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Estimation of environmental flow incorporating water quality and hypothetical climate change scenarios

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Abstract

Environmental flows (Eflow, hereafter) are the flows to be maintained in the river for its healthy functioning and the sustenance and protection of aquatic ecosystems. Estimation of Eflow in any river stretch demands consideration of various factors such as flow regime, ecosystem, and health of river. However, most of the Eflow estimation studies have neglected the water quality factor. This study urges the need to consider water quality criterion in the estimation of Eflow and proposes a framework for estimating Eflow incorporating water quality variations under present and hypothetical future scenarios of climate change and pollution load. The proposed framework is applied on the polluted stretch of Yamuna River passing through Delhi, India. Required Eflow at various locations along the stretch are determined by considering possible variations in future water quantity and quality. Eflow values satisfying minimum quality requirements for different river water usage classes (classes A, B, C, and D as specified by the Central Pollution Control Board, India) are found to be between 700 and 800 m3/s. The estimated Eflow values may aid policymakers to derive upstream storage-release policies or effluent restrictions. Generalized nature of this framework will help its implementation on any river systems.

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Acknowledgements

The authors would like to thank the Department of Science and Technology (India) for partly supporting this study through the grant no: SB/S3/CEE/045/2014 to Dr. Dhanya C.T. The authors sincerely thank the Editor and the anonymous reviewers for reviewing the manuscript and providing insightful comments. The authors also express thanks to Indian Institute of Technology, Delhi, for supporting this work.

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Correspondence to C. T. Dhanya.

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Walling, B., Chaudhary, S., Dhanya, C.T. et al. Estimation of environmental flow incorporating water quality and hypothetical climate change scenarios. Environ Monit Assess 189, 225 (2017). https://doi.org/10.1007/s10661-017-5942-2

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