Impact of Dynamic Storage Management of Wetlands and Shallow Ponds on Watershed-scale Flood Control
Yun Tang (),
Arturo S. Leon and
M. L. Kavvas
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Yun Tang: University of California at Davis
Arturo S. Leon: Florida International University
M. L. Kavvas: University of California at Davis
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 4, No 2, 1305-1318
Abstract:
Abstract This paper presents a case study on the impact of dynamic management of wetland storage on downstream flood control at the Cypress Creek Watershed in Houston, Texas. Dynamic storage management is performed by optimizing the schedule of flow releases from managed wetlands for minimizing downstream inundation. The novelty of this study is to increase the available storage capacity of wetlands on a watershed scale and thus improve their performance on flood mitigation. The main objective of this study is to compare the extent of downstream flood inundation with and without dynamic management of wetland storage. This study used HEC-HMS for the overland flows and the level pool routing in the wetlands and HEC-RAS for simulating river inundation. Wetlands were implemented in the midstream region of the watershed. The schedule of optimal wetland flow releases were determined using the MATLAB Genetic Algorithm toolbox. The optimization results indicate that, when wetland size exceeds a fairly low threshold, dynamic storage management of wetlands can significantly reduce flood area, flood depth and flood duration at the downstream region of the watershed compared with the case without dynamic storage management.
Keywords: Wetland; Flood control; Flow regulation; Flood management; Optimization; Cypress creek watershed (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:34:y:2020:i:4:d:10.1007_s11269-020-02502-x
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DOI: 10.1007/s11269-020-02502-x
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