Literature DB >> 11235895

Nonpoint source pollution: a distributed water quality modeling approach.

L F León1, E D Soulis, N Kouwen, G J Farquhar.   

Abstract

A distributed water quality model for nonpoint source pollution modeling in agricultural watersheds is described in this paper. A water quality component was developed for WATFLOOD (a flood forecast hydrological model) to deal with sediment and nutrient transport. The model uses a distributed group response unit approach for water quantity and quality modeling. Runoff, sediment yield and soluble nutrient concentrations are calculated separately for each land cover class, weighted by area and then routed downstream. With data extracted using Geographical Information Systems (GIS) technology for a local watershed, the model is calibrated for the hydrologic response and validated for the water quality component. The transferability of model parameters to other watersheds, especially those in remote areas without enough data for calibration, is a major problem in diffuse modeling. With the connection to GIS and the group response unit approach used in this paper, model portability increases substantially, which will improve nonpoint source modeling at the watershed-scale level.

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Year:  2001        PMID: 11235895     DOI: 10.1016/s0043-1354(00)00336-5

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

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Authors:  Robert M Argent; V Grace Mitchell
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3.  Integrating water quality responses to best management practices in Portugal.

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4.  Will urban expansion lead to an increase in future water pollution loads?--a preliminary investigation of the Haihe River Basin in northeastern China.

Authors:  Yang Dong; Yi Liu; Jining Chen
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-16       Impact factor: 4.223

5.  The Construction of Ecological Security Patterns in Coastal Areas Based on Landscape Ecological Risk Assessment-A Case Study of Jiaodong Peninsula, China.

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Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

  5 in total

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