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An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem

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dc.contributor.author Srinivas, Rallapalli
dc.contributor.author Singh, Ajit Pratap
dc.date.accessioned 2022-12-21T09:46:36Z
dc.date.available 2022-12-21T09:46:36Z
dc.date.issued 2020-02
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S0959652619338338
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8014
dc.description.abstract Assessing the impact of land use cover on the river water quality is a pre-requisite to sustainable river basin planning and management. In recent times, non-point source pollution generated from agricultural watersheds has been significantly deteriorating water quality of major rivers such as river Ganges in India as described in this case study. The present work develops a Geographical Information System based mechanism to model non-point source pollution using multivariate regression analysis. The watershed model delineates runoff direction and identifies its lowest elevation points (outlets) near the river body where maximum pollution is caused by non-point source pollution, and thus provides a concrete evidence that agricultural runoff is the primary cause of increasing concentration of nitrogen and phosphorus compounds in the river. A case study of river Ganges basin, India is considered to demonstrate the applicability of the model. Relationships among six land cover and eleven critical water quality parameters are studied using multivariate regression near three selected sampling stations obtained using geographical information systems model. The results indicate that inorganic farming practices have a direct impact on the river water quality, leading to positive correlation (R2 ≥ 0.65) amongst ‘double-crop cover’ and ‘build-up area’ with Temperature, nitrogen as nitrite, nitrogen as nitrate, nitrite + nitrate, phosphorous as orthophosphate within the river body. Trend analysis study of temperature using Mann-Kendall test and Sen slope reveals an average of 0.23 °C/year positive trend in river temperature due to discharge of NPS pollution through agricultural watersheds. The study alarms the policymakers to educate the farmers to adopt best management practices such as increasing soil matter, usage of tile drainage, bioreactors, nutrient removal wetlands, using cover crops, etc. not only to increase crop productivity, but also to enhance the water quality in the riverine ecosystem. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Civil Engineering en_US
dc.subject Agriculture en_US
dc.subject Environmental monitoring en_US
dc.subject Non-point source pollution en_US
dc.subject River basin en_US
dc.subject Watershed modeling en_US
dc.title An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem en_US
dc.type Article en_US


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