Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model

Flood impact assessment in a river system is done with the help of flood routing and this process helps to determine the status of sensitive points of the route in terms of flood entry and the resulting risks for urban and rural areas. For flood routing, a hydrodynamic numerical model should be impl...

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Autores principales: Ali Azizipour, Seyed Mahmood Kashefipour, Ali Haghighi
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Lenguaje:EN
Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:852ff654d4174944b1473c416fc8a7fb2021-11-05T21:17:30ZReverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model1751-231X10.2166/wpt.2021.085https://doaj.org/article/852ff654d4174944b1473c416fc8a7fb2021-10-01T00:00:00Zhttp://wpt.iwaponline.com/content/16/4/1465https://doaj.org/toc/1751-231XFlood impact assessment in a river system is done with the help of flood routing and this process helps to determine the status of sensitive points of the route in terms of flood entry and the resulting risks for urban and rural areas. For flood routing, a hydrodynamic numerical model should be implemented and this model needs upstream and downstream boundaries. In some cases, the upstream boundary, which is usually a hydrograph, is not available due to the lack of facilities and it is necessary to be generated for numerical model implementation. The purpose of this study is to present an integrated method comprising an optimization model and a hydrodynamic numerical model for flood modeling in order to determine the upstream hydrograph using the measured downstream hydrograph along a river. The routing procedure consists of three steps: (1) generating a hypothetical upstream hydrograph using the 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) comparing the calculated and observed hydrograph in the downstream by using a fitness function. This recommended procedure was named the Reverse Flood Routing Method (RFRM) and was then applied to Karun River, the largest river in Iran. Comparison of the final generated upstream hydrograph by the RFRM model with the corresponding measured hydrograph at the upstream boundary (here Ahvaz hydrometric station was assumed as an ungauged river location) shows the high accuracy of the recommended model in this study.Ali AzizipourSeyed Mahmood KashefipourAli HaghighiIWA Publishingarticlegenerating missed hydrographgenetic algorithmkarun rivernumerical faster modelreverse flood routingEnvironmental technology. Sanitary engineeringTD1-1066ENWater Practice and Technology, Vol 16, Iss 4, Pp 1465-1474 (2021)
institution DOAJ
collection DOAJ
language EN
topic generating missed hydrograph
genetic algorithm
karun river
numerical faster model
reverse flood routing
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle generating missed hydrograph
genetic algorithm
karun river
numerical faster model
reverse flood routing
Environmental technology. Sanitary engineering
TD1-1066
Ali Azizipour
Seyed Mahmood Kashefipour
Ali Haghighi
Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
description Flood impact assessment in a river system is done with the help of flood routing and this process helps to determine the status of sensitive points of the route in terms of flood entry and the resulting risks for urban and rural areas. For flood routing, a hydrodynamic numerical model should be implemented and this model needs upstream and downstream boundaries. In some cases, the upstream boundary, which is usually a hydrograph, is not available due to the lack of facilities and it is necessary to be generated for numerical model implementation. The purpose of this study is to present an integrated method comprising an optimization model and a hydrodynamic numerical model for flood modeling in order to determine the upstream hydrograph using the measured downstream hydrograph along a river. The routing procedure consists of three steps: (1) generating a hypothetical upstream hydrograph using the 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) comparing the calculated and observed hydrograph in the downstream by using a fitness function. This recommended procedure was named the Reverse Flood Routing Method (RFRM) and was then applied to Karun River, the largest river in Iran. Comparison of the final generated upstream hydrograph by the RFRM model with the corresponding measured hydrograph at the upstream boundary (here Ahvaz hydrometric station was assumed as an ungauged river location) shows the high accuracy of the recommended model in this study.
format article
author Ali Azizipour
Seyed Mahmood Kashefipour
Ali Haghighi
author_facet Ali Azizipour
Seyed Mahmood Kashefipour
Ali Haghighi
author_sort Ali Azizipour
title Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
title_short Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
title_full Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
title_fullStr Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
title_full_unstemmed Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
title_sort reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/852ff654d4174944b1473c416fc8a7fb
work_keys_str_mv AT aliazizipour reversefloodroutinginanopenchannelusingacombinedmodelofgeneticalgorithmandanumericalmodel
AT seyedmahmoodkashefipour reversefloodroutinginanopenchannelusingacombinedmodelofgeneticalgorithmandanumericalmodel
AT alihaghighi reversefloodroutinginanopenchannelusingacombinedmodelofgeneticalgorithmandanumericalmodel
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