scenarios' then~
~
var a:= Exposures;~
var b:= Morbidity_erf;~
b:= sum(if floor(Age/5)+1 = @age_cat then b else 0 , Age)/5;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:= Pop_frac1;~
var e:= Morb_rate_scenarios;~
e:= sum(if floor(Age/5)+1 = @age_cat then e else 0 , Age)/5;~
~
var f:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
var g:=((f*d)+(1-d))[Exposure='Reference'];~
g:=Table(Exposure)(g, g, 1);~
var h:=(f*d)+(g*(1-d));~
h:=(h-1)/h*e;~
~
var j:= b[Erf_type='Absolute Risk']/c*a*d;~
~
var m:= sum(Table(Erf_type)(h,j)*Pop_in_time_ave,Erf_type);~
var n:= m/sum(Pop_in_time_ave, age_cat)*100000;~
m:=Table(Pop_unit)(m,n);~
var o:=Table(Pop_unit,Time_unit)(m, m*5 , n, n*5);~
o:= if followup_time <2 then m else o;~
~
if Outcome= 'EBD' then o else o[Exposure='Alternative']-o[Exposure='BAU']~
~
~
else ~
~
~
var a:= Morb_rate_scenarios;~
a:= sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5;~
~
a:=a*Pop_in_time_ave;~
a:= if Perc_morb = 0 then 0 else a;~
~
var b:= a/sum(Pop_in_time_ave, age_cat)*100000;~
~
a:=Table(Pop_unit)(a,b);~
var c:=Table(Pop_unit,Time_unit)(a, a*5 , b, b*5);~
a:= if followup_time <2 then a else c;~
~
if Outcome = 'EBD' then a-a[Exposure='Reference']~
~
else ~
~
a[Exposure='Alternative']-a[Exposure='BAU']~
~
~
~
~
~

Nodelocation: 624,432,1
Nodesize: 48,20
Windstate: 2,1179,39,531,926
Valuestate: 2,101,60,546,640,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Morb_endpoint,Age_cat]
Att__totalsindex: Index Age, Index Age_cat, Index Fu_period
{!40000|Att_resultslicestate: [Sex,1,Fu_period,6,Pop_unit,1,Time_unit,1,Exposure,1,Pollutant,1,Run,1,Age_cat,1,Morb_endpoint,3]}

Objective Yll_spec
Title: YLL, specified
Units: years
Description: Years of life lost due to mortality attributable to the exposure of interest
Definition: if Assessment_type = 'Total burden of disease' then~
~
var a:=Exposures;~
var b: Mort_erf_bod;~
var c:= Mort_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac1;~
~
var e:= exp(ln(b)/c*a);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
f:=Table(Exposure)(f, f, 1);~
var g:=(e*d)+(f*(1-d));~
g:=(g-1)/g*As_total_yll~
~
else if Mort_effect = 'Acute' then ~
~
Ab_mortality_spec*Life_lost*Age_weight*Npv_life_year[period_lt=Fu_period]~
~
else if App_yll = 'Life tables' then~
~
var a:=Life_years[period_lt=fu_period];~
a:= (a[Exposure='Reference']-a);~
var b:= a/sum(Pop_in_time_beg[period_lt=Fu_period], age_cat)*100000;~
b:=Table(Pop_unit,Time_unit)(a/5, a , b/5, b);~
if Outcome= 'Change in EBD' then b[Exposure='Alternative']-b[Exposure='BAU'] else b~
~
else~
~
var a:= if Life_expectancy='Standard' then Standard_le else Ad_le[Exposure='Reference'];~
Ab_mortality_spec*a~

Nodelocation: 312,584,1
Nodesize: 48,12
Windstate: 2,136,79,526,778
Valuestate: 2,-58,75,787,632,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat,Undefined,Undefined,1]
Att__totalsindex: Index Age, Index Age_cat, Index Mort_endpoint, Index Fu_period
{!40000|Att_resultslicestate: [Pop_unit,1,Sex,1,Time_unit,1,Exposure,1,Mort_endpoint,0,Pollutant,1,Run,1,Age_cat,0,Fu_period,4]}

Objective Yld_spec
Title: YLD, specified
Units: years
Description: Years of life lost due to morbidity attributable to the exposure of interest.
Definition: if Assessment_type = 'Total burden of disease' then~
~
var a:=Exposures;~
var b: Morb_erf_bod;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac1;~
~
var e:= exp(ln(b)/c*a);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
f:=Table(Exposure)(f, f, 1);~
var g:=(e*d)+(f*(1-d));~
g:=((g-1)/g)*As_total_yld~
~
else~
~
var a:= Ab_morbidity_spec*Duration*Daly_weight*Npv_life_year[period_lt=Fu_period];~
~
if isnan(a)=1 then 0 else a;~

Nodelocation: 624,584,1
Nodesize: 48,12
Windstate: 2,957,140,573,743
Valuestate: 2,42,30,696,654,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age, Index Age_cat, Index Fu_period
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Pop_unit,1,Exposure,1,Time_unit,1,Pollutant,1,Run,1,Age_cat,1,Fu_period,1]}

Objective Daly_spec
Title: DALY, specified
Units: years
Description: Annual loss of disability adjusted life years attributable to the exposure in different scenarios.~

Definition: if App_yll = 'Life table' then~
~
Yll_spec+sum(Yld_spec,Morb_endpoint)~
~
else~
~
sum(Yll_spec,Mort_endpoint)+sum(Yld_spec,Morb_endpoint)
Nodelocation: 464,584,1
Nodesize: 48,20
Windstate: 2,102,90,476,419
Defnstate: 2,191,289,416,303,0,MIDM
Valuestate: 2,228,19,681,612,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat,Undefined,Undefined,1]
Att__totalsindex: Index Age_cat, Index Fu_period
{!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Time_unit,2,Exposure,1,Age_cat,0,Fu_period,1]}

Alias Cause_of_death2
Title: Cause of death
Definition: 1
Nodelocation: 312,160,1
Nodesize: 52,12
Original: Mort_endpoint

Alias Morbidity2
Title: Morbidity
Definition: 1
Nodelocation: 624,152,1
Nodesize: 52,12
Original: Morb_endpoint

Variable Oc_scen_mort
Title: Mortality in outcome scenarios
Description: Total mortality in different outcome scenarios
Definition: Table(Exposure)(~
Base_mortality,Alt_mortality,Base_mortality-Base_mortality*Perc_mort)
Nodelocation: 184,288,1
Nodesize: 48,24
Windstate: 2,102,90,513,388
Defnstate: 2,115,266,881,519,0,MIDM
Valuestate: 2,243,273,583,538,0,MIDM
Reformdef: [Sex]
Reformval: [Exposure,Age_cat]
Att__totalsindex: Index Age_cat, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Mort_endpoint,2,Fu_period,1,Age_cat,1,Exposure,3]}

Module Help_nodes
Title: Technical nodes
Author: vkoe
Date: 21. Janta 2009 9:47
Defaultsize: 48,24
Nodelocation: 992,56,1
Nodesize: 48,24
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 1,78,63,569,589,17

Index Age_cat
Title: Age cat
Description: Age categories used in morbidity datasets.
Definition: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+']
Nodelocation: 96,296,1
Nodesize: 48,12
Windstate: 2,25,12,335,453
Valuestate: 2,754,375,416,462,0,MIDM
{!40000|Att_previndexvalue: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+']}

Module Dose_response
Title: Mortality exposure- response
Description: This module gives an exposure-response function for non-accidental mortality due to long-term exposure. The value attained from an expert panel ~
(Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter: Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744)
Author: ktluser
Date: 6. Mayta 2008 9:06
Saveauthor: olex
Savedate: Wed, Aug 27, 2008 4:37 PM
Defaultsize: 48,24
Nodelocation: 96,48,1
Nodesize: 48,28
Diagstate: 1,689,36,570,573,17
Fontstyle: Arial, 15

Variable Ambient_pdm1
Title: ambient.PDM
Description: PDM = performance-based decision maker~
~
Numbers from table 4, page 742.~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744
Definition: Table(Percentile2)(~
0.029,0.14,0.62,1.1,3.9)
Nodelocation: 168,64,1
Nodesize: 48,24
Windstate: 2,102,90,517,324
Defnstate: 2,369,70,416,303,0,MIDM
Valuestate: 2,215,13,416,303,0,MIDM
Nodecolor: 1,49155,65535

Index Percentile2
{!40000|Att_previndexvalue: [0.05,0.25,0.5,0.75,0.95]}
Title: Percentile
Definition: [0.05,0.25,0.5,0.75,0.95]
Nodelocation: 168,96,1
Nodesize: 48,13

Variable Ambient_edm1
Title: ambient.EDM
Description: EDM = equal-weight decision maker~
~
Numbers from table 4, page 742.~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744
Definition: Table(Percentile2)(~
0.034,0.41,0.98,1.6,4.6)
Nodelocation: 328,64,1
Nodesize: 48,24
Windstate: 2,624,208,476,224
Defnstate: 2,417,35,416,303,0,MIDM
Valuestate: 2,264,274,416,303,0,MIDM
Nodecolor: 1,49155,65535

Chance Edm_cumdist1
Title: EDM-cumdist
Description: Forms a distribution out of data.
Definition: var a:=cumdist(Percentile2,Ambient_edm1);~
a
Nodelocation: 328,160,1
Nodesize: 48,24
Valuestate: 2,836,241,416,303,1,PDFP
Displayoutputs: Variable Clipboard_input_vari,

Chance Pdm_cumdist1
Title: PDM-cumdist
Description: Forms a distribution out of data.
Definition: var a:=cumdist(Percentile2,Ambient_pdm1);~
a
Nodelocation: 168,160,1
Nodesize: 48,24
Windstate: 2,161,327,476,224
Valuestate: 2,382,285,514,488,1,MIDM
Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ]
Displayoutputs: Variable Clipboard_input_vari,

Variable Combined_c_r_functi2
Title: Combined c-r function
Description: Randomization node. Uses node PDM vs. EDM.
Definition: var a:=if Pdm_vs__edm1=1 then Pdm_cumdist1 else Edm_cumdist1;~
a
Nodelocation: 248,232,1
Nodesize: 48,24
Valuestate: 2,300,63,237,252,1,MEAN

Chance Pdm_vs__edm1
Title: PDM vs. EDM
Description: This randomizes the values 0 or 1 be an even probability.
Definition: Bernoulli(.5)
Nodelocation: 432,232,1
Nodesize: 48,24
Valuestate: 2,72,82,416,303,0,SAMP
Displayoutputs: Variable Clipboard_input_vari,

Chance Plausibility
Title: Plausibility
Description: 5% Plausibility assumed. Based on following sentence:~
~
"Third, while the 5% lower estimates of two of the~
experts (and of both combinations) are somewhat lower than~
the 5% lower confidence estimate taken directly from the~
ACS study, no expert assigned as much as 5% probability to~
zero impact."~
~
ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18)
Definition: bernoulli(0.95)
Nodelocation: 432,304,1
Nodesize: 48,24
Windstate: 2,102,90,476,430
Valuestate: 2,72,82,416,303,0,SAMP
Nodecolor: 1,65535,65535
Displayoutputs: Variable Clipboard_input_vari,

Variable Cr_plausibility1
Title: cr.plausibility
Units: % change / 1ug
Description: Is this procentual change in risk? i.e.0.98% /1ug increase~

Definition: if Plausibility=1 then Combined_c_r_functi2 else 0
Nodelocation: 248,304,1
Nodesize: 48,24
Valuestate: 2,785,247,413,306,1,STAT
Nodecolor: 65535,52427,57888
Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~
{!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,-10,100}~
{!40000|Att_graphvaluerange Cr_plausibility1:1,,0,,,,,-0.5,2}

Variable E_r_pm_mortality
Title: E-R PM mortality
Units: % change / 1ug
Description: Exposure-response of fine particle mortality. If there is age dependancy in exposure-response, you may input different values for different age groups. If not, you may enter the same exposure-response for all the age groups.
Definition: Table(Age)(~
Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1,Cr_plausibility1)
Nodelocation: 248,376,1
Nodesize: 48,24
Defnstate: 2,168,178,391,712,0,MIDM

Close Dose_response

Index Sex
Title: Sex
Definition: If Sex_class='Yes' then Copyindex(Sex_yes) else Copyindex(Sex_no)
Nodelocation: 96,160,1
Nodesize: 48,12
Windstate: 2,102,90,476,224
{!40000|Att_previndexvalue: ['Male/female']}

Function Si_pi2(data, kerroin;karkea,tarkka:indextype;indtieto)
Title: Si_pi
Description: Data = data to be divided into more detailed parts~
Kerroin = relative weight inside a cluster~
Karkea = index for the clustered data~
Tarkka = index for the detailed data~
Indtieto = Data about which detailed item belongs to which cluster
Definition: var a:=sum((if indtieto=karkea then kerroin else 0), tarkka);~
a:= sum((if indtieto=karkea then a else 0), karkea);~
a:= kerroin/a;~
sum((if indtieto=karkea then data*a else 0), karkea)
Nodelocation: 208,48,1
Nodesize: 48,24
Windstate: 2,546,217,476,494
Paramnames: data,kerroin,karkea,tarkka,indtieto

Variable Age_help
Title: Age help
Description: A help node to group age index~
~
This node is used in transforming morbidity and mortality datasets in 5 year intervals into 1 year interval datasets.
Definition: Table(Age)(~
'0-4','0-4','0-4','0-4','0-4','5-9','5-9','5-9','5-9','5-9','10-14','10-14','10-14','10-14','10-14','15-19','15-19','15-19','15-19','15-19','20-24','20-24','20-24','20-24','20-24','25-29','25-29','25-29','25-29','25-29','30-34','30-34','30-34','30-34','30-34','35-39','35-39','35-39','35-39','35-39','40-44','40-44','40-44','40-44','40-44','45-49','45-49','45-49','45-49','45-49','50-54','50-54','50-54','50-54','50-54','55-59','55-59','55-59','55-59','55-59','60-64','60-64','60-64','60-64','60-64','65-69','65-69','65-69','65-69','65-69','70-74','70-74','70-74','70-74','70-74','75-79','75-79','75-79','75-79','75-79','80-84','80-84','80-84','80-84','80-84','85-89','85-89','85-89','85-89','85-89','90-94','90-94','90-94','90-94','90-94','95+','95+','95+','95+','95+')
Nodelocation: 208,120,1
Nodesize: 48,24
Nodeinfo: 1,1,0,1,1,1,0,,0,
Defnstate: 2,85,271,416,571,0,MIDM
Nodecolor: 65535,65531,1

Index Sex_yes
Title: Sex yes
Definition: ['Male','Female']
Nodelocation: 96,112,1
Nodesize: 48,12

Index Sex_no
Title: Sex no
Definition: ['Male/female']
Nodelocation: 96,136,1
Nodesize: 48,12

Variable Outcome_scen_help
Title: Outcome scen help
Definition: Table(Age_cat)(~
'All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages')
Nodelocation: 208,176,1
Nodesize: 48,24
Nodeinfo: 1,0,0,1,1,1,0,,0,
Defnstate: 2,198,274,416,303,0,MIDM
Nodecolor: 65535,65531,1

Decision Mort_effect
Title: Type of mortality effect
Definition: Choice(Self,1)
Nodelocation: 328,48,1
Nodesize: 48,24
Windstate: 2,169,50,476,224
Domain: ['Chronic','Acute']

Index Erf_type
Title: ERF type
Definition: ['Relative Risk','Absolute Risk']
Nodelocation: 96,200,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Relative Risk','Absolute Risk']}

Decision App_yll
Title: Approach for YLL calculation
Definition: Choice(Self,2)
Nodelocation: 328,112,1
Nodesize: 48,29
Domain: ['Life tables','Attributable deaths']

Variable Year_help
Title: Year help
Definition: var a:= if year_lt >= period_lt and year_lt< period_lt+5 then period_lt else 0;~
sum(a,period_lt)
Nodelocation: 208,232,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,120,130,424,513,0,MIDM
Valuestate: 2,458,169,416,679,0,MIDM
Nodecolor: 65535,65532,19661

Decision Outcome
Title: Outcome of interest
Definition: Choice(Self,1)
Nodelocation: 328,176,1
Nodesize: 48,24
Domain: ['EBD','Change in EBD']

Index Pop_unit
Title: Population unit
Definition: ['Total population','100000 population']
Nodelocation: 96,232,1
Nodesize: 48,16

Index Time_unit
Title: Time unit
Definition: ['Average annual','5-year period']
Nodelocation: 96,264,1
Nodesize: 48,12
Windstate: 2,275,208,476,224

Variable Standard_le
Title: Standard LE
Description: Standard life-expectancy, i.e. the life-expectancy of the japanese population~
~
Source: WHO, Life Tables for WHO Member States, Japan 2006
Definition: Table(Age_cat)(~
82,77.90000000000001,73,68,63.1,58.2,53.4,48.5,43.7,39,34.3,29.9,25.5,21.4,17.4,13.7,10.5,7.7,5.4,3.6)
Nodelocation: 448,104,1
Nodesize: 48,24
Defnstate: 2,136,146,416,430,0,MIDM
Valuestate: 2,344,354,416,447,0,MIDM

Decision Life_expectancy
Title: Life-expectancy
Definition: Choice(Self,1)
Nodelocation: 448,48,1
Nodesize: 52,24
Domain: ['Target population','Standard']

Variable Period_vs_year
Title: Period vs year
Definition: var a:= if Year_lt = Period_lt then Period_lt else 0;~
sum(a,Year_lt)~

Nodelocation: 448,160,1
Nodesize: 48,24
Valuestate: 2,360,165,501,494,0,MIDM
Reformval: [Fu_year,Fu_period]

Index Year_lt
Title: Year LT
Definition: sequence(Start_year,Start_year+99,1)
Nodelocation: 448,220,1
Nodesize: 48,12

Index Period_lt
Title: Period LT
Definition: sequence(Start_year,Start_year+99,5)
Nodelocation: 448,244,1
Nodesize: 48,12
Windstate: 2,543,209,476,224
Valuestate: 2,590,506,416,407,0,MIDM

Index Morb_endpoint
{!40000|Att_previndexvalue: ['Chronic bronchitis','RAD','Asthma']}
Title: Morb endpoints
Description: Morbidity endpoints included in the assessment.~
~
Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'.
Definition: ['Chronic bronchitis','RAD','Asthma']
Nodelocation: 188,408,1
Nodesize: 52,21
Windstate: 2,151,56,476,224
Valuestate: 2,612,556,416,303,0,MIDM
Aliases: Alias Morbidity2

Index Mort_endpoint
Title: Mort endpoints
Description: Causes of death -classification used in the assessment.~
~
Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'.
Definition: ['Cardiopulmonary','Lung cancer','Other non-accidental','Accidental']
Nodelocation: 92,408,1
Nodesize: 52,21
Windstate: 2,107,90,476,266
Aliases: Alias Cause_of_death2
{!40000|Att_previndexvalue: ['Cardiopulmonary','Lung cancer','Other non-accidental','Accidental']}

Decision Sex_class
Title: Sex specified impact assessment
Definition: Choice(Self,1)
Nodelocation: 92,472,1
Nodesize: 48,32
Nodeinfo: 1,1,0,1,1,1,0,,0,
Domain: ['No','Yes']

Decision Assessment_type
Title: Starting point for the assessment
Definition: Choice(Self,1)
Nodelocation: 188,472,1
Nodesize: 48,32
Nodeinfo: 1,1,0,1,1,1,0,,0,
Windstate: 2,102,90,476,224
Domain: ['Exposure scenarios','Health outcome scenarios','Total burden of disease']

Module Bod
Title: BoD
Author: vkoe
Date: 27. Janta 2011 10:36
Defaultsize: 48,24
Nodelocation: 96,352,1
Nodesize: 48,24
Diagstate: 2,-3,0,247,295,17

Module Nodes3
Title: Technical nodes
Author: jtue
Date: 17. huhta 2009 14:34
Defaultsize: 48,24
Nodelocation: 96,48,1
Nodesize: 48,24
Diagstate: 1,37,36,261,192,17

Variable As_total_yll
Title: Age-specific total YLL
Definition: Table(Age,Sex,Mort_endpoint)(~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
3000,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0~
)
Nodelocation: 96,48,1
Nodesize: 48,24
Defnstate: 2,379,150,483,580,0,MIDM
Valuestate: 2,210,249,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age_cat]
{!40000|Att_editslicestate: [Gender,1,Age_cat,1,Cause_of_death,1]}

Variable As_total_yld
Title: Age-specific total YLD
Definition: Table(Age,Sex,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 96,104,1
Nodesize: 48,24
Defnstate: 2,200,391,416,483,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age]

Close Nodes3

Module Technical_nodes5
Title: Technical nodes
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 96,160,1
Nodesize: 48,24
Diagstate: 1,1,0,368,296,17

Variable Bod_mort_erf_gen
Title: General mortality ERF
Definition: Table(Sex,Mort_endpoint)(~
1,1,0,0~
)
Nodelocation: 120,80,1
Nodesize: 48,29
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Mort_endpoint]

Variable Bod_mort_erf_as
Title: Age-specific mortality ERF
Definition: Table(Age,Sex,Mort_endpoint)(~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1.05,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0,~
1,1,0,0~
)
Nodelocation: 120,152,1
Nodesize: 48,29
Defnstate: 2,336,127,565,642,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age]
{!40000|Att_editslicestate: [Sex,1,Age1,1,Mort_endpoint,1]}

Variable Mort_erf_bod
Title: Mortality ERF
Definition: If Mort_erf_age_class = 'No' then Bod_mort_erf_gen else Bod_mort_erf_as
Nodelocation: 248,120,1
Nodesize: 48,24
Reformval: [Age,Mort_endpoint]

Close Technical_nodes5

Module Technical_nodes6
Title: Technical nodes
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 96,104,1
Nodesize: 48,24
Diagstate: 1,376,139,355,286,17

Variable Bod_morb_erf_gen
Title: General morbidity ERF
Definition: Table(Sex,Morb_endpoint)(~
1,0,0~
)
Nodelocation: 112,80,1
Nodesize: 48,29
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Morb_endpoint]

Variable Bod_morb_erf_as
Title: Age-specific morbidity ERF
Definition: Table(Age,Sex,Morb_endpoint)(~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0~
)
Nodelocation: 112,152,1
Nodesize: 48,29
Defnstate: 2,511,295,416,441,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age]

Variable Morb_erf_bod
Title: Morbidity ERF
Definition: If Morb_erf_age_class = 'No' then Bod_morb_erf_gen else Bod_morb_erf_as
Nodelocation: 232,120,1
Nodesize: 48,24
Valuestate: 2,456,466,483,313,0,MIDM
Reformval: [Morb_endpoint,Age]

Close Technical_nodes6

Close Bod

Close Help_nodes

Variable Oc_scen_morb
Title: Morbidity in outcome scenarios
Description: Morbidity in different outcome scenarios~
~
*Morbidity in BAU = Baseline morbidity~
*Morbidity in outcome scenario 1 = baseline morbidity + the change in attributable morbidity compared to the BAU scenario
Definition: Table(Exposure)(~
Base_morbidity, Alt_morbidity, Base_morbidity-Base_morbidity*Perc_morb )
Nodelocation: 752,288,1
Nodesize: 48,24
Windstate: 2,102,90,541,379
Valuestate: 2,44,66,461,475,0,MIDM
Reformval: [Morb_endpoint,Age_cat]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Exposure_bau,1,Age_cat,1,Morb_endpoint,1]}

Objective Ab_mortality_spec
Title: Mortality, specified
Units: deaths
Description: Deaths attributable to the exposure in different scenarios.~

Definition: if Assessment_type = 'Exposure scenarios' then~
~
var a:= Exposures;~
var b:= Mortality_erf;~
b:= sum(if floor(Age/5)+1 = @age_cat then b else 0 , Age)/5;~
var c:= Mort_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:= Pop_frac1;~
var e:= Mort_rate_scenarios;~
e:= sum(if floor(Age/5)+1 = @age_cat then e else 0 , Age)/5;~
~
var f:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
var g:=((f*d)+(1-d))[Exposure='Reference'];~
g:=Table(Exposure)(g, g, 1);~
var h:=(f*d)+(g*(1-d));~
h:=(h-1)/h*e;~
~
var j:= b[Erf_type='Absolute Risk']/c*a*d;~
~
var m:= sum(Table(Erf_type)(h,j)*Pop_in_time_ave,Erf_type);~
var n:= m/sum(Pop_in_time_ave, age_cat)*100000;~
m:=Table(Pop_unit)(m,n);~
var o:=Table(Pop_unit,Time_unit)(m, m*5 , n, n*5);~
o:= if followup_time <2 then m else o;~
~
if Outcome= 'Change in EBD' then o[Exposure='Alternative']-o[Exposure='BAU'] else o~
~
~
else ~
~
~
var a:= Mort_rate_scenarios;~
a:= sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5;~
~
a:=a*Pop_in_time_ave;~
a:= if Perc_mort = 0 then 0 else a;~
~
var b:= a/sum(Pop_in_time_ave, age_cat)*100000;~
~
a:=Table(Pop_unit)(a,b);~
var c:=Table(Pop_unit,Time_unit)(a, a*5 , b, b*5);~
a:= if followup_time <2 then a else c;~
~
if Outcome = 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a-a[Exposure='Reference']~
~
~
~
~
~
~

Nodelocation: 520,432,1
Nodesize: 48,20
Windstate: 2,216,40,509,909
Valuestate: 2,33,65,694,807,0,MIDM
Nodecolor: 65535,19661,38773
Graphsetup: {!40000|Att_graphvaluerange Ab_mortality_spec:|1:1,,0,,,,,8000,14K}~
{!40000|Att_graphvaluerange Graph_cdf_valdim:1,,1,1}~
{!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,200}
Reformval: [Mort_endpoint,Age_cat,2,2,1]
Att__totalsindex: Index Age, Index Age_cat, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Pollutant,1,Fu_period,6,Pop_unit,1,Time_unit,1,Run,1,Age_cat,10,Mort_endpoint,1]}
{!40200|Att_graphsetupslices: [3,1,Densityindex,1]}

Objective Ad_le
Title: Age-adjusted life expectancy
Units: Years
Description: Age-adjusted life-expectancy~

Definition: Var a:=Life_years;~
~
var b:= 0;~
var x:= 1;~
while x<= min([size(age_cat),size(Period_lt)]) do (~
b:= b + a;~
a:= a[@age_cat=@age_cat+1, @Period_lt=@Period_lt+1];~
a:= if a=null then 0 else a;~
x:= x+1);~
~
b:=b[@Period_lt=1]/Pop_in_time_beg[@Period_lt=1];~
if isnan(b)=1 then 0 else b
Nodelocation: 312,400,1
Nodesize: 48,24
Windstate: 2,159,70,476,757
Valuestate: 2,80,140,419,505,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Exposure,Age_cat]
{!40000|Att_resultslicestate: [Sex,1,Run,1,Age_cat,1,Exposure,3]}

Variable Pop_frac1
Title: Fraction of exposed population
Definition: Table(Exposure,Pollutant)(~
1,1,Exposure_mold,~
1,1,0,~
1,1,0~
)
Nodelocation: 464,128,1
Nodesize: 48,24
Windstate: 2,88,119,476,224
Defnstate: 2,238,69,416,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Exposure,Pollutant]

Variable Life_lost
Title: Loss of life at death
Units: Years/death
Definition: Table(Age_cat,Sex,Mort_endpoint)(~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0~
)
Nodelocation: 72,584,1
Nodesize: 48,24
Windstate: 2,134,115,476,224
Defnstate: 2,253,130,414,526,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age_cat]
Reformval: [Sex,Age_cat]

Variable Npv_life_year
Title: NPV of a life year
Description: Net present value of one life year~

Definition: var a:=Period_lt-Start_year+2.5;~
var b:= Discount/100;~
(1-b)^a~
~

Nodelocation: 752,424,1
Nodesize: 48,24
Windstate: 2,111,148,476,291
Valuestate: 2,291,175,409,600,0,MIDM

Module Technical_nodes1
Title: Mortality ERF
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 184,216,1
Nodesize: 48,24
Diagstate: 2,72,42,340,451,17
Nodecolor: 19661,48336,65535

Variable Mortality_erf
Title: Mortality ERF
Description: Exposure-response function for mortality endpoint
Definition: If Mort_erf_age_class = 'No' then Mort_erf_gen else Mort_erf_as
Nodelocation: 208,152,1
Nodesize: 48,24
Valuestate: 2,72,82,601,655,0,MIDM
Reformval: [Mort_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Pollutant,2,Run,1,Age,1,Mort_endpoint,1]}

Decision Mort_erf_age_class
Title: Age-specific mortality ERF
Definition: Choice(Self,2)
Nodelocation: 208,56,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Domain: ['No','Yes']

Variable Mort_erf_gen
Title: General mortality ERF
Description: Exposure-response functions for mortality, defined as relative risk (RR)~
~
This node is used if ERF is the same for all age groups~
~
*Relative risk =1 if there is no known dependence between the studied exposure and a particular cause of death~
*Absolute risk = 0 If there is no known dependence between the studied exposure and a particular cause of death
Definition: Table(Sex,Erf_type,Mort_endpoint)(~
1,1,0,0,~
0,0,0,0~
)
Nodelocation: 80,96,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,102,90,476,224
Defnstate: 2,209,148,416,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Mort_endpoint]
Reformval: [Sex,Mort_endpoint]
Displayoutputs: []
{!40000|Att_editslicestate: [Erf_type,1,Mort_endpoint,1,Sex,1]}

Variable Mort_erf_as
Title: Age-specific mortality ERF
Description: Exposure-response functions for mortality, defined as relative risk (RR)~
~
This node is used if the ERF differs between age groups~
~
*Relative risk =1 if there is no known dependence between the studied exposure and a particular cause of death~
*Absolute risk = 0 If there is no known dependence between the studied exposure and a particular cause of death
Definition: Table(Age,Sex,Mort_endpoint,Erf_type,Pollutant)(~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,Erf_radon_lc,1,~
0,0,0,~
1,1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
(exp(Cr_plausibility/100)),Erf_radon_lc,1,~
0,0,0,~
(exp(Cr_plausibility/100)),1,1,~
0,0,0,~
1,1,1,~
0,0,0~
)
Nodelocation: 80,152,1
Nodesize: 48,24
Windstate: 2,125,89,476,323
Defnstate: 2,376,-5,985,899,0,MIDM
Valuestate: 2,152,162,511,641,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Run,21,Pollutant,1,Age,1,Mort_endpoint,1]}
{!40000|Att_editslicestate: [Sex,1,Erf_type,1,Pollutant,3,Age,1,Mort_endpoint,1]}

Variable Mort_erf_unit
Title: Mortality ERF unit
Description: Number of exposure units the relative risk for mortality refers to.
Definition: Table(Mort_endpoint,Pollutant)(~
1,1,1,~
1,1,1,~
1,1,1,~
1,1,1~
)
Nodelocation: 80,208,1
Nodesize: 48,24
Defnstate: 2,122,75,762,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Pollutant]

Variable Leukemia_mortality
Title: Leukemia mortality
Description: Finland
Definition: Table(Age_cat,Sex)(~
3 ,~
3 ,~
4 ,~
4 ,~
4 ,~
1 ,~
2 ,~
2 ,~
4 ,~
6 ,~
9 ,~
15 ,~
21 ,~
31 ,~
41 ,~
60 ,~
60 ,~
31 ,~
16 ,~
3 ~
)
Nodelocation: 80,280,1
Nodesize: 48,24

Variable Leukemia_erf
Title: Leukemia ERF
Definition: var a:= Si_pi2(leukemia_mortality, 5, Age_cat, Age, Age_help);~
a:=a/sum(a,Age);~
0.000006*a
Nodelocation: 80,336,1
Nodesize: 48,24
Reformval: [Sex,Age]

Close Technical_nodes1

Module Technical_nodes2
Title: Morbidity ERF
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 752,216,1
Nodesize: 48,24
Diagstate: 2,1128,158,315,324,17
Nodecolor: 19661,48336,65535

Variable Morbidity_erf
Title: Morbidity ERF
Units: -
Description: Exposure-response function for morbidity endpoint
Definition: if Morb_erf_age_class = 'Yes' then Morbidity_erf_as else Morbidity_erf_gen
Nodelocation: 200,152,1
Nodesize: 48,24
Windstate: 2,216,125,534,370
Valuestate: 2,29,66,692,733,0,MIDM
Reformval: [Pollutant,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Morb_endpoint,1,Age,1,Pollutant,1]}

Variable Morbidity_erf_as
Title: Age-specific morbidity ERF
Description: Exposure-response functions for morbidity, defined as relative risk (RR)~
~
This node is used if the ERF differs between age groups~
~
*Age classification: 1 year intervals. ~
*Sex classification: can be used if necessary~
*RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity
Definition: Table(Age,Sex,Erf_type,Morb_endpoint,Pollutant)(~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
0,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
Erf_pm_rad,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0,~
1,1,1,~
1,1,1,~
1,1,Erf_mold,~
Erf_pm_cb,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 80,152,1
Nodesize: 48,24
Windstate: 2,183,44,488,475
Defnstate: 2,165,77,532,889,0,MIDM
Valuestate: 2,397,1,451,895,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Pollutant,3,Age,1,Morb_endpoint,1]}
{!40000|Att_editslicestate: [Sex,1,Erf_type,2,Pollutant,1,Age,1,Morb_endpoint,1]}
Reference: Cafe raport

Variable Morbidity_erf_gen
Title: General morbidity ERF
Description: Exposure-response functions for morbidity, defined as relative risk (RR)~
~
This node is used if ERF is the same for all age groups~
~
*No age classification. ~
*Sex classification: can be used if necessary~
*RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity
Definition: Table(Sex,Erf_type,Morb_endpoint)(~
1,0,0,~
0,0,0~
)
Nodelocation: 80,96,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Morb_endpoint]
Reformval: [Sex,Morb_endpoint]
{!40000|Att_editslicestate: [Erf_type,1,Morb_endpoint,1,Sex,1]}

Variable Morb_erf_unit
Title: Morbidity ERF unit
Description: Number of exposure units the relative risk for morbidity refers to.
Definition: Table(Morb_endpoint,Pollutant)(~
1,1,1,~
10,1,1,~
1,1,1~
)
Nodelocation: 80,208,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Pollutant]

Decision Morb_erf_age_class
Title: Age-specific morbidity ERF
Definition: Choice(Self,1)
Nodelocation: 200,64,1
Nodesize: 52,29
Domain: ['Yes','No']

Close Technical_nodes2

Module Technical_nodes3
Title: Duration of morbidity
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 864,528,1
Nodesize: 48,24
Diagstate: 1,143,103,359,300,17
Nodecolor: 19661,48336,65535

Variable Duration
Title: Duration of morbidity
Units: Years
Definition: if Duration_age_class = 'No' then Duration_gen else Duration_as
Nodelocation: 224,144,1
Nodesize: 48,24
Reformval: [Sex,Morb_endpoint]

Variable Duration_as
Title: Age-specific duration of morbidity
Units: Years
Description: Duration of the disease in years.~
~
Current data: ~
Finland 2006~
In-patient average length of stay in hospital due to the disease~
Source: Eurostat
Definition: Table(Age_cat,Sex,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 96,192,1
Nodesize: 48,24
Windstate: 2,93,99,476,224
Defnstate: 2,340,11,415,778,0,MIDM
Valuestate: 2,321,7,416,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age]

Variable Duration_gen
Title: General duration of morbidity
Units: Years
Definition: Table(Sex,Morb_endpoint)(~
8,1/365,1~
)
Nodelocation: 96,136,1
Nodesize: 48,24
Defnstate: 2,201,93,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Sex,Morb_endpoint]

Decision Duration_age_class
Title: Age-specific duration of morbidity
Definition: Choice(Self,1)
Nodelocation: 96,72,1
Nodesize: 48,29
Domain: ['No','Yes']

Close Technical_nodes3

Module Technical_nodes4
Title: Severity weight
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 864,584,1
Nodesize: 48,24
Diagstate: 2,1,0,330,303,17
Nodecolor: 19661,48336,65535

Variable Daly_weight
Title: Severity weight
Definition: If Severity_age_class = 'No' then DALY_weight_gen else DALY_weight_as
Nodelocation: 208,112,1
Nodesize: 48,24
Att__totalsindex: Index Morb_endpoint

Variable Daly_weight_as
Title: Age-specific severity weight
Description: Daly weights for morbidity~
~
Current data:~
Arbitrary weights
Definition: Table(Age_cat,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 88,168,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,593,9,441,865,0,MIDM
Valuestate: 2,262,-6,373,902,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age]
Reference: WHO

Variable Daly_weight_gen
Title: General severity weight
Definition: Table(Morb_endpoint)(~
0.15,0.09900000000000001,0.059)
Nodelocation: 88,112,1
Nodesize: 48,24
Defnstate: 2,312,115,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Decision Severity_age_class
Title: Age-specific severity weight
Definition: Choice(Self,2)
Nodelocation: 88,48,1
Nodesize: 48,29
Domain: ['Yes','No']

Close Technical_nodes4

Module Exposure3
Title: Exposure
Author: vkoe
Date: 5. Novta 2009 13:17
Defaultsize: 48,24
Nodelocation: 464,72,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Diagstate: 1,13,69,529,322,17
Nodecolor: 19661,48336,65535

Variable Exposures
Title: Exposures
Description: ~

Definition: if Assessment_type = 'Total burden of disease' then~
~
if Exp_age_class = 'Yes' then Exp_age else Exp_gen~
~
else~
~
if Exp_year_class = 'No' and Exp_age_class = 'No' then Exp_gen else (if Exp_year_class = 'Yes' and Exp_age_class = 'No' then Exp_year else (if Exp_year_class = 'No' and Exp_age_class = 'Yes' then Exp_age else Exp_year_age))
Nodelocation: 288,120,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,593,53,490,653
Defnstate: 2,280,2,416,303,0,MIDM
Valuestate: 2,180,214,525,378,0,MIDM
Nodecolor: 19661,48336,65535
Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,1}~
{!40000|Att_graphvaluerange Exposures:1,,1,,,,,0,1}~
{!40000|Att_contlinestyle Run:0}
Reformdef: [Exposure,Fu_period]
Reformval: [Exposure,Pollutant]
{!40000|Att_resultslicestate: [Exposure,1,Age_cat,1,Fu_period,1]}
Reference: Cafe raport

Index Exposure
Title: Exposure
Description: Jouni 14.6.2009: I changed the name from Scen to Exposure because this is not just a list of scenarios, it is specifically the list of counterfactual exposure scenarios.~
~
Row 'Impacted' is changed to 'Alternative scenario' because a) also people in BAU are impacted and b) we don't know a priori whether the alternative scenario is a higher or lower exposure.~
______________________~
~
Exposure scenarios.
Definition: ['BAU','Alternative','Reference']
Nodelocation: 288,152,1
Nodesize: 48,12
Nodeinfo: 1,1,1,1,1,1,0,0,0,0
Windstate: 2,614,154,476,224
{!40000|Att_previndexvalue: ['BAU','Alternative','Reference']}

Decision Exp_age_class
Title: Age-specific exposure
Definition: Choice(Self,2)
Nodelocation: 240,40,1
Nodesize: 48,24
Domain: ['Yes','No']

Decision Exp_year_class
Title: Year-specific exposure
Definition: Choice(Self,1)
Nodelocation: 352,40,1
Nodesize: 48,24
Domain: ['Yes','No']

Chance Exp_year
Title: Year-specific exposure
Definition: Table(Pollutant,Fu_period,Exposure)(~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
sum(Exposure_pm, pm_source),0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
Exposure_radon,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0,~
1,0,0~
)
Nodelocation: 112,120,1
Nodesize: 48,24
Defnstate: 2,189,122,416,303,0,MIDM
Valuestate: 2,54,260,416,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Pollutant,Fu_period]
Reformval: [Exposure,Fu_period]
{!40000|Att_resultslicestate: [Sex,1,Pollutant,1,Fu_period,1,Exposure,1]}
{!40000|Att_editslicestate: [Exposure,1,Fu_period,1,Pollutant,1]}

Variable Exp_age
Title: Age-specific exposure
Definition: Table(Age_cat,Exposure)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 112,176,1
Nodesize: 48,24
Defnstate: 2,252,69,416,551,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Exposure,Age_cat]

Variable Exp_gen
Title: General exposure
Definition: Table(Exposure,Pollutant)(~
sum(Exposure_pm, pm_source),Exposure_radon,1,~
0,0,0,~
0,0,0~
)
Nodelocation: 112,64,1
Nodesize: 48,24
Windstate: 2,610,164,476,224
Defnstate: 2,557,158,600,303,0,MIDM
Valuestate: 2,611,216,416,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Pollutant,Exposure]
Reformval: [Pollutant,Fu_period]
{!40000|Att_resultslicestate: [Pollutant,1,Fu_period,1,Exposure,1,Sex,1]}

Variable Exp_year_age
Title: Year and age-specific exposure
Definition: Table(Fu_period,Age_cat,Exposure)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 112,232,1
Nodesize: 48,24
Defnstate: 2,316,54,480,445,0,MIDM
Nodecolor: 65535,52427,57888
Reformdef: [Fu_period,Age_cat]
Reformval: [Fu_period,Age_cat]
{!40000|Att_editslicestate: [Exposure,3,Age_cat,1,Fu_period,2]}

Index Pollutant
Title: Pollutant
Definition: ['PM','Radon','Mold']
Nodelocation: 288,176,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['PM','Radon','Mold']}

Close Exposure3

Objective Ad_le_loss
Title: Loss of age-adjusted life expectancy
Units: Years
Definition: var a:=Ad_le;~
a[Exposure='Reference']-a
Nodelocation: 312,456,1
Nodesize: 48,24
Valuestate: 2,361,66,416,460,0,MIDM
Reformval: [Exposure,Age_cat]
{!40000|Att_resultslicestate: [Age1,1,Sex,1,Sys_localindex('PROBABILITY'),1,Exposure,1]}

Objective Le_loss
Title: Loss of life expectancy in birth cohort
Units: Years
Definition: var a:=Le_cohort;~
a[Exposure='Reference']-a
Nodelocation: 416,456,1
Nodesize: 48,24
Windstate: 2,109,95,476,224
Valuestate: 2,283,72,480,401,0,STAT
Reformval: [Exposure,Exposure,Undefined,2]

Module Nodes1
Title: Mortality scenarios
Author: vkoe
Date: 22. Janta 2009 14:46
Defaultsize: 48,24
Nodelocation: 72,288,1
Nodesize: 48,24
Diagstate: 1,183,308,354,411,17
Nodecolor: 19661,48336,65535

Variable Change_mort_gen
Title: General change in risk
Definition: Table(Age_cat,Mort_endpoint)(~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0~
)
Nodelocation: 88,248,1
Nodesize: 48,24
Windstate: 2,112,97,476,224
Defnstate: 2,280,212,539,400,0,MIDM
Valuestate: 2,173,215,416,483,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age_cat]
Reformval: [Mort_endpoint,Age_cat]

Variable Perc_mort
Title: Fraction of baseline mortality due to risk factor
Definition: Table(Age_cat,Mort_endpoint)(~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0~
)
Nodelocation: 88,56,1
Nodesize: 48,32
Defnstate: 2,168,178,653,412,0,MIDM
Valuestate: 2,346,207,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age_cat]
Reformval: [Mort_endpoint,Age_cat]
Domain: ['item 1']

Variable Alt_mortality
Title: Alternative mortality
Definition: var a:= if Ys_change_mort = 'Yes' then Change_mort_ys else Change_mort_gen;~
~
if Change_type_mort = 'Percentage' then~
~
Base_mortality+(Base_mortality*Perc_mort*(a/100))~
~
else base_mortality+a
Nodelocation: 216,192,1
Nodesize: 48,24
Windstate: 2,102,90,476,496
Valuestate: 2,261,267,651,540,0,MIDM
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Mort_endpoint,2,Age_cat,1,Fu_period,1]}

Decision Change_type_mort
Title: Type of change
Definition: Choice(Self,1)
Nodelocation: 88,128,1
Nodesize: 48,24
Domain: ['Percentage','No. of cases']

Variable Change_mort_ys
Title: Year-specific change in risk
Definition: Table(Fu_period,Age_cat,Mort_endpoint)(~
0,0,0,0,~
0,0,0,0,~
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0,0,0,0,~
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0,0,0,0,~
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0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0,~
0,0,0,0~
)
Nodelocation: 88,312,1
Nodesize: 48,28
Defnstate: 2,320,311,650,461,0,MIDM
Valuestate: 2,264,274,508,469,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Fu_period,Age_cat]
Reformval: [Fu_period,Age_cat]
{!40000|Att_resultslicestate: [Mort_endpoint,2,Age_cat,1,Fu_period,1]}
{!40000|Att_editslicestate: [Mort_endpoint,2,Age_cat,1,Fu_period,1]}

Decision Ys_change_mort
Title: Year-specific change in risk
Definition: Choice(Self,2)
Nodelocation: 88,184,1
Nodesize: 48,24
Domain: ['Yes','No']

Close Nodes1

Module Technical_nodes
Title: Attributable morbidity scenarios
Author: vkoe
Date: 12. Mayta 2009 15:35
Defaultsize: 48,24
Nodelocation: 864,288,1
Nodesize: 48,24
Diagstate: 1,245,223,375,444,17
Nodecolor: 19661,48336,65535

Variable Change_morb_gen
Title: General change in risk
Definition: Table(Age_cat,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 104,280,1
Nodesize: 48,24
Defnstate: 2,311,160,416,429,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age_cat]

Decision Change_type_morb
Title: Type of change
Definition: Choice(Self,1)
Nodelocation: 104,216,1
Nodesize: 48,24
Domain: ['Percentage','No. of cases']

Variable Alt_morbidity
Title: Alternative morbidity
Definition: var a:= if Ys_change_morb = 'Yes' then Change_morb_ys else Change_morb_gen;~
~
if Change_type_morb = 'Percentage' then~
~
Base_morbidity+Base_morbidity*Perc_morb*(a/100)~
~
else base_morbidity+a
Nodelocation: 232,216,1
Nodesize: 48,24
Windstate: 2,192,153,476,224
Reformval: [Morb_endpoint,Age_cat]

Variable Perc_morb
Title: Fraction of of baseline morbidity caused by risk factor
Definition: Table(Age_cat,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 104,80,1
Nodesize: 48,44
Defnstate: 2,329,184,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age_cat]

Decision Ys_change_morb
Title: Year-specific change in risk
Definition: Choice(Self,2)
Nodelocation: 104,160,1
Nodesize: 48,24
Domain: ['Yes','No']

Variable Change_morb_ys
Title: Year-specific change in risk
Definition: Table(Fu_period,Age_cat,Morb_endpoint)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
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0,0,0,~
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0,0,0,~
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0,0,0,~
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0,0,0,~
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0,0,0,~
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0,0,0,~
0,0,0,~
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0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
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0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
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0,0,0,~
0,0,0,~
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0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 104,344,1
Nodesize: 48,28
Defnstate: 2,104,114,820,405,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Fu_period,Age_cat]

Close Technical_nodes

Text Te7
Nodelocation: 200,176,-1
Nodesize: 192,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te9
Nodelocation: 464,176,-1
Nodesize: 64,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te4
Nodelocation: 732,176,-1
Nodesize: 196,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te5
Nodelocation: 124,548,-1
Nodesize: 116,84
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te6
Nodelocation: 124,396,-1
Nodesize: 116,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te8
Nodelocation: 812,548,-1
Nodesize: 116,84
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te15
Nodelocation: 812,396,-1
Nodesize: 116,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te125
Nodelocation: 468,480,-1
Nodesize: 220,152
Nodeinfo: 1,0,0,1,0,1,0,,0,

Module Population_in_time1
Title: Population in time
Author: vkoe
Date: 9. Febta 2010 10:56
Defaultsize: 48,24
Nodelocation: 464,288,1
Nodesize: 48,24
Diagstate: 2,102,163,424,325,17
Nodecolor: 19661,48336,65535

Index Age_child
{!40000|Att_previndexvalue: [0,1,2,3,4]}
Title: Age child
Definition: 0..4
Nodelocation: 72,80,1
Nodesize: 48,12

Variable Pop_in_time_child
Title: Population in time child
Description: a:= sum(if floor(age1/5)+1 = @age_cat then a else 0 , age1);
Definition: var k: Birth_rate[Fu_year=Year_lt];~
k:= if k = null then k[@Year_lt=Followup_time] else k;~
var a:= if @Year_lt = 1 then population else (if @Age=1 then k else 0);~
a:= a[Age=age_child];~
~
var j:= sum(Mort_rate_scenarios,Mort_endpoint)[Age=age_child];~
j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~
~
j:= if Exp_year_class = 'Yes' then ~
(j:=j[Fu_period=period_lt];~
j:= if j = null then j[Period_lt=max(Fu_period)] else j;~
j:= Si_pi2(j, 5, Period_lt, Year_lt, Year_help)*5)~
else j;~
~
j:= if j < 0 then 0 else j;~
j:= if j > 2 then 2 else j;~
~
j:= (2-j)/(2+j);~
~
var x:= 1;~
while x<= min([size(age_child),size(Year_lt)]) do (~
var b:= a*j;~
b:= b[@age_child=@age_child-1, @Year_lt=@Year_lt-1];~
a:= if b=null then a else b;~
x:= x+1);~
~
sum(if Year_lt = period_vs_year then a else 0,Year_lt)~

Nodelocation: 72,48,1
Nodesize: 48,24
Windstate: 2,188,97,553,652
Valuestate: 2,334,433,850,499,0,MIDM
Reformval: [Period_lt,Age_child]
Att__totalsindex: Index Age, Index Age_child
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Period_lt,3,Age_child,3,Year_lt,37]}

Variable Pop_in_time_beg
Title: Population in time, beginning of time step
Description: Population projection for 100 years in different exposure scenarios. Population is modeled for the start year of each 5-year time step.
Definition: var a:= sum(if floor(Age/5)+1 = @age_cat then population else 0 , Age);~
a:= if @age_cat=1 then sum(pop_in_time_child, age_child) else (if @period_lt = 1 then a else  0);~
~
var j:= sum(Mort_rate_scenarios,Mort_endpoint);~
j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~
j:= if Exp_year_class = 'Yes' then~
(j:=j[Fu_period=period_lt];~
j:= if j = null then j[Period_lt=max(Fu_period)] else j)~
else j;~
~
j:= if j < 0 then 0 else j;~
j:= if j > 2 then 2 else j;~
~
j:= (2-j)/(2+j);~
~
j:= sum(if floor(Age/5)+1 = @age_cat then j else 0 , Age)/5;~
var m:=j[@age_cat=@age_cat+1];~
m:= if m=null then 0 else m;~
var n:=((j^5)+(j^4*m)+(j^3*m^2)+(j^2*m^3)+(j*m^4))/5;~
~
var x:= 1;~
while x<= min([size(age_cat),size(period_lt)]) do (~
var b:= a*n;~
b:= b[@age_cat=@age_cat-1, @period_lt=@period_lt-1];~
a:= if b=null then a else b;~
x:= x+1);~
a~

Nodelocation: 184,48,1
Nodesize: 48,32
Windstate: 2,32,358,573,736
Valuestate: 2,212,55,876,718,0,MIDM
Reformval: [Period_lt,Age_cat]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,1,Period_lt,1]}

Variable Pop_in_time_ave
Title: Population in time, average for time step
Description: Average annual population number for each 5-year time step during the follow-up period.~

Definition: var a:=Pop_in_time_beg[Period_lt=Fu_period];~
var b:=(Pop_in_time_beg[@Period_lt=@Period_lt+1])[Period_lt=Fu_period];~
b:= if b = null then a[Fu_period=max(Fu_period)] else b;~
b:=(a+b)/2;~
if followup_time <2 then a else b
Nodelocation: 296,48,1
Nodesize: 48,32
Windstate: 2,311,339,537,592
Valuestate: 2,593,409,530,495,0,MIDM
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age_cat

Variable Life_years
Title: Life years in time
Units: years
Description: Calculates the number of life years lived by a given 5-year age group in a given 5-year time step 100 years onwards from the beginning of the assessment.
Definition: var a:= Pop_in_time_beg;~
~
var b:=sum(Mort_rate_scenarios,Mort_endpoint);~
b:= if Mort_effect = 'Acute' then b[Exposure='BAU'] else b; ~
b:= if Exp_year_class = 'Yes' then~
(b:=b[Fu_period=period_lt];~
b:= if b = null then b[Period_lt=max(Fu_period)] else b)~
else b;~
~
b:= if b < 0 then 0 else b;~
b:= if b>1 then 1 else b;~
~
b:= ((2-b)/(2+b));~
~
b:= sum(if floor(Age/5)+1 = @age_cat then b else 0 , Age)/5;~
var c:=b[@age_cat=@age_cat+1];~
c:= if c=null then c[age_cat='90-94'] else c;~
var d:=((b^5)+(b^4*c)+(b^3*c^2)+(b^2*c^3)+(b*c^4))/5;~
~
var e:= a-(a*d);~
((a*d*5)+e*2.5)*Age_weight*Npv_life_year~

Nodelocation: 184,120,1
Nodesize: 48,24
Windstate: 2,168,123,476,635
Valuestate: 2,169,88,754,582,0,MIDM
Reformval: [Period_lt,Age_cat]
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,1,Period_lt,1]}

Close Population_in_time1

Index Fu_year
Title: Follow-up year
Definition: sequence(Start_year,Start_year+(Followup_time-1),1)
Nodelocation: 72,536,1
Nodesize: 48,16
Valuestate: 2,447,277,436,438,0,MIDM
{!40000|Att_previndexvalue: [2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039]}

Objective Ab_mortality_tot
Title: Mortality, total
Units: deaths/follow-up period
Definition: sum(Ab_mortality_spec,age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 520,464,1
Nodesize: 48,12
Valuestate: 2,179,33,947,589,1,CDFP
Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,1m}
Reformval: [Exposure,Exposure,Undefined,2]
{!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Mort_endpoint,1]}

Objective Ab_morbidity_tot
Title: Morbidity, total
Units: cases/follow-up period
Definition: sum(sum(Ab_morbidity_spec,age_cat),Fu_period)[Time_unit='5-year period']
Nodelocation: 624,464,1
Nodesize: 48,12
Valuestate: 2,125,109,416,303,0,MIDM
Reformval: [Morb_endpoint,Pop_unit]
{!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Morb_endpoint,1]}

Objective Yll_tot
Title: YLL, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Yll_spec,Age)~
~
else~
~
sum(Yll_spec,age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 312,608,1
Nodesize: 48,12
Windstate: 2,102,90,476,317
Valuestate: 2,148,103,536,303,0,MIDM
Reformval: [Pop_unit,Exposure]
{!40000|Att_resultslicestate: [Sex,1,Pollutant,2,Exposure,3,Pop_unit,1]}

Objective Daly_tot
Title: DALY, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Daly_spec,Age)~
~
else~
~
sum(Daly_spec,Age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 464,616,1
Nodesize: 48,12
Windstate: 2,102,90,476,406
Valuestate: 2,220,118,408,245,0,MIDM
Reformval: [Pop_unit,Exposure]
{!40000|Att_resultslicestate: [Exposure,1,Sex,1,Pop_unit,1]}

Objective Yld_tot
Title: YLD, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Yld_spec, Age)~
~
else~
~
sum(Yld_spec,age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 624,608,1
Nodesize: 48,12
Windstate: 2,102,90,476,400
Valuestate: 2,214,84,408,243,0,MIDM
Reformval: [Pop_unit,Exposure]
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Exposure,1,Pop_unit,1]}

Decision Age_weighting
Title: Age weighting
Definition: Choice(Self,2)
Nodelocation: 864,368,1
Nodesize: 48,24
Domain: ['Yes','No']

Close Model2

Index Fu_period
Title: Follow-up period
Definition: sequence(Start_year,Start_year+(Followup_time-1),5)
Nodelocation: 440,696,1
Nodesize: 52,16
Valuestate: 2,331,271,416,303,0,MIDM
Reformval: [Undefined,Self]
{!40000|Att_previndexvalue: [2005,2010,2015,2020,2025,2030,2035]}

Module Erf_pm2_5
Title: ERF PM2.5 and natural mortality
Author: ktluser
Date: 6. Mayta 2008 9:06
Defaultsize: 48,24
Nodelocation: 312,496,1
Nodesize: 48,28
Diagstate: 2,93,134,1067,576,17
Nodecolor: 52427,63897,65535

Variable Ambient_pdm
Title: ambient.PDM
Description: PDM = performance-based decision maker~
~
Numbers from table 4, page 742.~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744
Definition: Table(Percentile1)(~
0.029,0.14,0.62,1.1,3.9)
Nodelocation: 208,64,1
Nodesize: 48,24
Windstate: 2,180,151,517,324
Defnstate: 2,330,631,416,303,0,MIDM
Valuestate: 2,26,8,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Index Percentile1
Title: Percentile
Definition: [0.05,0.25,0.5,0.75,0.95]
Nodelocation: 208,96,1
Nodesize: 48,13
{!40000|Att_previndexvalue: [0.05,0.25,0.5,0.75,0.95]}

Variable Ambient_edm
Title: ambient.EDM
Description: EDM = equal-weight decision maker~
~
Numbers from table 4, page 742.~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744
Definition: Table(Percentile1)(~
0.034,0.41,0.98,1.6,4.6)
Nodelocation: 368,64,1
Nodesize: 48,24
Windstate: 2,98,90,476,395
Defnstate: 2,428,392,416,303,0,MIDM
Valuestate: 2,264,274,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Chance Edm_cumdist
Title: EDM-cumdist
Definition: var a:=cumdist(Percentile1,Ambient_edm, , false );~
a
Nodelocation: 368,160,1
Nodesize: 48,24
Valuestate: 2,43,20,416,579,0,MIDM
Displayoutputs: Variable Clipboard_input_vari,

Chance Pdm_cumdist
Title: PDM-cumdist
Definition: var a:=cumdist(Percentile1,Ambient_pdm, , false );~
a
Nodelocation: 208,160,1
Nodesize: 48,24
Valuestate: 2,44,17,274,456,0,MIDM
Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ]
Displayoutputs: Variable Clipboard_input_vari,

Variable Combined_c_r_functio
Title: Combined c-r function
Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist else Edm_cumdist;~
a
Nodelocation: 288,232,1
Nodesize: 48,24
Valuestate: 2,300,63,237,252,0,STAT

Chance Pdm_vs__edm
Title: PDM vs. EDM
Definition: Bernoulli(.5)
Nodelocation: 448,232,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Valuestate: 2,328,338,416,303,0,CONF
Displayoutputs: Variable Clipboard_input_vari,

Variable Cr_plausibility
Title: cr.plausibility
Definition: mid(Combined_c_r_functio)
Nodelocation: 288,304,1
Nodesize: 48,24
Valuestate: 2,84,60,512,597,0,MIDM

Variable Hitox_pdm
Title: hitox.PDM
Description: PDM = performance-based decision maker~
~
Numbers from table 4, page 742.~
~
The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~
~
ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18)
Definition: Table(Percentile1)(~
0.062,0.6800000000000001,1.1,2.4,8)
Nodelocation: 528,64,1
Nodesize: 48,24
Windstate: 2,83,85,476,414
Defnstate: 2,25,20,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Variable Hitox_edm
Title: hitox.EDM
Description: EDM = equal-weight decision maker~
~
Numbers from table 4, page 742.~
~
The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~
~
ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18)
Definition: Table(Percentile1)(~
0.08699999999999999,0.87,1.9,3.7,10)
Nodelocation: 688,64,1
Nodesize: 48,24
Defnstate: 2,10,15,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Variable Lotox_edm
Title: lotox.EDM
Description: EDM = equal-weight decision maker~
~
Numbers from table 4, page 742.~
~
The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~
~
ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18)
Definition: Table(Percentile1)(~
0,0,0.11,0.43,2)
Nodelocation: 960,64,1
Nodesize: 48,24
Defnstate: 2,11,18,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Variable Lotox_pdm
Title: lotox.PDM
Description: PDM = performance-based decision maker~
~
Numbers from table 4, page 742.~
~
The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~
~
Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~
Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~
~
ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18)
Definition: Table(Percentile1)(~
0,0.018,0.25,0.36,1)
Nodelocation: 800,64,1
Nodesize: 48,24
Defnstate: 2,20,19,416,303,0,MIDM
Nodecolor: 65535,52427,57888

Variable Combined_c_r_functi3
Title: Combined c-r function.high
Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist_high else Edm_cumdist_high;~
a
Nodelocation: 608,232,1
Nodesize: 56,24
Valuestate: 2,75,105,237,252,0,CONF

Variable Cr_plausibility_high
Title: cr.plausibility.high
Definition: Combined_c_r_functi3
Nodelocation: 608,304,1
Nodesize: 48,24
Valuestate: 2,500,64,416,303,0,CONF

Chance Edm_cumdist_high
Title: EDM-cumdist.high
Definition: var a:=cumdist(Percentile1,Hitox_edm, , false );~
a
Nodelocation: 688,160,1
Nodesize: 48,24
Valuestate: 2,549,74,416,303,0,CONF
Displayoutputs: Variable Clipboard_input_vari,

Chance Pdm_cumdist_high
Title: PDM-cumdist.high
Definition: var a:=cumdist(Percentile1,Hitox_pdm, , false );~
a
Nodelocation: 528,160,1
Nodesize: 48,24
Valuestate: 2,951,63,274,408,0,CONF
Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ]
Displayoutputs: Variable Clipboard_input_vari,

Variable Combined_c_r_functi1
Title: Combined c-r function.low
Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist_low else Edm_cumdist_low;~
a
Nodelocation: 880,232,1
Nodesize: 56,24
Valuestate: 2,300,63,237,252,0,CONF

Variable Cr_plausibility_low
Title: cr.plausibility.low
Definition: Combined_c_r_functi1
Nodelocation: 880,304,1
Nodesize: 48,24
Valuestate: 2,744,304,416,303,0,CONF

Chance Edm_cumdist_low
Title: EDM-cumdist.low
Definition: var a:=cumdist(Percentile1,Lotox_edm, , false );~
a
Nodelocation: 960,160,1
Nodesize: 48,24
Valuestate: 2,870,239,416,303,0,CONF
Displayoutputs: Variable Clipboard_input_vari,

Chance Pdm_cumdist_low
Title: PDM-cumdist.low
Definition: var a:=cumdist(Percentile1,Lotox_pdm, , false );~
a
Nodelocation: 800,160,1
Nodesize: 48,24
Valuestate: 2,951,63,274,408,0,CONF
Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ]
Displayoutputs: Variable Clipboard_input_vari,

Index Cr_choice
{!40000|Att_previndexvalue: ['Equal toxicity','Differential toxicity']}
Title: cr.choice
Definition: ['Equal toxicity','Differential toxicity']
Nodelocation: 608,440,1
Nodesize: 48,12

Variable Cr_function
Title: cr.function
Definition: Table(Cr_choice)(~
Cr_plausibility,Cr_plausibility_high)
Nodelocation: 608,408,1
Nodesize: 48,24
Defnstate: 2,22,33,685,446,0,MIDM
Valuestate: 2,1001,81,802,450,0,MIDM
Reformdef: [Cr_choice]
Reformval: [Cr_choice,Undefined,1]
{!40000|Att_resultslicestate: [Cr_choice,2,Emission_source_sub_,6,Sys_localindex('STATISTICS'),1]}

Constant Higher_toxicity_was_
Title: Higher toxicity was applied for traffic emissions and lower for agricultural dust emissions
Definition: Cr_function
Nodelocation: 792,408,1
Nodesize: 72,58

Chance Ambient_pdm_low_unc
Title: ambient.PDM.low.unc
Definition: Triangular( 0.14, 0.62, 1.1 )
Nodelocation: 64,64,1
Nodesize: 48,24
Valuestate: 2,284,165,509,294,1,MIDM

Chance Ambient_edm_low_unc
Title: ambient.EDM.low.unc
Definition: Triangular( 0.41, 0.98, 1.6 )
Nodelocation: 64,112,1
Nodesize: 48,24
Valuestate: 2,284,165,509,294,1,MIDM

Close Erf_pm2_5

Module Building_heat_consum
Title: Building heat consumption
Author: vkoe
Date: 1. Febta 2011 9:55
Defaultsize: 48,24
Nodelocation: 312,136,1
Nodesize: 52,24
Diagstate: 2,90,27,1048,695,17
Nodecolor: 52427,63897,65535

Variable Q_heat_purchase
Title: Heat purchase
Units: kWh/m2/a
Description: Heat purchased for a building
Definition: var a:=sum(Q_space_heating+Q_water_heating,month);~
~
a:= a/Hs_efficiency;
Nodelocation: 392,528,1
Nodesize: 48,24
Windstate: 2,98,90,476,224
Valuestate: 2,369,248,516,303,0,MIDM
Nodecolor: 65535,19661,50247
Reformval: [Building_type,Heat_system]
{!40000|Att_resultslicestate: [Energy_class,1,Const_year,3,Heat_system,1,Building_type,1]}

Variable Hs_efficiency
Title: Heat system efficiency
Units: -
Description: Efficiency of the heat production device
Definition: Table(Heat_system)(~
1,0.87,0.75,1,2.5,1)
Nodelocation: 280,528,1
Nodesize: 48,24
Defnstate: 2,403,446,416,303,0,MIDM

Variable Q_space_heating
Title: SH heat consumption
Units: kWh/m2/month
Description: Tästä pitää vielä vähentää poistoilmalämpöpumpun varaajan siirtämä ja tilojen lämmityksessä hyödynnetty energia (Q_lp_tilat)
Definition: (Q_conduction+Q_air_leak+Q_air_exchange-Q_internal_heat+Q_sh_system)/(Ground_floor_area*No_of_floors)
Nodelocation: 392,400,1
Nodesize: 48,24
Valuestate: 2,700,43,527,492,0,MIDM
Nodecolor: 65535,19661,50247
Reformval: [Building_type,Month]
Att__totalsindex: Index Month
{!40000|Att_resultslicestate: [Heat_system,2,Energy_class,1,Const_year,1,Month,1,Building_type,1]}

Variable Q_water_heating
Title: WH heat consumption
Units: kWh/m2/month
Description: a: lämpimän veden kulutus vuodessa per rakennus~
b: veden lämmitykseen kuluva netto energia~
~
Tästä pitää vielä vähentää poistoilmalämpöpumpun varaajan siirtämä ja veden lämmityksessä hyödynnetty energia
Definition: var a:= Hot_water_use*Ground_floor_area*No_of_floors/1000;~
var b:=1000*4.2*a*50/3600;~
~
b/12/(Ground_floor_area*No_of_floors)+Q_wh_system
Nodelocation: 392,464,1
Nodesize: 48,24
Windstate: 2,463,51,476,265
Valuestate: 2,442,193,494,248,0,MIDM
Nodecolor: 65535,19661,50247

Variable Q_conduction
Title: Conduction heat loss
Units: kWh/month
Description: Rakenteiden läpi johtuva lämpöenergia~
~
a: Rakennusosien yhteenlaskettu ominaislämpöhäviö (H_joht, W/K)
Definition: var a:=(A_outside_wall*U_outside_wall)+(A_roof*U_roof)+(Ground_floor_area*U_floor)+(A_window*U_window)+(A_outer_door*U_outer_door);~
~
a:=a*(Ts-Tu)*Time_period/1000;~
a
Nodelocation: 288,288,1
Nodesize: 48,24
Windstate: 2,71,69,510,307
Valuestate: 2,422,203,609,418,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Building_type,Month]
Att__totalsindex: Index Month
{!40000|Att_resultslicestate: [Energy_class,3,Const_year,3,Month,1,Building_type,1]}

Variable Q_air_leak
Title: Air leak heat loss
Units: kWh/month
Description: a: air leak, vuotoilmavirta (m3/s), lasketaan:~
~
rakennuksen uotoilmakerroin (1/h) * rakennuksen ilmatilavuus (m3) / 3600 (laatumuunnos m3/h > m3/s)~
~
b: air leak unit heat loss (W/K), lasketaan:~
~
(ilman tiheys (kg/m3) * ilman ominaislämpökapasiteetti (Ws/(kgK) * vuotoilmavirta (m3/s)
Definition: var a:= Air_leak_factor*Ground_floor_area*Building_height/3600; ~
var b:= 1.2*1000*a;~
~
b:=b*(Ts-Tu)*Time_period/1000;~
b
Nodelocation: 496,288,1
Nodesize: 48,24
Windstate: 2,133,0,476,355
Valuestate: 2,375,190,529,381,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Building_type,Month]
{!40000|Att_resultslicestate: [Energy_class,2,Const_year,6,Month,1,Building_type,1]}

Variable Q_air_exchange
Title: Air exchange heat loss
Units: kWh/month
Description: ~
~
a: rakennuksen poistoilmavirta (m3/s), lasketaan:~
~
ominaispoistoilmavirran mukaan, tai vaihtoehtoisesti poistoilmakertoimeen perustuen:~
~
poistoilmakerroin (1/h) * rakennuksen ilmatilavuus (m3) / 3600 (laatumuunnos m3/h > m3/s)~
~
Keskimääränen poistoilmavirta lasketaan ilmanvaihtolaitteiston tehon ja käyntiajan pohjalta.~
~
b: ilmanvaihdon ominaislämpöhäviö (W/K)
Definition: var a:=(air_exchange*Ground_floor_area*No_of_floors)/1000;~
~
var b:= 1.2*1000*a*(1-Eta_a);~
~
b:=b*(Ts-Tu)*Time_period/1000;~
~
b
Nodelocation: 392,288,1
Nodesize: 48,24
Windstate: 2,459,99,476,506
Valuestate: 2,262,393,511,303,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Building_type,Month]
Att__totalsindex: Index Month

Variable Ts
Title: Indoor air temp
Units: Celsius
Description: Indoor air temperature
Definition: 21
Nodelocation: 288,224,1
Nodesize: 48,24
Nodecolor: 1,65535,32766

Variable Tu
Title: Outdoor air temp
Units: Celsius
Description: Jyväskylä area 1979 (Rakentamismääräyskokoelman aineisto)
Definition: Table(Month)(~
-10.6,-12.2,-2.58,0.2,10.3,14.9,15,14.8,7.97,1.73,-0.59,-6.9)
Nodelocation: 288,168,1
Nodesize: 48,24
Defnstate: 2,824,127,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Time_period
Title: Time period
Units: h
Definition: Table(Month)(~
31*24,28*24,31*24,30*24,31*24,30*24,31*24,31*24,30*24,31*24,30*24,31*24)
Nodelocation: 288,48,1
Nodesize: 48,24

Variable A_outside_wall
Title: Outside wall area
Units: m2
Description: Assumptions: ~
~
Detached house width/lenght ratio = 1/1.5~
Row house width/lenght ratio = 1/6~
Appartment building width/lenght ratio = 1/3
Definition: Table(Building_type)(~
(sqrt(Ground_floor_area/1.5)*5*Building_height)-A_window-A_outer_door,sqrt(Ground_floor_area/6)*14*Building_height-A_window-A_outer_door,sqrt(Ground_floor_area/3)*8*Building_height-A_window-A_outer_door)
Nodelocation: 184,224,1
Nodesize: 48,24
Windstate: 2,1067,411,476,224
Defnstate: 2,375,713,416,303,0,MIDM
Valuestate: 2,264,38,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable U_outside_wall
Title: Outside wall heat cond
Units: W/(m2K)
Definition: Table(Energy_class,Const_year)(~
0.29,0.29,0.29,0.28,0.28,0.25,0.17,0.17,0.17,~
0.17,0.17,0.17,0.17,0.17,0.17,0.17,0.17,0.17,~
0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,~
0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12~
)
Nodelocation: 80,224,1
Nodesize: 48,24
Defnstate: 2,168,178,737,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]

Variable A_roof
Title: Roof area
Units: m2
Definition: Ground_floor_area
Nodelocation: 184,168,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable U_roof
Title: Roof heat cond
Units: W/(m2K)
Definition: Table(Energy_class,Const_year)(~
0.35,0.35,0.23,0.22,0.22,0.16,0.09,0.09,0.09,~
0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,~
0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,~
0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08~
)
Nodelocation: 80,168,1
Nodesize: 48,24
Defnstate: 2,136,146,906,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]

Variable U_floor
Title: Floor heat cond
Units: W/(m2K)
Definition: Table(Energy_class,Const_year)(~
0.4,0.4,0.4,0.36,0.36,0.25,0.16,0.16,0.16,~
0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,~
0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,~
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1~
)
Nodelocation: 80,288,1
Nodesize: 48,24
Defnstate: 2,200,210,947,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]

Variable A_window
Title: Window area
Units: m2
Description: Assumption: Window area is 15% from the floor area.
Definition: 0.15*Ground_floor_area*No_of_floors
Nodelocation: 184,104,1
Nodesize: 48,24
Defnstate: 2,558,475,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable U_window
Title: Window heat cond
Units: W/(m2K)
Definition: Table(Energy_class,Const_year)(~
1.5,1.5,1.5,1.4,1.4,1.4,1,1,1,~
1,1,1,1,1,1,1,1,1,~
0.9,0.9,0.9,0.9,0.9,0.9,0.9,0.9,0.9,~
0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8~
)
Nodelocation: 80,104,1
Nodesize: 48,24
Defnstate: 2,104,114,624,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]

Variable A_outer_door
Title: Outer door area
Units: m2
Description: Assumptions: ~
*average door: width 85 cm, height 2 m~
*Detached houses: 2 doors~
*Row houses: 2 doors per apartment, 4 apartments per house~
*Apartment building: 3 doors (double front door and single back door)~

Definition: Table(Building_type)(~
0.85*2*2,0.85*2*4,0.85*2*3)
Nodelocation: 184,48,1
Nodesize: 48,24
Defnstate: 2,465,133,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable U_outer_door
Title: Outer door heat cond
Units: W/(m2K)
Definition: Table(Energy_class,Const_year)(~
1.4,1.4,1.4,1.4,1.4,1.4,1,1,1,~
1,1,1,1,1,1,1,1,1,~
0.6,0.6,0.6,0.6,0.6,0.6,0.6,0.6,0.6,~
0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5~
)
Nodelocation: 80,48,1
Nodesize: 48,24
Defnstate: 2,72,82,592,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]

Variable Building_height
Title: Building height
Description: One floor height is 3 m. Apartment buildings have in average 4 floors
Definition: Table(Building_type)(~
2.5,2.5,2.5*4)
Nodelocation: 80,352,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Ground_floor_area
Title: Ground floor area
Units: m2
Description: Assumptions: Calculated based on building numbers and floor area from Finnish Statistics. Apartment buildings are assumed to have in average 4 floors. All detached and row houses are assumed to have one floor.
Definition: Table(Building_type)(~
135,400,400)
Nodelocation: 184,288,1
Nodesize: 48,24
Defnstate: 2,705,70,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Index Month
Title: Month
Definition: [1,2,3,4,5,6,7,8,9,10,11,12]
Nodelocation: 288,80,1
Nodesize: 48,12
{!40000|Att_previndexvalue: [1,2,3,4,5,6,7,8,9,10,11,12]}

Variable No_of_floors
Title: No. of floors
Definition: Table(Building_type)(~
1,1,4)
Nodelocation: 184,352,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Air_leak_factor
Title: Air leak factor
Units: 1/h
Description: vuotoilmavirta~
~
rakennuksen vuotoilmakerroin voidaan laskea ilmanvaihtoluvun n50 perusteella:~
~
vuotoilmakerroin (1/h) = n50 / 25
Definition: Table(Energy_class,Const_year)(~
0.24,0.24,0.24,0.16,0.16,0.16,0.08,0.08,0.08,~
0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,~
0.032,0.032,0.032,0.032,0.032,0.032,0.032,0.032,0.032,~
0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024~
)
Nodelocation: 496,224,1
Nodesize: 48,24
Windstate: 2,395,100,476,289
Defnstate: 2,248,258,549,303,0,MIDM
Valuestate: 2,308,322,520,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]
Reformval: [Energy_class,Const_year]

Variable Air_exchange
Title: Air exchange
Units: dm3/s/m2
Description: Ominaispoistoilmavirta~
~
tavallisesti asuinrakennuksissa 0.35-0.5 dm3/s/m2~
~
Rakennusmääräyskokoelman osan D2 suosituksen mukaan poistoilmakertoimen tulisi olla 0.5/h, jota vastaa arvo 0.35 m2/s~
~

Definition: 0.4
Nodelocation: 392,224,1
Nodesize: 48,24
Windstate: 2,418,95,476,350
Nodecolor: 65535,52427,61166

Variable Eta_a
Title: Heat recovery air exchange
Units: -
Description: Ilmanvaihdon poistoilman lämmöntalteenoton (LTO) vuosihyötysuhde.~
~
Jos lämmöntalteenottoa ei ole, eta_a = 0.~
~
Vuosihyötysuhde voidaan laskea kaavalla eta_a = 0.6 * eta_t~
jossa eta_t = ilmanvaihdon lämmöntalteenoton tuloilman lämpötilasuhde, kun tulo- ja poistoilmavirta ovat yhtä suuret.
Definition: Table(Energy_class,Const_year)(~
0,0,0,0,0,0.3,0.45,0.45,0.45,~
0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,~
0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,~
0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75~
)
Nodelocation: 392,168,1
Nodesize: 48,24
Windstate: 2,98,90,476,271
Defnstate: 2,218,142,625,303,0,MIDM
Valuestate: 2,358,124,636,303,0,MIDM
Nodecolor: 1,65535,32766
Reformdef: [Energy_class,Const_year]
Reformval: [Energy_class,Const_year]

Variable Sh_unit_rel_wr
Title: Space heat unit release wr
Units: kWh/brm2/kk
Description: vesiradiaattorien kuukausittaiset lämmitysjärjestelmähaviöt lämmityskaudella~
~
a: kehityshäviöt~
b: jakeluhäviöt~
c: luovutushäviöt~
d: säätöhaviöt~
e: varaajahäviöt
Definition: var a:= 2*Ground_floor_area*No_of_floors;~
var k:= 2000/(Ground_floor_area*No_of_floors);~
a:= if a<2000 then k else 2;~
var b:=10;~
var c:= 4;~
var d:=2;~
var e:= 10;~
(a+b+c+d+e)/sum(heating_season,month)
Nodelocation: 600,224,1
Nodesize: 48,24
Windstate: 2,490,157,476,384
Nodecolor: 65535,52427,61166

Variable Sh_unit_rel_er
Title: Space heat unit release er
Units: kWh/brm2/month
Description: Sähkölämmityspattereiden ominaislämpöhäviö~
~
a: kehityshäviöt~
b: jakeluhäviöt~
c: luovutushäviöt~
d: säätöhäviöt~
e: varaajahäviöt
Definition: var a:= 0;~
var b:= 0;~
var c:= 4;~
var d:= 4;~
var e:= 0;~
~
(a+b+c+d+e)/sum(heating_season,month)
Nodelocation: 600,168,1
Nodesize: 48,24
Windstate: 2,386,119,570,373
Nodecolor: 65535,52427,61166

Variable Heating_season
Title: Heating season
Description: Lämmityskausi alkaa kun T ~ 12-15 C
Definition: Table(Month)(~
1,1,1,1,1,0,0,0,1,1,1,1)
Nodelocation: 600,112,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Q_sh_system
Title: SH system heat loss
Units: kWh/month
Description: Lämmitysjärjestelmän lämpöhaviöenergia. Kehityshäviöt, jakeluhäviöt, luovutushäviöt, säätöhaviöt, varaajahäviöt. Häviöita ainoastaan lämmityskaudella.
Definition: var a:= if heat_system = 'Electricity' then Sh_unit_rel_er else Sh_unit_rel_wr;~
~
a:=a*Ground_floor_area*No_of_floors*heating_season;~
~
a
Nodelocation: 600,288,1
Nodesize: 48,24
Windstate: 2,444,60,479,297
Valuestate: 2,418,141,603,379,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Building_type,Month]
{!40000|Att_resultslicestate: [Heat_system,6,Month,1,Building_type,1]}

Variable Q_wh_system
Title: WH system heat loss
Units: kWh/m2/month
Description: Käyttäveden lämmitysjärjestelmän lämpöhaviöenergia~
~
muodostuu kehitys-, kierto- ja varaajahäviöistä. Kehityshäviöt, sisältyvät yleensä tilojen lämmityksen kehityshäviöihin, joten ei tarvitse sisällyttää tähän.~
~
kiertohäviöt: ominaishäviön oletusarvona 15 kWh/brm2/a~
varaajahäviöt ominaishäviön oletusarvona 3/kWh/brm2/a (aliarvioi pienetn varaajien ja yliarvioi suurten varaajien häviöitä, vaihteluväli n. 1-5 kWh/brm2/a)
Definition: var a:=(15+3)*Ground_floor_area*No_of_floors;~
a/12/(Ground_floor_area*No_of_floors)
Nodelocation: 184,464,1
Nodesize: 48,24
Windstate: 2,380,87,476,333
Valuestate: 2,783,74,416,303,0,MIDM

Variable Hot_water_use
Title: Hot water use
Units: m3
Description: Oletusarvo: lämpimän veden ominaiskulutus asuinrakennuksessa = 600 dm3/brm2/a
Definition: 400
Nodelocation: 80,464,1
Nodesize: 48,24
Nodecolor: 1,65535,32766

Module Internal_heat
Title: Internal heat
Author: vkoe
Date: 4. Febta 2011 9:49
Defaultsize: 48,24
Nodelocation: 600,400,1
Nodesize: 48,24
Nodeinfo: 1,0,1,1,1,1,0,,0,
Diagstate: 2,341,136,758,322,17

Variable Q_internal_heat
Title: Internal heat
Units: kWh/month
Definition: (Q_electricity_heat_r+Q_persons+Q_sh_release+Q_sun+Q_wh_release)*Eta_internal_heat
Nodelocation: 408,248,1
Nodesize: 48,24
Valuestate: 2,727,671,476,405,0,MIDM
Nodecolor: 65535,19661,50247
Reformval: [Building_type,Month]
Att__totalsindex: Index Month

Variable Q_persons
Title: Person heat release
Units: kWh/month
Description: Voidaan myös laskea tarkemmin henkilöiden määrän ja oleskeluajan perusteella~
~
Q_persons = yhden henkilön keskimäärin luovuttama lämpöteho (70 W) * henkilöiden määrä * oleskeluaika (h) / 1000~
~
Jos rakennus on käytössä koko ajan, oleskeluaika = laskentajakson pituus tunneissa * 0.6
Definition: Q_pers_unit_rel*Ground_floor_area*No_of_floors/12
Nodelocation: 304,176,1
Nodesize: 48,24
Windstate: 2,98,90,476,291
Valuestate: 2,161,390,416,303,0,MIDM

Variable Q_sh_release
Title: SH heat release
Units: kWh/month
Definition: Q_sh_system*0.7~

Nodelocation: 512,176,1
Nodesize: 48,24
Windstate: 2,98,90,476,224
Valuestate: 2,571,404,416,303,0,MIDM
Reformval: [Building_type,Month]

Variable Q_wh_release
Title: WH heat release
Units: kWh/month
Definition: var a:= 600*Ground_floor_area*No_of_floors/1000;~
var b:=1000*4.2*a*50/3600;~
~
(b*0.3+Q_wh_system*0.5)/12
Nodelocation: 616,176,1
Nodesize: 48,24

Variable Q_electricity_heat_r
Title: Electricity heat release
Units: kWh/month
Definition: Electricity_heat_uni*Ground_floor_area*No_of_floors/12
Nodelocation: 408,176,1
Nodesize: 48,24

Variable Q_sun
Title: Sun heat absorption
Units: kWh/month
Definition: G_sun_horizontal*F_direction*F_permeability*A_window*g
Nodelocation: 200,176,1
Nodesize: 48,24
Valuestate: 2,487,235,416,303,0,MIDM
Reformval: [Building_type,Month]
Displayinputs: Variable G_sun_vertical

Variable Eta_internal_heat
Title: Internal heat use efficiency
Units: -
Description: How much of the internal heat can be exploited on a monthly basis~
~
a: rakennuksen sisäinen lämpökuorma (kWh)~
b: rakennuksen lämpöhäviö (kWh)~
c: rakennuksen ominaislämpöhäviö (W/K)~
d: rakennuksen aikavakio (h)~
e: numeerinen parametri, joka riippuu aikavakiosta
Definition: var a:= Q_sh_release+Q_wh_release+Q_persons+Q_electricity_heat_r+Q_sun;~
var b:= Q_conduction+Q_air_leak+Q_air_exchange;~
var c:=(b/((Ts-Tu)*Time_period))*1000;~
var d:=C_rak_unit*Ground_floor_area*No_of_floors/c;~
var e:=1+(d/15);~
~
(1-(a/b)^e)/(1-(a/b)^(e+1))~

Nodelocation: 200,248,1
Nodesize: 48,24
Windstate: 2,245,12,727,448
Valuestate: 2,486,311,416,303,0,MIDM
Reformval: [Building_type,Month]

Variable C_rak_unit
Title: C_rak_unit
Units: Wh/(brm2 K)
Description: Rakennuksen sisäpuolinen tehollinen lämpökapasiteetti, riippuu rakennusmateriaalista~

Definition: Table(Building_type)(~
150,150,190)
Nodelocation: 96,248,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Q_pers_unit_rel
Title: Q persons unit release
Units: kWh/brm2/a
Definition: Table(Building_type)(~
8,11,17)
Nodelocation: 304,112,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Electricity_heat_uni
Title: Electricity heat unit release
Units: kWh/brm2
Definition: Table(Building_type)(~
32,32,32)
Nodelocation: 408,112,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable G_sun_horizontal
Title: Sun radiation horizontal
Units: kWh/m2
Description: Oletusarvot: Jyväskylän seutu
Definition: Table(Month)(~
5.7,23.3,47.3,93.40000000000001,147.1,171.4,138.4,116.4,61.4,26.6,5.5,2.8)
Nodelocation: 200,56,1
Nodesize: 48,24
Defnstate: 2,659,339,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable G_sun_vertical
Title: Sun radiation vertical
Units: kWh/m2
Description: Oletusarvot: Jyväskylän seutu, ikkunat lounaaseen
Definition: Table(Month)(~
7.6,41.8,58.5,92.3,101.1,107.7,84.8,93.09999999999999,58.8,34.6,6.2,2.8)
Nodelocation: 200,112,1
Nodesize: 48,24
Defnstate: 2,731,315,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Displayoutputs: Variable Q_sun

Variable F_direction
Title: Direction conversion factor
Units: -
Description: Muuntokerroin, jolla vaakatasolle tuleva auringon kokonaissäteilyenergia muunnetaan ilmansuunnittain pystypinnalle tulevaksi kokonaissäteilyenergiaksi~
~
oletusarvot: Jyväskylän seutu, ikkunat lounaaseen
Definition: Table(Month)(~
1.333,1.794,1.237,0.987,0.6870000000000001,0.628,0.613,0.8,0.958,1.301,1.127,1)
Nodelocation: 96,112,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable G
Title: Window permeability factor
Units: -
Description: ikkunan valoaukon auringon kokonaissäteilyn läpäisykerroin~
~
Voidaan laskea: g = 0.9 * ikkunan valoaukon kohtisuoran auringonsäteilyn kokonaisläpäisykerron~
~
käytetty oletusarvo: yksipuitteinen, kolmilasinen ikkuna
Definition: 0.9*0.7
Nodelocation: 96,56,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable F_permeability
Title: Radiation permeability factor
Units: -
Description: Auringon säteilyn läpäisyn kokonaiskorjauskerroin~
~
Voidaan laskea: F_läpäisy = F_kehä * F_verho * F_ varjostus~
~
Jos varjostuksia ja pysyviä verhoja ei ole, F_läpäisy oletusarvona voidaan käyttää 0.75~
~
F_kehä = ikkunan valoaukko (m2) / ikkunan koko kehysrakenteineen (m2). Voidaan käyttää oletusarvoa 0.75~
~
F_verho: tyypilliset arvot eri verho/sälekaihdin tyypeille vaihtelevat välillä 0.3-0.8. Oletusarvonana 0.5, joka vastaa vaaleita tekstiiliverhoja sisäpuolella. Valkoiset sälekaihtimet ikkunan välissä = 0.3.~
~
F_varjostus lasketaan ikkunan horisontaalisten, yläpuolisten vaakasuorien rakenteiden ja sivuilla olevien pystysuorien rakenteiden varjostuksen tulona. Oletusarvona on, että näitä varjostuksia ei ole.
Definition: 0.75*0.5
Nodelocation: 96,176,1
Nodesize: 48,24
Windstate: 2,98,90,476,295
Nodecolor: 65535,52427,61166

Close Internal_heat

Index Heat_loss
{!40000|Att_previndexvalue: ['Conduction','Air exchange','Air leak','SH system','Water heating','WH system']}
Title: Heat loss source
Definition: ['Conduction','Air exchange','Air leak','SH system','Water heating','WH system']
Nodelocation: 848,336,1
Nodesize: 48,16

Variable Heat_loss_fraction
Title: Heat loss
Definition: Table(Heat_loss)(~
sum(Q_conduction,month),sum(Q_air_exchange,month),sum(Q_air_leak,month),sum(Q_sh_system,month),(Q_water_heating-Q_wh_system)*12*Ground_floor_area*No_of_floors,Q_wh_system*12*Ground_floor_area*No_of_floors)
Nodelocation: 848,296,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Defnstate: 2,596,148,960,303,0,MIDM
Valuestate: 2,120,130,674,303,0,MIDM
Reformval: [Heat_loss,Const_year]

Variable Heat_loss_fraction1
Title: Heat loss fraction
Definition: var a:=Heat_loss_fraction;~
a/sum(a,heat_loss)
Nodelocation: 952,296,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Valuestate: 2,168,178,679,352,0,MIDM
Reformval: [Heat_loss,Const_year]
{!40000|Att_resultslicestate: [Building_type,2,Energy_class,3,Heat_system,1,Const_year,1,Heat_loss,1]}

Variable Internal_heat_source
Title: Internal heat source
Definition: Table(Internal_heat1)(~
sum(Q_sun,month),sum(Q_persons,month),sum(Q_electricity_heat_r,month),sum(Q_sh_release,month),sum(Q_wh_release,month))
Nodelocation: 848,400,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Defnstate: 2,198,406,416,303,0,MIDM
Reformval: [Internal_heat1,Heat_system]
{!40000|Att_resultslicestate: [Building_type,3,Heat_system,1,Internal_heat1,1]}

Index Internal_heat1
{!40000|Att_previndexvalue: ['Sun','Person','Electricity','SH release','WH release']}
Title: Internal heat
Definition: ['Sun','Person','Electricity','SH release','WH release']
Nodelocation: 848,440,1
Nodesize: 48,16
Windstate: 2,109,378,476,224

Variable Internal_heat_fracti
Title: Internal heat fraction
Definition: var a:=Internal_heat_source;~
a/sum(a,internal_heat1)
Nodelocation: 952,400,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Valuestate: 2,88,98,761,303,0,MIDM
Reformval: [Internal_heat1,Heat_system]

Close Building_heat_consum

Objective Total_heat_purchase
Title: Total heat purchase by heating type
Units: kWh/a
Definition: sum(Bs_devel*Q_heat_purchase, Const_year, Building_type, Energy_class)
Nodelocation: 312,208,1
Nodesize: 52,28
Windstate: 2,531,6,476,224
Valuestate: 2,40,206,627,306,0,MIDM
Reformval: [Fu_period,Heat_system]
{!40000|Att_resultslicestate: [Building_type,2,Const_year,1,Heat_system,1]}

Module Pm2_5_emfs
Title: PM2.5 EMF
Author: vkoe
Date: 4. Febta 2011 9:49
Defaultsize: 48,24
Nodelocation: 200,272,1
Nodesize: 48,24
Diagstate: 1,245,191,538,275,17
Nodecolor: 52427,63897,65535

Index Wood_heater
Title: Wood heater
Definition: ['Manual with accumulator','Auto feed wood chip boiler','Auto feed pellet boiler','Iron stove','Other stove or oven','Open fireplace']
Nodelocation: 88,88,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Manual with accumulator','Auto feed wood chip boiler','Auto feed pellet boiler','Iron stove','Other stove or oven','Open fireplace']}

Variable Wh_frac
Title: Wood heater fraction
Definition: Table(Wood_heater)(~
0.401,0.072,5m,7m,0.507,8m)
Nodelocation: 88,56,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Wh_pm_emf
Title: Wood heater PM2.5 EMF
Units: mg/MJ
Definition: Table(Wood_heater)(~
80,50,30,700,140,800)
Nodelocation: 192,56,1
Nodesize: 48,24
Defnstate: 2,752,142,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Pm2_5_emf_wood
Title: PM2.5 EMF wood
Units: mg/MJ
Definition: sum(Wh_pm_emf*Wh_frac,wood_heater)
Nodelocation: 296,56,1
Nodesize: 48,24

Variable Pm_emf
Title: PM2.5 EMF
Units: mg/MJ
Definition: Table(Heat_system,Pm_source)(~
0,sum(Dh_power_plant_frac*Dh_pm2_5_emf, PP_FUEL)[Dh_pp='Small heat'],sum(Dh_power_plant_frac*Dh_pm2_5_emf, PP_FUEL)[Dh_pp='Large CHP'],~
30,0,0,~
sum(Wh_pm_emf*Wh_frac,wood_heater),0,0,~
0,0,sum(Electricity_producti*Electricity_fuel_fra*Elect_pp_pm2_5_emf, Elect_pp, pp_fuel),~
0,0,sum(Electricity_producti*Electricity_fuel_fra*Elect_pp_pm2_5_emf, Elect_pp, pp_fuel),~
0,0,0~
)
Nodelocation: 416,56,1
Nodesize: 48,24
Windstate: 2,109,108,476,224
Defnstate: 2,436,306,812,303,0,MIDM
Valuestate: 2,312,322,461,303,0,MIDM
Reformdef: [Heat_system,Pm_source]
Reformval: [Pm_source,Heat_system]
{!40000|Att_resultslicestate: [Dh_pp,1,Heat_system,1,Pm_source,1]}

Variable Dh_pm2_5_emf
Title: DH PP PM2.5 EMF
Definition: Table(Pp_fuel,Dh_pp)(~
10,10,~
10,50,~
10,0,~
10,50,~
10,30~
)
Nodelocation: 296,120,1
Nodesize: 48,24
Windstate: 2,1316,419,476,224
Nodecolor: 65535,52427,61166
Reformdef: [Dh_pp,Pp_fuel]
Reformval: [Dh_pp,Pp_fuel]

Variable Elect_pp_pm2_5_emf
Title: Elect PP PM2.5 EMF
Definition: Table(Pp_fuel,Elect_pp)(~
10,10,~
10,10,~
10,10,~
10,10,~
10,10~
)
Nodelocation: 296,184,1
Nodesize: 48,24
Windstate: 2,1290,426,476,224
Nodecolor: 65535,52427,61166
Reformdef: [Elect_pp,Pp_fuel]
Reformval: [Elect_pp,Pp_fuel]

Close Pm2_5_emfs

Variable Pm_source_type
Title: PM2.5 source type
Definition: Table(Heat_system,Pm_source)(~
0,0.25,0.75,~
1,0,0,~
1,0,0,~
0,0,1,~
0,0,1,~
0,0,0~
)
Nodelocation: 200,336,1
Nodesize: 48,24
Defnstate: 2,840,221,416,303,0,MIDM
Reformdef: [Pm_source,Heat_system]
Reformval: [Pm_source,Heat_system]

Variable Exposure_mold
Title: Exposure to mold and dampness
Description: Fraction of exposed population
Definition: 15/100
Nodelocation: 440,496,1
Nodesize: 48,24

Variable Erf_mold
Title: ERF mold and asthma
Description: OR= 1.56 ~
~
RR=OR/(1-CR+(CR*OR))~
~
Asthma prevalence in Finland: 8%
Definition: 1.56/(1-0.08+(0.08*1.56))
Nodelocation: 440,552,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Exposure_radon
Title: Exposure to radon
Units: Bq/m3
Definition: 120
Nodelocation: 560,496,1
Nodesize: 48,24

Variable Erf_radon_lc
Title: ERF radon and lung cancer
Units: RR per Bq/m3
Definition: exp(ln(1.16)/100)
Nodelocation: 560,552,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Index Assess_year
Title: Assess year
Definition: [2010,2030]
Nodelocation: 312,368,1
Nodesize: 48,12

Variable Erf_pm_rad
Title: ERF PM2.5 and RAD
Units: / 10 ug3
Description: AR, 15-64 years old
Definition: 0.902
Nodelocation: 312,552,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Variable Erf_pm_cb
Title: ERF PM2.5 and chronic bronchitis
Units: / 1 ug3
Description: AR, >27 years old
Definition: 5.33E-05
Nodelocation: 312,608,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166

Module Co2_emf
Title: CO2 EMF
Author: vkoe
Date: 8. Febta 2011 9:41
Defaultsize: 48,24
Nodelocation: 432,136,1
Nodesize: 48,24
Diagstate: 2,710,322,356,224,17
Nodecolor: 52427,63897,65535

Variable Co2_emf1
Title: CO2 EMF
Units: g/kWh
Description: Motiva: ~
kaukolämpö 214 g/kWh (keskimäärin)~
kevyt polttoöljy 267 g/kWh~
sähkö: vaihtelee vuosittain, mutta on n. 200 g/kWh. Lämmitykseen käytetylle sähkölle käytetään kuitenkin kerrointa 400 g/kWh, joka huomioi sen, että suuri osa käytetystä sähköstä tuotetaan talvella.
Definition: Table(Heat_system)(~
214,267,0,400,400,0)
Nodelocation: 200,48,1
Nodesize: 48,24
Windstate: 2,1180,635,476,224
Defnstate: 2,604,342,416,303,0,MIDM

Variable Dh_pp_co2_emf
Title: DH PP CO2 EMF
Definition: Table(Pp_fuel,Dh_pp)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 96,48,1
Nodesize: 48,24
Defnstate: 2,191,706,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Dh_pp,Pp_fuel]

Variable Elect_pp_co2_emf
Title: Elect PP CO2 EMF
Definition: Table(Pp_fuel,Elect_pp)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 96,104,1
Nodesize: 48,24
Nodecolor: 65535,52427,61166
Reformdef: [Elect_pp,Pp_fuel]

Close Co2_emf

Module Personal_exposure_pm
Title: Exposure to indoor PM2.5
Author: vkoe
Date: 8. Febta 2011 9:41
Defaultsize: 48,24
Nodelocation: 80,424,1
Nodesize: 48,28
Diagstate: 2,32,26,700,485,17
Nodecolor: 52427,63897,65535

Variable Combustion_time
Title: Combustion time
Units: h
Description: NEEDS: The combustion time. Thus, how long the wood is burned. One hour was used in scenario 4b, Table 5.5 (pages 154-155).~
~
LAMA: combustion time is 24h/day because source strenght is averaged assuming a given burn time
Definition: 24
Nodelocation: 432,112,1
Nodesize: 48,24
Windstate: 2,345,106,476,224
Nodecolor: 65535,52427,57888

Variable Emission_factor_
Title: Emission factor (R)
Units: ug/h
Description: NEEDS: Total PM10 emission (outdoor+indoor) is 7118750 ug/h for each hour of burning~
~
LAMA model: an average daily emission rate of PM2.5 to indoors is 2690 ug/h assuming a given burn time in a day
Definition: 2690
Nodelocation: 432,56,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888

Variable Removal_factor_1
Title: Removal factor (R)
Units: -
Description: Removal factor describes the amount of pollutant that is removed through chimney. Value 0 means that all the emissions are emitted to indoor and 1 means that all the emissions emitted outdoor. The NEEDS report desctibes in page 157 that R is probably more than 0.99, possibly even 0.999.~
~
The value 0.99 was used in Scenrio 4b.~
~
0.999 is used here, because it results in concentrations comparable to the LAMA model approach
Definition: .999
Nodelocation: 432,168,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888

Variable Pm_decay_rate
Title: PM2.5 decay rate
Units: /h
Description: Removal rate(deposition rate) describes the removal of PM from indoor air. The value used here (0.5) is from the NEEDS report (page 154, Table 5.4).~
~
LAMA model PM2.5 decay rate = normal(0.39, 0.09)
Definition: 0.39
Nodelocation: 200,176,1
Nodesize: 48,24
Nodecolor: 65535,52427,57888

Variable Aeration_rate
Title: Building aeration rate
Units: 1/h
Description: Aeration rate is air exchange rate. Thus, how fast the air exchange. The value 1 id from NEEDS report.~
~
Aeration rate is assumed to be the sum of air exchange and air leak rate. AIr exchange should be 0.5/h~
~
Air_leak_factor+0.5
Definition: Air_leak_factor+0.5
Nodelocation: 312,176,1
Nodesize: 48,24
Windstate: 2,785,103,476,224
Valuestate: 2,282,233,615,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformval: [Energy_class,Const_year]

Variable Pm_emis_indoor
Title: PM2.5 indoor emission
Units: ug
Description: Primary PM2.5 emissions to indoor air from domestic wood combustion.~
~
Emission_factor_*Combustion_time*(1-Removal_factor_1)~
~
Emission_factor_*Combustion_time*365~
~

Definition: Domwood_pm_emis*(1-Removal_factor_1)*1000
Nodelocation: 432,256,1
Nodesize: 48,24
Windstate: 2,311,104,476,339
Defnstate: 2,47,32,416,303,0,MIDM
Valuestate: 2,182,99,619,303,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Energy_class,Const_year]
Att__totalsindex: Index Energy_class, Index Const_year
{!40000|Att_resultslicestate: [Fu_period,3,Const_year,1,Energy_class,1]}

Variable Volume_finland
Title: Wood heated building volume
Units: m3
Description: Total volume of wood heated houses in Finland. Average height assumed to be 2.5 m.~
~
sum(Build_stock_current[Heat_system='Wood'], building_type)*2.5
Definition: sum(Bs_devel[Heat_system='Wood'], building_type)*2.5
Nodelocation: 80,256,1
Nodesize: 48,24
Windstate: 2,533,48,476,224
Valuestate: 2,280,290,596,303,0,MIDM
Reformval: [Energy_class,Const_year]

Variable Volume_indoor1
Title: Volume indoor
Units: m3
Description: This node applies to lower part of NEEDS report equation 1 from page 84.
Definition: (Aeration_rate+Pm_decay_rate)*24*365*Volume_finland
Nodelocation: 200,256,1
Nodesize: 48,24
Windstate: 2,180,757,476,224
Valuestate: 2,538,219,499,303,0,MIDM
Reformval: [Energy_class,Const_year]

Variable Average_concentratio
Title: PM2.5 indoor concentration
Units: ug/m3
Description: Average indoor concentration of PM2.5 in year 2000 due to domestic wood combustion in different houses.
Definition: var a:=Pm_emis_indoor/Volume_indoor1;~
a:=if Volume_indoor1=0 then 0 else a;~
a~

Nodelocation: 312,256,1
Nodesize: 48,24
Windstate: 2,439,71,476,283
Valuestate: 2,146,62,521,303,0,MIDM
Nodecolor: 65535,19661,38773
Reformval: [Energy_class,Const_year]
{!40000|Att_resultslicestate: [Fu_period,1,Const_year,1,Energy_class,1]}

Variable Pop_frac_indoor_pm
Title: Fraction of exposed population
Description: The fraction of population exposed to wood smoke PM2.5 in different housing conditions.~
~
Based on the fraction of wood heated building stock  from the whole building stock.
Definition: var a:=sum(Bs_devel,building_type);~
a[Heat_system='Wood']/sum(a,heat_system,const_year,energy_class)~

Nodelocation: 432,376,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,128,50,762,314
Valuestate: 2,403,200,545,303,0,MIDM
Nodecolor: 65535,52427,57888
Reformval: [Energy_class,Const_year]
Att__totalsindex: Index Energy_class, Index Const_year
{!40000|Att_resultslicestate: [Fu_period,1,Const_year,1,Energy_class,1]}

Variable Population_average_e
Title: Pop average indoor conc
Units: ug/m3
Description: This node estimates population average exposure for domestic wood combustion generated PM2.5 emiddions through indoor. Thus, if only 14% of people are exposed to PM2.5in recreational building, then population average exposure is 14% of total exposure.
Definition: sum(Average_concentratio*Pop_frac_indoor_pm,energy_class, const_year)
Nodelocation: 312,376,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,129,81,476,224
Valuestate: 2,451,126,416,303,0,MIDM
Reformval: [Energy_class,Const_year]

Variable Domwood_pm_emis
Title: Dom wood comb PM2.5 emission
Definition: (Pm_emf*((sum(Bs_devel*Q_heat_purchase, Building_type))*3.6))[Heat_system='Wood', Pm_source='DOM']
Nodelocation: 552,256,1
Nodesize: 48,24
Windstate: 2,310,661,476,224

Close Personal_exposure_pm

Module District_heat_produc
Title: District heat & electricity production
Author: vkoe
Date: 8. Febta 2011 9:41
Defaultsize: 48,24
Nodelocation: 432,272,1
Nodesize: 48,29
Diagstate: 2,1289,186,337,257,17
Nodecolor: 52427,63897,65535

Index Pp_fuel
Title: PP fuel
Definition: ['Oil','Wood','Natural gas','Peat','Coal']
Nodelocation: 200,160,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Oil','Wood','Natural gas','Peat','Coal']}

Variable Dh_power_plant_frac
Title: DH fuel frac
Description: CHP voimalaitokset:~
*maakaasu 40%~
*kivihiili 25%~
*turve 17%~
*puu 12%~
~
Lämpökeskukset:~
*maakaasu 29%~
*raskas polttoöljy 16%~
*puu 23%~
*turve 9%~
~

Definition: Table(Pp_fuel,Dh_pp)(~
0,0.5,~
0.15,0.25,~
0.4,0.25,~
0.2,0,~
0.25,0~
)
Nodelocation: 200,48,1
Nodesize: 48,24
Windstate: 2,102,90,476,425
Defnstate: 2,254,432,416,303,0,MIDM
Valuestate: 2,1331,571,416,303,0,MIDM
Nodecolor: 19664,65535,19661
Reformdef: [Dh_pp,Pp_fuel]
Reformval: [Dh_pp,Pp_fuel]

Index Dh_pp
Title: DH PP
Definition: ['Large CHP','Small heat']
Nodelocation: 96,80,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Large CHP','Small heat']}

Variable Dh_production
Title: DH production
Description: Energiateollisuus, 2008: 75% suurissa yhteistuotantovoimaloissa ja 25% erillistuotantoa lämpökeskuksissa
Definition: Table(Dh_pp)(~
0.75,0.25)
Nodelocation: 96,48,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,156,326,416,303,0,MIDM
Nodecolor: 19664,65535,19661

Index Elect_pp
Title: Elect PP
Definition: ['CHP','Lauhde']
Nodelocation: 96,160,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['CHP','Lauhde']}

Variable Electricity_producti
Title: Electricity production
Description: n. 40% CO2 ja PM neutraalilla tuotannolla (ydin-, vesi-, tuulivoima), 12% tuontisähköä, 30% yhteistuotantoa, loput lauhdevoimaa.
Definition: Table(Elect_pp)(~
0.3,0.18)
Nodelocation: 96,128,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,646,252,416,303,0,MIDM
Nodecolor: 65535,52427,61166

Variable Electricity_fuel_fra
Title: Electricity fuel frac
Definition: Table(Pp_fuel,Elect_pp)(~
0,0,~
0.15,0.06,~
0.4,0.05,~
0.2,0.23,~
0.25,0.66~
)
Nodelocation: 200,128,1
Nodesize: 48,24
Defnstate: 2,409,224,416,303,0,MIDM
Valuestate: 2,881,590,416,303,0,MIDM
Nodecolor: 65535,52427,61166
Reformdef: [Elect_pp,Pp_fuel]
Reformval: [Elect_pp,Pp_fuel]

Close District_heat_produc

Variable Co2_emission
Title: CO2 emission
Units: t/a
Definition: (Total_heat_purchase*Co2_emf1)/10^6
Nodelocation: 552,136,1
Nodesize: 48,24
Windstate: 2,490,708,476,224

Module Personal_exposure_to
Title: Personal exposure to PM2.5
Author: vkoe
Date: 10. Febta 2011 12:43
Defaultsize: 48,24
Nodelocation: 80,496,1
Nodesize: 48,29
Diagstate: 2,608,213,715,459,17
Nodecolor: 52427,63897,65535

Index Microenv
{!40000|Att_previndexvalue: ['Outdoor','Home','Work','Other indoor','Traffic']}
Title: Microenv
Definition: ['Outdoor','Home','Work','Other indoor','Traffic']
Nodelocation: 488,80,1
Nodesize: 48,12
Windstate: 2,98,90,476,227

Variable Time_use
Title: Pop average time use
Definition: Table(Microenv)(~
2/24,12/24,8/24,1/24,1/24)
Nodelocation: 488,48,-3
Nodesize: 48,24
Windstate: 2,98,90,476,224
Defnstate: 2,734,677,357,204,0,MIDM

Variable Pm_home
Title: PM2.5 home
Description: Outdoor air infiltration + average from indoor air sources
Definition: var a:=Pm_outdoor*Pm_infiltration;~
~
if heat_system = 'Wood' then a+Average_concentratio else a
Nodelocation: 328,160,1
Nodesize: 48,24
Windstate: 2,907,709,489,224
Valuestate: 2,216,582,637,303,0,MIDM
Reformval: [Energy_class,Const_year]
{!40000|Att_resultslicestate: [Heat_system,3,Fu_period,1,Const_year,1,Energy_class,1]}

Variable Pm_outdoor
Title: Pop average PM2.5 outdoor exp
Units: ug/m3
Description: Pop average exposure from all outdoor sources~
~
Traffic~
Domestic wood combustion~
Power plants~
Industry~
Agriculture~
Long range transport~
Other
Definition: 10
Nodelocation: 328,56,1
Nodesize: 48,29

Variable Pm_work
Title: PM2.5 Work
Definition: Pm_outdoor*Pm_infiltration
Nodelocation: 328,216,1
Nodesize: 48,24

Variable Traffic_pm_ef
Title: Traffic enrich factor
Definition: 2.5
Nodelocation: 328,272,1
Nodesize: 48,24

Variable Building_pm_penet
Title: Building PM2.5 penetration
Description: Building penetration factor for PM2.5~
~
LAMA: normal(1, 0.06)
Definition: 1
Nodelocation: 96,160,1
Nodesize: 48,24

Variable Pm_infiltration
Title: PM2.5 infiltration
Definition: (Building_pm_penet*Aeration_rate)/(Aeration_rate+Pm_decay_rate)
Nodelocation: 208,160,1
Nodesize: 48,24

Index Pm_outdoor_source
Title: PM outdoor source
Definition: ['Traffic','Domestic combustion','Power plants','Industry','Long range tran']
Nodelocation: 328,96,1
Nodesize: 48,16
Windstate: 2,1075,100,476,224

Variable Pm2_5_concentration
Title: PM2.5 conc microenv
Units: ug/m3
Definition: Table(Microenv)(~
Pm_outdoor,Pm_home,Pm_work,Pm_work,Pm_outdoor*Traffic_pm_ef)
Nodelocation: 488,152,1
Nodesize: 48,24
Defnstate: 2,1154,634,416,303,0,MIDM
Valuestate: 2,654,463,505,361,0,MIDM
Reformval: [Fu_period,Const_year]
{!40000|Att_resultslicestate: [Energy_class,1,Heat_system,1,Microenv,2,Const_year,1,Fu_period,1]}

Variable Pers_pm
Title: Personal PM2.5 exposure
Definition: sum(Pm2_5_concentration*Time_use, microenv)
Nodelocation: 488,216,1
Nodesize: 48,24
Valuestate: 2,925,650,627,303,0,MIDM
Reformval: [Fu_period,Const_year]
{!40000|Att_resultslicestate: [Energy_class,3,Heat_system,3,Const_year,1,Fu_period,1]}

Variable Building_type_pop_fr
Title: Building type pop Frac
Definition: var a:=Bs_devel;~
a/sum(a,const_year,energy_class,heat_system,building_type)
Nodelocation: 608,272,1
Nodesize: 48,24
Valuestate: 2,157,656,652,303,0,MIDM
Reformval: [Fu_period,Building_type]

Variable Pop_aver_personal_pm
Title: Pop aver pers PM2.5 exposure
Definition: sum(Pers_pm*Building_type_pop_fr, Const_year, building_type, heat_system,energy_class)
Nodelocation: 488,272,1
Nodesize: 48,24

Close Personal_exposure_to

Close Claih