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. 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 2 0 -1460 9 Focus+scope Moderator References INTARESE WP3.4 PM 14. jouta 2006 16:17 pmea 2. syyta 2008 16:28 48,24 1,0,0,1284,778,17 2,102,90,476,224 Arial Narrow, 13 0,Model Intarese_wp3_4,2,2,0,1,C:\Documents and Settings\pmea\Desktop\Nitrate.ANA Risk model Päivi 11. tamta 2008 10:45 48,24 176,48,1 48,24 1,1,7,448,245,17 Exposure model ktluser 28. maata 2008 10:20 48,24 72,144,1 48,24 1,0,-23,1440,799,17 Total daily consumption of drinking water by infants < 6 months l/day Truncate(Normal (0.240, 0.247), 0, 0.800) 128,64,1 96,36 2,0,-23,1433,792 2,0,-23,1433,792,0,STAT [] http://rais.ornl.gov/homepage/DRAFT_EXPOSURE_HANDBOOK.pdf Total daily ingestion of nitrates in drinking water by infants < 6 months mg/kg/d No3_drinking_water*Total_daily_consump/ Weight 112,232,1 52,46 2,0,-23,1440,799 2,0,-23,1440,799,0,MIDM 2,261,349,648,394,1,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} [Water_source,Country] [Water_source,Country] [] 1,,,,,,10 Ktl1 [Water_source,1,Age_group,1,Country,1,Data,1] [Data,1,Country,1,Water_source,1] Weight kg Distribution of weight for infants < 6 months of age Normal( 5, 2,5 ) 296,72,1 48,24 2,0,-23,1433,792 2,392,402,416,303,1,PDFP [1,0,0,0] Annual per capita bottled water consumption Table(Country,Bottled_water_scena2) 704,176,1 52,40 2,0,-23,1440,799 2,0,744,1432,791,0,MIDM [Clipboard_bottled_wa,Country] [Constant Bottled_water_exposu] [36] Daily per capita bottled water consumption Annual_per_cap/365.25 704,280,1 52,40 [Chance Total_tap_water_con1] Daily per capita total water consumption 2 704,376,1 52,39 [Chance Total_tap_water_con1] Total tap water consumption (Triangular(0.5,{Daily_per_capita))*(1-Triangular(0,({Daily_per_cap*Daily_per_capita),1) 704,480,1 60,40 2,0,-23,1432,791 2,152,162,416,303,1,PDFP Diststeps:0 [Undefined,Undefined,Undefined,1] [Variable Daily_per_cap, Variable Daily_per_capita] [Variable Exposure_adjustment1] [1,0,0,0] Exposure adjustment factor 704,584,1 48,31 2,0,-23,1432,791 2,564,578,573,303,0,MIDM [Chance Total_tap_water_con1] Bottled water exposure 704,96,1 48,24 [Variable Annual_per_cap] Bottled water not yet included in the assessment 720,320,-1 116,308 1,0,0,1,0,1,0,,0, KTL {!40000|Att_catlinestyle Graph_primary_valdim:9} {!40000|Graph_pagebrush:0,40192,40192,2,16,6656,30464,27904} {!40000|Graph_axislabelfont:,12,1} {!40000|Graph_axistitlecolor:65280,65280,65280} {!40000|Graph_axislabelcolor:65280,65280,65280} {!40000|Graph_keytextcolor:65280,65280,65280} {!40000|Graph_keylabelcolor:65280,65280,65280} {!40000|Graph_colorseq:[63.232K, 51.2K, 29.44K, 33.792K, 58.88K, 48.128K, 48.896K, 43.52K, 46.592K, 57.344K, 62.208K, 30.208K, 35.584K, 47.872K, 56.832K, 65.024K, 35.072K, 27.392K, 44.032K, 61.184K, 28.672K, 37.888K, 43.008K, 54.784K, 54.784K, 42.24K, 37.888K, 50.176K, 49.664K, 42.496K, 6656, 23.296K, 62.464K, 65.024K, 63.232K, 27.392K, 61.696K, 30.72K, 59.392K ]} Total daily ingestion of nitrates in drinking water by infants < 6 months in UK mg/kg/d No3_uk*Total_daily_consump/ Weight 240,232,1 52,46 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,261,349,648,394,1,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} [Water_source,Country] [Water_source,Areas_in_uk] 1,,,,,,10 Ktl1 [Water_source,1,Age_group,1,Country,1,Data,1] [Data,1,Country,1,Water_source,1] Total daily ingestion of nitrates in drinking water by infants < 6 months in Finland mg/kg/d No3_finland*Total_daily_consump/ Weight 360,232,1 52,46 2,0,-23,1280,689 2,0,-23,1440,799,0,MIDM 2,262,186,648,394,0,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} [Water_source,Country] [Water_source,Areas_finland] 1,,,,,,10 Ktl1 [Water_source,1,Age_group,1,Country,1,Data,1] [Data,1,Country,1,Water_source,1] Health effects ktluser 28. maata 2008 10:20 48,24 72,312,1 48,24 1,0,-23,1440,799,17 Data ['Distribution','Average','Max'] 496,96,1 48,24 Excess rate of iMetHb No units (exp(Slope_of_exposure_re*Total_daily_ingestio)-1) 64,176,1 48,31 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,40,50,511,345,1,MIDM [Water_source,Country] [Areas_in_uk,Water_source] [Object Variable, Chance No3_drinking_water] [1,0,0,0] [Scenarios,1,Water_companies,1,Sys_localindex('STEP'),1] Excess cases of iMetHb No units Excess_rate_of_imeth*Infants__6_months*Background_prelevanc/100000*Percentage_of_bottle 208,176,1 48,40 2,0,-23,1441,800 2,0,-23,1441,800,1,MIDM {!40000|Att_contlinestyle Graph_pdf_valdim:6} {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,0} [Country,Water_source,Undefined,Undefined,1] [Index Age_categories1] [1,0,0,0] [Areas_finland,4,Areas_in_uk,19,Water_source,1,Country,1] Health risk estimates for infant MetHb No units 1-2. Hazard quotient (HQ) = Ingestion exposure = Daily NO3 intake / Reference NO3 intake Reference intake = A level of daily metal intake at or below which adverse health effects are unlikely to occur, includes a safety factor TDI = Tolerable daily intake (RIVM) RfD = Reference dose (U.S.EPA) ADI = Acceptable daily intake (U.S.EPA) 3-4. Margin of safety (MOS) MOS for ingestion exposure = NOAEL (or LOAEL) / Daily NO3 intake NOAEL = No observed adverse effect level (no safety factors included) LOAEL = Lowest observed adverse effect level (no safety factors included) 5. Health risk estimates based on EQC Table(Risk_characterisatio)( Total_daily_ingestio/Reference_oral_dose,Total_daily_ingestio/Acceptable_daily_int,Noael/Total_daily_ingestio,Loael/Total_daily_ingestio,No3_drinking_water/Environmental_risk) 72,32,1 48,29 2,0,-23,1441,800 2,349,322,614,272,0,MIDM 2,0,-23,1441,800,1,MIDM [Risk_characterisatio,Country] [Country,Risk_characterisatio] [0,0,0,0] 1,,,,,,10 [Areas_finland,3,Areas_in_uk,12,Water_source,2,Risk_characterisatio,1,Country,1] [Water_source,1,Country,1,Risk_characterisatio,1] Risk characterisation ['HQ calculation: TCA/RfD','HQ calculation: TCA/ADI','MOS calculation: NOAEL/Daily NO3 intake','MOS calculation: LOAEL/Daily NO3 intake','EQC'] 496,152,1 48,24 2,627,95,476,224 ['HQ calculation: TCA/RfD','HQ calculation: TCA/ADI','MOS calculation: NOAEL/Daily NO3 intake','MOS calculation: LOAEL/Daily NO3 intake','EQC'] Infants <6 months No units Number of infants < 6 months in each country Population_age[Age_categories1='0-4']/8 360,224,1 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 per country No units Table(Country,Age_categories1)( 287K,322K,323K,329K,326K,312K,335K,377K,378K,399K,421K,326K,274K,225K,212K,166K,104K,79.7K, 3.49M,3.74M,3.88M,3.67M,3.55M,3.87M,4.49M,4.63M,4.15M,3.74M,4.04M,3.34M,2.88M,2.6M,2.34M,1.97M,1.31M,1.12M, 1.92M,1.91M,2.1M,2.46M,3.18M,3.5M,3.38M,3.29M,3.03M,2.61M,2.43M,2.21M,1.85M,2.09M,1.85M,1.44M,875K,705K, 488K,582K,624K,669K,809K,787K,701K,609K,708K,824K,705K,609K,535K,490K,437K,339K,154K,126K, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ) 360,152,1 48,29 2,0,-23,1440,799 2,0,-23,1440,799,0,MIDM 2,136,148,419,484,0,MIDM [Country,Age_categories1] [Country,Age_categories1] Background prelevance of iMetHb Background prelevance of iMetHb UNKNOWN CURRENTLY!!!!!!!!!! Lognormal( , , 1.0, 0.0 ) 360,384,1 48,29 2,0,-23,1440,799 2,0,-23,1440,799,1,MEAN [0,1,0,1] 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'] 504,40,1 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 ) 360,304,1 48,24 2,0,-23,1433,792 2,40,50,416,303,1,PDFP [1,0,0,0] Health risk estimates for infant MetHb in UK No units 1-2. Hazard quotient (HQ) = Ingestion exposure = Daily NO3 intake / Reference NO3 intake Reference intake = A level of daily metal intake at or below which adverse health effects are unlikely to occur, includes a safety factor TDI = Tolerable daily intake (RIVM) RfD = Reference dose (U.S.EPA) ADI = Acceptable daily intake (U.S.EPA) 3-4. Margin of safety (MOS) MOS for ingestion exposure = NOAEL (or LOAEL) / Daily NO3 intake NOAEL = No observed adverse effect level (no safety factors included) LOAEL = Lowest observed adverse effect level (no safety factors included) 5. Health risk estimates based on EQC Table(Risk_characterisatio)( Total_daily_ingesuk/Reference_oral_dose,Total_daily_ingesuk/Acceptable_daily_int,Noael/Total_daily_ingesuk,Loael/Total_daily_ingesuk,No3_uk/Environmental_risk) 184,40,1 48,38 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,0,-23,1441,800,1,MIDM [Risk_characterisatio,Country] [Areas_in_uk,Risk_characterisatio] [0,0,0,0] [Water_source,1,Risk_characterisatio,1,Areas_in_uk,1] [Water_source,1,Country,1,Risk_characterisatio,1] Health risk estimates for infant MetHb in Finland No units 1-2. Hazard quotient (HQ) = Ingestion exposure = Daily NO3 intake / Reference NO3 intake Reference intake = A level of daily metal intake at or below which adverse health effects are unlikely to occur, includes a safety factor TDI = Tolerable daily intake (RIVM) RfD = Reference dose (U.S.EPA) ADI = Acceptable daily intake (U.S.EPA) 3-4. Margin of safety (MOS) MOS for ingestion exposure = NOAEL (or LOAEL) / Daily NO3 intake NOAEL = No observed adverse effect level (no safety factors included) LOAEL = Lowest observed adverse effect level (no safety factors included) 5. Health risk estimates based on EQC Table(Risk_characterisatio)( Total_daily_ingesfin/Reference_oral_dose,Total_daily_ingesfin/Acceptable_daily_int,Noael/Total_daily_ingesfin,Loael/Total_daily_ingesfin,No3_finland/Environmental_risk) 304,40,1 48,38 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,0,-23,1441,800,1,MIDM [Risk_characterisatio,Country] [Risk_characterisatio,Water_source] [0,0,0,0] [Water_source,1,Risk_characterisatio,1,Areas_finland,1] [Water_source,1,Country,1,Risk_characterisatio,1] Excess cases of iMetHb in UK No units Excess_rate_of_imet1*Infants__6_months*Background_prelevanc/100000*Percentage_of_bottle 216,280,1 48,40 2,0,-23,1441,800 2,0,-23,1441,800,1,MIDM {!40000|Att_contlinestyle Graph_pdf_valdim:6} {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,0} [Areas_in_uk,Water_source,Undefined,Undefined,1] [Index Age_categories1] [1,0,0,0] [Areas_finland,3,Areas_in_uk,19,Water_source,1,Country,1] Excess rate of iMetHb No units (exp(Slope_of_exposure_re*Total_daily_ingesuk)-1) 64,280,1 48,31 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,40,50,581,368,1,MIDM [Water_source,Country] [Areas_in_uk,Water_source] [Object Variable, Chance No3_drinking_water] [1,0,0,0] [Scenarios,1,Water_companies,1,Sys_localindex('STEP'),1] Excess rate of iMetHb No units (exp(Slope_of_exposure_re*Total_daily_ingesfin)-1) 64,376,1 48,31 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM 2,40,50,511,345,1,MIDM [Water_source,Country] [Areas_finland,Water_source] [Object Variable, Chance No3_drinking_water] [1,0,0,0] [Scenarios,1,Water_companies,1,Sys_localindex('STEP'),1] Excess cases of iMetHb in Finland No units Excess_rate_of_imet2*Infants__6_months*Background_prelevanc/100000*Percentage_of_bottle 224,376,1 48,40 2,0,-23,1441,800 2,0,-23,1441,800,1,MIDM {!40000|Att_contlinestyle Graph_pdf_valdim:6} {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,0} [Areas_finland,Water_source,Undefined,Undefined,1] [Index Age_categories1] [1,0,0,0] [Country,1,Water_source,1,Areas_finland,4] These variables still unknown 360,376,-1 60,104 1,0,0,1,0,1,0,,0, Dose response model ktluser 28. maata 2008 10:20 48,24 72,232,1 48,24 1,0,-23,1441,800,17 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. Normal( 0.06585 ) 96,56,1 68,38 2,-127,2,1432,791 2,0,-23,1440,799,0,MIDM 2,0,-23,1440,799,1,MIDM [Water_source,Country] [Data,Country] [] Environmental risk level for NO3- mg/l Risk level for nitrate Truncate( Normal(100,50), 100, 1000 ) 96,136,1 48,29 2,0,0,1433,792 LOAEL for NO3- mg/l LOAEL: 11-20 mg nitrate- nitrogen/L (1.8-3.2 mg/kg/day) Uniform( 11, 20 ) 96,280,1 48,24 2,316,129,388,210 NOAEL for NO3- mg/kg/d No observed adverded effect level (NOEL) for nitrate in drinking water NOAEL: 10 mg nitrate-nitrogen/L (1.6 mg/kg/day) Early clinical signs of methemoglobinemia in excess of 10% (0-3 months old infants formula) Human Epidemiological Surveys Bosch et al., 1950; Walton, 1951 USEPA Iris http://www.epa.gov/NCEA/iris/subst/0076.htm Normal( 1.6, 16 ) 96,208,1 48,24 2,0,0,1433,792 2,0,-23,1440,799,1,PDFP [1,0,0,0] Reference Oral dose for NO3- mg/kg/day US EPA reference oral dose for nitrate 7 96,344,1 48,24 2,0,0,1433,792 Acceptable daily intake of NO3- mg/kg/day Exposure response function (acceptable daily intake according to FAO/WHO) 3.7 96,408,1 48,24 2,102,90,476,224 Sources ktluser 28. maata 2008 10:20 48,24 72,64,1 48,24 1,1,0,448,245,17 Country ['Finland','UK','Spain','Hungary','Romania'] 248,248,1 48,24 2,0,-143,1433,792 ['Finland','UK','Spain','Hungary','Romania'] 1,,,,,,10 Water source Drinking water sources: Treated tap water or untreated water from private well ['Tap water','Well water'] 256,184,1 48,24 ['Tap water','Well water'] 1,,,,,,10 [NO3-] in drinking water mg/l <a href="htpp://heande.pyrkilo.fi/heande/index.php./Nitrate_concentration_in_drinking_water">Click here</a> Table(Country)( If Concentration_in_fin="0" then General else Concentration_in_fin,If Concentration_in_uk="0" then General else Concentration_in_uk,General,General,General) 96,496,1 56,32 2,0,-23,1072,555 2,0,-23,1440,799,0,MIDM 2,370,2,1003,398,0,MIDM {!40000|Graph_outlinekey:0} {!40000|Att_catlinestyle Graph_primary_valdim:9} Baroverlap:0 [Water_source,Country] [Country,Water_source,0] [Objective Excess_rate_of_imeth, Objective Excess_rate_of_imet1, Objective Excess_rate_of_imet2] [0,0,0,0] [Areas_finland,3,Areas_in_uk,24,Water_source,2,Country,1] General [NO3-] concentration in drinking water mg/l Table(Country,Water_source)( LogNormal (3.5,,,2.890100097),Triangular (0,2,150), LogNormal (18.243662,,,7.239254474),Triangular (0,2,150), LogNormal (5.7,,,2.6),Triangular (0,2,150), LogNormal(72,,,,),Triangular (0,2,150), LogNormal (1.5975,,,0.64),Triangular (0, 140.5, 1185) ) 232,376,1 48,38 2,102,90,476,224 2,40,50,632,318,0,MIDM 2,0,-23,1440,799,0,MIDM [Water_source,Country] [Water_source,Country] [1,0,0,0] Areas Finland ['Etela-Suomi','Ita-Suomi','Lansi-Suomi','Pohjois-Suomi'] 272,64,1 48,24 2,0,-23,1433,792 ['Etela-Suomi','Ita-Suomi','Lansi-Suomi','Pohjois-Suomi'] Concentration in drinking water in Finland mg/l Finnish data from 2002 Table(Water_source,Areas_finland)( LogNormal(3.5,,,2.890100097),LogNormal(0.75,,,2.321291205),LogNormal(1,,,0.961304917),LogNormal(0.5,,,0.597614305), 0,0,0,0 ) 96,64,1 48,29 2,0,-23,1440,799 2,0,-23,1440,799,0,MIDM 2,0,0,1422,791,0,MIDM [Water_source,Areas_finland] [Water_source,Areas_finland] [1,0,0,0] Concentration in drinking water in UK mg/l Concentration of NO3- in drinking water in UK (2001) Table(Water_source,Areas_in_uk)( LogNormal (18.9,,, 2.34),LogNormal(26.25,,, 2.34),LogNormal (16.35,,,10.9),LogNormal (38.85,,,0.9),LogNormal (34.071,,,0),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), 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ) 96,120,1 48,29 2,0,-23,1440,799 2,0,-23,1422,791,0,MIDM 2,0,0,1422,791,0,MIDM {!40000|Att_catlinestyle Graph_primary_valdim:9} {!40000|Att_graphvaluerange Concentration_in_uk:1,,1,,,,,0,1} [Water_source,Areas_in_uk] [Water_source,Areas_in_uk] [Index Water_source] [1,0,0,0] [2,1,4,4,4,0] Areas in UK ['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'] 264,128,1 48,24 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'] Concentration in drinking water in Spain mg/l Concentration of NO3- in drinking water in Spain 0 96,176,1 48,29 2,0,-23,1422,791 2,0,-23,1422,791,0,MIDM 2,0,-23,1422,791,1,MIDM {!40000|Att_catlinestyle Graph_primary_valdim:9} {!40000|Att_graphvaluerange Concentration_in_uk:1,,1,,,,,0,1} [Water_source,Areas_in_uk] [Water_source,Areas_in_uk] [2,1,4,4,4,0] Concentration in drinking water in Hungary mg/l Concentration of NO3- in drinking water in Hungary 0 96,232,1 48,29 2,0,-23,1422,791 2,0,-23,1422,791,0,MIDM 2,0,-23,1422,791,1,MIDM {!40000|Att_catlinestyle Graph_primary_valdim:9} {!40000|Att_graphvaluerange Concentration_in_uk:1,,1,,,,,0,1} [Water_source,Areas_in_uk] [Water_source,Areas_in_uk] [2,1,4,4,4,0] Concentration in drinking water in Romania mg/l Concentration of NO3- in drinking water in Romania 0 96,288,1 48,29 2,0,-23,1422,791 2,0,-23,1422,791,0,MIDM 2,0,-23,1422,791,1,MIDM {!40000|Att_catlinestyle Graph_primary_valdim:9} {!40000|Att_graphvaluerange Concentration_in_uk:1,,1,,,,,0,1} [Water_source,Areas_in_uk] [Water_source,Areas_in_uk] [2,1,4,4,4,0] No3 Finland slice(No3_drinking_water,Country,1) No3_drinking_water[Country='Finland',Areas_in_uk='ang'] 248,496,1 48,24 2,0,-23,1280,689 2,0,-23,1280,689,1,MIDM [Areas_finland,Water_source] NO3 UK No3_drinking_water[Country='UK',Areas_finland='Etela-Suomi'] 216,576,1 48,24 2,524,386,476,224 [Water_source,Areas_in_uk] Conceptual model ktluser 10. huhta 2008 12:14 48,24 56,48,1 48,24 1,4,31,1185,552,17 Attributable burden of disease to nitrates in drinking water {Daly_valuation}; {Concentration_of_ni 976,256,1 60,28 [Variable Background_prevalen2, Objective Total_met_hb_mortal3] [Objective Dalys_and_or_financ2] Background prevalence of Met-Hb [1] 976,320,1 64,20 2,0,-23,1152,763 [Objective Attributable_burden2] Concentration of nitrates in drinking water from private supply 0 376,264,1 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] 536,104,1 72,28 [Variable Total_daily_consump6] Concentration of nitrates in surface water Lognormal( 1 ) 224,104,1 48,32 2,166,180,476,224 [Constant Usage_of_nitrate_fe3] Concentration of nitrates in ground water [1,Usage_of_nitrate_fe3] 224,264,1 48,32 [Variable Concentration_of_ni4] Daily consumption of bottled water by infacts <6 months [1,Daily_sales_of_bott2] 776,176,1 48,32 [Variable Total_daily_consump6, Variable Total_daily_consump7] Daily sales of bottled water 880,432,1 48,28 DALYs and/or financial costs {Dbp_dalys}; {Mirobes_dalys} 1104,256,1 48,28 [Objective Attributable_burden2, Variable Daly_and_or_cost_we2] DALY and/or cost weightings 0 1104,104,1 48,32 [Objective Dalys_and_or_financ2] Drinking water legistation and guidance levels on nitrates 5 88,264,1 68,32 Exposure-response function {Chlorination}; {Dose_response_of_mi; Water_treatment_meth 984,104,1 64,28 [Objective Total_met_hb_mortal3] Population using private water supplies 728,432,1 48,29 [Variable Total_daily_consump7] Population demanding safe, wholesome and clean drinking water supply 0 88,104,1 68,32 Proportion of boiled drinking water 0 672,176,1 40,32 Raw water quality chemical and microbial quality of raw water [1] 376,432,1 52,28 Removal of nitrates by treatment {Dbp_exposure_via_dr; Dbp_exposure_via_oth; Dose_response_of_dbp 536,368,1 72,24 [Variable Standard_for_nitrat3, Constant Water_treatment_met3] [Variable Concentration_of_ni4] Standard for nitrates [1,Drinking_water_legi2] 88,368,1 64,24 2,0,0,1025,668 [Variable Removal_of_nitrates1] Te1 Actions 80,40,-1 48,24 Te1 Sources 224,40,-1 48,24 Te1 Media 360,40,-1 48,24 Te1 Exposure 696,40,-1 48,24 Te1 Impacts 984,40,-1 44,24 Te1 Valuation 1096,40,-1 48,24 Total daily consumption of drinking water from public supply by infants < 6 months 0 720,104,1 92,28 [Variable Concentration_of_ni5, Variable Daily_consumption_o2] Total daily consumption of privately supplied drinking water by infacts < 6 months 1 728,368,1 100,24 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] 720,256,1 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} 976,176,1 64,32 [Variable Exposure_response_f1, Variable Total_ingestion_of_3] [Objective Attributable_burden2] Usage of nitrate fertilisers in catcment 208,432,1 48,29 [Chance Concentration_of_ni6] Water treatment method none water treatment methods [1] 536,432,1 48,28 2,0,0,1025,668 [Variable Removal_of_nitrates1] Instructions ktluser 11. kesta 2008 12:21 48,24 56,104,1 48,24 1,0,-23,1440,799,1 Arial Narrow, 13 This model is built for INTARESE project, WP3.4. The risk assessment behind the model is on INTARESE wiki http:// www.pyrkilo.fi/intarese. This model uses 2001 data when appropriate and possible 248,88,-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. 1 224,496,1 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. 1 224,552,1 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. 1 112,624,1 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). 1 336,440,1 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. 1 224,440,1 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 48,24 112,576,1 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. 1 336,552,1 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] 112,476,1 48,24 2,341,157,476,224 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. 552,472,-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. 0 112,440,1 48,24 Outcome 1R3B Outcome of interest. The optimisation of this variable is often defined as the criteria for choosing between decision options. 0 112,520,1 48,24 Chance 11L4B An uncertain variable that is defined as a probability distribution. 0 224,608,1 48,24 Preference 8L4B A value or preference. Colour 8L4B. 0 336,608,1 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. 464,223,-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). 1 336,496,1 48,24 1,1,1,1,1,1,0,,1, 65535,31131,19661 Importance and sensitivity analysis pmea 26. elota 2008 9:09 48,24 176,104,1 48,29 1,0,-23,1280,689,17 Excess cases of iMetHb attributable to nitrate Importance Abs(RankCorrel(Excess_cases_of_ime1,Excess_cases_of_imet)) 192,104,1 48,46 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM [Country,Areas_in_uk] Excess cases of iMetHb attributable to nitrate Inputs [Average(Average(Concentration_in_fin)),Average(Average(Concentration_in_uk)),Average(Average(Concentration_in_spa)),Average(Average(Concentration_in_rom)),Average(Average(Concentration_in_hun)),'General','Total_daily_consump','Slope_of_exposure_re','Environmental_risk','Noael','Loael','Reference_oral_dose','Acceptable_daily_int','Acceptable_daily_int','Acceptable_daily_int','Average(Average(Concentration_in_fin,well))',Average(Average(General))] 72,104,1 48,38 2,0,-23,1440,799 2,0,-23,1441,800,0,MIDM [Self,Areas_finland] [0,1,1,0] The result of this variable returns a rank correlation of importance for all the uncertain variables in the model. 136,208,-1 132,184 1,0,0,1,0,1,0,,0, Excess cases of iMetHb attributable to nitrate Inputs ['item 1', 'item 2', 'item 3', 'item 4', 'item 5', 'General', 'Total_daily_consump', 'Slope_of_exposure_re', 'Environmental_risk', 'Noael', 'Loael', 'Reference_oral_dose', 'Acceptable_daily_int', 'Acceptable_daily_int', 'Acceptable_daily_int', 'Average(Average(Concentration_in_fin,well))', 'item 17'] 72,296,1 48,38 2,0,-23,1441,800 2,0,-23,1441,800,0,MIDM [Self,Areas_finland] [0,1,1,0] [Average(Average(Concentration_in_fin)),Average(Average(Concentration_in_uk)),Average(Average(Concentration_in_spa)),Average(Average(Concentration_in_rom)),Average(Average(Concentration_in_hun)),'General','Total_daily_consump','Slope_of_exposure_re','Environmental_risk','Noael','Loael','Reference_oral_dose','Acceptable_daily_int','Acceptable_daily_int','Acceptable_daily_int','Average(Average(Concentration_in_fin,well))',Average(Average(General))] Excess cases of iMetHb attributable to nitrate Importance Abs(RankCorrel(Excess_cases_of_ime1,Excess_cases_of_ime3)) 184,296,1 48,46 2,0,-23,1441,800 2,0,-23,1440,799,0,MIDM [Country,Areas_in_uk]