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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9124
Title: Deriving stage-discharge-sediment concentration relationships using fuzzy logic
Authors: Lohani A.K.
Goel, Narendra Kumar
Bhatia K.K.S.
Published in: Hydrological Sciences Journal
Abstract: Many practical problems in water resources require knowledge of the sediment load carried by the rivers, or of the load the rivers can carry without danger of aggragadation or degradation. Hence, the measurement of sediments being transported by a river is of vital interest for planning and designing of various water resources projects. The conventional methods available for sediment load estimation are largely empirical, with sediment rating curves being the most widely used. The rating relationships based on regression techniques are generally not adequate in view of the inherent complexity of the problem. In this study, a fuzzy logic technique is applied to model the stage-discharge-sediment concentration relationship. The technique has been applied to two gauging sites in the Narmada basin in India. Performance of the conventional sediment rating curves, neural networks and fuzzy rule-based models was evaluated using the coefficient of correlation, root mean square error and pooled average relative (underestimation and overestimation) errors (PARE) of sediment concentration. Comparison of results showed that the fuzzy rule-based model could be successfully applied for sediment concentration prediction as it significantly improves the magnitude of prediction accuracy. Copyright © 2007 IAHS Press.
Citation: Hydrological Sciences Journal (2007), 52(4): 793-807
URI: https://doi.org/10.1623/hysj.52.4.793
http://repository.iitr.ac.in/handle/123456789/9124
Issue Date: 2007
Keywords: Artificial neural networks
Discharge
Fuzzy inference system
Nonlinear process
Pooled average relative error
Regression
Sediment rating curve
Stage
ISSN: 2626667
Author Scopus IDs: 6602080269
36190650800
35428588800
Author Affiliations: Lohani, A.K., National Institute of Hydrology, Jalvigyan Bhawan, Roorkee 247667, India
Goel, N.K., Indian Institute of Technology, Roorkee 247667, India
Bhatia, K.K.S., National Institute of Hydrology, Jalvigyan Bhawan, Roorkee 247667, India
Corresponding Author: Lohani, A.K.; National Institute of Hydrology, Jalvigyan Bhawan, Roorkee 247667, India; email: akl_nih@yahoo.co.in
Appears in Collections:Journal Publications [HY]

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