Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
Authors:Ehteram, MohammadOthman, Faridah BintiYaseen, Zaher MundherAfan, Haitham AbdulmohsinAllawi, Mohammed FalahMalek, Marlinda Bt. AbdulAhmed, Ali NajahShahid, ShamsuddinSingh, Vijay P.El-Shafie, Ahmed
Source:WATER
Volume:10
Published:2018
Document Type:Article
Abstract:Flood prediction and control are among the major tools for decision makers and water resources planners to avoid flood disasters. The Muskingum model is one of the most widely used methods for flood routing prediction. The Muskingum model contains four parameters that must be determined for accurate flood routing. In this context, an optimization process that self-searches for the optimal values of these four parameters might improve the traditional Muskingum model. In this study, a hybrid of the bat algorithm (BA) and the particle swarm optimization (PSO) algorithm, i.e., the hybrid bat-swarm algorithm (HBSA), was developed for the optimal determination of these four parameters. Data for the three different case studies from the USA and the UK were utilized to examine the suitability of the proposed HBSA for flood routing. Comparative analyses based on the sum of squared deviations (SSD), sum of absolute deviations (SAD), error of peak discharge, and error of time to peak showed that the proposed HBSA based on the Muskingum model achieved excellent flood routing accuracy compared to that of other methods while requiring less computational time.
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Reprint Address:Yaseen, ZM (corresponding author), Ton Duc Thang Univ, Fac Civil Engn, Sustainable Dev Civil Engn Res Grp, Ho Chi Minh City, Vietnam.
Addresses:[Ehteram, Mohammad] Semnan Univ, Fac Civil Engn, Dept Water Engn & Hydraul Struct, Semnan 3513119111, Iran. [Othman, Faridah Binti; El-Shafie, Ahmed] Univ Malaya, Fac Engn, Dept Civil Engn, Kuala Lumpur 50603, Malaysia. [Yaseen, Zaher Mundher; Afan, Haitham Abdulmohsin] Ton Duc Thang Univ, Fac Civil Engn, Sustainable Dev Civil Engn Res Grp, Ho Chi Minh City, Vietnam. [Allawi, Mohammed Falah] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Civil & Struct Engn Dept, Bangi 43600, Malaysia. [Malek, Marlinda Bt. Abdul; Ahmed, Ali Najah] Univ Tenaga Nas, Coll Engn, Dept Civil Engn, Kajang 43000, Malaysia. [Malek, Marlinda Bt. Abdul] Univ Tenaga Nas, Inst Policy Energy Res IPERe, Kajang 43000, Malaysia. [Ahmed, Ali Najah] Univ Tenaga Nas, Inst Energy Infrastruct, Kajang 43000, Malaysia. [Shahid, Shamsuddin] Univ Teknol Malaysia, Fac Civil Engn, Johor Baharu 81310, Malaysia. [Singh, Vijay P.] Texas A&M Univ, Dept Biol & Agr Engn, 2117 TAMU, College Stn, TX 77843 USA. [Singh, Vijay P.] Texas A&M Univ, Zachry Dept Civil Engn, 2117 TAMU, College Stn, TX 77843 USA.
E-mail Addresses:mohammdehteram@semnan.ac.ir; faridahothman@um.edu.my; yaseen@tdt.edu.vn; haitham.afan@gmail.com; mohmmd.falah@gmail.com; Marlinda@uniten.edu.my; Mahfoodh@uniten.edu.my; sshahid@utm.my; vsingh@tamu.edu; elshafie@um.edu.my