Uncertainty Analysis of Regional Mercury Exposure
| ISSN: |
1573-2932
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|---|---|
| Keywords: |
exposure assessment ; mercury ; uncertainty analysis
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| Source: |
Springer Online Journal Archives 1860-2000
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| Topics: |
Energy, Environment Protection, Nuclear Power Engineering
|
| Notes: |
Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption.
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| Type of Medium: |
Electronic Resource
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| URL: |
| _version_ | 1798296690142216193 |
|---|---|
| autor | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| autorsonst | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| book_url | http://dx.doi.org/10.1023/A:1005048017031 |
| datenlieferant | nat_lic_papers |
| hauptsatz | hsatz_simple |
| identnr | NLM196186226 |
| iqvoc_descriptor_keyword | iqvoc_00000708:analysis |
| iqvoc_descriptor_title | iqvoc_00000708:Analysis |
| issn | 1573-2932 |
| journal_name | Water, air & soil pollution |
| materialart | 1 |
| notes | Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption. |
| package_name | Springer |
| publikationsjahr_anzeige | 1999 |
| publikationsjahr_facette | 1999 |
| publikationsjahr_intervall | 8004:1995-1999 |
| publikationsjahr_sort | 1999 |
| publisher | Springer |
| reference | 112 (1999), S. 151-162 |
| schlagwort | exposure assessment mercury uncertainty analysis |
| search_space | articles |
| shingle_author_1 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| shingle_author_2 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| shingle_author_3 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| shingle_author_4 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. |
| shingle_catch_all_1 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. Uncertainty Analysis of Regional Mercury Exposure exposure assessment mercury uncertainty analysis exposure assessment mercury uncertainty analysis Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption. 1573-2932 15732932 Springer |
| shingle_catch_all_2 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. Uncertainty Analysis of Regional Mercury Exposure exposure assessment mercury uncertainty analysis exposure assessment mercury uncertainty analysis Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption. 1573-2932 15732932 Springer |
| shingle_catch_all_3 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. Uncertainty Analysis of Regional Mercury Exposure exposure assessment mercury uncertainty analysis exposure assessment mercury uncertainty analysis Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption. 1573-2932 15732932 Springer |
| shingle_catch_all_4 | Seigneur, C. Lohman, K. Pai, P. Heim, K. Mitchell, D. Levin, L. Uncertainty Analysis of Regional Mercury Exposure exposure assessment mercury uncertainty analysis exposure assessment mercury uncertainty analysis Abstract A modeling system has been developed to simulate regional environmental exposure to mercury due to atmospheric deposition of mercury to watersheds. The atmospheric fate and transport of mercury is simulated using a comprehensive three-dimensional Eulerian model, the Trace Element Atmospheric Model (TEAM). The aquatic chemistry and bioaccumulation of mercury in fish are simulated using a model of mercury cycling in a lake/watershed system, the Regional Mercury Cycling Model (R-MCM). Fish consumption was derived from a review of available surveys. Previous work focused on an assessment of the environmental and inter-individual variability in key input data (Seigneur et al., 1997a). We address here the uncertainties associated with critical model input variables (e.g., atmospheric deposition velocities, precipitation rate, limnological characteristics). A probabilistic assessment is conducted to propagate the uncertainties in the input data through the modeling system and develop a probability distribution of the human mercury dose that reflects these uncertainties. The standard deviation of the distribution of the calculated human dose is about 50% of the mean value. For the example considered here (i.e., Park Lake in Michigan, U.S.A.), 80% of the uncertainty in the human dose was due to uncertainties in the speciation of mercury air emissions, pH and temperature of the lake, burial velocity of the sediments, and rate of fish consumption. 1573-2932 15732932 Springer |
| shingle_title_1 | Uncertainty Analysis of Regional Mercury Exposure |
| shingle_title_2 | Uncertainty Analysis of Regional Mercury Exposure |
| shingle_title_3 | Uncertainty Analysis of Regional Mercury Exposure |
| shingle_title_4 | Uncertainty Analysis of Regional Mercury Exposure |
| sigel_instance_filter | dkfz geomar wilbert ipn albert fhp |
| source_archive | Springer Online Journal Archives 1860-2000 |
| timestamp | 2024-05-06T09:56:06.088Z |
| titel | Uncertainty Analysis of Regional Mercury Exposure |
| titel_suche | Uncertainty Analysis of Regional Mercury Exposure |
| topic | ZP |
| uid | nat_lic_papers_NLM196186226 |