Abstract
The Ganges is a sediment-laden, wide meandering river. The Ganges basin inside Bangladesh is approximately 27% of the total area of Bangladesh. Synthetic streamflow sequences are useful for analyzing reservoir operation and river basin management policies. In this study, the monthly discharge data of the Ganges have been modeled and predicted using the Thomas - Fiering model for the dependent stochastic component and by taking variable month-to-month correlation structures into account. The model can reproduce the periodicity of the monthly flows. The statistical parameters of observed and predicted data fit quite well and hence the predicted flow data may be used for future planning of water resources projects in Ganges dependent area in Bangladesh.
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© 2009 Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg
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Tarekul, I.G.M., Yoshihisa, K. (2009). Stochastic Modeling and Prediction of the Ganges Flow. In: Advances in Water Resources and Hydraulic Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89465-0_2
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DOI: https://doi.org/10.1007/978-3-540-89465-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89464-3
Online ISBN: 978-3-540-89465-0
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