An integrated study of water quality in the Ganol River Basin, India: Application of hydro-chemical, multivariate statistical, and water quality index techniques

被引:0
作者
Das, Gayatri [1 ,3 ]
Bharali, Biswadeep [2 ]
机构
[1] Assam Down Town Univ, Civil Engn Programme, Gauhati 781026, Assam, India
[2] Scholars Inst Technol & Management, Civil Engn Dept, Gauhati 781035, Assam, India
[3] Assam Down Town Univ, Fac Engn, Civil Engn Programme, Gauhati 781026, Assam, India
关键词
environmental variables; Ganol River; principal component analysis; water quality index; GROUNDWATER QUALITY; TEMPORAL VARIATIONS;
D O I
10.1002/tqem.22171
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Ganol River, a vital water source for Meghalaya, India, faces significant environmental degradation due to human activities, primarily the improper disposal of domestic and commercial wastes. This study aims to assess the current water quality of the Ganol River through hydro-chemical analysis, multivariate statistical methods, and Water Quality Index (WQI) analysis. Over a span of 6 years (2014-2020), monthly water samples were collected from ten source points or stations along the river. The findings revealed that some environmental variables had mean values below the standard limit, while others, notably dissolved oxygen (DO) and turbidity, had higher values. The Pearson correlation coefficients was used to establish the closeness or relationship within and between physico-chemical characteristics, with some displaying strong positive connections and others showing moderate to negative correlations. The study identified several key environmental contaminants, including conductivity, BOD, COD, TSS, D.O, chloride, TDS, sulphate, hardness, calcium, magnesium, potassium, fecal coliform, and total coliform, based on their highest factor loading values. Such contaminants are significantly impacting aquatic life and the overall ecosystem of the Ganol River. Moreover, the Water Quality Index (WQI) assessment indicated a continuous decline annually in the water quality of the Ganol River. This decline poses a severe threat to the river's sustainability and the well-being of the communities relying on it for various purposes.
引用
收藏
页码:955 / 966
页数:12
相关论文
共 50 条
  • [1] Water quality assessment of river Ganga, India using water quality index and multivariate statistical techniques
    Mishra, Sandeep Kumar
    Kumar, Vikas
    Kumar, Jeetendra
    Jha, Dharm Nath
    Alam, Absar
    Thakur, Venkatesh Ramrao
    Verma, Sushil kumar
    Singh, Upendra
    Das, Basanta Kumar
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2025, 197 (03)
  • [2] Evaluation of Surface Water Quality in the Betwa River Basin through the Water Quality Index Model and Multivariate Statistical Techniques
    Akiner, Muhammed Ernur
    Chauhan, Pankaj
    Singh, Sudhir Kumar
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (12) : 18871 - 18886
  • [3] Evaluation of Surface Water Quality in the Betwa River Basin through the Water Quality Index Model and Multivariate Statistical Techniques
    Muhammed Ernur Akiner
    Pankaj Chauhan
    Sudhir Kumar Singh
    Environmental Science and Pollution Research, 2024, 31 : 18871 - 18886
  • [4] Use of water quality index and multivariate statistical techniques for the assessment of spatial variations in water quality of a small river
    Dutta, Smita
    Dwivedi, Ajay
    Kumar, M. Suresh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)
  • [5] Hydro-chemical assessment of groundwater quality in Narmada River basin (Central India)
    Gupta, Deepak
    Chaudhary, Supriya
    Singh, Anubhuti
    Shukla, Reetika
    Kumar Mishra, Virendra
    WATER SUPPLY, 2023, 23 (02) : 459 - 481
  • [6] 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
  • [7] Application of multivariate statistical analysis and water quality index for quality characterization of Parbati River, Northwestern Himalaya, India
    Gaurav Sharma
    Renu Lata
    Nandini Thakur
    Vishal Bajala
    Jagdish Chandra Kuniyal
    Kireet Kumar
    Discover Water, 1 (1):
  • [8] Evaluation of surface water quality using hydro-chemical, bacteriological characters and water quality index: a case study on sacred ponds of Kurukshetra, Haryana, India
    Bhatnagar, Anita
    Thakral, Nisha
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2023, 9 (05)
  • [9] Use of water quality index and multivariate statistical techniques for the assessment of spatial variations in water quality of a small river
    Smita Dutta
    Ajay Dwivedi
    M. Suresh Kumar
    Environmental Monitoring and Assessment, 2018, 190
  • [10] A comprehensive study of water quality in Pandavapura Taluk: applying multivariate statistical techniques to water quality index
    Ramesh, Madhu
    Madesha, Puttamadaiah
    Lingaiah, Keerthan
    JOURNAL OF GEOLOGY GEOGRAPHY AND GEOECOLOGY, 2024, 33 (02): : 376 - 386