Source Attribution of Elevated Residential Soil Lead Near a Battery Recycling Site

A statistical methodology is developed to estimate site emission vs urban background contributions to elevated soil lead in areas adjacent to historic lead processing facilities. The methodology is applied in a study of residential soil lead contamination near a former automotive battery recycling f...

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Bibliographic Details
Published in:Environmental science & technology 1995-04, Vol.29 (4), p.883-895
Main Authors: Small, Mitchell J, Nunn, Arthur B, Forslund, Barbara L, Daily, Daniel A
Format: Article
Language:English
Subjects:
Applied sciences
BATTERIES
car batteries
DECHET INDUSTRIEL
DESECHOS INDUSTRIALES
ELECTRICAL INSTALLATIONS
Environmental monitoring
Exact sciences and technology
INDUSTRIA
INDUSTRIAL WASTES
INDUSTRIE
INDUSTRY
INSTALACION ELECTRICA
INSTALLATION ELECTRIQUE
LAND USE
LEAD
MATHEMATICAL MODELS
METHODE STATISTIQUE
METODOS ESTADISTICOS
MODELE MATHEMATIQUE
MODELOS MATEMATICOS
PENNSYLVANIA
PENNSYLVANIE
PLOMB
PLOMO
POLLUTED SOIL
Pollution
POLLUTION DU SOL
Pollution sources. Measurement results
POLUCION DEL SUELO
RECICLAJE
RECYCLAGE DES DECHETS
RECYCLING
Soil and sediments pollution
SOIL POLLUTION
Soils
SOL POLLUE
STATISTICAL METHODS
SUELO CONTAMINADO
UTILISATION DES TERRES
UTILIZACION DE LA TIERRA
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Summary:A statistical methodology is developed to estimate site emission vs urban background contributions to elevated soil lead in areas adjacent to historic lead processing facilities. The methodology is applied in a study of residential soil lead contamination near a former automotive battery recycling facility in Pennsylvania. The site contribution is scaled to deposition estimates from an atmospheric dispersion model with unit emissions. Indicator variables are used to represent the effects of lead-based house paint and other background sources. The statistical model characterizes the observed soil lead concentration at each location as the sum of log-normally distributed components from the site and urban background. The model is used to estimate the spatial profile of mean contributions from the historic site emissions and the probability that the facility caused exceedances of a 500 mu g/g criterion for remediation. The analysis helped to determine the extent of responsibility for cleanup and provided a rational basis for the termination of residential sampling at farther distances from the site.
ISSN:0013-936X
1520-5851
DOI:10.1021/es00004a008