2013
DOI: 10.1155/2013/231768
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A Review of Surface Water Quality Models

Abstract: Surface water quality models can be useful tools to simulate and predict the levels, distributions, and risks of chemical pollutants in a given water body. The modeling results from these models under different pollution scenarios are very important components of environmental impact assessment and can provide a basis and technique support for environmental management agencies to make right decisions. Whether the model results are right or not can impact the reasonability and scientificity of the authorized co… Show more

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Cited by 132 publications
(111 citation statements)
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“…The MIKE 21 model, one of the most widely used hydrodynamic models, was developed by Danish Hydraulic Institute (DHI) and has been widely used in domestic and overseas research (Wang et al, 2013). The model is based on the cell-centered 5 finite volume method implemented on an unstructured flexible mesh.…”
Section: Numerical Modelsmentioning
confidence: 99%
“…The MIKE 21 model, one of the most widely used hydrodynamic models, was developed by Danish Hydraulic Institute (DHI) and has been widely used in domestic and overseas research (Wang et al, 2013). The model is based on the cell-centered 5 finite volume method implemented on an unstructured flexible mesh.…”
Section: Numerical Modelsmentioning
confidence: 99%
“…Over the years, there has been a plethora of models developed, such as Streeter-Phelps, QUAL, WASP, QUASAR, MIKE, BASIN, EFDC, OTIS, and PHREEQ C, aimed at simulating processes governing water quality in surface waters (Walton-Day et al 2007;Wang et al 2013). While these models can be put to good use, none of the models was actually developed to simulate water quality in rivers affected by acidification (Cardona et al 2011;Munhoven 2013;Wang et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Two examples of this are the storm water model (SWMM) in combination with the in-stream water quality model (WASP) which are used to compute non-point pollutant load and water quality responses to precipitation, respectively, based on different land cover scenarios [23]. However, to analyze the temperature influence, many datasets and calibration work are required for a case study.…”
Section: Introductionmentioning
confidence: 99%