An application of Water Quality Index (WQI) and multivariate statistics to evaluate the water quality around Maddhapara Granite Mining Industrial Area, Dinajpur, Bangladesh

An application of Water Quality Index (WQI) and multivariate statistics to evaluate the water quality around Maddhapara Granite Mining Industrial Area, Dinajpur, Bangladesh

Abstract Background Pure water is an absolutely necessary component of the earth not only for life but also for sustainable socio-economic development of today’s civilization. The aim of this study was to analysis the quality of water resources and to investigate the influences of mining activities...

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Bibliographic Details
Main Authors: M. Farhad Howladar, Md. Abdullah Al Numanbakth, Mohammed Omar Faruque
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Environmental Systems Research
Subjects:
Maddhapara Granite Mine
Hydrochemistry
Multivariate statistical methods
Water Quality Index
Contamination sources
Water quality for various uses
Online Access:http://link.springer.com/article/10.1186/s40068-017-0090-9

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http://link.springer.com/article/10.1186/s40068-017-0090-9

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