Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/35105
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dc.contributor.authorSun, Linhua-
dc.contributor.authorPeng, Weihua-
dc.contributor.authorCheng, Chen-
dc.date.accessioned2016-07-26T05:05:38Z-
dc.date.available2016-07-26T05:05:38Z-
dc.date.issued2016-06-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/35105-
dc.description756-762en_US
dc.description.abstractIn this study, the concentrations of eight kinds of heavy metals (Fe, Mn, Zn, Cr, Cd, Cu, Pb and Ni) of sixty-two shallow groundwater samples from the urban area of Suzhou, northern Anhui Province, China have been measured, and the data have been analyzed by UNMIX model for quantifying their sources. The results indicate that the concentrations of all of the heavy metals except for Mn and Pb can meet the guidelines for drinking water quality of World Health Organization. Four sources, including both anthropogenic sources (related to transportation/ centralization and car industry) and geological sources (related to Fe and Mn hydroxides), have been identified by UMIX model, and their contributions for the total heavy metals are 29.3% and 70.7%, respectively. The study demonstrated that the UNMIX model can be applied for estimating the source of heavy metals in groundwater.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rightsCC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.45(06) [June 2016]en_US
dc.subjectHeavy metalsen_US
dc.subjectShallow groundwateren_US
dc.subjectSource approximationen_US
dc.subjectUNMIX modelen_US
dc.titleSource estimating of heavy metals in shallow groundwater based on UNMIX Model: a case studyen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.45(06) [June 2016]

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