Analysis of Flood Storage Area Operations in Huai River Using 1D and 2D River Simulation Models Coupled with Global Optimization Algorithms

This article addresses the issue of flood management using four flood storage areas in the middle section of Huai River in China which protect the important downstream city of Bengbu. The same areas are also used by the local population as residential and agricultural zones. An optimization problem...

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Bibliographic Details
Published inGeosciences (Basel) Vol. 9; no. 12; p. 509
Main Authors Jonoski, Andreja, Popescu, Ioana, Zhe, Sun, Mu, Yuhan, He, Yiqing
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2019
Subjects
Algorithms
Comparative analysis
Computational fluid dynamics
Downstream
Earth science
Economic models
Economics
Environmental risk
Flood control
Flood management
Flood models
Flood risk
Floods
Fluid flow
Global optimization
Hydrodynamics
Land use
Mathematical models
Neighborhoods
Optimization algorithms
Precipitation
Rivers
Simulation
Storage
Storm damage
Two dimensional models
China
Huai River
Yellow River
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Summary:This article addresses the issue of flood management using four flood storage areas in the middle section of Huai River in China which protect the important downstream city of Bengbu. The same areas are also used by the local population as residential and agricultural zones. An optimization problem is therefore posed, with two objectives of simultaneously minimizing the downstream flood risk in Bengbu city and the storage areas’ economic damages. The methodology involved development of river flood models using HEC-RAS, with varying complexity, such as 1-dimensional (1D) model with storage areas represented as lumped conceptual reservoirs, and 2-dimensional (2D) models with detailed representation of the terrain, land-use and hydrodynamics in the storage areas. Experiments of coupling these models with global optimization algorithms (NSGA-II, PESA-II and SPEA-II) were performed (using the HEC-RAS Controller), in which the two objective functions were minimized, while using stage differences between the river and the storage areas as decision variables for controlling the opening/closing of the gates at the lateral structures that link the river with the storage areas. The comparative analysis of the results indicate that more refined optimal operational strategies that spread the damages across all storage areas can be obtained only with the detailed flood simulation models, regardless of the optimization algorithm used.
ISSN:2076-3263
2076-3263
DOI:10.3390/geosciences9120509