Assessment of groundwater quality of Dehradun Valley, Uttarakhand, India, for drinking purposes using multivariate statistical techniques

被引:0
|
作者
Snigdha Pundir
Vikash Kandari
Prashant Singh
Rakesh Singh
M. Aslam Siddique
机构
[1] DBS (PG) College,Department of Chemistry
[2] DAV (PG) College,Department of Chemistry
[3] BFIT Group of Institutions,Deparment of Chemistry, School of Life and Allied Sciences
关键词
Dehradun Valley; Drinking water; Geographical information system; Geospatial techniques; Groundwater quality; Multivariate statistical tools; Water quality index;
D O I
暂无
中图分类号
学科分类号
摘要
Access to safe drinking water for the public is of utmost concern in developing nations to achieve sustainable development. The usage of groundwater for drinking purposes is well known on account of its less susceptibility to contamination; it is thus considered essential to examine the quality of water that is intended for public supply. This research assesses the groundwater quality of Dehradun Valley of outer Himalayas, Uttarakhand, India, for drinking purpose using geographical information system and multivariate statistical tools. The results from the research revealed groundwater of the study area dominated by calcium–magnesium–bicarbonate hydro-chemical facies, which show the occurrence of limestone/dolomite, magnesite, talc rock types in the geology of the region, controlling the hydrogeochemistry of the groundwater. Few water samples falling under the ‘mixed type’ zone of the plotted Piper diagram reflect influence of anthropogenic sources of pollution. The groundwater quality was also evaluated using the water quality index, that grouped 96% of tested water sources for having ‘excellent’ to ‘good’ water quality, whereas 4% fall under ‘fair’ category, which were not fit for consumption purposes. The physico-chemical investigations showed turbidity and iron concentration at few sources, exceeding the limits of Bureau of Indian Standards drinking water specifications. The multivariate statistical techniques (Pearson Correlation Analysis, Principal Component Analysis and Hierarchical cluster analysis) suggest the rock–water interactions and corrosion of underground pipelines and metal surfaces influence the groundwater quality in the study area. The study suggests to undertake regular maintenance and repair works of damaged underground water supply machinery, to consistently monitor and understand the groundwater characteristics of the region and identify the associated factors which can impact its quality, so as to ensure safe public water supply and to manage the groundwater sources sustainably in the study area.
引用
下载
收藏
页码:1749 / 1779
页数:30
相关论文
共 50 条
  • [1] Assessment of groundwater quality of Dehradun Valley, Uttarakhand, India, for drinking purposes using multivariate statistical techniques
    Pundir, Snigdha
    Kandari, Vikash
    Singh, Prashant
    Singh, Rakesh
    Siddique, M. Aslam
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (01) : 1749 - 1779
  • [2] Assessment of Deep Groundwater Quality in Kathmandu Valley Using Multivariate Statistical Techniques
    Chapagain, Saroj Kumar
    Pandey, Vishnu P.
    Shrestha, Sangam
    Nakamura, Takashi
    Kazama, Futaba
    WATER AIR AND SOIL POLLUTION, 2010, 210 (1-4): : 277 - 288
  • [3] Assessment of Deep Groundwater Quality in Kathmandu Valley Using Multivariate Statistical Techniques
    Saroj Kumar Chapagain
    Vishnu P. Pandey
    Sangam Shrestha
    Takashi Nakamura
    Futaba Kazama
    Water, Air, & Soil Pollution, 2010, 210 : 277 - 288
  • [4] A multivariate statistical and geospatial analysis of groundwater quality for drinking purposes in the Sagar district of Madhya Pradesh, India
    Sharma, Abhishek
    Raidas, Haridas
    Patel, Jeetendra Kumar
    Chothodi, Satheesh
    Ghosh, Pushpal
    Kumar, Ajay
    Sahoo, Sunil Kumar
    Sharma, Mukul
    Upadhyay, Niraj
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2023, 21
  • [5] A holistic review on the assessment of groundwater quality using multivariate statistical techniques
    Patel, Praharsh S.
    Pandya, Dishant M.
    Shah, Manan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (36) : 85046 - 85070
  • [6] Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques
    Gulgundi, Mohammad Shahid
    Shetty, Amba
    APPLIED WATER SCIENCE, 2018, 8 (01)
  • [7] A holistic review on the assessment of groundwater quality using multivariate statistical techniques
    Praharsh S. Patel
    Dishant M. Pandya
    Manan Shah
    Environmental Science and Pollution Research, 2023, 30 : 85046 - 85070
  • [8] Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques
    Mohammad Shahid Gulgundi
    Amba Shetty
    Applied Water Science, 2018, 8
  • [9] Groundwater Quality Assessment for Drinking and Irrigation Purposes at Al-Jouf Area in KSA Using Artificial Neural Network, GIS, and Multivariate Statistical Techniques
    Alrowais, Raid
    Daiem, Mahmoud M. Abdel
    Li, Renyuan
    Maklad, Mohamed Ashraf
    Helmi, Ahmed M.
    Nasef, Basheer M.
    Said, Noha
    WATER, 2023, 15 (16)
  • [10] Assessment of Spring Water Quality Using Water Quality Indices and Multivariate Statistical Techniques in Pithoragarh, Uttarakhand
    Thakur P.K.
    Kumar V.
    Deoli V.
    Journal of The Institution of Engineers (India): Series A, 2023, 104 (02) : 301 - 316