Heavy metal pollution indices estimation and principal component analysis to evaluate the groundwater quality for drinking purposes in coalfield region, India

被引:2
作者
Dheeraj, Vijayendra Pratap [1 ]
Singh, C. S. [1 ]
Sonkar, Ashwani Kumar [1 ]
Kishore, Nawal [1 ]
机构
[1] Banaras Hindu Univ, Indian Inst Technol, Dept Min Engn, Varanasi 221005, India
关键词
Groundwater; Heavy metals; KCF region; Scatter plot; Principal component analysis; Scree plot; Loading plot; Score plot; MINING AREA; RIVER-BASIN; WATER; CONTAMINATION; GIS;
D O I
10.1007/s40899-023-01013-y
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Open-cast coal mining significantly influences groundwater chemistry day by day through contaminated leachate from overburden dumps. In order to examine this, the groundwater samples from the Korba Coalfield (KCF) region were collected to assess metal toxicity, locate potential sources, and derive metal indices. The concentrations of 10 heavy metals such as Al, Ba, Cd, Cr, Cu, Fe, Mn, Pb, Ni, and Zn were measured out of which few metals such as Al (5.71%), Mn (14.29%), Ni (11.43%), and Zn (2.86%) at a few sites exceeded the World Health Organization (WHO) and Bureau of Indian Standards (BIS) acceptable limits for drinking water. Thus, different methods such as HPI, HEI and MI were used to interpret the pollution index. The findings show that HPI (97.14%) and HEI (94.29%) values are low to medium, while MI (91.43%) is very pure to slightly affected, indicating groundwater are safe for drinking purposes. Furthermore, the scatter plot shows a moderate correlation between HPI and MI (R-2 = 0.81), whereas a poor correlation between HEI and MI (R-2 = 0.52), and between HPI and HEI (R-2 = 0.41), respectively. In addition, PCA generated four PCs (PC1, PC2, PC3, and PC4) with eigenvalues (> 1) of 2.57, 1.818, 1.326, and 1.206 accounting for 25.70%, 18.18%, 13.26%, and 12.06% of the overall variance. Therefore, around 40% of the metals loaded under PC1 and PC2 have a considerably large positive loading, whereas 20% of the large loadings have a significant negative loading (>= 0.40), responsible for governing the concentration of metals in the groundwater in the examined area. PC3 and PC4, although large and positive loading by two variables each, were insignificant due to lower variance (13.26% and 12.06%). Overall, this current study demonstrates that the quality of groundwater is adequate for drinking uses, except few locations which have high metal concentrations. The variation in the concentration of heavy metals affects the human being as well as animals and causes a number of diseases.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] A GIS-based assessment of water quality pollution indices for heavy metal contamination in Tuticorin Corporation, Tamilnadu, India
    S. Selvam
    S. Venkatramanan
    C. Singaraja
    Arabian Journal of Geosciences, 2015, 8 : 10611 - 10623
  • [42] Groundwater quality evaluation using water quality index (WQI) for drinking purposes and human health risk (HHR) assessment in an agricultural region of Nanganur, south India
    Adimalla, Narsimha
    Qian, Hui
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2019, 176 : 153 - 161
  • [43] Comprehensive assessment of groundwater quality using heavy metal pollution indices and geospatial technique: a case study from Wanaparthy watershed of upper Krishna River basin, Telangana, India
    Suantak Paolalsiam Vaiphei
    Rama Mohan Kurakalva
    Environmental Earth Sciences, 2021, 80
  • [44] Application of principal component analysis for the estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir
    Loska, K
    Wiechula, D
    CHEMOSPHERE, 2003, 51 (08) : 723 - 733
  • [45] Monitoring of groundwater quality for drinking purposes using the WQI method and its health implications around inactive mines in Vemula-Vempalli region, Kadapa District, South India
    Yenugu, Sudharshan Reddy
    Vangala, Sunitha
    Badri, Suvarna
    APPLIED WATER SCIENCE, 2020, 10 (08)
  • [46] Assessment of potability of minewater pumped out from Jharia Coalfield, India: an integrated approach using integrated water quality index, heavy metal pollution index, and multivariate statistics
    Baruah, Pritam Mazinder
    Singh, Gurdeep
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (18) : 27366 - 27381
  • [47] Hydrogeochemical and GIS Analysis of Groundwater Quality for Drinking and Irrigation Purposes in Kuzhithuraiyar Sub-Basin, Kanniyakumari District, Tamil Nadu, India
    Raxana, R. Athsha Great
    Sellamuthu, Venkateswaran
    Jothimani, Muralitharan
    APPLIED AND ENVIRONMENTAL SOIL SCIENCE, 2024, 2024
  • [48] Heavy Metal Pollution in River Ulhas, Maharashtra, India: Unraveling Contamination Dynamics Through Pollution Indices, Multivariate Analysis, and Health Risk Assessment
    Botle, Akshay
    Salgaonkar, Sayli
    Tiwari, Rahul
    Barabde, Gayatri
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 2025, 19 (03)
  • [49] Groundwater quality assessment using water quality index and principal component analysis in the Achnera block, Agra district, Uttar Pradesh, Northern India
    Shahjad Ali
    Sitaram Verma
    Manish Baboo Agarwal
    Raisul Islam
    Manu Mehrotra
    Rajesh Kumar Deolia
    Jitendra Kumar
    Shailendra Singh
    Ali Akbar Mohammadi
    Deep Raj
    Manoj Kumar Gupta
    Phuyen Dang
    Mehdi Fattahi
    Scientific Reports, 14
  • [50] Groundwater quality assessment using water quality index and principal component analysis in the Achnera block, Agra district, Uttar Pradesh, Northern India
    Ali, Shahjad
    Verma, Sitaram
    Agarwal, Manish Baboo
    Islam, Raisul
    Mehrotra, Manu
    Deolia, Rajesh Kumar
    Kumar, Jitendra
    Singh, Shailendra
    Mohammadi, Ali Akbar
    Raj, Deep
    Gupta, Manoj Kumar
    Dang, Phuyen
    Fattahi, Mehdi
    SCIENTIFIC REPORTS, 2024, 14 (01)