Assessment of groundwater quality with special reference to arsenic in Nawalparasi district, Nepal using multivariate statistical techniques

被引:25
|
作者
Yadav, Ishwar Chandra [1 ]
Devi, Ningombam Linthoingambi [2 ]
Mohan, Devendra [3 ]
Qi Shihua [4 ]
Singh, Surendra [1 ]
机构
[1] Banaras Hindu Univ, Ctr Adv Study Bot, Varanasi 221005, Uttar Pradesh, India
[2] Cent Univ Bihar, Ctr Environm Sci, Patna 800014, Bihar, India
[3] Banaras Hindu Univ, Indian Inst Technol, Dept Civil Engn, Varanasi 221005, Uttar Pradesh, India
[4] China Univ Geosci, State Key Lab Biogeol & Environm Geol, Sch Environm Studies, Wuhan 430074, Peoples R China
关键词
Multivariate; Hierarchical; Groundwater; Arsenic; Terai; Nepal; TRACE-ELEMENTS; RIVER-BASIN; WATER; PLAIN; POLLUTION; SURFACE;
D O I
10.1007/s12665-013-2952-4
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 a precious resource for humankind not only in Nepal but also across the globe due to its diverse functions. A total of 48 groundwater samples were collected from three villages of Nawalparasi district, Nepal, during pre-monsoon and monsoon to estimate the overall groundwater quality and to identify the sources of contamination with emphasis on arsenic (As). The average concentrations of all tested groundwater quality parameters (temp., pH, EC, ORP, Ca2+, Mg2+, Na+, K+, Cl-, F-,SO4 (2-), PO4 (3-), HCO3 (-), NO3 (-), Cu, Ni, Mn, Cd, Pb, Fe, Zn, Cr, and As) were well within permissible limits of WHO for drinking water, except for Ni, Cd, Pb, Cr, and As. Concentration of As ranged from 60 to 3,100 mu g L-1 and 155 to 1,338 mu g L-1 in pre-monsoon and monsoon, respectively. The Piper diagram of the groundwater chemistry showed groundwater of Nawalparasi belongs to Ca-Mg-HCO3 and Mg-HCO3 water type with HCO3 (-) as dominant ions. As content in the study area was negatively correlated with Fe in pre-monsoon, while it was positively correlated in monsoon. Furthermore, As was negatively correlated with oxidation reduction potential suggesting reducing condition of groundwater. Principal component analysis revealed seven major factors that explained 81.996 and 83.763 % of total variance in water quality in pre-monsoon and monsoon, respectively. The variance of water quality was related mainly with the degree of water-rock interaction, mineralization, and anthropogenic inputs.
引用
收藏
页码:259 / 273
页数:15
相关论文
共 50 条
  • [1] Assessment of groundwater quality with special reference to arsenic in Nawalparasi district, Nepal using multivariate statistical techniques
    Ishwar Chandra Yadav
    Ningombam Linthoingambi Devi
    Devendra Mohan
    Qi Shihua
    Surendra Singh
    [J]. Environmental Earth Sciences, 2014, 72 : 259 - 273
  • [2] Assessment of groundwater quality of Ballia district, Uttar Pradesh, India, with reference to arsenic contamination using multivariate statistical analysis
    Asha Lata Singh
    Vipin Kumar Singh
    [J]. Applied Water Science, 2018, 8
  • [3] Assessment of groundwater quality of Ballia district, Uttar Pradesh, India, with reference to arsenic contamination using multivariate statistical analysis
    Singh, Asha Lata
    Singh, Vipin Kumar
    [J]. APPLIED WATER SCIENCE, 2018, 8 (03)
  • [4] A holistic review on the assessment of groundwater quality using multivariate statistical techniques
    Patel, Praharsh S.
    Pandya, Dishant M.
    Shah, Manan
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (36) : 85046 - 85070
  • [5] Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques
    Gulgundi, Mohammad Shahid
    Shetty, Amba
    [J]. APPLIED WATER SCIENCE, 2018, 8 (01)
  • [6] A holistic review on the assessment of groundwater quality using multivariate statistical techniques
    Praharsh S. Patel
    Dishant M. Pandya
    Manan Shah
    [J]. Environmental Science and Pollution Research, 2023, 30 : 85046 - 85070
  • [7] Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques
    Mohammad Shahid Gulgundi
    Amba Shetty
    [J]. Applied Water Science, 2018, 8
  • [8] Assessment of Deep Groundwater Quality in Kathmandu Valley Using Multivariate Statistical Techniques
    Chapagain, Saroj Kumar
    Pandey, Vishnu P.
    Shrestha, Sangam
    Nakamura, Takashi
    Kazama, Futaba
    [J]. WATER AIR AND SOIL POLLUTION, 2010, 210 (1-4): : 277 - 288
  • [9] Assessment of groundwater quality using multivariate statistical techniques in Hashtgerd Plain, Iran
    Nosrati, Kazem
    Van Den Eeckhaut, Miet
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2012, 65 (01) : 331 - 344
  • [10] Assessment of groundwater quality using multivariate statistical techniques in Hashtgerd Plain, Iran
    Kazem Nosrati
    Miet Van Den Eeckhaut
    [J]. Environmental Earth Sciences, 2012, 65 : 331 - 344