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    Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India

    Access Status
    Fulltext not available
    Authors
    Vasanthavigar, M.
    Srinivasamoorthy, K.
    Prasanna, Mohan Viswanathan
    Date
    2013
    Type
    Journal Article
    
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    Citation
    Vasanthavigar, M. and Srinivasamoorthy, K. and Prasanna, M.V. 2013. Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India. Environmental Earth Sciences. 68 (6): pp. 1783-1795.
    Source Title
    Environmental Earth Sciences
    DOI
    10.1007/s12665-012-1868-8
    ISSN
    1866-6280
    URI
    http://hdl.handle.net/20.500.11937/19199
    Collection
    • Curtin Research Publications
    Abstract

    Hydrogeochemical studies have been made in the study area by using multivariate statistical analysis, which is mainly helpful for interpretation of complex data matrices to better understand the geochemical evolution of the area and it allows identifying the possible factors/sources that influence water systems. The spatial distribution of electrical conductivity reveals that an untreated industrial effluents, landfill and anthropogenic activities affecting their groundwater quality in its vicinity and the surrounding area. The dominance of ions was in the order of Na+ > Ca2+ > Mg2+ > K+ = Cl− > HCO3 − > SO4 2− > NO3 − and Ca2+ > Mg2+ > Na+ > K+ = HCO3 − > Cl− > NO3 − > SO4 2− during pre monsoon (PRM) and post monsoon (POM), respectively. The statistical results reveals that the groundwater chemistry gets altered by silicate weathering, ion exchange, leaching, anthropogenic input from agricultural return flow and longer distance of migrating groundwater. The hydrogeochemical regimes are distributed along the upstream side, northwestern, western and eastern parts of the study area. The study highlights the descriptive capabilities of conventional and multivariate techniques as effective tools in groundwater evaluation.

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