Sequence( 0, 23.99, 1/5 )
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 Dynamic() function in your variables to perform dynamic simulation.
2,339,108,476,224
1000
0
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000]
1
1
4
22
1
2
0
[0.05,0.5,0.95]
1
2
0
-1460
9
Focus+scope
Moderator
References
Log
INTARESE WP3.4
PM
14. jouta 2006 16:17
pmea
5. syyta 2008 11:09
48,24
1,0,-23,1440,799,17
2,102,90,476,224
Arial Narrow, 13
0,Model Intarese_wp3_1,2,2,0,1,M:\Nitrate_UK.ana
Infants <6 months
No units
Number of infants < 6 months in each country
Population_age_struc[Age_categories1='0-4']/8
768,168,1
48,24
2,0,-23,1441,800
2,0,-23,1440,799,0,MIDM
2,523,149,421,266,0,MIDM
[0,1,1,0]
Population age structure
No units
Table(Age_categories1)(
287K,312K,421K,166K,3.88M,4.63M,2.88M,1.12M,3.18M,2.61M,1.85M,582K,701K,609K,154K,0,0,0)
768,88,1
48,29
2,0,-23,1440,799
2,0,-23,1440,799,0,MIDM
2,136,148,419,484,0,MIDM
[Age_categories1]
[Age_categories1]
Background prelevance of iMetHb
Background prelevance of iMetHb
UNKNOWN CURRENTLY!!!!!!!!!!
Lognormal( 1, , , 1 )
608,128,1
52,28
2,0,-23,1280,952
2,0,-23,1281,953,1,PDFP
[1,0,0,0]
[Variable Excess_cases_of_ime2]
Age categories
['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']
192,64,1
48,24
2,0,-23,1440,799
[]
['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']
Percentage of bottle fed infants
%
Percentage of bottle fed infants <6 months in Finland (2005)
Imeväisikäisten ruokinta
Suomessa vuonna 2005
Kaija Hasunen, Sanna Ryynänen
Selvityksiä 2005:19
ISBN 952-00-1800-X (PDF), 952-00-1799-2 (nid.), ISSN 1236-2115
Triangular( 0.48, 0.51, 0.73 )
608,192,1
52,28
2,0,-23,1280,952
2,0,-23,1281,953,1,PDFP
[1,0,0,0]
[Variable Excess_cases_of_ime2]
Excess cases of iMetHb in England and Wales
No units
Excess_rate_of_imet1*Infants__6_months*Background_prelevanc/100000*Percentage_of_bottle
768,320,1
48,40
2,102,90,476,224
2,40,50,793,499,1,STAT
{!40000|Att_contlinestyle Graph_pdf_valdim:6}
{!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,0}
Probindex:[0.5 ]
[Areas_in_england_and,Areas_in_england_and,2,1]
[Index Age_categories1, Index Areas_in_england_and]
[1,0,0,0]
[Sys_localindex('STATISTICS'),1,Areas_in_england_and,1]
Excess rate of iMetHb
No units
(exp(Slope_of_exposure_re*Total_daily_ingestio)-1)
448,320,1
48,31
2,0,-23,1441,800
2,0,-23,1440,799,0,MIDM
2,40,50,581,368,1,MIDM
[]
[]
[Object Variable]
[1,0,0,0]
[Scenarios,1,Water_companies,1,Sys_localindex('STEP'),1]
These variables defined using author judgement
608,184,-1
72,96
1,0,0,1,0,1,0,,0,
[NO3-] in drinking water in England and Wales
mg/l
Concentration of NO3- in drinking water in UK (2001)
Table(Areas_in_england_and)(
LogNormal (18.9,,, 2.34),LogNormal(26.25,,, 2.34),LogNormal (16.35,,,10.9),LogNormal (38.85,,,0.9),LogNormal (34.071,,,0.001),LogNormal (3.0007,,,5.009),LogNormal (25.539,,,10.2),LogNormal(20.4655,,,9.231),LogNormal (28.45,,,6.862),LogNormal(5.43,,,0.8788),LogNormal(18.7,,,8.223),LogNormal (3.9753,,,595),LogNormal(2.865,,,5.777),LogNormal(28.891,,,3.782),LogNormal (16.828,,,1.11),LogNormal (18.75,,,0.22),LogNormal(19.56125,,,9.113),LogNormal (30.03,,,8.132),LogNormal (4.8454,,,8.516),LogNormal (6.167,,, .03),LogNormal(27.835,,,5.515),LogNormal (28,,,6.615),LogNormal (21.243,,,11.88),LogNormal (4.80565,,,3.023),LogNormal (6.2882,,,12.02))
64,320,1
48,38
2,0,-23,1440,799
2,0,-23,1422,791,0,MIDM
2,-50,24,1440,799,1,PDFP
{!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,20}
{!40000|Att_graphvaluerange A:1,,0,,0,0,,0,60}
{!40000|Att_contlinestyle Graph_pdf_valdim:6}
[Areas_in_england_and]
[Areas_in_england_and,Areas_in_england_and,Undefined,Undefined,1]
[]
[1,0,0,0]
[Variable Excess_cases_of_ime2]
[2,1,4,4,4,0]
Areas in England and Wales
['ang','bou','brw','caw','cho','dcc','eas','ess','fol','har','mik','nor','nww','por','sea','sev','sos','sou','sww','teh','tha','thr','wes','wrx','yor']
64,64,1
48,29
2,0,-23,1433,792
['ang','bou','brw','caw','cho','dcc','eas','ess','fol','har','mik','nor','nww','por','sea','sev','sos','sou','sww','teh','tha','thr','wes','wrx','yor']
Total daily ingestion of nitrates in drinking water by infants < 6 months in England and Wales
mg/kg/d
A*Total_daily_consump/ Weight
216,320,1
68,40
2,0,-23,1441,800
2,0,-23,1440,799,0,MIDM
2,0,-23,1440,799,1,MIDM
{!40000|Graph_keylabelcolor:0,0,0}
{!40000|Graph_keytextcolor:0,0,0}
{!40000|Graph_axislabelcolor:0,0,0}
{!40000|Graph_axistitlecolor:0,0,0}
{!40000|Graph_pagebrush:65280,65280,65280}
{!40000|Att_catlinestyle Graph_primary_valdim:9}
[]
[]
1,,,,,,10
[Water_source,1,Age_group,1,Country,1,Data,1]
[Data,1,Country,1,Water_source,1]
Total daily consumption of drinking water by infants < 6 months
l/day
Lognormal( , , 0.240, 0.800 )
280,192,1
96,36
2,0,-23,1441,800
2,0,-23,1433,792,0,STAT
[Variable Excess_cases_of_ime2]
http://rais.ornl.gov/homepage/DRAFT_EXPOSURE_HANDBOOK.pdf
Weight
kg
Distribution of weight for infants < 6 months of age
Lognormal( , , 5, 2 )
128,192,1
48,24
2,0,-23,1441,800
2,392,402,416,303,1,PDFP
[1,0,0,0]
[Variable Excess_cases_of_ime2]
Slope of exposure-response function for nitrate and iMetHb
mg/kg/d
Nitrate toxicity value for infants
U.S. EPA has evaluated the noncancer oral data for nitrate and derived a reference dose (RfD) of 1.6 mg/kg-day with 10 % of risk to MetHb.
0.065850
448,192,1
68,38
2,0,-23,1281,953
2,0,-23,1440,799,0,MIDM
2,0,-23,1440,799,1,MIDM
[]
[]
[Variable Excess_cases_of_ime2]
Probability bands for ingestion of nitrates in drinking water by infants < 6 months in England and Wales
ProbBands(Total_daily_ingestio)
216,448,1
68,48
2,0,-23,1280,952,1,MIDM
[Areas_in_england_and,Undefined]
[Sys_localindex('PROBABILITY'),2,Areas_in_england_and,1]
Probability bands for excess rate of iMetHb in England and Wales
ProbBands(Excess_rate_of_imet1)
448,448,1
48,46
2,0,-23,1281,953,1,MIDM
[Areas_in_england_and,Undefined]
[Sys_localindex('PROBABILITY'),2,Areas_in_england_and,1]
Probability bands for excess cases of iMetHb in England and Wales
ProbBands(Excess_cases_of_imet)
768,448,1
48,46
2,0,0,1281,953,0,MIDM
[Areas_in_england_and,Undefined]
[Sys_localindex('PROBABILITY'),3,Areas_in_england_and,1]
Probability bands for [NO3-] in drinking water in England & Wales
ProbBands(A)
64,448,1
56,40
2,0,-23,1281,953,1,MIDM
Probindex:[0.05, 0.5, 0.95 ]
[Areas_in_england_and,Undefined]
[Sys_localindex('PROBABILITY'),2,Areas_in_england_and,1]
Importance analysis
pmea
5. syyta 2008 9:59
48,24
960,72,1
48,24
1,0,1,1,1,1,0,,0,
1,0,-23,1440,799,17
Excess cases of iMetHb in England and Wales Importance
Abs( RankCorrel( Excess_cases_of_ime2, Excess_cases_of_imet ) )
288,96,1
48,46
1,1,1,1,1,1,0,0,0,0
2,0,-23,1440,799,1,MIDM
Flip:8
[Excess_cases_of_ime2,Undefined]
[Index Areas_in_england_and]
[Areas_in_england_and,-1,Excess_cases_of_ime2,1]
Excess cases of iMetHb in England and Wales Inputs
[ Background_prelevanc, Percentage_of_bottle, A, Total_daily_consump, Weight, Slope_of_exposure_re]
['Background prelevance of iMetHb','Percentage of bottle fed infants','[NO3-] in drinking water in England and Wales','Total daily consumption of drinking water by infants < 6 months','Weight','Slope of exposure-response function for nitrate and iMetHb']
96,96,1
48,38
1,1,1,1,1,1,0,0,0,0
[Background_prelevanc,Percentage_of_bottle,A,Total_daily_consump,Weight,Slope_of_exposure_re]
Te2
These variables defined using author judgement
280,176,-1
100,56
1,0,0,1,0,1,0,,0,
Conceptual model
ktluser
10. huhta 2008 12:14
48,24
960,128,1
48,24
1,4,31,1185,552,17
Attributable burden of disease to nitrates in drinking water
{Daly_valuation};
{Concentration_of_ni
984,264,1
60,28
[Variable Background_prevalen2, Objective Total_met_hb_mortal3]
[Objective Dalys_and_or_financ2]
Background prevalence of Met-Hb
[1]
984,328,1
64,20
2,0,-23,1152,763
[Objective Attributable_burden2]
Concentration of nitrates in drinking water from private supply
0
384,272,1
60,32
[Variable Concentration_of_ni7, Variable Removal_of_nitrates1]
[Variable Total_daily_consump7]
Concentration of nitrates in drinking water from public supply
[1,Raw_water_quality1,Concentration_of_ni6,Concentration_of_ni7,Removal_of_nitrates1]
544,112,1
72,28
[Variable Total_daily_consump6]
Concentration of nitrates in surface water
Lognormal( 1 )
232,112,1
48,32
2,166,180,476,224
[Constant Usage_of_nitrate_fe3]
Concentration of nitrates in ground water
[1,Usage_of_nitrate_fe3]
232,272,1
48,32
[Variable Concentration_of_ni4]
Daily consumption of bottled water by infacts <6 months
[1,Daily_sales_of_bott2]
784,184,1
48,32
[Variable Total_daily_consump6, Variable Total_daily_consump7]
Daily sales of bottled water
888,440,1
48,28
DALYs and/or financial costs
{Dbp_dalys};
{Mirobes_dalys}
1112,264,1
48,28
[Objective Attributable_burden2, Variable Daly_and_or_cost_we2]
DALY and/or cost weightings
0
1112,112,1
48,32
[Objective Dalys_and_or_financ2]
Drinking water legistation and guidance levels on nitrates
5
96,272,1
68,32
Exposure-response function
{Chlorination};
{Dose_response_of_mi;
Water_treatment_meth
992,112,1
64,28
[Objective Total_met_hb_mortal3]
Population using private water supplies
736,440,1
48,29
[Variable Total_daily_consump7]
Population demanding safe, wholesome and clean drinking water supply
0
96,112,1
68,32
Proportion of boiled drinking water
0
680,184,1
40,32
Raw water quality
chemical and microbial quality of raw water
[1]
384,440,1
52,28
Removal of nitrates by treatment
{Dbp_exposure_via_dr;
Dbp_exposure_via_oth;
Dose_response_of_dbp
544,376,1
72,24
[Variable Standard_for_nitrat3, Constant Water_treatment_met3]
[Variable Concentration_of_ni4]
Standard for nitrates
[1,Drinking_water_legi2]
96,376,1
64,24
2,0,0,1025,668
[Variable Removal_of_nitrates1]
Te1
Actions
88,48,-1
48,24
Te1
Sources
232,48,-1
48,24
Te1
Media
368,48,-1
48,24
Te1
Exposure
704,48,-1
48,24
Te1
Impacts
992,48,-1
44,24
Te1
Valuation
1104,48,-1
48,24
Total daily consumption of drinking water from public supply by infants < 6 months
0
728,112,1
92,28
[Variable Concentration_of_ni5, Variable Daily_consumption_o2]
Total daily consumption of privately supplied drinking water by infacts < 6 months
1
736,376,1
100,24
2,102,90,476,224
[Variable Concentration_of_ni4, Variable Daily_consumption_o2, Constant Population_using_pr2]
Total ingestion of nitrates in drinking water by infacts < 6 months
[1,Total_daily_consump6,Total_daily_consump7,Proportion_of_boile2,Population_demandin2]
728,264,1
92,24
2,102,90,476,224
[Objective Total_met_hb_mortal3]
Total met-Hb mortality and morbidity due to nitrates in drinking water
{Daly_valuation};
{Dbp_health_effects}
984,184,1
64,32
[Variable Exposure_response_f1, Variable Total_ingestion_of_3]
[Objective Attributable_burden2]
Usage of nitrate fertilisers in catcment
216,440,1
48,29
[Chance Concentration_of_ni6]
Water treatment method
none
water treatment methods
[1]
544,440,1
48,28
2,0,0,1025,668
[Variable Removal_of_nitrates1]
Instructions
ktluser
11. kesta 2008 12:21
48,24
960,184,1
48,24
1,0,0,1440,799,1
Arial Narrow, 13
Te8
This model is built for INTARESE project, WP3.4. The risk assessment behind the model is on INTARESE wiki http://heande.pyrkilo.fi/heande/index.php/Risk_assessment_of_nitrate_in_drinking_water
This model uses 2003 data when appropriate and possible
256,96,-1
184,68
Original data 3R1B
Contains data that comes from a referrable source. The reference must be mentioned in the Reference attribute. Colour 3R1B.
1
232,504,1
48,24
2,102,90,476,516
65535,52427,65534
Author judgement 4R2B
Contains data that comes from a non-referrable source, i.e. some general knowledge or author judgement. Colour 4R2B.
1
232,560,1
48,24
52425,39321,65535
Log 4L3B
Contains information about general issues related to the structure and content of a model. Text is written to Description. Each addition is started with the date and the name of the user. The title of the node is Loki n or Log n (n=version number of the model). You should not write information related to a particular node, that should be written in the node itself so that the information will be inherited with the node. Colour 4L3B.
1
120,632,1
48,24
65535,54067,19661
Argument (claim) 2L3B
Argument about a node, data, or relationship in a model; or a description of its importance. Colour: automatic (2L3B).
1
344,448,1
48,24
65535,31131,19661
Causal node 8R3B
This is the basic building block of an Analytica model. It is a variable that defines a (typically) measurable entity. Usually it is calculated based on data on and relationships about its causes.
1
232,448,1
48,24
Module
6R3B
Modules are used to create a hierarchical structure. Modules may contain nodes and other modules inside them.
mtad
16. Aprta 2003 12:56
48,24
120,584,1
48,24
1,40,0,505,406,17
Conclusion
6L3B
A conclusion is basically an argument. The colour is used to enhance the fact that the data for this argument originates from the results of the model. Colour 6L3B.
1
344,560,1
48,24
2,44,90,476,224
65535,65532,19661
Index 5R2B
Index related to the node beside it. Indexes should be as close as possible to the place where they are used. Otherwise there is the risk of a connection brake. Colour: automatic (5R2B).
[0]
120,484,1
48,24
2,341,157,476,224
Te6
Colour description: xLyT describes the coordinates in the colour palette, xth cell from left and yth cell from top. Directions are L left, R right, T top, B bottom, e.g. 1R1B is the right bottom cell.
560,480,-1
112,44
Decision
9L3B
Decision mode defines a decision under analysis. Other decisions (such as those decided by someone else) can be defined as uncertain variables instead of decisions.
0
120,448,1
48,24
Outcome
1R3B
Outcome of interest. The optimisation of this variable is often defined as the criteria for choosing between decision options.
0
120,528,1
48,24
Chance
11L4B
An uncertain variable that is defined as a probability distribution.
0
232,616,1
48,24
Preference
8L4B
A value or preference. Colour 8L4B.
0
344,616,1
48,24
5,65535,1
Introduction to pyrkilo diagrams
Pyrkilo diagram method (or structured deliberation as it is sometimes called) has been developed to facilitate the Science-Policy Interface.
There is a need for methods facilitating the flow of information and understanding between science and policy. The principle is to describe a risk situation in a formal manner. Pyrkilo is an enhanced causal diagram that contains items along a causal pathway (or network) from e.g. abatement strategies to emissions to dispersion to exposure to effects. It has been designed to describe also other than causal connections such as non-causal reasoning, values, preferences, and arguments.
These diagrams use Analytica(TM) platform, a graphical Monte Carlo simulation program. It is based on nodes (or variables or objects). They are used to describe and define all the pieces needed for a description of the situation under scrutiny.
Many nodes are used as described in Analytica manuals. However, there are also special colours and shapes representing features that are important for pyrkilo diagrams. See Description of each node for more details. You can see the definitions and descriptions by clicking or double-clicking the nodes.
472,231,-1
400,87
2,402,92,530,558
Scope
2L3B
A scope node is basically an argument. The bevel is used to enhance the fact that the argument is about the scope of the model, (i.e. about the existence of a node or module). Colour: automatic (2L3B).
1
344,504,1
48,24
1,1,1,1,1,1,0,,1,
65535,31131,19661