Record Display for the EPA National Library Catalog

RECORD NUMBER: 20 OF 31

OLS Field Name OLS Field Data
Main Title Probabilistic Aquatic Exposure Assessment for Pesticides. I: Foundations.
Author Burns, L. A. ;
CORP Author Environmental Protection Agency, Athens, GA. Ecosystems Research Div.
Publisher Sep 2001
Year Published 2001
Report Number EPA/600/R-01/071;
Stock Number PB2003-106605
Additional Subjects Mathematical models ; Pesticides ; Risk assessment ; Environmmental exposure pathway ; Bioaccumulation ; Probability ; Fishes ; Statistical analysis ; Methodology ; Ecotoxicology ;
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P1000A2U.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2003-106605 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 10/24/2003
Collation CD-ROM
Abstract
Models that capture underlying mechanisms and processes are necessary for reliable extrapolation of laboratory chemical data to field conditions. For validation, these models require a major revision of the conventional model testing paradigm to better recognize the conflict between model users and model developers risk (as T ype I and Type II errors) in statistical testing of model predictions. The predictive reliability of the models must be hypothesized and tested by methods that lead to conclusions of the form the model predictions are within a factor-of-two of reality at least 95% of the time. Once predictive reliability is established, it can be treated as a method error within a probabilistic risk assessment framework. This report, developed under APM 131 (Develop a Probability-Based Methodology for Conducting Regional Aquatic Ecosystem Exposure and Vulnerability Assessments for Pesticides), describes a step-by-step process for establishing the predictive reliability of exposure models.