Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm

• Main Authors: Ehteram, M., Othman, F. B., Yaseen, Z. M., Afan, H. A., Allawi, M. F., Malek, M. B. A., Ahmed, A. N., Shahid, S., Singh, V. P., El-Shafie, A.
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/79714/1/ShamsuddinShahid2018_ImprovingtheMuskingumFloodRouting.pdf; http://eprints.utm.my/id/eprint/79714/; http://dx.doi.org/10.3390/w10060807

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...