Article
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Reverse Flood Routing in an Open Channel Using Genetic Algorithm
Version 1
: Received: 12 February 2021 / Approved: 17 February 2021 / Online: 17 February 2021 (10:09:36 CET)
How to cite: Azizipour, A.; Kashefipour, S. M.; Haghighi, A. Reverse Flood Routing in an Open Channel Using Genetic Algorithm. Preprints 2021, 2021020364. https://doi.org/10.20944/preprints202102.0364.v1 Azizipour, A.; Kashefipour, S. M.; Haghighi, A. Reverse Flood Routing in an Open Channel Using Genetic Algorithm. Preprints 2021, 2021020364. https://doi.org/10.20944/preprints202102.0364.v1
Abstract
Flood routing in flood forecasting issue, calculation the height of flood bands, determining the river boundaries, and estimation of protective facilities for flood –exposed building is applicable. In many cases, due to the lack of measuring stations, the status of the upstream flood generating hydrograph is not known. The purpose of this study is to present an integrated method comprising of an optimization model and a hydrodynamic numerical model for flood modeling to determine the upstream hydrograph using the provided hydrograph at the downstream measuring station of a river. The routing procedure consists of three steps: (1) generating a hypothetical upstream hydrograph using genetic algorithm method; (2) hydrodynamic modeling using a numerical simulation model for flood routing according to the hypothetical hydrograph which is generated in the first step; (3) compare the calculated and observed hydrograph in downstream by using a fitness function. This recommended procedure was named as Reverse Flood Routing Method (RFRM) and was then applied to Karun River, the largest river in Iran. Comparing the generated upstream hydrograph by the RFRM model with the corresponding measured hydrograph at Ahvaz hydrometric station, as an ungauged river location, shows the high accuracy of the recommended model in this study.
Keywords
generating missed hydrograph; genetic algorithm; Reverse Flood Routing; Karun River; numerical FASTER model
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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