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Article type: Research Article
Authors: Srinivas, R.; * | Singh, Ajit Pratap | Jain, Varun | Bhamra, Ramneek Singh | Sharma, Prateek
Affiliations: Department of Civil Engineering, Birla Institute of Civil Engineering, Pilani, Rajasthan, India
Correspondence: [*] Corresponding Author. [email protected]
Abstract: The colossal expansion and pace of global development have completely deteriorated the water quality of major river basins of the world such as Amazon, Ganges, Nile etc. Rivers have become receivers of wastewater discharged from industrial, agricultural and domestic sectors. Ganges river basin of India is considered as one of the heavily polluted river basin with 144 open drains entering into the river body without proper treatment. Therefore, monitoring and analysing the water quality of these drains and their sources is essential not only to suggest proper treatment procedures but also to ensure sustainability of the river ecosystem. The present study conducts an exhaustive quality analysis of 85 drains carrying both industrial and domestic sewage, either directly into river Ganges or indirectly through tributaries (Kali-East, Ram Ganga and Pandu) in ‘Haridwar to Kanpur’ stretch. Multivariate technique namely Principal Component Analysis (PCA) and Cluster Analysis (CA) have been employed using ‘Analyse it’ software to evaluate the intensity and sources of pollution. The methodology generates monoplots and two dimensional biplots to identify the relationships among pollutants and their sources. Finally, quality assessment of drains has been performed by calculating the water quality index of each drain, and sensitivity analysis is carried out to evaluate the effect of critical water quality parameters. Results direct the policy makers to identify the industries responsible for polluting the drains above critical levels and further measures are suggested to improve the deteriorating quality of drains.
Keywords: Multivariate analysis, open drains, river basin, water quality
DOI: 10.3233/AJW200008
Journal: Asian Journal of Water, Environment and Pollution, vol. 17, no. 1, pp. 75-82, 2020
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