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• W4308149823 endingPage "128569" @default.
• W4308149823 startingPage "128569" @default.
• W4308149823 abstract "For mitigating human-induced river alterations and reviving the dying rivers to preserve natural ecosystem services, the assessment of environmental flow (e-flow) is essential. However, e-flow estimation under data-scarce conditions for the rivers being heavily regulated has become a major issue worldwide under changing environmental conditions, particularly in developing countries. To address this challenge, this study was carried out for estimating time-varying e-flows for a heavily regulated river of Eastern India under data-scarce conditions. In the absence of any pre-impact streamflow data and tributary inflow to the main river reach, this study proposes a framework integrating three methods to estimate e-flow for river reaches. A hydrologic model (first method) was employed to estimate tributary inflows to the main river, which was used in the mass-balance based naturalization approach (second method) for reconstructing the daily long-term natural streamflow from the observed post-impact streamflows at two gauging stations on the main river. Thereafter, the naturalized streamflow was used for estimating e-flows by the GA optimization technique (third method) for two pragmatic scenarios (‘Low Hydrologic Alteration’, and ‘Moderate Hydrologic Alteration’) at the two stations. Analysis of the results revealed that the major impounding and diversion infrastructures built on the river have caused profound alteration to the river reach having an overall degree of hydrologic alteration index greater than 70. The mean post-impact streamflows tend to vary less and have decreased by 35–50 % with 2–3 times reduction in the peak flow as compared to the pre-impact condition. The estimated monthly e-flows for the river basin range from 1.2 to 185 m3/s (50–60 % of the natural flow) and 0.5 to 80 m3/s (22 to 30 % of the natural flow) for the ‘Low’ and ‘Moderate’ alteration scenarios, respectively. Results of this study can aid in formulating efficient strategies for sustainable water resources management in the river basin." @default.
• W4308149823 created "2022-11-08" @default.
• W4308149823 creator A5012665260 @default.
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• W4308149823 date "2022-11-01" @default.
• W4308149823 modified "2023-09-30" @default.
• W4308149823 title "Environmental flow estimation for regulated rivers under data-scarce condition" @default.
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• W4308149823 doi "https://doi.org/10.1016/j.jhydrol.2022.128569" @default.
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