Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides
Identifieur interne : 001A37 ( Main/Exploration ); précédent : 001A36; suivant : 001A38Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides
Auteurs : Robert F. Carsel [États-Unis] ; Russell L. Jones [États-Unis]Source :
- Groundwater Monitoring & Remediation [ 1069-3629 ] ; 1990-11.
Abstract
Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.
Url:
DOI: 10.1111/j.1745-6592.1990.tb00026.x
Affiliations:
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<wicri:orgArea>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California</wicri:orgArea>
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<front><div type="abstract" xml:lang="en">Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</div>
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