Abstract
The entropy water quality index (EWQI) is a simple method of comprehensively assessing water quality. This method has been widely used in groundwater quality assessment. However, the number of hydrochemical parameters selected for the evaluation can lead to inconsistent classification criteria. In this study, 12 parameters were selected, based on their importance in the groundwater quality, to redefine the classification criteria of EWQI. Therefore, the modified EWQI approach with updated classification criteria was applied to evaluate groundwater quality in the Zhouzhi Country of the Guanzhong Basin, China. The results show that considering heavy metals in the groundwater quality resulted in different EWQI classification criteria from those previously used in other studies due to the large difference in the national standard limits for heavy metals in different water quality categories. In addition, the improved EWQI showed that 1.41, 63.38, and 35.21% of the groundwater samples in the Zhouzhi County were of excellent, good and moderate groundwater quality, respectively. Compared with other classification criteria, the improved EWQI method considering more water hydrochemical parameters and heavy metal elements is more suitable and reliable for comprehensively evaluating groundwater quality.
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References
Adimalla N (2021) Application of the entropy weighted water quality index (EWQI) and the pollution index of groundwater (PIG) to assess groundwater quality for drinking purposes: a case study in a rural area of Telangana state, India. Arch Environ Contam Toxicol 80:31–40. https://doi.org/10.1007/s00244-020-00800-4
Adimalla N, Li P (2018) Occurrence, health risks, and geochemical mechanisms of fluoride and nitrate in groundwater of the rock-dominant semi-arid region, Telangana state, India. Hum Ecol Risk Assess 25:81–103. https://doi.org/10.1080/10807039.2018.1480353
Ali S, Thakur SK, Sarkar A, Shekhar S (2016) Worldwide contamination of water by fluoride. Environ Chem Lett 14:291–315. https://doi.org/10.1007/s10311-016-0563-5
Ali A, Strezov V, Davies P, Wright I (2017) Environmental impact of coal mining and coal seam gas production on surface water quality in the Sydney basin, Australia. Environ Monit Assess 189:408. https://doi.org/10.1007/s10661-017-6110-4
Ali S, Shekhar S, Bhattacharya P, Verma G, Chandrasekhar T, Chandrashekhar A (2018) Elevated fluoride in groundwater of Siwani block, western Haryana, India: a potential concern for sustainable water supplies for drinking and irrigation. Groundw Sustain Dev 7:410–420. https://doi.org/10.1016/j.gsd.2018.05.008
Ali S, Shekhar S, Chandrasekhar T, Yadav AK, Arora NK, Kashyap CA, Bhattacharya P, Rai S, Pande P, Chandrasekharam D (2021) Influence of the water–sediment interaction on the major ions chemistry and fluoride pollution in groundwater of the older alluvial plains of Delhi, India. J Earth Syst Sci 130:98. https://doi.org/10.1007/s12040-021-01585-3
Amiri V, Rezaei M, Sohrabi N (2014) Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat, Iran. Environ Earth Sci 72:3479–3490. https://doi.org/10.1007/s12665-014-3255-0
An Z, Zhang P, Vogel H, Song Y, Dodson J, Wiersberg T, Feng X, Lu H, Ai L, Sun Y (2020) Scientific drilling workshop on the Weihe basin drilling project (WBDP): cenozoic tectonic–monsoon interactions. Scientific Drilling 28:63–73. https://doi.org/10.5194/sd-28-63-2020
Edokpayi JN, Enitan AM, Mutileni N, Odiyo JO (2018) Evaluation of water quality and human risk assessment due to heavy metals in groundwater around Muledane area of Vhembe district, Limpopo province, South Africa. Chem Cent J 12:2. https://doi.org/10.1186/s13065-017-0369-y
Egbueri JC, Ameh PD, Unigwe CO (2020a) Integrating entropy-weighted water quality index and multiple pollution indices towards a better understanding of drinking water quality in Ojoto area. SE Nigeria Scientific African 10:e00644. https://doi.org/10.1016/j.sciaf.2020.e00644
Egbueri JC, Ezugwu CK, Ameh PD, Unigwe CO, Ayejoto DA (2020b) Appraising drinking water quality in Ikem rural area (Nigeria) based on chemometrics and multiple indexical methods. Environ Monit Assess 192:308. https://doi.org/10.1007/s10661-020-08277-3
Fadel A, Kanj M, Slim K (2021) Water quality index variations in a Mediterranean reservoir: a multivariate statistical analysis relating it to different variables over 8 years. Environ Earth Sci 80:65. https://doi.org/10.1007/s12665-020-09364-x
Fida M, Li P, Wang Y, Alam SMK, Nsabimana A (2022) Water contamination and human health risks in Pakistan: a review. Expo Health. https://doi.org/10.1007/s12403-022-00512-1
General Administration of Quality Supervision, Inspection & Quarantine of China, Standardization Administration of China (2017) Standard for groundwater quality (GB/T 14848–2017). China Standards Press, Beijing. (in Chinese)
Gibbs RJ (1970) Mechanisms controlling world water chemistry. Science 170(3962):1088–1090. https://doi.org/10.1126/science.170.3962.1088
Guo H, Wen D, Liu Z, Jia Y, Guo Q (2014) A review of high arsenic groundwater in mainland and Taiwan, China: distribution, characteristics and geochemical processes. Appl Geochem 41:196–217. https://doi.org/10.1016/j.apgeochem.2013.12.016
Hart KA, Kennedy GW, Sterling SM (2021) Distribution, drivers, and threats of aluminum in groundwater in Nova Scotia, Canada. Water 13:1578. https://doi.org/10.3390/w13111578
He S, Li P (2020) A MATLAB based graphical user interface (GUI) for quickly producing widely used hydrogeochemical diagrams. Geochemistry 80(4):125550. https://doi.org/10.1016/j.chemer.2019.125550
He B, He J, Sun J, Wang J, Wen D, Jing J, Peng C, Zhang C (2022) Research status and suggestions on the comprehensive evaluation of regional groundwater pollution. Earth Sci Front. https://doi.org/10.13745/j.esf.sf.2022.1.29(inChinese)
He X, Li P, Ji Y, Wang Y, Su Z, Elumalai V (2020) Groundwater arsenic and fluoride and associated arsenicosis and fluorosis in China: occurrence, distribution and management. Expo Health 12(3):355–368. https://doi.org/10.1007/s12403-020-00347-8
He X, Li P, Wu J, Wei M, Ren X, Wang D (2021) Poor groundwater quality and high potential health risks in the Datong basin, northern China: research from published data. Environ Geochem Health 43:791–812. https://doi.org/10.1007/s10653-020-00520-7
He XD, Wu JH, He S (2019) Hydrochemical characteristics and quality evaluation of groundwater in terms of health risks in Luohe aquifer in Wuqi county of the Chinese Loess Plateau, northwest China. Hum Ecol Risk Assess 25:32–51. https://doi.org/10.1080/10807039.2018.1531693
Hu G, Mian HR, Dyck R, Mohseni M, Jasim S, Hewage K, Sadiq R (2020) Drinking water treatments for arsenic and manganese removal and health risk assessment in white rock, Canada. Expo Health 12:793–807. https://doi.org/10.1007/s12403-019-00338-4
Hussain R, Wei C, Luo K (2019) Hydrogeochemical characteristics, source identification and health risks of surface water and groundwater in mining and non-mining areas of Handan, China. Environ Earth Sci 78:402. https://doi.org/10.1007/s12665-019-8350-9
Hynds PD, Murphy HM, Kelly I, Fallon U (2014) Groundwater protection, risk awareness, knowledge transfer and public health: the role of “future custodians.” Water Resour Manag 28:5199–5215. https://doi.org/10.1007/s11269-014-0811-z
Islam AMT, Islam HMT, Mia MU, Khan R, Habib MA, Bodrud-Doza M, Siddique MA, Chu RH (2020) Co-distribution, possible origins, status and potential health risk of trace elements in surface water sources from six major river basins, Bangladesh. Chemosphere 249:126180. https://doi.org/10.1016/j.chemosphere.2020.126180
Ismail S, Ahmed MF (2021) GIS-based spatio-temporal and geostatistical analysis of groundwater parameters of Lahore region Pakistan and their source characterization. Environ Earth Sci 80:719. https://doi.org/10.1007/s12665-021-10034-9
Ji Y, Wu J, Wang Y, Elumalai V, Subramani T (2020) seasonal variation of drinking water quality and human health risk assessment in Hancheng city of Guanzhong plain, China. Expo Health 12:469–485. https://doi.org/10.1007/s12403-020-00357-6
Kong FH, Song JX, Zhang Y, Fu GB, Cheng DD, Zhang GT, Xue Y (2019) Surface water-groundwater interaction in the Guanzhong section of the Weihe river basin, China. Groundwater 57:647–660. https://doi.org/10.1111/gwat.12854
Kumar PJS, Augustine CM (2022) Entropy-weighted water quality index (EWQI) modeling of groundwater quality and spatial mapping in Uppar Odai sub-Basin, south India. Modeling Earth Syst Environ 8:911–924. https://doi.org/10.1007/s40808-021-01132-5
Kumar M, Goswami R, Patel AK, Srivastava M, Das N (2020) Scenario, perspectives and mechanism of arsenic and fluoride co-occurrence in the groundwater: a review. Chemosphere 249:126126. https://doi.org/10.1016/j.chemosphere.2020.126126
Li P, Wu J (2019) Drinking water quality and public health. Expo Health 11:73–79. https://doi.org/10.1007/s12403-019-00299-8
Li P, Wu J (2022) Medical geology and medical geochemistry: an editorial introduction. Expo Health 14(2):217–218. https://doi.org/10.1007/s12403-022-00479-z
Li PY, Qian H, Wu JH (2010) Groundwater quality assessment based on improved water quality index in Pengyang county, Ningxia, Northwest China. E-J Chem 7(S1):S209–S216. https://doi.org/10.1155/2010/451304
Li P, Wu J, Qian H, Lyu X, Liu H (2014) Origin and assessment of groundwater pollution and associated health risk: a case study in an industrial park, northwest China. Environ Geochem Health 36:693–712. https://doi.org/10.1007/s10653-013-9590-3
Li P, Wu J, Qian H (2016a) Hydrochemical appraisal of groundwater quality for drinking and irrigation purposes and the major influencing factors: a case study in and around Hua County, China. Arab J Geosci 9:15. https://doi.org/10.1007/s12517-015-2059-1
Li PY, Zhang YT, Yang NA, Jing LJ, Yu PY (2016b) Major ion chemistry and quality assessment of groundwater in and around a mountainous tourist town of China. Expo Health 8:239–252. https://doi.org/10.1007/s12403-016-0198-6
Li PY, Wu JH, Tian R, He S, He XD, Xue CY, Zhang K (2018) Geochemistry, hydraulic connectivity and quality appraisal of multilayered groundwater in the Hongdunzi coal mine, northwest China. Mine Water Environ 37:222–237. https://doi.org/10.1007/s10230-017-0507-8
Li P, He X, Guo W (2019) Spatial groundwater quality and potential health risks due to nitrate ingestion through drinking water: a case study in Yan’an city on the Loess Plateau of northwest China. Hum Ecol Risk Assess 25:11–31. https://doi.org/10.1080/10807039.2018.1553612
Li Y, Li P, Cui X, He S (2021) Groundwater quality, health risk, and major influencing factors in the lower Beiluo river watershed of northwest China. Hum Ecol Risk Assess 27:1987–2013. https://doi.org/10.1080/10807039.2021.1940834
Li P, Wu J, Shukla S (2022) Achieving the one health goal: highlighting groundwater quality and public health. Water 14(21):3540. https://doi.org/10.3390/w14213540
Liu F, Qian H, Shi Z, Wang H (2019) Long-term monitoring of hydrochemical characteristics and nitrogen pollution in the groundwater of Yinchuan area, Yinchuan Basin of northwest China. Environ Earth Sci 78:700. https://doi.org/10.1007/s12665-019-8695-0
Liu J, Gao M, Jin D, Wang T, Yang J (2020) Assessment of groundwater quality and human health risk in the Aeolian-sand area of Yulin City, northwest China. Expo Health 12:671–680. https://doi.org/10.1007/s12403-019-00326-8
Liu L, Wu J, He S, Wang L (2022) Occurrence and distribution of groundwater fluoride and manganese in the Weining plain (China) and their probabilistic health risk quantification. Expo Health 14(2):263–279. https://doi.org/10.1007/s12403-021-00434-4
Luque-Espinar JA, Chica-Olmo M (2020) Impacts of anthropogenic activities on groundwater quality in a detritic aquifer in SE Spain. Expo Health 12:681–698. https://doi.org/10.1007/s12403-019-00327-7
Marghade D, Malpe DB, Duraisamy K, Patil PD, Li P (2021) Hydrogeochemical evaluation, suitability, and health risk assessment of groundwater in the watershed of Godavari basin, Maharashtra, central India. Environ Sci Pollut Res 28:18471–18494. https://doi.org/10.1007/s11356-020-10032-7
Masood A, Aslam M, Pham QB, Khan W, Masood S (2022) Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality. Environ Sci Pollut Res 29:26860–26876. https://doi.org/10.1007/s11356-021-17594-0
Maurya J, Pradhan SN, Seema GAK (2021) Evaluation of ground water quality and health risk assessment due to nitrate and fluoride in the middle Indo-Gangetic plains of India. Hum Ecol Risk Assess 27(5):1349–1365. https://doi.org/10.1080/10807039.2020.1844559
Ministry of Health of the People’s Republic of China, Standardization Administration of the People’s Republic of China (2006) Standard Examination Methods for Drinking Water (GB/T 5750-2006). China Standards Press, Beijing (in Chinese)
Mthembu PP, Elumalai V, Li P, Sivakumar U, Rajmohan N, Chidambaram S (2022) Integration of heavy metal pollution indices and health risk assessment of groundwater in semi-arid coastal aquifers, South Africa. Expo Health 14(2):487–502. https://doi.org/10.1007/s12403-022-00478-0
Nguyen AH, Pham NTT, Tat VMH, Truong HT, Vo PL (2021) Application of entropy weight in groundwater quality index (EWQI) and GIS for groundwater quality zoning in the southeastern coastal region, Vietnam. IOP Conf Ser: Earth Environ Sci 652:012005. https://doi.org/10.1088/1755-1315/652/1/012005
Panneerselvam B, Muniraj K, Pande C, Ravichandran N, Thomas M, Karuppannan S (2021) Geochemical evaluation and human health risk assessment of nitrate-contaminated groundwater in an industrial area of south India. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-17281-0
Piper AM (1944) A graphic procedure in the geochemical interpretation of water-analyses. Trans Am Geophys Union 25:914. https://doi.org/10.1029/tr025i006p00914
Qiao Y, Liang X-J, Wang Y-B, Yan B-Z, Liu H-Z, Liu J (2015) Evaluation of groundwater quality using improved fuzzy mathematical model. China Water Resour Power 33:27–30 (in Chinese)
Qiao J, Zhu Y, Jia X, Shao M, Niu X, Liu J (2020) Distributions of arsenic and other heavy metals, and health risk assessments for groundwater in the Guanzhong plain region of China. Environ Res 181:108957. https://doi.org/10.1016/j.envres.2019.108957
Raheja H, Goel A, Pal M (2022) Prediction of groundwater quality indices using machine learning algorithms. Water Pract Technol 17(1):336–351. https://doi.org/10.2166/wpt.2021.120
Ravindra K, Thind PS, Mor S, Singh T, Mor S (2019) Evaluation of groundwater contamination in Chandigarh: source identification and health risk assessment. Environ Pollut 255:113062. https://doi.org/10.1016/j.envpol.2019.113062
Sathe SS, Mahanta C, Subbiah S (2021) Hydrogeochemical evaluation of intermittent alluvial aquifers controlling arsenic and fluoride contamination and corresponding health risk assessment. Expo Health 13:661–680. https://doi.org/10.1007/s12403-021-00411-x
Shankar BS, Sreevidya R (2020) A novel approach for the formulation of modified water quality index and its application for groundwater quality appraisal and grading. Hum Ecol Risk Assess 10:2812–2823. https://doi.org/10.1080/10807039.2019.1688638
Singh KR, Dutta R, Kalamdhad AS, Kumar B (2019) Information entropy as a tool in surface water quality assessment. Environ Earth Sci 78:15. https://doi.org/10.1007/s12665-018-7998-x
Sivasankar V, Omine K, Msagati TAM, KumarChandramohan MSA (2013) Evaluation of groundwater quality in Madurai city, south India for drinking, irrigation and construction purposes. Arab J Geosci 7:3093–3107. https://doi.org/10.1007/s12517-013-0994-2
Su H, Kang WD, Xu YJ, Wang JD (2018) Assessing groundwater quality and health risks of nitrogen pollution in the Shenfu mining area of Shaanxi province, northwest China. Expo Health 10:77–97. https://doi.org/10.1007/s12403-017-0247-9
Su F, Wu J, He S (2019) Set pair analysis-Markov chain model for groundwater quality assessment and prediction: a case study of Xi’an City, China. Hum Ecol Risk Assess 25(1–2):158–175. https://doi.org/10.1080/10807039.2019.1568860
Su Z, Wu J, He X, Elumalai V (2020) Temporal changes of groundwater quality within the groundwater depression cone and prediction of confined groundwater salinity using Grey Markov model in Yinchuan area of northwest China. Expo Health 12:447–468. https://doi.org/10.1007/s12403-020-00355-8
Subba Rao N, Dinakar A, Kumari BK (2021) Appraisal of vulnerable zones of non-cancer-causing health risks associated with exposure of nitrate and fluoride in groundwater from a rural part of India. Environl Res 202:111674. https://doi.org/10.1016/j.envres.2021.111674
Subba Rao N, Sunitha B, Das R, Anil Kumar B (2022a) Monitoring the causes of pollution using groundwater quality and chemistry before and after the monsoon. Phys Chem Earth, Parts a/b/c 128:103228. https://doi.org/10.1016/j.pce.2022.103228
Subba Rao N, Dinakar A, Sun L (2022b) Estimation of groundwater pollution levels and specific ionic sources in the groundwater, using a comprehensive approach of geochemical ratios, pollution index of groundwater, unmix model and land use/land cover - a case study. J Contam Hydrol 248:103990. https://doi.org/10.1016/j.jconhyd.2022.103990
Tian R, Wu J (2019) Groundwater quality appraisal by improved set pair analysis with game theory weightage and health risk estimation of contaminants for Xuecha drinking water source in a loess area in northwest China. Hum Ecol Risk Assess 25(1–2):132–157. https://doi.org/10.1080/10807039.2019.1573035
Tian H, Du J, Ma S, Kang Z, Gong Y (2021) Application of water quality index and multivariate statistical analysis in the hydrogeochemical assessment of shallow groundwater in Hailun, northeast China. Hum Ecol Risk Assess 3:651–667. https://doi.org/10.1080/10807039.2020.1749827
Tiwari AK, De Maio M, Singh PK, Singh AK (2016) Hydrogeochemical characterization and groundwater quality assessment in a coal mining area, India. Arab J Geosci 9:177. https://doi.org/10.1007/s12517-015-2209-5
Tiwari AK, Singh PK, Mahato MK (2017) Assessment of metal contamination in the mine water of the west Bokaro coalfield, India. Mine Water Environ 36:532–541. https://doi.org/10.1007/s10230-017-0440-x
Wang Y, Li P (2022) Appraisal of shallow groundwater quality with human health risk assessment in different seasons in rural areas of the Guanzhong Plain (China). Environ Res 207:112210. https://doi.org/10.1016/j.envres.2021.112210
Wang Y, Zhang Y, Wang H, Gong Y, Ran L (2014) Comparative analysis and application of groundwater quality comprehensive evaluation methods. Hebei J Ind Sci Technol 31:3–8. https://doi.org/10.7535/hbgykj.2014yx06001
Wang D, Wu J, Wang Y, Ji Y (2020) Finding high-quality groundwater resources to reduce the hydatidosis incidence in the Shiqu county of Sichuan Province, China: analysis, assessment, and management. Expo Health 12:307–322. https://doi.org/10.1007/s12403-019-00314-y
Wei M, Wu J, Li W, Zhang Q, Su F, Wang Y (2022) Groundwater geochemistry and its impacts on groundwater arsenic enrichment, variation, and health risks in Yongning County, Yinchuan Plain of northwest China. Expo Health 14(2):219–238. https://doi.org/10.1007/s12403-021-00391-y
Wu J, Li P, Qian H, Chen J (2015) On the sensitivity of entropy weight to sample statistics in assessing water quality: statistical analysis based on large stochastic samples. Environ Earth Sci 74:2185–2195. https://doi.org/10.1007/s12665-015-4208-y
Wu J, Li P, Wang D, Ren X, Wei M (2020a) Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau. Hum Ecol Risk Assess 26:1603–1621. https://doi.org/10.1080/10807039.2019.1594156
Wu YT, Bu LJ, Duan XD, Zhu SM, Kong MH, Zhu NY, Zhou SQ (2020b) Mini review on the roles of nitrate/nitrite in advanced oxidation processes: radicals transformation and products formation. J Clean Prod 273:123065. https://doi.org/10.1016/j.jclepro.2020.123065
Xu P, Zhang Q, Qian H, Li M, Hou K (2019) Characterization of geothermal water in the piedmont region of qinling mountains and lantian-bahe group in Guanzhong Basin, China. Environ Earth Sci 78:442. https://doi.org/10.1007/s12665-019-8418-6
Zhang YH, Xu M, Li X, Qi JH, Zhang Q, Guo J, Yu LL, Zhao R (2018) Hydrochemical characteristics and multivariate statistical analysis of natural water system: a case study in Kangding county. Southwestern China Water 10:80. https://doi.org/10.3390/w10010080
Zhang Q, Xu P, Qian H (2019) Assessment of groundwater quality and human health risk (HHR) evaluation of nitrate in the central-western Guanzhong basin, China. Int J Environ Res Public Health 16:4246. https://doi.org/10.3390/ijerph16214246
Zhang Y, Hou K, Qian H (2020) Water quality assessment using comprehensive water quality index and modified nemerow index method: a case study of Jinghui canal, north China. IOP Conf Ser: Earth Environ Sci 467:012125. https://doi.org/10.1088/1755-1315/467/1/012125
Zhang W, Li B, Liu Z, Zhang B (2021a) Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county. Earth Sci Inf 14:1101–1109. https://doi.org/10.1007/s12145-021-00611-8
Zhang Y, Li X, Luo M, Wei C, Huang X, Xiao Y, Qin L, Pei Q, Gao X (2021b) Hydrochemistry and entropy-based groundwater quality assessment in the suining area, Southwestern China. J Chem 2021:5591892. https://doi.org/10.1155/2021/5591892
Zhang Q, Li P, Lyu Q, Ren X, He S (2022a) Groundwater contamination risk assessment using a modified DRATICL model and pollution loading: a case study in the Guanzhong Basin of China. Chemosphere 291:132695. https://doi.org/10.1016/j.chemosphere.2021.132695
Zhang Z, Guo Y, Wu J, Su F (2022b) Surface water quality and health risk assessment in Taizhou city, Zhejiang Province (China). Expo Health 14:1–16. https://doi.org/10.1007/s12403-021-00408-6
Zhang L, Li P, He X (2022c) Interactions between surface water and groundwater in selected tributaries of the Wei River (China) revealed by hydrochemistry and stable isotopes. Hum Ecol Risk Assess 28(1):79–99. https://doi.org/10.1080/10807039.2021.2016054
Zhou Y, Wu J, Gao X, Guo W, Chen W (2022) Hydrochemical background levels and threshold values of phreatic groundwater in the greater Xian region, China: spatiotemporal distribution, influencing factors and implication to water quality management. Expo Health. https://doi.org/10.1007/s12403-022-00521-0
Zotou I, Tsihrintzis VA, Gikas GD (2019) Performance of seven water quality indices (WQIs) in a mediterranean river. Environ Monit Assess 191:505. https://doi.org/10.1007/s10661-019-7652-4
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This work was supported by the National Natural Science Foundation of China (42072286 and 41761144059), the Qinchuangyuan "Scientist + Engineer" Team Development Program of the Shaanxi Provincial Department of Science and Technology (2022KXJ-005), the Fok Ying Tong Education Foundation (161098), and the National Ten Thousand Talent Program (W03070125).
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Y Yang: data collection, data analysis, and original draft preparation. P Li: data review, supervision, data analysis, and revisions. V Elumalai, J Ning, F Xu, and D Mu: reviewing, and editing.
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Yang, Y., Li, P., Elumalai, V. et al. Groundwater Quality Assessment Using EWQI With Updated Water Quality Classification Criteria: A Case Study in and Around Zhouzhi County, Guanzhong Basin (China). Expo Health 15, 825–840 (2023). https://doi.org/10.1007/s12403-022-00526-9
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DOI: https://doi.org/10.1007/s12403-022-00526-9