{ From user Virpi Kollanus, Model Claih at 8. helta 2011 21:15 } Softwareversion 4.2.2 { 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: Virpi Kollanus Savedate: 8. helta 2011 21:15 Defaultsize: 48,24 Diagstate: 1,25,3,1134,767,17 Fontstyle: Arial, 13 Fileinfo: 0,Model Claih,2,2,0,0,C:\Documents and Settings\Virpi Kollanus\Työpöytä\Claih_model2.ANA Module Building_stock Title: Building stock Author: vkoe Date: 15. Janta 2009 6:55 Defaultsize: 48,24 Nodelocation: 264,160,1 Nodesize: 48,24 Diagstate: 1,202,81,767,522,17 Nodecolor: 52427,63897,65535 Index Building_type Title: Building type Definition: ['Detached house','Row house','Apartment building'] Nodelocation: 184,224,1 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: 312,168,1 Nodesize: 48,28 Windstate: 2,147,104,590,431 Valuestate: 2,223,12,643,292,0,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,0,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)(~ 9.09977M,37.807361M,29.302174M,63.689441M,2.531745M,2.691509M,~ 14.769137M,7.545957M,202.905K,9.018459M,30.644K,144.494K,~ 75.523817M,9.63395M,357.568K,1.301344M,11.178K,553.399K~ ) Nodelocation: 184,168,1 Nodesize: 48,24 Windstate: 2,916,530,476,224 Defnstate: 2,468,482,692,303,0,MIDM Valuestate: 2,1004,197,719,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Heat_system,Building_type] 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: 424,208,1 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: 184,200,1 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: 424,168,1 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: 184,128,1 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,17.240932M,0,0,0,~ 971.421K,1.911846M,7.63526M,11.476249M,5.729734M,3.66125M,0,0,0,~ 16.235186M,15.83794M,23.525259M,12.025787M,10.825779M,8.282504M,0,0,0~ ) Nodelocation: 184,96,1 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,~ 0.67,0.67,0.57,0.2,0.15,0.12,0.09,0.09,0,~ 0.04,0.04,0.14,0.16,0.07000000000000001,0.05,0.05,0.05,0,~ 0.25,0.25,0.23,0.53,0.66,0.59,0.54,0.54,0,~ 100u,100u,100u,0.01,0.01,0.09,0.14,0.14,0,~ 100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0,~ 0.28,0.31,0.33,0.46,0.5600000000000001,0.59,0.59,0.59,0,~ 0.6,0.59,0.58,0.16,0.19,0.09,0.09,0.09,0,~ 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,~ 100u,100u,100u,100u,100u,0.01,0.01,0.01,0,~ 100u,100u,100u,100u,100u,100u,100u,100u,0,~ 0.72,0.72,0.72,0.91,0.96,0.98,0.98,0.98,0,~ 0.28,0.28,0.28,0.06,0.03,0.02,0.02,0.02,0,~ 1m,1m,1m,1m,1m,1m,1m,1m,0,~ 0,0,0,0.03,0.01,0,0,0,0,~ 100u,100u,100u,100u,100u,100u,100u,100u,0,~ 100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0~ ) Nodelocation: 184,40,1 Nodesize: 48,24 Windstate: 2,98,90,476,430 Defnstate: 2,987,80,676,268,0,MIDM Valuestate: 2,255,95,706,263,0,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_editslicestate: [Building_type,2,Const_year,1,Heat_system,1]} Module Mo2 Author: vkoe Date: 8. Febta 2011 9:41 Defaultsize: 48,24 Nodelocation: 72,168,1 Nodesize: 48,24 Diagstate: 1,384,175,550,300,17 Index Efficiency_renovatio Title: Efficiency renovation Definition: copyindex(Energy_class) Nodelocation: 96,88,1 Nodesize: 48,16 {!40000|Att_previndexvalue: ['Traditional','Current standard','Low-energy','Passive house']} 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 Title: Heating renovation Definition: Copyindex(Heat_system) Nodelocation: 96,176,1 Nodesize: 48,16 {!40000|Att_previndexvalue: ['District','Light oil','Wood','Electricity','Geothermal','Other']} 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 Variable Bs_devel Title: Building stock development Definition: Bs_current-Bs_loss+Bs_new Nodelocation: 312,296,1 Nodesize: 48,24 Defnstate: 2,716,306,416,303,0,MIDM Valuestate: 2,185,174,785,303,0,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: 536,296,1 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 40 vuotta vanhoihin rakennuksiin. Definition: sum(Bs_current, const_year, energy_class, heat_system)*0.003 Nodelocation: 72,296,1 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: 72,352,1 Nodesize: 48,28 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: 184,296,1 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: 536,352,1 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: 536,408,1 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: 432,296,1 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: 640,352,1 Nodesize: 48,24 Defnstate: 2,217,227,692,303,0,MIDM Reformdef: [Fu_period,Const_year] Close Building_stock Decision Dec_build_heat Title: Building heating system Definition: ['BAU'] Nodelocation: 256,72,1 Nodesize: 48,28 Decision Dec_dh_prod Title: District heat production Definition: ['BAU'] Nodelocation: 496,72,1 Nodesize: 48,28 Decision Dec_build_ef Title: Building energy efficiency Definition: ['BAU'] Nodelocation: 376,72,1 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: 376,360,1 Nodesize: 48,24 Windstate: 2,596,283,476,224 Valuestate: 2,87,307,371,246,0,MIDM Reformval: [Pm_source,Fu_period] {!40000|Att_resultslicestate: [Subsidies_for_energy,1,Decision_on_heat_pro,2,Decision_of_district,3,Area1,1,Heating_system,1]} Variable Exposure_pm Title: Pop exposure to outdoor air PM2.5 Units: ug/m3 Definition: (Pm2_5_emis_from_heat*If_source_categories)/((sum(population,age)*20*365))*1000 Nodelocation: 376,448,1 Nodesize: 48,36 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,259,64,476,224 Defnstate: 2,181,415,738,303,0,MIDM Valuestate: 2,296,306,676,303,0,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: 744,160,1 Nodesize: 48,24 Diagstate: 1,20,49,420,289,17 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 Displayoutputs: 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 Displayoutputs: Close Household_heating_co 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: 264,448,1 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: 264,480,1 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: 504,680,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Diagstate: 1,133,24,1071,741,17 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=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010],~ 0,~ 0,~ 0.08*Pop_in_time_beg[Sex='Male/female', Exposure='BAU',period_lt=2010]~ ) Nodelocation: 624,120,1 Nodesize: 48,24 Windstate: 2,50,98,476,264 Defnstate: 2,202,531,734,530,0,MIDM Valuestate: 2,9,461,456,499,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Morb_endpoint,Age_cat] Reformval: [Morb_endpoint,Age_cat] Att__totalsindex: Index Age_cat {!40000|Att_resultslicestate: [Gender,1,Age_cat,1,Morbidity,1]} {!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: 2,653,2,504,796,0,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: 2,1107,107,655,789 Defnstate: 2,603,496,559,303,0,MIDM Valuestate: 2,1165,56,630,962,0,MIDM Reformval: [Exposure,Age] Att__totalsindex: Index Age {!40000|Att_resultslicestate: [Sex,1,Pollutant,3,Morb_endpoint,3,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:~ Graphs1~ Log: Tainio Life-Table 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: 2,288,64,546,640,0,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,1,Pop_unit,1,Time_unit,1,Exposure,1,Pollutant,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 table' 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: 2,136,79,526,810 Valuestate: 2,435,17,787,632,0,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,2,Mort_endpoint,1,Exposure,1,Pollutant,2,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: 2,253,19,696,654,0,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,2,Pop_unit,1,Exposure,1,Time_unit,2,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: 2,78,63,569,589,17 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 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 {!40000|Att_previndexvalue: ['Chronic bronchitis','RAD','Asthma']} 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: 2,272,77,694,807,0,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,1,Pop_unit,1,Time_unit,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: 2,595,61,534,370 Valuestate: 2,29,66,692,733,0,MIDM Reformval: [Pollutant,Age] {!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Morb_endpoint,3,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: 2,843,100,532,889,0,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)(~ 10,1,1,~ 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)(~ 8,1/365,0~ ) 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) 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,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 0,0,0,0,~ 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,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 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: 2,989,79,876,718,0,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: 2,680,160,754,582,0,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: 176,536,1 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: 256,632,1 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: 376,520,1 Nodesize: 48,28 Diagstate: 2,121,91,1067,576,17 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: median(Combined_c_r_functio) Nodelocation: 288,304,1 Nodesize: 48,24 Valuestate: 2,84,60,512,597,0,STAT 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: 376,160,1 Nodesize: 52,24 Diagstate: 2,158,28,857,695,17 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,1,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 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,3,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+Q_wh_system)/12/(Ground_floor_area*No_of_floors) Nodelocation: 392,464,1 Nodesize: 48,24 Windstate: 2,482,776,476,224 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*(Ts-Tu)*Time_period/1000 Nodelocation: 288,288,1 Nodesize: 48,24 Windstate: 2,71,69,510,224 Valuestate: 2,422,203,540,303,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Month] Att__totalsindex: Index Month 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*(Ts-Tu)*Time_period/1000 Nodelocation: 496,288,1 Nodesize: 48,24 Windstate: 2,133,694,476,318 Valuestate: 2,452,466,529,303,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Month] 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*(Ts-Tu)*Time_period/1000 Nodelocation: 392,288,1 Nodesize: 48,24 Windstate: 2,459,99,476,506 Valuestate: 2,262,393,511,303,0,MIDM Nodecolor: 65535,19661,50247 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,~ 0.17,0.17,0.17,0.17,0.17,0.17,0.17,0.17,0,~ 0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0,~ 0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0~ ) 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,~ 0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0~ ) 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,~ 0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0,~ 0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0,~ 0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0~ ) 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)(~ 1.5,1.5,1.5,1.4,1.4,1.4,1,1,0,~ 1,1,1,1,1,1,1,1,0,~ 0.9,0.9,0.9,0.9,0.9,0.9,0.9,0.9,0,~ 0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0~ ) Nodelocation: 80,104,1 Nodesize: 48,24 Defnstate: 2,104,114,1008,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Const_year,Energy_class] 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: 2,595,462,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable U_outer_door Title: Outer door heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 1.4,1.4,1.4,1.4,1.4,1.4,1,1,0,~ 1,1,1,1,1,1,1,1,0,~ 0.6,0.6,0.6,0.6,0.6,0.6,0.6,0.6,0,~ 0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0~ ) Nodelocation: 80,48,1 Nodesize: 48,24 Defnstate: 2,72,82,918,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Const_year,Energy_class] 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,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0,~ 0.032,0.032,0.032,0.032,0.032,0.032,0.032,0.032,0,~ 0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0~ ) 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: 0.5 Nodelocation: 392,224,1 Nodesize: 48,24 Windstate: 2,1079,21,476,350 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,~ 0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0,~ 0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0,~ 0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0~ ) Nodelocation: 392,168,1 Nodesize: 48,24 Windstate: 2,98,90,476,271 Nodecolor: 1,65535,32766 Reformdef: [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: 2,1258,188,476,384 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: 2,1015,575,570,373 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*Ground_floor_area*No_of_floors*heating_season Nodelocation: 600,288,1 Nodesize: 48,24 Windstate: 2,1231,36,479,297 Valuestate: 2,418,141,603,379,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Month] {!40000|Att_resultslicestate: [Heat_system,5,Month,1,Building_type,1]} Variable Q_wh_system Title: WH system heat loss Units: kWh/a 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: (15+3)*Ground_floor_area*No_of_floors Nodelocation: 184,464,1 Nodesize: 48,24 Windstate: 2,1259,714,476,333 Valuestate: 2,1154,570,416,303,0,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: 1,390,61,758,437,17 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: 2,871,569,416,303,0,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 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: 376,224,1 Nodesize: 52,28 Windstate: 2,531,6,476,224 Valuestate: 2,638,60,627,306,0,MIDM Reformval: [Heat_system,Fu_period] {!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: 264,296,1 Nodesize: 48,24 Diagstate: 2,685,237,538,275,17 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: 264,360,1 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: 504,520,1 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: 504,576,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Exposure_radon Title: Exposure to radon Units: Bq/m3 Definition: 120 Nodelocation: 624,520,1 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: 624,576,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Index Assess_year Title: Assess year Definition: [2010,2030] Nodelocation: 376,392,1 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: 376,576,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Erf_pm_cb Title: ERF PM2.5 and chronic bronchitis Units: / 10 ug3 Description: AR, >27 years old Definition: 533u Nodelocation: 376,632,1 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: 496,160,1 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: 152,448,1 Nodesize: 48,36 Diagstate: 1,445,20,596,728,17 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: 432,96,1 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: 432,40,1 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: 432,152,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Removal_rate Title: Removal 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: 200,152,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Aeration_rate Title: 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: 312,152,1 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: (Pm_emf*((sum(Bs_devel*Q_heat_purchase, Building_type))*3.6))[Heat_system='Wood', Pm_source='DOM']*(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: 65535,52427,57888 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+Removal_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: 2,171,87,521,303,0,MIDM Reformval: [Energy_class,Const_year] 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: 432,336,1 Nodesize: 48,24 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: average(Average_concentratio*Pop_frac_indoor_pm,energy_class, const_year) Nodelocation: 312,336,1 Nodesize: 48,24 Windstate: 2,129,81,476,224 Valuestate: 2,451,126,416,303,0,MIDM Reformval: [Energy_class,Const_year] 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: 496,296,1 Nodesize: 48,29 Diagstate: 2,1308,177,337,257,17 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 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 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: 616,160,1 Nodesize: 48,24 Windstate: 2,490,708,476,224 Close Claih