A critical review on water quality index tool: Genesis, evolution and future directions

被引:90
作者
Gupta, Suyog [1 ]
Gupta, Sunil Kumar [1 ]
机构
[1] Indian Inst Technol, Indian Sch Mines, Dept Environm Sci & Engn, Dhanbad 826004, Bihar, India
关键词
River water quality; Water quality index; Water quality parameter; Water quality classification; Weight factor; ANALYTIC HIERARCHY PROCESS; RIVER; POLLUTION; CLASSIFICATION; MANAGEMENT; CLUSTER; TRENDS; BASIN; GANGA;
D O I
10.1016/j.ecoinf.2021.101299
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Water quality is a substantial measure in coordinating water demand and supply. An adequate level of freshwater is eminent for biological needs and a vital side of integrated sustainable environmental development. There has been a disrupting ascend in the water pollution due to the natural and anthropogenic events. Past few years, research has enormously engrossed on the development of water quality index (WQI), as a prevalent tool for water quality assessment. This review article presented an in-depth literature-based look up of WQI's potentials concerning their use as a scientific tool for river water quality monitoring and management. This study also highlighted the importance, limitations and future directions of WQI tool to afford additional information about its usage. The review indicated the influence of the environmental features, like geographic locations and sampling periods, on the estimation of WQI. Also, WQI was projected as a single value which decreased the immense amount of water quality parameters and epitomized the data in a simple way. The incessant use of WQI tool provided long-term information for helping the water resource managers, environmental engineers and scientists in decision making and management.
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页数:13
相关论文
共 106 条
[1]  
Abbasi T, 2012, WATER QUALITY INDICES, P1, DOI 10.1016/B978-0-444-54304-2.00016-6
[2]  
Abdel-Satar A.M., 2017, EGYPT J AQUATIC RES, V43, P21, DOI DOI 10.1016/j.ejar.2016.12.006
[3]  
Abowei J. F. N., 2010, Advance Journal of Food Science & Technology, V2, P36
[4]   Machine learning methods for better water quality prediction [J].
Ahmed, Ali Najah ;
Othman, Faridah Binti ;
Afan, Haitham Abdulmohsin ;
Ibrahim, Rusul Khaleel ;
Fai, Chow Ming ;
Hossain, Md Shabbir ;
Ehteram, Mohammad ;
Elshafie, Ahmed .
JOURNAL OF HYDROLOGY, 2019, 578
[5]   Pollution evaluation in streams using water quality indices: A case study from Turkey's Sapanca Lake Basin [J].
Akkoyunlu, Atilla ;
Akiner, Muhamrned E. .
ECOLOGICAL INDICATORS, 2012, 18 :501-511
[6]  
Akoteyon I.S., 2011, European Journal of Scientific Research, V54, P263, DOI DOI 10.12691/AJWR-1-3-3
[7]  
Al-Mayah W.T., 2018, IJS, V59, P660
[8]   Evaluation water quality of Diyala River in Iraq using Bhargava method [J].
Al-Musawi, Nawar .
3RD INTERNATIONAL CONFERENCE ON BUILDINGS, CONSTRUCTION AND ENVIRONMENTAL ENGINEERING, BCEE3-2017, 2018, 162
[9]   Classification of river water quality using multivariate analysis [J].
Azhar, Shah Christirani ;
Aris, Ahmad Zaharin ;
Yusoff, Mohd Kamil ;
Ramli, Mohammad Firuz ;
Juahir, Hafizan .
ENVIRONMENTAL FORENSICS 2015, 2015, 30 :79-84
[10]   Physicochemical and microbial assessment of spring water quality for drinking supply in Piedmont of Beni-Mellal Atlas (Morocco) [J].
Barakat, Ahmed ;
Meddah, Redouane ;
Afdali, Mustapha ;
Touhami, Fatima .
PHYSICS AND CHEMISTRY OF THE EARTH, 2018, 104 :39-46