Literature DB >> 32935203

Comparison among different ASEAN water quality indices for the assessment of the spatial variation of surface water quality in the Selangor river basin, Malaysia.

Yong Jie Wong1, Yoshihisa Shimizu2, Kai He2, Nik Meriam Nik Sulaiman3.   

Abstract

The assessment of surface water quality is often laborious, expensive and tedious, as well as impractical, especially for the developing and middle-income countries in the ASEAN region. The application of the water quality index (WQI), which depends on several independent key parameters, has great potential and is a useful tool in this region. Therefore, this study aims to find out the spatial variability of various water quality parameters in geographical information system (GIS) environment and perform a comparative study among the ASEAN WQI systems. At present, there are four ASEAN countries which have implemented the WQI system to evaluate their surface water quality, which are (i) Own WQI system-Malaysia, Thailand and Vietnam-and (ii) Adopted WQI system: Indonesia. A spatial distribution of 12 water quality parameters in the Selangor river basin, Malaysia, was plotted and then applied into the different ASEAN WQI systems. The WQI values obtained from the different WQI systems have an appreciable difference, even for the same water samples due to the disparity in the parameter selection and the standards among them. WQI systems which consider all biophysicochemical parameters provide a consistent evaluation (Very Poor), but the system which either considers physicochemical or biochemical parameters gives a relatively lenient evaluation (Fair-Poor). The Selangor river basin is stressed and impacted by all physical, biological and chemical parameters caused by both the aridity of the climate and anthropogenic activities. Therefore, it is crucial to include all these aspects into the evaluation and corresponding actions should be taken.

Entities:  

Keywords:  ASEAN; Selangor river basin; Spatial analysis; Water quality index

Mesh:

Substances:

Year:  2020        PMID: 32935203     DOI: 10.1007/s10661-020-08543-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


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Journal:  Environ Monit Assess       Date:  2015-02-24       Impact factor: 2.513

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Journal:  Environ Pollut       Date:  2018-10-18       Impact factor: 8.071

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Journal:  Sensors (Basel)       Date:  2016-08-16       Impact factor: 3.576

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