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Site-specific data confirm arsenic exposure predicted by the U.S. Environmental Protection Agency.
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MedLine Citation:
PMID:  9452415     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The EPA uses an exposure assessment model to estimate daily intake to chemicals of potential concern. At the Anaconda Superfund site in Montana, the EPA exposure assessment model was used to predict total and speciated urinary arsenic concentrations. Predicted concentrations were then compared to concentrations measured in children living near the site. When site-specific information on concentrations of arsenic in soil, interior dust, and diet, site-specific ingestion rates, and arsenic absorption rates were used, measured and predicted urinary arsenic concentrations were in reasonable agreement. The central tendency exposure assessment model successfully described the measured urinary arsenic concentration for the majority of children at the site. The reasonable maximum exposure assessment model successfully identified the uppermost exposed population. While the agreement between measured and predicted urinary arsenic is good, it is not exact. The variables that were identified which influenced agreement included soil and dust sample collection methodology, daily urinary volume, soil ingestion rate, and the ability to define the exposure unit. The concentration of arsenic in food affected agreement between measured and predicted total urinary arsenic, but was not considered when comparing measured and predicted speciated urinary arsenic. Speciated urinary arsenic is the recommended biomarker for recent inorganic arsenic exposure. By using site-specific data in the exposure assessment model, predicted risks from exposure to arsenic were less than predicted risks would have been if the EPA's default values had been used in the exposure assessment model. This difference resulted in reduced magnitude and cost of remediation while still protecting human health.
Authors:
S Walker; S Griffin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Environmental health perspectives     Volume:  106     ISSN:  0091-6765     ISO Abbreviation:  Environ. Health Perspect.     Publication Date:  1998 Mar 
Date Detail:
Created Date:  1999-07-15     Completed Date:  1999-07-15     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  0330411     Medline TA:  Environ Health Perspect     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  133-9     Citation Subset:  IM    
Affiliation:
AGEISS Environmental, Inc., Denver, CO 80202, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Arsenic / analysis*,  urine
Biological Availability
Dust / analysis
Environmental Exposure / statistics & numerical data*
Humans
Models, Statistical
Soil Pollutants / analysis
United States
United States Environmental Protection Agency
Chemical
Reg. No./Substance:
0/Dust; 0/Soil Pollutants; 7440-38-2/Arsenic
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): Environ Health Perspect
ISSN: 0091-6765
Article Information
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Print publication date: Month: 3 Year: 1998
Volume: 106 Issue: 3
First Page: 133 Last Page: 139
ID: 1533040
PubMed Id: 9452415

Site-specific data confirm arsenic exposure predicted by the U.S. Environmental Protection Agency.
S Walker
S Griffin
AGEISS Environmental, Inc., Denver, CO 80202, USA.



Article Categories:
  • Research Article


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