Assessment of groundwater quality in Ranchi district, Jharkhand, India, using water evaluation indices and multivariate statistics

被引:7
|
作者
Mishra, Akash [1 ]
Lal, Bindhu [1 ]
机构
[1] Birla Inst Technol Mesra, Dept Civil & Environm Engn, Ranchi 835215, Jharkhand, India
关键词
Multiple linear regressions; Water quality index; Heavy metal and metalloid; Modified degree of contamination; Metal index; HEAVY-METALS; RIVER-BASIN; HYDROGEOCHEMISTRY; AQUIFER;
D O I
10.1007/s10661-023-11101-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is the most abundant liquid freshwater on earth. Rapid urbanization in developing nations (like India) has led to increased groundwater withdrawal, adversely affecting the physicochemical characteristics. Ranchi district, Jharkhand, is a part of the smart city mission development plan of the government of India. Hence, to ensure safe and clean drinking water, it is necessary to assess groundwater quality and devise development plans. Seventeen physicochemical properties and metal(loid)s contents were analyzed to determine the groundwater quality. Various pollution indices such as water quality index (WQI), metal evaluation index (MI), heavy metal pollution index (HPI), and modified degree of contamination (mC(d)) are evaluated using arithmetic weighted value index and presented in a map using Arc GIS inverse distance weighting interpolation method. Chemometric analyses such as correlation, principal component, and cluster analysis were done to identify the source and determine the pollution state. A multiple linear regression model is employed to predict the impact of heavy metal and metalloid concentration on the WQI of the region. WQI shows that groundwater quality in Khelari (100.95) and Bundu (92.52) regions are highly degraded, whereas MI and HPI suggest that Ormanjhi (MI = 53.98) and Rahe (HPI = 109.20) are highly affected by metal contamination. The mC(d) suggests that Ormanjhi (97.15) has the highest degree of contamination. The contaminant sources were natural (geogenic processes) and anthropogenic (mining and industrial emissions). The high metal(loid)s concentration may soon result in groundwater quality degradation in the metal-affected regions.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Hydrogeochemical investigation and qualitative assessment of groundwater resources in Bokaro district, Jharkhand, India
    Singh, Prasoon Kumar
    Verma, Poornima
    Tiwari, Ashwnai Kumar
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (17)
  • [22] Evaluation of river water quality using multivariate statistics and water quality indices: A case of Goynük canyon (Turkey)
    Kareem, Junaid
    Leventeli, Yasemin
    [J]. KUWAIT JOURNAL OF SCIENCE, 2024, 51 (03)
  • [23] Assessment of Groundwater Quality Using Water Quality Indices: A Case Study of Paliganj Distributary, Bihar, India
    Praveen, K.
    Roy, L. B.
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (01) : 8199 - 8203
  • [24] Hydrogeochemical investigation and qualitative assessment of groundwater resources in Bokaro district, Jharkhand, India
    Prasoon Kumar Singh
    Poornima Verma
    Ashwnai Kumar Tiwari
    [J]. Arabian Journal of Geosciences, 2018, 11
  • [25] Groundwater quality in Ghaziabad district, Uttar Pradesh, India: Multivariate and health risk assessment
    Chabukdhara, Mayuri
    Gupta, Sanjay Kumar
    Kotecha, Yatharth
    Nema, Arvind K.
    [J]. CHEMOSPHERE, 2017, 179 : 167 - 178
  • [26] Development and evaluation of a water quality index for groundwater quality assessment in parts of Jabalpur District, Madhya Pradesh, India
    Ghoderao, Sudesh Bhaskar
    Meshram, Sarita Gajbhiye
    Meshram, Chandrashekhar
    [J]. WATER SUPPLY, 2022, 22 (06) : 6002 - 6012
  • [27] Water Quality Assessment, Possible Pollution Source Identification from Anthropogenically Stressed River Yamuna, India using Hydrochemical, Water Quality Indices and Multivariate Statistics Analysis
    Kumar, Vikas
    Alam, Absar
    Kumar, Jeetendra
    Thakur, Venkatesh Ramrao
    Kumar, Vijay
    Srivastava, Saket K.
    Jha, Dharm Nath
    Das, Basanta Kumar
    [J]. Water, Air, and Soil Pollution, 2024, 235 (12):
  • [28] Hydrochemical evaluation of Rangit river, Sikkim, India: using Water Quality Index and multivariate statistics
    Gupta, S.
    Nayek, S.
    Chakraborty, D.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (07)
  • [29] Hydrochemical evaluation of Rangit river, Sikkim, India: using Water Quality Index and multivariate statistics
    S. Gupta
    S. Nayek
    D. Chakraborty
    [J]. Environmental Earth Sciences, 2016, 75
  • [30] Integrated Assessment and Geostatistical Evaluation of Groundwater Quality through Water Quality Indices
    Naz, Iram
    Ahmad, Ijaz
    Aslam, Rana Waqar
    Quddoos, Abdul
    Yaseen, Andaleeb
    [J]. WATER, 2024, 16 (01)