Combination of large- and small-scale nature-based solutions for enhancing the performance of urban drainage systems

W. Sadiqi , M. Sediqmal , M.A. Mayar , R. Rahmani
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Abstract

Urban flooding poses increasing risks to cities, requiring solutions that integrate hydrological effectiveness with governance feasibility. This study evaluates the combined application of large- and small-scale nature-based solutions (NBS) to improve urban drainage system performance. Using the Storm Water Management Model (SWMM), three stakeholder-defined NBS combinations were tested under design storm scenarios for a selected study area in Cali, Colombia. The prioritization of measures was guided by Multi-Attribute Value Theory (MAVT), which incorporated input from municipal authorities, planners, and academia through structured scoring of hydrological, technical, and societal criteria. The calibrated and validated SWMM model showed that combined NBS interventions reduced peak runoff by up to 32 percent in major flood events and enhanced delay of peak flow compared to baseline conditions. Simulations under multiple rainfall return periods confirmed the robustness of the results. In addition to hydrological performance, the study highlights co-benefits of NBS such as biodiversity support, urban cooling, and recreational potential, which strengthen their relevance for integrated planning. Unlike optimization-based approaches, the proposed framework emphasizes stakeholder-driven prioritization, ensuring that selected measures align with local governance capacity and community preferences. The findings demonstrate that combining large- and small-scale NBS can provide resilient and socially grounded solutions for urban flood risk management.
结合大型和小型的基于自然的解决方案,以提高城市排水系统的性能
城市洪水给城市带来越来越大的风险,需要将水文有效性与治理可行性结合起来的解决方案。本研究评估了大型和小型基于自然的解决方案(NBS)在改善城市排水系统性能方面的联合应用。使用暴雨水管理模型(SWMM),在哥伦比亚卡利选定的研究区域的设计暴雨情景下测试了三种由利益相关者定义的NBS组合。多属性价值理论(Multi-Attribute Value Theory, MAVT)指导了措施的优先排序,该理论通过对水文、技术和社会标准进行结构化评分,整合了市政当局、规划者和学术界的意见。经过校准和验证的SWMM模型显示,与基线条件相比,NBS联合干预措施在重大洪水事件中减少了高达32%的峰值径流,并增强了峰值流量的延迟。多个降雨回归期的模拟验证了结果的稳健性。除了水文性能外,该研究还强调了NBS的协同效益,如生物多样性支持、城市降温和娱乐潜力,这些都加强了它们与综合规划的相关性。与基于优化的方法不同,拟议的框架强调利益相关者驱动的优先顺序,确保选定的措施与地方治理能力和社区偏好保持一致。研究结果表明,将大型和小型国家统计局相结合,可以为城市洪水风险管理提供具有弹性和社会基础的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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