Assessment of water quality using multivariate analysis�a case study on the Brahmaputra River, Assam, India

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dc.contributor.author Das, Pallavi
dc.contributor.author Kumar, Manish
dc.date.accessioned 2019-09-12T05:23:36Z
dc.date.available 2019-09-12T05:23:36Z
dc.date.issued 2019-08
dc.identifier.citation Das, Pallavi and Kumar, Manish, �Assessment of water quality using multivariate analysis�a case study on the Brahmaputra River, Assam, India�, in Emerging issues in the water environment during anthropocene, DOI: 10.1007/978-981-32-9771-5_10, Springer, pp. 179-194, Aug. 2019, ISBN: 9789813297715. en_US
dc.identifier.isbn 9789813297715
dc.identifier.isbn 9789813297708
dc.identifier.uri https://doi.org/10.1007/978-981-32-9771-5_10
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4809
dc.description.abstract Chemical composition of river water is vital to assessment of water quality for irrigation, agriculture and domestic usage. Chemical attributes of riverine water primarily governed by natural weathering of rocks have become overshadowed by increasing range of anthropogenic activities. Progressive pollution of the river waters are critical as rivers in floodplain zones recharge ground water; a vital source of drinking water in India. The degree of impact of the anthropogenic activities within the surface waters of the developing countries has expanded significantly amid the past decades. Hence identification and quantification of natural as well as anthropogenic impact and understanding the source of contaminant is fundamental. In addition continuous monitoring of river water quality is required in order to maintain freshwater assets. The Brahmaputra River is the lifeline of Assam. People residing along its bank directly or indirectly are heavily dependent on the river for their livelihood. Majority of the population in the region is dependent on an agricultural economy. In the present study different multivariate statistical techniques such as cluster analysis (CA), principal component analysis (PCA) and factor analysis (FA) were applied for evaluation of spatial and temporal variations of water quality of the Brahmaputra River for two years (2011�2014) by monitoring nine sampling sites from upstream to downstream along the Assam stretch. The present study highlights the usefulness and need of multivariate statistical assessment of the database in identification of main process that influence the water quality of the river and probable source of contamination.
dc.description.statementofresponsibility by Pallavi Das and Manish Kumar
dc.format.extent pp. 179-194
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.subject Water quality en_US
dc.subject Hydro-geochemical en_US
dc.subject PCO2 en_US
dc.subject Multivariate analysis en_US
dc.subject Brahmaputra river en_US
dc.subject India en_US
dc.title Assessment of water quality using multivariate analysis�a case study on the Brahmaputra River, Assam, India en_US
dc.type Book chapter en_US


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