Literature DB >> 31321723

Evaluation of conventional drinking water treatment plant efficiency according to water quality index and health risk assessment.

Alper Alver1.   

Abstract

The objective of this research is to investigate the effluent water quality of a treatment plant in Turkey fed from surface and groundwater, according to water quality index (WOI) and health risk assessment (HRA). In order to achieve this goal, the quality of the influent and effluent water of the treatment plant was monitored monthly from January 2017 to January 2019. Water quality parameter results were compared with the Turkish drinking water standards and the World Health Organization (WHO), revealing that all parameters were within approved limits. Principal component analysis (PCA) was applied to determine the water quality parameter impacts in the overall quality of water and the most attractive parameters were trace elements, heavy metals, NH3-N, NO3, and TKN. To evaluate water quality and the impacts on human health, WQI and HRA, including hazard quotient (HQ) and hazard index (HI), were used. The WQI values were calculated by taking into account PCA results. WQI results demonstrated that the influent and effluent of water treatment plant values have a small number of WQI ranking that expressed the water category was "excellent" for drinking purpose. Finally, metal contamination in influent and effluent waters was assessed and the associated health risks to rural populations were estimated for different age groups, children and adults in the service area of the treatment plant. The health risk assessment with similar to WQI results, the acute, sub-chronic, and chronic risks of trace elements was "negligible" level, i.e., to a level affecting 1 person in 1,000,000 inhabitants.

Entities:  

Keywords:  Drinking water; Health risk assessment; Non-carcinogens; Principal component analysis; Treatment plant; Water quality index

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Year:  2019        PMID: 31321723     DOI: 10.1007/s11356-019-05801-y

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


  2 in total

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Authors:  Yunshu Tang; Xiaoyu Zhao; Jianling Jiao
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-13       Impact factor: 4.223

2.  Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment.

Authors:  Artyom Nikitin; Polina Tregubova; Dmitrii Shadrin; Sergey Matveev; Ivan Oseledets; Maria Pukalchik
Journal:  Sci Rep       Date:  2021-12-10       Impact factor: 4.379

  2 in total

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