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
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
  • [41] Assessment of water quality of polluted lake using multivariate statistical techniques: A case study
    Kazi, T. G.
    Arain, M. B.
    Jamali, M. K.
    Jalbani, N.
    Afridi, H. I.
    Sarfraz, R. A.
    Baig, J. A.
    Shah, Abdul Q.
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2009, 72 (02) : 301 - 309
  • [43] Assessment of water quality in Baiyangdian Lake using multivariate statistical techniques
    Zhao, Y.
    Xia, X. H.
    Yang, Z. F.
    Wang, F.
    18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM, 2012, 13 : 1213 - 1226
  • [44] Evaluation of groundwater quality in West Tripura, Northeast India, through combined application of water quality index and multivariate statistical techniques
    Roy B.
    Roy S.
    Mitra S.
    Manna A.K.
    Arabian Journal of Geosciences, 2021, 14 (19)
  • [45] Assessment of surface water quality using water quality index and multivariate statistical analyses in Sarayduzu Dam Lake, Turkey
    Kukrer, Serkan
    Mutlu, Ekrem
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2019, 191 (02)
  • [46] Application of Multivariate Statistical Methods and Water Quality Index for the Evaluation of Surface Water Quality in the Cunas River Basin, Peru
    Dominguez Franco, Henry
    Custodio, Maria
    Penaloza, Richard
    De la Cruz, Heidi
    ASIAN JOURNAL OF WATER ENVIRONMENT AND POLLUTION, 2021, 18 (04) : 19 - 27
  • [47] Multivariate statistical analyses for water and sediment quality index development: A study of susceptibility in an urban river
    Unda-Calvo, Jessica
    Ruiz-Romera, Estilita
    Martinez-Santos, Miren
    Vidal, Maider
    Antiguedad, Inaki
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 711
  • [48] ASSESSMENT OF RIVER WATER QUALITY VIA ENVIRONMENTRIC MULTIVARIATE STATISTICAL TOOLS AND WATER QUALITY INDEX: A CASE STUDY OF NAKDONG RIVER BASIN, KOREA
    Venkatramanan, Senapathi
    Chung, Sang Yong
    Lee, Seung Yeop
    Park, Namsik
    CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES, 2014, 9 (02): : 125 - 132
  • [49] Ground Water Quality and Multivariate Statistical Methods
    Viswanath N.C.
    Kumar P.G.D.
    Ammad K.K.
    Kumari E.R.U.
    Environmental Processes, 2015, 2 (2) : 347 - 360
  • [50] Application of multivariate statistical techniques in the assessment of water quality in Sakarya River, Turkey
    Suheyla Yerel
    Huseyin Ankara
    Journal of the Geological Society of India, 2011, 78 : 1 - 5