Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India
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 w...
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| Format: | Journal Article |
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Springer
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/19199 |
| _version_ | 1848749964234063872 |
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| author | Vasanthavigar, M. Srinivasamoorthy, K. Prasanna, Mohan Viswanathan |
| author_facet | Vasanthavigar, M. Srinivasamoorthy, K. Prasanna, Mohan Viswanathan |
| author_sort | Vasanthavigar, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:29:18Z |
| format | Journal Article |
| id | curtin-20.500.11937-19199 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:29:18Z |
| publishDate | 2013 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-191992017-09-13T15:44:14Z Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India Vasanthavigar, M. Srinivasamoorthy, K. Prasanna, Mohan Viswanathan Spatial distribution Electrical conductivity Statistical analysis Anthropogenic activities Pollution sources 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. 2013 Journal Article http://hdl.handle.net/20.500.11937/19199 10.1007/s12665-012-1868-8 Springer restricted |
| spellingShingle | Spatial distribution Electrical conductivity Statistical analysis Anthropogenic activities Pollution sources Vasanthavigar, M. Srinivasamoorthy, K. Prasanna, Mohan Viswanathan Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title | Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title_full | Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title_fullStr | Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title_full_unstemmed | Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title_short | Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India |
| title_sort | identification of groundwater contamination zones and its sources by using multivariate statistical approach in thirumanimuthar sub-basin, tamil nadu, india |
| topic | Spatial distribution Electrical conductivity Statistical analysis Anthropogenic activities Pollution sources |
| url | http://hdl.handle.net/20.500.11937/19199 |