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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Singh, Ajit Pratap | - |
dc.contributor.author | Srinivas, Rallapalli | - |
dc.date.accessioned | 2022-02-20T06:50:37Z | - |
dc.date.available | 2022-02-20T06:50:37Z | - |
dc.date.issued | 2017-06-09 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs11269-017-1738-y | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/4083 | - |
dc.description.abstract | The growing consciousness about the health risks associated with environmental pollutants has brought a major shift in global concern towards prevention of hazardous/trace metals discharge in water bodies. Majority of these trace metals gets accumulated in the body of aquatic lives, which are considered as potential indicators of hazardous content. This results in an ecological imbalance in the form of poisoning, diseases and even death of fish and other aquatic lives, and ultimately affect humans through food chain. Trace metals such as Cd, Cr, Cu, Mn, Ni, Pb and Zn originated from various industrial operations containing metallic solutions and agricultural practices, have been contributing significantly to cause aquatic pollution | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Civil Engineering | en_US |
dc.subject | Ecosystem | en_US |
dc.subject | River Ganges | en_US |
dc.subject | Multivariate Analysis Coupled | en_US |
dc.title | A Scenario Based Impact Assessment of Trace Metals on Ecosystem of River Ganges Using Multivariate Analysis Coupled with Fuzzy Decision-Making Approach | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Civil Engineering |
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