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The Evolving Science of Chemical Risk Assessment for Land-Applied Biosolids

Rosalind A. Schoof* and Dana Houkal

Integral Consulting, Inc., 7900 SE 28th Street, Suite 300, Mercer Island, WA 98040



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Fig. 1. Probabilistic exposure assessment (modified from USEPA, 2001). In a probabilistic exposure assessment, distributions for each input parameter (e.g., V1, V2, to Vn) are combined to yield an overall exposure distribution. This distribution is then used to identify the reasonable maximum exposure (RME), which is defined as exposures corresponding to the 90th to 99.9th percentiles. This definition of RME is consistent between deterministic and probabilistic risk assessment.

 


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Fig. 2. Farm family conceptual model (from USEPA, 2002b). Contaminants from biosolids applied to farmland are assumed to migrate from the application area along pathways indicated by arrows and by atmospheric deposition. The farm family is then assumed to contact contaminants either in the application area, in secondary media to which contaminants have migrated, and in biota that have contacted and absorbed the contaminants.

 


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Fig. 3. Media concentration module (modified from USEPA, 2002b). The source partition model used the distribution of reported dioxin concentrations in sewage sludge to predict agricultural soil concentrations, and then used fate and transport and food chain models to estimate distributions of concentrations in other environmental media and in food. (Met data = meteorological data.)

 


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Fig. 4. Ecological conceptual model for agricultural application (from USEPA, 2002b). Contaminants from biosolids applied to farmland are assumed to migrate from the application area along pathways indicated by arrows and by atmospheric deposition. Ecological receptors (see inserts) are then assumed to contact contaminants by the illustrated exposure routes.

 





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