Record Display for the EPA National Library Catalog


Main Title Conducting Field Studies for Testing Pesticide Leaching Models
Author Smith, Charles N. ; Parrish, R. S. ; Brown., D. S.
CORP Author Environmental Research Lab., Athens, GA. ;Computer Sciences Corp., Athens, GA.
Publisher Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1990
Report Number EPA 600/J-90/060
Stock Number PB90-245648
OCLC Number 32420293
Additional Subjects Pesticides ; Mathematical models ; Soil analysis ; Sampling ; Performance evaluation ; Recommendations ; Field tests ; Decision making ; Guidelines ; Reaction kinetics ; Design criteria ; Site surveys ; Leaching ; Statistical analysis ; Quality assurance ; Reprints ; Environmental transport ; Chemical reaction mechanisms ; Environmental monitoring ; Pollution regulations ; Environment management ; Land pollution
Library Call Number Additional Info Location Last
EMBD  EPA/600/J-90/060 NRMRL/GWERD Library/Ada,OK 05/12/1995
NTIS  PB90-245648 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 28p. 28 cm.
A variety of predictive models are being applied to evaluate the transport and transformation of pesticides in the environment. These include well known models such as the Pesticide Root Zone Model (PRZM), the Risk of Unsaturated-Saturated Transport and Transformation Interactions for Chemical Concentrations (RUSTIC) model, and the Groundwater Loading Effects of Agricultural Management Systems (GLEAMS) model. The potentially large impact of using these models as tools for developing pesticide management strategies and regulatory decisions necessitates development of sound model validation protocols. The paper offers guidance on many of the theoretical and practical problems encountered in the design and implementation of full-scale model validation studies. Recommendations are provided for site selection and characterization, test compound selection, data needs, measurement techniques, statistical design considerations and sampling techniques. A strategy is provided for quantitatively testing models using field measurements. (Copyright (c) 1990 Gordon and Breach, Science Publishers, Inc.)
Caption title. EPA/600/J-90/060 PB90-245648