Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models
The human toxicity potential, a weighting scheme used to evaluate toxicemissions for life cycle assessment and toxics release inventories, is based on potential dose calculations and toxicity factors. This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncer...
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Veröffentlicht in: | Risk analysis 1999-12, Vol.19 (6), p.1193-1204 |
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description | The human toxicity potential, a weighting scheme used to evaluate toxicemissions for life cycle assessment and toxics release inventories, is based on potential dose calculations and toxicity factors. This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncertainty in chemical‐specific input parameters as well as the variabilit in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical‐specific input parameters, especially half‐lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. Landscape characteristics are generally of minor importance. |
doi_str_mv | 10.1111/j.1539-6924.1999.tb01138.x |
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This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncertainty in chemical‐specific input parameters as well as the variabilit in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical‐specific input parameters, especially half‐lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. 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This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncertainty in chemical‐specific input parameters as well as the variabilit in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical‐specific input parameters, especially half‐lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. Landscape characteristics are generally of minor importance.</description><subject>Animals</subject><subject>Computational methods</subject><subject>Computer simulation</subject><subject>Decision theory</subject><subject>Diet - adverse effects</subject><subject>Environmental Exposure</subject><subject>Environmental Pollutants - adverse effects</subject><subject>exposure efficiency</subject><subject>Health hazards</subject><subject>Health risks</subject><subject>Humans</subject><subject>Life cycle</subject><subject>life cycle assessment (LCA)</subject><subject>Mathematical models</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo methods</subject><subject>Multimedia modeling</subject><subject>Multimedia systems</subject><subject>Risk Assessment</subject><subject>Toxicity</subject><subject>toxicity scoring</subject><subject>toxics release inventory (TRI)</subject><subject>uncertainty</subject><subject>variability</subject><subject>Water Pollutants, Chemical - adverse effects</subject><subject>Water Supply</subject><issn>0272-4332</issn><issn>1539-6924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqVkF1v0zAUhi0EYqXwF1DEBXfJfOKvmCumqStFHVTA2KXlOCeSS5oUOxntv19KqolbfGNZft736DyEvAOawXgutxkIplOpc56B1jrrSwrAiuzwjMyevp6TGc1VnnLG8gvyKsYtpUCpUC_JBVAlBRdyRtYbG-wOewzJXesw9Na3_TGxbZX8tMHb0jd-fK_aZPFgm8H2_gGTG9vjX2Rx2HdxCJjcdhU28TV5Udsm4pvzPSd3N4sf15_S9dfl6vpqnTpWMJY6YELRsixr1LVyFauBWg6uKkFzzRgUqCTSWgigsqhLp7jSsuLc8ZJxWbA5eT_17kP3e8DYm52PDpvGttgN0eTAtJJMjuCHCXShizFgbfbB72w4GqDm5NJszUmYOQkzJ5fm7NIcxvDb85Sh3GH1T3SSNwIfJ-CPb_D4H9Xm2-r7FcC46pykU4WPPR6eKmz4ZaRiSpj7L0uzEet7vrn9bJbsEUZ2k58</recordid><startdate>199912</startdate><enddate>199912</enddate><creator>Hertwich, Edgar G.</creator><creator>McKone, Thomas E.</creator><creator>Pease, William S.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>199912</creationdate><title>Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models</title><author>Hertwich, Edgar G. ; McKone, Thomas E. ; Pease, William S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3833-c13570bbbfe9f7cd3f10a41cdb19493318e76e0f551068fbc74796d44c4b34683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Animals</topic><topic>Computational methods</topic><topic>Computer simulation</topic><topic>Decision theory</topic><topic>Diet - adverse effects</topic><topic>Environmental Exposure</topic><topic>Environmental Pollutants - adverse effects</topic><topic>exposure efficiency</topic><topic>Health hazards</topic><topic>Health risks</topic><topic>Humans</topic><topic>Life cycle</topic><topic>life cycle assessment (LCA)</topic><topic>Mathematical models</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo methods</topic><topic>Multimedia modeling</topic><topic>Multimedia systems</topic><topic>Risk Assessment</topic><topic>Toxicity</topic><topic>toxicity scoring</topic><topic>toxics release inventory (TRI)</topic><topic>uncertainty</topic><topic>variability</topic><topic>Water Pollutants, Chemical - adverse effects</topic><topic>Water Supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hertwich, Edgar G.</creatorcontrib><creatorcontrib>McKone, Thomas E.</creatorcontrib><creatorcontrib>Pease, William S.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Risk analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hertwich, Edgar G.</au><au>McKone, Thomas E.</au><au>Pease, William S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models</atitle><jtitle>Risk analysis</jtitle><addtitle>Risk Anal</addtitle><date>1999-12</date><risdate>1999</risdate><volume>19</volume><issue>6</issue><spage>1193</spage><epage>1204</epage><pages>1193-1204</pages><issn>0272-4332</issn><eissn>1539-6924</eissn><abstract>The human toxicity potential, a weighting scheme used to evaluate toxicemissions for life cycle assessment and toxics release inventories, is based on potential dose calculations and toxicity factors. This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncertainty in chemical‐specific input parameters as well as the variabilit in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical‐specific input parameters, especially half‐lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. Landscape characteristics are generally of minor importance.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>10765456</pmid><doi>10.1111/j.1539-6924.1999.tb01138.x</doi><tpages>12</tpages></addata></record> |
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subjects | Animals Computational methods Computer simulation Decision theory Diet - adverse effects Environmental Exposure Environmental Pollutants - adverse effects exposure efficiency Health hazards Health risks Humans Life cycle life cycle assessment (LCA) Mathematical models Monte Carlo Method Monte Carlo methods Multimedia modeling Multimedia systems Risk Assessment Toxicity toxicity scoring toxics release inventory (TRI) uncertainty variability Water Pollutants, Chemical - adverse effects Water Supply |
title | Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models |
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