Improved River Flood Routing with Spatially Variable Exponent Muskingum Model and Sine Cosine Optimization Algorithm

Due to advancements in optimization technology, numerous variable-parameter Muskingum models have been proposed in recent decades, aiming at enhancing the effectiveness of the Muskingum model. However, a knowledge gap exists in understanding the implications of incorporating spatial variations and l...

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Veröffentlicht in:	Environmental processes Jg. 10; H. 3; S. 42
Hauptverfasser:	Atashi, Vida, Barati, Reza, Lim, Yeo Howe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.09.2023 Springer Nature B.V
Schlagworte:	Algorithms Case studies Earth and Environmental Science Earth Sciences Environmental Management Environmental Science and Engineering Errors Flood routing Floods Inflow Mathematical models Optimization Outflow Parameter estimation Parameter modification Rivers Spatial variations Temporal variations Trigonometric functions Waste Management/Waste Technology Water Quality/Water Pollution Variable Exponent Parameter Sine Cosine Algorithm (SCA) Nonlinear Muskingum Model Spatial Variation Lateral inflow
ISSN:	2198-7491, 2198-7505
Online-Zugang:	Volltext
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