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Title: | Theme 3-17-Water quality modelling studies of river Ganga in the Kanpur stretch - Estimation of non-point sources |
Authors: | Sharma, Mukesh Krishna, Hare Agrahari, Pawan Saha, Dipankar |
Keywords: | State of water quality Kanpur stretch of river Ganga Water quality model-QUALE2E |
Issue Date: | 2000 |
Publisher: | National Institute of Hydrology |
Abstract: | The present study objectively analyzes the state of water quality (in terms of DO-BOD) in the Kanpur stretch of river Ganga and assesses the non-point sources and their impact by employing water quality modeling. The Enhanced Stream Water Quality Model (QUAL2E) of USEPA has been used in this study. A stretch of 31-kilometer (starting from a few kilometers upstream of Kanpur) was covered and on the spot water quality sampling and analysis was carried out at various locations to generate the required database for model calibration/validation. The data on various point load discharges were collected in terms of flow and water quality characteristics. Initially the model predicted a better water quality than the quality observed on the field. This mismatch was attributed to the undefined non-point sources of waste discharges. Efforts to calibrate the model estimated the non-point sources in terms of BOD load as about 15700 kg/day and high Sediment Oxygen Demand (SOD). It was observed during field survey that the pollution from non-point sources (e.g. small drains, solid waste disposal etc.) was wide spread along the river. Thus, as a major recommendation of this research, it was concluded that unless non-point sources are controlled, the desired water quality levels cannot be achieved. |
URI: | http://117.252.14.250:8080/jspui/handle/123456789/3688 |
Appears in Collections: | ICIWRM-2000, Proceedings of International Conference on Integrated Water Resources Management for Sustainable Development, 19-21 December, 2000, New Delhi, India Vol.-I |
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Theme 3-17-Water quality modelling studies of river Ganga in the Kanpur stretch - Estimation of non-point sources.pdf | 91.06 kB | Adobe PDF | View/Open |
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