Estimating atrazine leaching in the Midwest

被引:4
作者
Burkart, MR
Gassman, PW
Moorman, TB
Singh, P
机构
[1] ARS, USDA, MWA, Natl Soil Tilth Lab, Ames, IA 50011 USA
[2] Iowa State Univ, Ctr Agr Rural Dev, Ames, IA 50011 USA
[3] Waterborne Environm Inc, Leesburg, VA 20175 USA
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 1999年 / 35卷 / 05期
关键词
agricultural hydrology; nonpoint source pollution; infiltration and soil moisture; modeling; simulation; water quality;
D O I
10.1111/j.1752-1688.1999.tb04196.x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Data from seven Management Systems Evaluation Areas (MSEA) were used to test the sensitivity of a leaching model, Pesticide Root Zone Model-a, to a variety of hydrologic settings in the Midwest. Atrazine leaching was simulated because it was prevalent in the MSEA studies and is frequently detected in the region's groundwater. Short-term simulations used site-specific soil and chemical parameters. Generalized simulations used data available from regional soil databases and standardized variables. Accurate short-term simulations were precluded by lack of antecedent atrazine concentrations in the soil profile and water, suggesting that simulations using data for less than five years underestimate atrazine leaching. The seven sites were ranked in order of atrazine detection frequency (concentration > 0.2 mu g L-1) in soil water at 2 m depth in simulations. The rank order of the sites based on longterm simulations were similar to the ranks of sites based on atrazine detection frequency from groundwater monitoring. Simulations with Map Unit Use File (MUUF) soils data were more highly correlated with ranks of observed atrazine detection frequencies than were short-term simulations using site-specific soil data. Simulations using the MUUF data for soil parameters were sufficiently similarity to observed atrazine detection to allow the credible use of regional soils data for simulating leaching with PRZM-2 in a variety of Midwest soil and hydrologic conditions. This is encouraging for regional modeling efforts because soil parameters are among the most critical for operating PRZM-2 and many other leaching models.
引用
收藏
页码:1089 / 1100
页数:12
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