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Title: | APPLICATION STUDY OF STORAGE FUNCTION MODEL & KALMAN FILTERING FOR..FLOOD SIMULATION |
Authors: | Harsono, Eddy |
Keywords: | WATER RESOURCES DEVELOPMENT AND MANAGEMENT;STORAGE FUNCTION MODEL;KALMAN FILTERING;FLOOD SIMULATION |
Issue Date: | 1997 |
Abstract: | This dissertation study has been taken up with the objectives ; (i) to provide a solution of nonlinear storage function model and use of a procedure to update parameters of storage function model on real time basis (Schmidt - Kalman Filter ) ; (ii) to conduct an application study in Cisadane basin ( Indonesia ) ; ( iii) to carry out sensitivity analysis of the flood simulation model with respect to runoff coefficient, channel roughness and permissible error limits. This study uses a nonlinear storage function model converted from the kinematic wave equations. Kinematic routing parameters are correlated to storage function parameters. The study demonstrates that the nonlinear storage function model is a simple and convenient tool for flood simulation on real time basis. Two storm events (March 1981, February 1985 ) and related flood hydrographs for the Cisadane river have been used in comparing the observed and forecasted flood hydrographs ( with different lead times ). Comparison has been done in terms of ( i ) observed peak flood and forecasted peak flood and (ii) observed time to peak and forecasted time to peak. Observed and forecasted peak floods differ upto 100 cumecs . Observed and forecasted time to peak are more are less similar.... |
URI: | http://hdl.handle.net/123456789/4874 |
Other Identifiers: | M.Tech |
Research Supervisor/ Guide: | Chaube, U. C. |
metadata.dc.type: | M.Tech Dessertation |
Appears in Collections: | MASTERS' THESES (WRDM) |
Files in This Item:
File | Description | Size | Format | |
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WRDM248142.pdf | 4.18 MB | Adobe PDF | View/Open |
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