Main Title |
Comparison of pesticide root zone model predictions with observed concentrations for the tobacco pesticide metalaxyl in unsaturated zone soils / |
Author |
Carsel, Robert F., ;
Carsel, R. F. ;
Nixon, W. B. ;
Ballantine, L. G.
|
Other Authors |
|
CORP Author |
Environmental Research Lab., Athens, GA. ;CIBA-GEIGY Corp., Greensboro, NC. |
Publisher |
Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, |
Year Published |
1986 |
Report Number |
PB87-170361; EPA/600/J-86/246 |
Stock Number |
PB87-170361 |
OCLC Number |
1059127223 |
Subjects |
Pesticides--Environmental aspects--Florida ;
Pesticides--Environmental aspects--Maryland ;
Groundwater--Pollution--Florida ;
Groundwater--Pollution--Maryland
|
Additional Subjects |
Pesticides ;
Tobacco plants ;
Leaching ;
Water pollution ;
Ground water ;
Soil properties ;
Profiles ;
Hydrology ;
Mathematical models ;
Degradation ;
Depth ;
Comparison ;
Risk ;
Assessments ;
Florida ;
Reprints ;
Metalaxyl
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBD RPS |
EPA 600-J-86-246 |
repository copy |
AWBERC Library/Cincinnati,OH |
10/30/2018 |
NTIS |
PB87-170361 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
pages 345-353 : charts ; 28 cm |
Abstract |
The pesticide root zone model (PRZM) was developed to evaluate pesticide leaching threats to ground water for different crops under varying climatic conditions, soil characteristics, and cropping practices. In the study, PRZM was evaluated to establish its predictive capability by comparing observed metalaxyl concentration profiles with predicted concentration profiles using field-averaged pesticide data and best estimates for several hydrologic characteristics and pesticide and pesticide transport properties at field sites in Florida and Maryland. Coefficients of determination for the Florida site at 26, 55 and 85 d after application of 0.33, 0.90 and 0.95, respectively, were obtained when field observations were regressed against model predictions. |
Notes |
Includes bibliographical references. EPA/600/J-86/246. "PB87-170361." |