Characterization of groundwater potability and irrigation potential in Uttar Pradesh, India using water quality index and multivariate statistics

被引:2
作者
Chaudhary, Supriya [1 ]
Singh, Gurudatta [1 ]
Gupta, Deepak [1 ]
Maunas, Suruchi Singh [1 ]
Mishra, Virendra Kumar [1 ]
机构
[1] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi 221005, India
关键词
groundwater quality; multivariate statistics; suitability of drinking and irrigation; water quality index; FLUORIDE CONTAMINATION; ANDHRA-PRADESH; DISTRICT; WQI; PARTS; PLAIN; CITY; SONBHADRA; KARNATAKA; SYSTEM;
D O I
10.2166/hydro.2024.291
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This study includes groundwater quality data from 290 monitoring sites from 69 districts of Uttar Pradesh, India. The analysis of the data showed that 1.3, 75.52, 47.93, and 31.03% of groundwater samples had concentrations of electrical conductivity (EC), total hardness (TH), Mg2+, and HCO3-, respectively, higher than the maximum permissible limit. Groundwater quality index (GWQI) was calculated for these 290 monitoring sites which revealed that 21 sites (7.24%) had inappropriate GWQI for drinking water, and 18 sites (7.24%) had an unsuitable index for irrigation. Most of the sampling sites (98.97%) showed high EC contents in groundwater with a mean value of 999.33 mu S/cm. Fluoride content was found within the permissible limits in 95.52% of the samples, while 4.48% had high concentrations. The use of hierarchical cluster analysis differentiated all the sites into two clusters: one with high pollution and the other with low pollution. Significant correlations exist between physicochemical and irrigation indicators in the correlation matrix. High loadings of EC, TH, Ca2+, Mg2+, Na+, Cl-, and SO42- were identified in the first principal component, which are thought to be pollution-controlled processes from anthropogenic sources. According to the Chadha diagram, CaHCO3 and Ca-Mg-HCl were the two most prevalent chemicals in the water.
引用
收藏
页码:1100 / 1121
页数:22
相关论文
共 74 条
[21]   Groundwater quality assessment using multivariate statistical technique and hydro-chemical facies in Birbhum District, West Bengal, India [J].
Das, Niladri ;
Mondal, Prolay ;
Ghosh, Ranajit ;
Sutradhar, Subhasish .
SN APPLIED SCIENCES, 2019, 1 (08)
[22]  
Doneen LD., 1964, Notes on water quality in agriculture
[23]   Multiple threats imperil freshwater biodiversity in the Anthropocene [J].
Dudgeon, David .
CURRENT BIOLOGY, 2019, 29 (19) :R960-R967
[24]   Improving prediction of water quality indices using novel hybrid machine -learning algorithms [J].
Duie Tien Bui ;
Khosravi, Khabat ;
Tiefenbacher, John ;
Nguyen, Hoang ;
Kazakis, Nerantzis .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 721
[25]   Excessive fluoride in groundwater of Central Ganga Alluvial Plain: a case study of Fatehpur, North India [J].
Dutta, V. ;
Fatima, N. ;
Kumar, N. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2019, 16 (12) :7791-7798
[26]  
Ekbal E., 2022, HydroResearch, V5, P54, DOI [10.1016/j.hydres.2022.07.002, DOI 10.1016/J.HYDRES.2022.07.002]
[27]  
FAO (Food and Agricultural Organization), 2013, IRRIGATION DRAINAGE
[28]   Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran [J].
Fathi, Ehsan ;
Zamani-Ahmadmahmoodi, Rasool ;
Zare-Bidaki, Rafat .
APPLIED WATER SCIENCE, 2018, 8 (07)
[29]  
Gupta D., 2019, ENV WE INT J SCI TEC, V14, P143
[30]   Hydro-chemical assessment of groundwater quality in Narmada River basin (Central India) [J].
Gupta, Deepak ;
Chaudhary, Supriya ;
Singh, Anubhuti ;
Shukla, Reetika ;
Kumar Mishra, Virendra .
WATER SUPPLY, 2023, 23 (02) :459-481