SWAT Model Predictions of Annual Maximum Pesticide Concentrations in High Vulnerability Watersheds.

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SWAT Model Predictions of Annual Maximum Pesticide Concentrations in High Vulnerability Watersheds.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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P1476

SWAT Model Predictions of Annu ...... High Vulnerability Watersheds.

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P2093

Michael F Winchell

http://www.w3.org/2001/XMLSchema#string

Natalia Peranginangin

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Raghavan Srinivasan

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Wenlin Chen

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P2860

Comparison of simulated pesticide concentrations in surface drinking water with monitoring data: explanations for observed differences and proposals for a new regulatory modeling approach.

Modeling Agricultural Watersheds with the Soil and Water Assessment Tool (SWAT): Calibration and Validation with a Novel Procedure for Spatially Explicit HRUs

Pesticide transport simulation in a tropical catchment by SWAT.

Applications of the SWAT Model Special Section: Overview and Insights.

Evaluation of water quality in an agricultural watershed as affected by almond pest management practices.

Management-oriented sensitivity analysis for pesticide transport in watershed-scale water quality modeling using SWAT.

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

Modeling effectiveness of agricultural BMPs to reduce sediment load and organophosphate pesticides in surface runoff.

Hydrologic and atrazine simulation of the Cedar Creek Watershed using the SWAT model.

Occurrence of metolachlor and trifluralin losses in the Save river agricultural catchment during floods.

P31

scholarly article

P356

10.1002/IEAM.2014

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P4510

SWAT

P577

2017-11-29T00:00:00Z

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P698

29193759

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