Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows

Flood routing can be subclassified into hydraulic and hydrologic flood routing; the former yields accurate values but requires a large amount of data and complex calculations. The latter, in contrast, requires only inflow and outflow data, and has a simpler calculation process than the hydraulic one...

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Autor principal:	Eui Hoon Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hydrologic flood routing Muskingum flood routing model meta-heuristic optimization self-adaptive vision correction algorithm Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/0d5496c08b274f1eab677c180cf5ac6f
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spelling	oai:doaj.org-article:0d5496c08b274f1eab677c180cf5ac6f2021-11-25T19:14:59ZDevelopment of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows10.3390/w132231702073-4441https://doaj.org/article/0d5496c08b274f1eab677c180cf5ac6f2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3170https://doaj.org/toc/2073-4441Flood routing can be subclassified into hydraulic and hydrologic flood routing; the former yields accurate values but requires a large amount of data and complex calculations. The latter, in contrast, requires only inflow and outflow data, and has a simpler calculation process than the hydraulic one. The Muskingum model is a representative hydrologic flood routing model, and various versions of Muskingum flood routing models have been studied. The new Muskingum flood routing model considers inflows at previous and next time during the calculation of the inflow and storage. The self-adaptive vision correction algorithm is used to calculate the parameters of the proposed model. The new model leads to a smaller error compared to the existing Muskingum flood routing models in various flood data. The sum of squares obtained by applying the new model to Wilson’s flood data, Wang’s flood data, the flood data of River Wye from December 1960, Sutculer flood data, and the flood data of River Wyre from October 1982 were 4.11, 759.79, 18,816.99, 217.73, 38.81 (m<sup>3</sup>/s)<sup>2</sup>, respectively. The magnitude of error for different types of flood data may be different, but the error may be large if the flow rate of the flood data is large.Eui Hoon LeeMDPI AGarticlehydrologic flood routingMuskingum flood routing modelmeta-heuristic optimizationself-adaptive vision correction algorithmHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3170, p 3170 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydrologic flood routing Muskingum flood routing model meta-heuristic optimization self-adaptive vision correction algorithm Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	hydrologic flood routing Muskingum flood routing model meta-heuristic optimization self-adaptive vision correction algorithm Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Eui Hoon Lee Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
description	Flood routing can be subclassified into hydraulic and hydrologic flood routing; the former yields accurate values but requires a large amount of data and complex calculations. The latter, in contrast, requires only inflow and outflow data, and has a simpler calculation process than the hydraulic one. The Muskingum model is a representative hydrologic flood routing model, and various versions of Muskingum flood routing models have been studied. The new Muskingum flood routing model considers inflows at previous and next time during the calculation of the inflow and storage. The self-adaptive vision correction algorithm is used to calculate the parameters of the proposed model. The new model leads to a smaller error compared to the existing Muskingum flood routing models in various flood data. The sum of squares obtained by applying the new model to Wilson’s flood data, Wang’s flood data, the flood data of River Wye from December 1960, Sutculer flood data, and the flood data of River Wyre from October 1982 were 4.11, 759.79, 18,816.99, 217.73, 38.81 (m<sup>3</sup>/s)<sup>2</sup>, respectively. The magnitude of error for different types of flood data may be different, but the error may be large if the flow rate of the flood data is large.
format	article
author	Eui Hoon Lee
author_facet	Eui Hoon Lee
author_sort	Eui Hoon Lee
title	Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
title_short	Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
title_full	Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
title_fullStr	Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
title_full_unstemmed	Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows
title_sort	development of a new 8-parameter muskingum flood routing model with modified inflows
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0d5496c08b274f1eab677c180cf5ac6f
work_keys_str_mv	AT euihoonlee developmentofanew8parametermuskingumfloodroutingmodelwithmodifiedinflows
_version_	1718410072804032512

Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows

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