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.

中文翻译：

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湿地和浅塘动态存储管理对流域尺度防洪的影响

摘要

本文以德克萨斯州休斯敦的Cypress Creek流域为例，研究湿地存储动态管理对下游防洪的影响。动态存储管理是通过优化从受管理湿地释放水流的时间表来最大程度地减少下游淹没而执行的。这项研究的新颖性在于在流域范围内增加湿地的可用存储量，从而提高其在减灾方面的性能。本研究的主要目的是比较有无湿地存储动态管理的下游洪水泛滥程度。这项研究使用HEC-HMS进行水流和湿地的水位池布线，并使用HEC-RAS来模拟河流淹没。在流域的中游地区实施了湿地。使用MATLAB遗传算法工具箱确定最佳湿地水流释放时间表。优化结果表明，当湿地面积超过相当低的阈值时，与没有动态存储管理的情况相比，对湿地进行动态存储管理可以显着减少流域下游地区的洪水面积，洪水深度和洪水持续时间。