Literature DB >> 25779107

Estimation of contribution ratios of pollutant sources to a specific section based on an enhanced water quality model.

Bibo Cao1, Chuan Li, Yan Liu, Yue Zhao, Jian Sha, Yuqiu Wang.   

Abstract

Because water quality monitoring sections or sites could reflect the water quality status of rivers, surface water quality management based on water quality monitoring sections or sites would be effective. For the purpose of improving water quality of rivers, quantifying the contribution ratios of pollutant resources to a specific section is necessary. Because physical and chemical processes of nutrient pollutants are complex in water bodies, it is difficult to quantitatively compute the contribution ratios. However, water quality models have proved to be effective tools to estimate surface water quality. In this project, an enhanced QUAL2Kw model with an added module was applied to the Xin'anjiang Watershed, to obtain water quality information along the river and to assess the contribution ratios of each pollutant source to a certain section (the Jiekou state-controlled section). Model validation indicated that the results were reliable. Then, contribution ratios were analyzed through the added module. Results show that among the pollutant sources, the Lianjiang tributary contributes the largest part of total nitrogen (50.43%), total phosphorus (45.60%), ammonia nitrogen (32.90%), nitrate (nitrite + nitrate) nitrogen (47.73%), and organic nitrogen (37.87%). Furthermore, contribution ratios in different reaches varied along the river. Compared with pollutant loads ratios of different sources in the watershed, an analysis of contribution ratios of pollutant sources for each specific section, which takes the localized chemical and physical processes into consideration, was more suitable for local-regional water quality management. In summary, this method of analyzing the contribution ratios of pollutant sources to a specific section based on the QUAL2Kw model was found to support the improvement of the local environment.

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Year:  2015        PMID: 25779107     DOI: 10.1007/s11356-015-4266-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  19 in total

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Review 3.  Environmental impact of aquaculture and countermeasures to aquaculture pollution in China.

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Journal:  Environ Sci Pollut Res Int       Date:  2014-03-25       Impact factor: 4.223

5.  Optimization of integrated water quality management for agricultural efficiency and environmental conservation.

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Journal:  Environ Sci Pollut Res Int       Date:  2014-03-27       Impact factor: 4.223

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Authors:  B Oliveira; J Bola; P Quinteiro; H Nadais; L Arroja
Journal:  Environ Monit Assess       Date:  2011-11-03       Impact factor: 2.513

7.  A method coupled with remote sensing data to evaluate non-point source pollution in the Xin'anjiang catchment of China.

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Journal:  Sci Total Environ       Date:  2012-05-25       Impact factor: 7.963

8.  Parameter optimization of the QUAL2K model for a multiple-reach river using an influence coefficient algorithm.

Authors:  Jae Heon Cho; Sung Ryong Ha
Journal:  Sci Total Environ       Date:  2010-02-16       Impact factor: 7.963

9.  Water quality in Minho/Miño River (Portugal/Spain).

Authors:  Sílvia Santos; Vítor J P Vilar; Patrícia Alves; Rui A R Boaventura; Cidália Botelho
Journal:  Environ Monit Assess       Date:  2012-08-01       Impact factor: 2.513

10.  Nutrient Inputs to the Laurentian Great Lakes by Source and Watershed Estimated Using SPARROW Watershed Models.

Authors:  Dale M Robertson; David A Saad
Journal:  J Am Water Resour Assoc       Date:  2011-10
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  1 in total

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  1 in total

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