Spatial water quality assessment of a mountain stream in northwestern India using multivariate statistical techniques

被引:4
|
作者
Kumar, Ravinder [1 ]
Dutt, Vandana [1 ]
Raina, Anil [1 ]
Sharma, Neeraj [2 ]
机构
[1] Univ Jammu, Dept Environm Sci, Jammu, India
[2] Univ Jammu, Inst Mt Environm, Bhaderwah Campus, Jammu, India
关键词
Neeru stream; Water quality index; Irrigation water quality; Cluster analysis; Hydrochemistry; Health risk assessment; Pollution load; GROUNDWATER QUALITY; ANTHROPOGENIC FACTORS; HEAVY-METALS; RIVER-BASIN; GANGA RIVER; PATTERNS; SURFACE; CONTAMINATION; LANDSCAPE; DRINKING;
D O I
10.1007/s10661-022-10386-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The water quality of Himalayan rivers and streams is deteriorating due to multitude of anthropogenic and natural influences and the changes are more pronounced in smaller hill basins with high human influx. Inadequate data and lack of monitoring further exacerbate the situation. The surface water quality of one such hill stream, Neeru was evaluated for potability and irrigation quality. The water quality parameters were analysed at 25 sampling stations over a stretch of 30 km across four seasons during a 2-year study from January 2014 to December 2015. The CCME Water Quality Index (WQI) indicated excellent water quality in upstream stations, while the midstream and a few downstream stations revealed varying degrees of impaired water quality. Although the irrigation quality of the stream was excellent, pollution levels near urban areas were rather high, necessitating considerable treatment for human consumption. The factor analysis yielded seven components with Eigenvalues greater than one that accounted for 83.656% of the variance and enabled the grouping of selected parameters based on comparable characteristics. The hydrogeochemical characteristics of the water samples indicated that they lie within the zone of rock dominance, while the trilinear diagram depicted the Ca-bicarbonate rich stream water. The study concluded that the upstream stations revealed pristine water quality, which significantly degraded towards human settlements. It thus calls for regular and long-term monitoring of the surface water quality to ensure the continuous and sustainable use of this important water body.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Water quality assessment of the Jinshui River (China) using multivariate statistical techniques
    Hongmei Bu
    Xiang Tan
    Siyue Li
    Quanfa Zhang
    Environmental Earth Sciences, 2010, 60 : 1631 - 1639
  • [22] An assessment of water quality in the Coruh Basin (Turkey) using multivariate statistical techniques
    Ayla Bilgin
    Environmental Monitoring and Assessment, 2015, 187
  • [23] An assessment of water quality in the Coruh Basin (Turkey) using multivariate statistical techniques
    Bilgin, Ayla
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (11)
  • [24] Water Quality Assessment of River Tawi, Jammu Using Water Quality Index and Multivariate Statistical Techniques
    Panjgotra, Shivali
    Rishi, Madhuri S.
    Awasthi, Ashima
    WATER RESOURCES, 2022, 49 (06) : 1059 - 1069
  • [25] Water Quality Assessment of River Tawi, Jammu Using Water Quality Index and Multivariate Statistical Techniques
    Shivali Panjgotra
    Madhuri S. Rishi
    Ashima Awasthi
    Water Resources, 2022, 49 : 1059 - 1069
  • [26] 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
  • [27] Water Quality Assessment and Turbidity Prediction Using Multivariate Statistical Techniques: A Case Study of the Cheurfa Dam in Northwestern Algeria br
    Addouche, Amina
    Righi, Ali
    Hamri, Mehdi Mohamed
    Bengharez, Zohra
    Zizi, Zahia
    APPLIED CHEMISTRY FOR ENGINEERING, 2022, 33 (06): : 563 - 573
  • [28] Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques
    Pejman, A. H.
    Bidhendi, G. R. Nabi
    Karbassi, A. R.
    Mehrdadi, N.
    Bidhendi, M. Esmaeili
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2009, 6 (03) : 467 - 476
  • [29] Temporal and spatial analysis of water quality in Saemangeum watershed using multivariate statistical techniques
    Nankya Monica
    KyungSook Choi
    Paddy and Water Environment, 2016, 14 : 3 - 17
  • [30] Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques
    A. H. Pejman
    G. R. Nabi Bidhendi
    A. R. Karbassi
    N. Mehrdadi
    M. Esmaeili Bidhendi
    International Journal of Environmental Science & Technology, 2009, 6 : 467 - 476