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Multi-objective optimal design of detention tanks in the urban stormwater drainage system : framework development and case study

机译:城市雨水排放系统中储罐的多目标优化设计:框架发展与案例研究

摘要

Detention tank plays an important role in the flooding control in the downstream areas of the urban stormwater drainage system (USDS) during the wet weather seasons. For complex watersheds with specific local flooding control policies, the conventional optimization and design methods are found to be not sufficient for effectively and optimally locating and sizing appropriate detention tanks any more. This paper investigates the optimal design of detention tanks under the constraints of local flooding control criteria, with the aim to develop an efficient and robust method and framework for the design of detention tank network. Coupled with the SWMM-based hydraulic simulation, a modified particle swarm optimizer is adopted to find out non-dominated solutions to minimize both the engineering cost and flooding risks by taking the local design criteria into consideration for the more realistic local engineering application. To validate the proposed method, a real-life case in SA city in China is taken for example to obtain optimal layout and sizes of the detention tank network under different construction factors and design conditions. Different rainfall return periods are also tested to guarantee the robustness of the optimal solutions. The results of this study confirm the feasibility and validity of the proposed methodological framework for multi-objective optimal design of detention tanks in the USDS.
机译:在雨季,蓄水池在城市雨水排放系统(USDS)下游地区的洪水控制中起着重要作用。对于具有特定局部防洪政策的复杂流域,传统的优化和设计方法已被发现不足以有效地,优化地定位合适的储水罐并确定其大小。本文研究了在当地洪水控制标准的约束下的储罐优化设计,旨在为储罐网络的设计开发一种高效,鲁棒的方法和框架。结合基于SWMM的水力模拟,采用了改进的粒子群优化器来找出非主要解决方案,从而通过考虑本地设计标准,从而将工程成本和洪水风险降到最低,以实现更实际的本地工程应用。为验证该方法的有效性,以中国某城市某城市的实际案例为例,获得了在不同施工因素和设计条件下最优的储罐网络布局和尺寸。还测试了不同的降雨返回期,以确保最佳解决方案的稳定性。这项研究的结果证实了拟议中的USDS储罐多目标优化设计方法框架的可行性和有效性。

著录项

  • 作者

    Li F; Duan HF; Yan H; Tao T;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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