Characterizing dependence of pesticide load in surface water on precipitation and pesticide use for the Sacramento River watershed

被引：38

作者：

Guo, L ^{[1
]}

Nordmark, CE ^{[1
]}

Spurlock, FC ^{[1
]}

Johnson, BR ^{[1
]}

Li, LY ^{[1
]}

Lee, JM ^{[1
]}

Goh, KS ^{[1
]}

机构：

[1] Calif Environm Protect Agcy, Dept Pesticide Regulat, Environm Monitoring Branch, Sacramento, CA 95812 USA

来源：

ENVIRONMENTAL SCIENCE & TECHNOLOGY | 2004年 / 38卷 / 14期

关键词：

D O I：

10.1021/es0351241

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Transport of pesticides by surface runoff during rainfall events is a major process contributing to pesticide contamination in rivers. This study presents an empirical regression model that relates pesticide loading over time in the Sacramento River with the precipitation and pesticide use in the Sacramento River watershed. The model closely simulated loading dynamics of diazinon, simazine, and diuron during 1991-1994 and 1997-2000 winter storm seasons. The coefficients of determination for regression ranged from 0.168 to 0.907, all were significant at <0.001. The results of this study provide strong evidence that precipitation and pesticide use are the two major environmental variables dictating the dynamics of pesticide transport into surface water in a watershed. The capability of the statistical model to provide time-series estimates on pesticide loading in rivers is unique and may be useful for total maximum daily load (TMDL) assessments.

引用

页码：3842 / 3852

页数：11

共 15 条

[1] Statistical modeling of agricultural chemical occurrence in midwestern rivers [J].