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A Solution for Flood Control in Urban Area: Using Street Block and Raft Foundation Space Operation Model

机译:一种城市防洪解决方案:使用街区和筏基空间运营模型

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摘要

The overdevelopment of urban area has decreased the city's ground permeability and increased its surface runoff. Moreover, the urban area existing flood control system meets the high risk and new challenge for water resource management due to global warming and climate change. A huge idle raft foundation space of existing buildings in urban area is found to be practicable solution for urban flood control systems. Through the operation model using street block and raft foundation space in urban area can effectively reduce peak runoff during typhoon seasons and extreme rainfall periods. This study selected a certain street block in Taipei City and 47 typical typhoons as validation, and constructed a Street Block-Raft Foundation flood control model (SB-RF model). Firstly, the optimal solution for reducing peak runoff for the 47 typhoons was obtained using Linear Programming. Data from the optimal solution and Back Propagation Neural Network were then used to simulate the SB-RF model flood control. This paper not only demonstrates the effectiveness of proposed model in controlling urban floods, but establishes an expected average peak runoff reduction rate and proposes a methodology for optimizing flow controls. Results are proved to be useful as reference for urban flood control for urban area such as Taipei City during typhoon season.
机译:市区的过度开发降低了城市的地面渗透率,增加了地表径流。此外,由于全球变暖和气候变化,市区现有的防洪系统面临着水资源管理的高风险和新挑战。发现市区中现有建筑物的巨大的闲置筏基础空间对于城市防洪系统是可行的解决方案。通过使用市区街区和木筏基础空间的运行模型,可以有效减少台风季节和极端降雨期的高峰径流量。本研究选择了台北市某街区和47个典型台风作为验证,并构建了街区筏基防洪模型(SB-RF模型)。首先,使用线性规划获得了减少47个台风的峰值径流的最佳解决方案。然后,将来自最佳解和反向传播神经网络的数据用于模拟SB-RF模型的洪水控制。本文不仅证明了该模型在控制城市洪水中的有效性,而且建立了预期的平均峰值径流减少率,并提出了一种优化流量控制的方法。研究结果被证明可为台风季节台北市等城市的城市防洪提供参考。

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