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A NON-LINEAR MODEL FOR RIVER FLOW FORECASTING
A lumped, time-invariant model based on systems approach has been used here for calibration and forecasting (verification) of flows during the flood events. The model used in the present study has in it a non-linear component and a linear component. In the rainfall-runoff process the immediate or prompt flow is expected to be non-linearly related with the rainfall while the delayed flow is expected to be linearly related with corresponding rainfall. Such relationship is used here for multi-flood events and by stacking together different discontinuous storms, the response function for this system is identified. The present model in its non- parametric form has been calibrated first and then used for forecasting the flood events in the Ray catchment which is located near Swindon, England which lies in a moderately humid climatic region. The response function obtained for this catchment is found to have physically realistic ordinate values. The present method has been found to forecast the flows with high efficiencies for the data used herein.
A NON-LINEAR MODEL FOR RIVER FLOW FORECASTING
A lumped, time-invariant model based on systems approach has been used here for calibration and forecasting (verification) of flows during the flood events. The model used in the present study has in it a non-linear component and a linear component. In the rainfall-runoff process the immediate or prompt flow is expected to be non-linearly related with the rainfall while the delayed flow is expected to be linearly related with corresponding rainfall. Such relationship is used here for multi-flood events and by stacking together different discontinuous storms, the response function for this system is identified. The present model in its non- parametric form has been calibrated first and then used for forecasting the flood events in the Ray catchment which is located near Swindon, England which lies in a moderately humid climatic region. The response function obtained for this catchment is found to have physically realistic ordinate values. The present method has been found to forecast the flows with high efficiencies for the data used herein.
A NON-LINEAR MODEL FOR RIVER FLOW FORECASTING
Kothyari, U. C. (author)
ISH Journal of Hydraulic Engineering ; 2 ; 47-62
1996-01-01
16 pages
Article (Journal)
Electronic Resource
Unknown
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