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    Integrated Water-Quality Assessment of the Huai River Basin in China

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 002
    Author:
    Rui Xia
    ,
    Zhi Chen
    DOI: 10.1061/(ASCE)HE.1943-5584.0001030
    Publisher: American Society of Civil Engineers
    Abstract: The traditional indicator method for water-quality assessment is subjected to uncertainties in assessing water quality and quantity due to different subjective evaluations of the quality and determination of errors in the measured data set. In this study, a water-quality assessment based on the integrated measures of the fuzzy set for water-quality indicators is applied to the Huai River Basin (HRB) in China in order to avoid unnecessary errors. The single-factor method usually overestimates or underestimates the degree of risk of the comprehensive water quality since the class of the water quality is determined based only on the worst indicator. Whereas the fuzzy integrated risk assessment can indicate not only the highest grade of water pollution, but also the possible ranges of water-quality-assessment classification. There is some uncertainty, but this method provides more practical and in-depth indicators than the traditional single-factor method on water pollution risk. The final results, based on the water-quality monitor used in 2006, which collected the most representative and complete data set from 71 sites with 37 indicators in recent years, show that the comprehensive water quality in the HRB falls into Grade V (risky), and almost half of the sampling sites along the HRB have a water-quality grade of V or worse. In addition, the final integrated water-quality risk assessment shown on a geographic information system (GIS) risk map is straightforward and can be easily utilized by management decision makers.
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      Integrated Water-Quality Assessment of the Huai River Basin in China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/81822
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    contributor authorRui Xia
    contributor authorZhi Chen
    date accessioned2017-05-08T22:30:48Z
    date available2017-05-08T22:30:48Z
    date copyrightFebruary 2015
    date issued2015
    identifier other47695140.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81822
    description abstractThe traditional indicator method for water-quality assessment is subjected to uncertainties in assessing water quality and quantity due to different subjective evaluations of the quality and determination of errors in the measured data set. In this study, a water-quality assessment based on the integrated measures of the fuzzy set for water-quality indicators is applied to the Huai River Basin (HRB) in China in order to avoid unnecessary errors. The single-factor method usually overestimates or underestimates the degree of risk of the comprehensive water quality since the class of the water quality is determined based only on the worst indicator. Whereas the fuzzy integrated risk assessment can indicate not only the highest grade of water pollution, but also the possible ranges of water-quality-assessment classification. There is some uncertainty, but this method provides more practical and in-depth indicators than the traditional single-factor method on water pollution risk. The final results, based on the water-quality monitor used in 2006, which collected the most representative and complete data set from 71 sites with 37 indicators in recent years, show that the comprehensive water quality in the HRB falls into Grade V (risky), and almost half of the sampling sites along the HRB have a water-quality grade of V or worse. In addition, the final integrated water-quality risk assessment shown on a geographic information system (GIS) risk map is straightforward and can be easily utilized by management decision makers.
    publisherAmerican Society of Civil Engineers
    titleIntegrated Water-Quality Assessment of the Huai River Basin in China
    typeJournal Paper
    journal volume20
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001030
    treeJournal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 002
    contenttypeFulltext
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