Literature DB >> 18457909

Dynamic modeling of organophosphate pesticide load in surface water in the northern San Joaquin Valley watershed of California.

Yuzhou Luo1, Xuyang Zhang, Xingmei Liu, Darren Ficklin, Minghua Zhang.   

Abstract

The hydrology, sediment, and pesticide transport components of the Soil and Water Assessment Tool (SWAT) were evaluated on the northern San Joaquin Valley watershed of California. The Nash-Sutcliffe coefficients for monthly stream flow and sediment load ranged from 0.49 to 0.99 over the watershed during the study period of 1992-2005. The calibrated SWAT model was applied to simulate fate and transport processes of two organophosphate pesticides of diazinon and chlorpyrifos at watershed scale. The model generated satisfactory predictions of dissolved pesticide loads relative to the monitoring data. The model also showed great success in capturing spatial patterns of dissolved diazinon and chlorpyrifos loads according to the soil properties and landscape morphology over the large agricultural watershed. This study indicated that curve number was the major factor influencing the hydrology while pesticide fate and transport were mainly affected by surface runoff and pesticide application and in the study area.

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Year:  2008        PMID: 18457909     DOI: 10.1016/j.envpol.2008.04.005

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  A Pilot Study Comparing Observational and Questionnaire Surrogate Measures of Pesticide Exposure Among Residents Impacted by the Ecuadorian Flower Industry.

Authors:  Alexis J Handal; Alison McGough-Maduena; Maritza Páez; Betty Skipper; Andrew S Rowland; Richard A Fenske; Siobán D Harlow
Journal:  Arch Environ Occup Health       Date:  2015       Impact factor: 1.663

2.  Environmental modeling and exposure assessment of sediment-associated pyrethroids in an agricultural watershed.

Authors:  Yuzhou Luo; Minghua Zhang
Journal:  PLoS One       Date:  2011-01-05       Impact factor: 3.240

  2 in total

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