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dc.contributor.authorMaheshwari, S.-
dc.contributor.authorChavan, S.R.-
dc.date.accessioned2022-07-15T07:31:23Z-
dc.date.available2022-07-15T07:31:23Z-
dc.date.issued2022-07-15-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3629-
dc.description.abstractDischarge indices based on mean sediment load such as fraction-load (f-load) discharge and functional-equivalent discharge represent long-term sediment transfer through river networks. These discharge indices can be used as design flows for the restoration of river channels and in geomorphic and eco-hydrologic studies. In this paper, lognormal distribution-based and Gamma distribution-based Magnitude-Frequency Analysis (MFA) approaches are evaluated to determine reliable estimates of discharge indices for suspended sediment transport in South Indian catchments. The discharge indices are estimated by considering (i) total suspended sediment load and (ii) fine, medium, and coarse suspended sediment loads, separately, as various fractions of suspended sediments have different hydraulic characteristics, transport behaviour, and effect on the ecological system. Results indicate that the lognormal distribution being heavy-tailed tends to assign considerable frequency densities to higher discharges which results in unreliable and magnified estimates of mean sediment load and subsequent discharge indices for most of the catchments. Overall, the Gamma distribution-based MFA approach is found to yield reliable estimates of the f-load discharge and functional-equivalent discharge in comparison to the lognormal distribution-based MFA approach.en_US
dc.language.isoen_USen_US
dc.subjectDischarge indicesen_US
dc.subjectFraction-load dischargeen_US
dc.subjectFunctional-equivalent dischargeen_US
dc.subjectGamma distributionen_US
dc.subjectLognormal distributionen_US
dc.subjectMagnitude-Frequency Analysisen_US
dc.titleEvaluation of approaches to estimate discharge indices based on mean sediment load for suspended sediment transport in South Indian catchmentsen_US
dc.typeArticleen_US
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