A comprehensive study of water quality in Pandavapura Taluk: applying multivariate statistical techniques to water quality index

被引:0
作者
Ramesh, Madhu [1 ]
Madesha, Puttamadaiah [1 ]
Lingaiah, Keerthan [2 ]
机构
[1] Univ Mysore, Dept Studies Earth Sci, Mysuru, India
[2] Anna Univ, Dept Geol, Chennai, Tamilnadu, India
来源
JOURNAL OF GEOLOGY GEOGRAPHY AND GEOECOLOGY | 2024年 / 33卷 / 02期
关键词
Water quality index; Principal Component Analysis; Factor Analysis; Geochemical process & Pandavapura; GROUNDWATER;
D O I
10.15421/112435
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
An evaluation of the appropriateness of groundwater for domestic use was conducted in Pandavapura Taluk, located in the Mandya district of Karnataka, India. the study encompassed a vast area spanning 529 square kilometers located in a semiarid region where groundwater plays a pivotal role as a primary resource for both domestic and agricultural purposes. In the year 2022, groundwater samples were gathered from 45 wells during both the pre-monsoon and post-monsoon periods. These samples underwent thorough analysis to evaluate their physical and chemical properties such as pH, TDS, EC, TH, SO4, F, Fe, Mg, Cl, NO3, HNO3, K, Ca, and Mg. These parameters were correlated with a correlation matrix. The multivariate statistical techniques, notably principal component analysis (PCA), were employed to identify and extract four distinct components during both seasonal variations. The predominant groundwater type observed was categorized as Ca-Na-HCO3, underlining the substantial influence of rock-water interactions on groundwater chemistry dynamics within the region. In assessing overall water quality, the researchers utilized the weighted arithmetic index technique as proposed by Brown (1972), adhering to standards set forth by the Bureau of Indian Standards (BIS) in 2012. Based on the water quality index, groundwater samples were split into five categories, with most samples deemed suitable for drinking purposes in both seasons. The application of advanced statistical methods not only enhances the precision of the assessment but also provides a template for similar studies in other regions facing water quality challenges. Ultimately, the research aims to promote sustainable water management practices, ensuring the availability of clean and safe water resources for the present and future generations.
引用
收藏
页码:376 / 386
页数:11
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] Combined Multivariate Statistical Techniques and Water Quality Index (WQI) to Evaluate Spatial Variation in Water Quality
    Begum, Shaheen
    Firdous, Shahana
    Naeem, Zainab
    Chaudhry, Gul-e-Saba
    Arshad, Shanza
    Abid, Fakiha
    Zahra, Sania
    Khan, Sehrish
    Adnan, Muhammad
    Sung, Yeong Yik
    Muhammad, Tengku Sifzizul Tengku
    TROPICAL LIFE SCIENCES RESEARCH, 2023, 34 (03) : 129 - 149
  • [3] 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)
  • [4] 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
  • [5] 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
  • [6] 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
  • [7] 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
  • [8] 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
  • [9] A multivariate statistical approach and water quality index for water quality assessment for the Rokel river in Sierra Leone
    Barrie, A.
    Agodzo, S. K.
    Frazer-Williams, R.
    Awuah, E.
    Bessah, E.
    HELIYON, 2023, 9 (06)
  • [10] An integrated study of water quality in the Ganol River Basin, India: Application of hydro-chemical, multivariate statistical, and water quality index techniques
    Das, Gayatri
    Bharali, Biswadeep
    ENVIRONMENTAL QUALITY MANAGEMENT, 2024, 33 (04) : 955 - 966