This paper develops a Blue-Green Infrastructure (BGI) performance evaluation approach by integrating a Non-dominated Sorting Genetic Algorithm II (NSGA-II) with a detailed hydrodynamic model. The proposed Cost OptimisatioN Framework for Implementing blue-Green infrastructURE (CONFIGURE), with a simplified problem-framing process and efficient genetic operations, can be connected to any flood simulation model. In this study, CONFIGURE is integrated with the CityCAT hydrodynamic model to optimise the locations and combinations of permeable surfaces. Permeable zones with four different levels of spatial discretisation are designed to evaluate their efficiency for 100-year and 30-year return period rainstorms. Overall, the framework performs effectively for the given scenarios. The application of the detailed hydrodynamic model explicitly captures the functioning of permeable features to provide the optimal locations for their deployment. Moreover, the size and the location of the permeable surfaces and the intensity of the rainstorm events are the critical performance parameters for economical BGI deployment.

翻译：本文通过将非支配排序遗传算法II（NSGA-II）与精细化水动力学模型相结合，提出了一种蓝绿基础设施（BGI）性能评估方法。所提出的实施蓝绿基础设施成本优化框架（CONFIGURE）采用简化的问题构建流程和高效的遗传操作，可与任意洪水模拟模型对接。本研究将CONFIGURE与CityCAT水动力学模型集成，以优化透水表面的位置与组合方式。设计了四种不同空间离散化程度的透水区域，评估其在100年及30年重现期暴雨条件下的效能。总体而言，该框架在给定场景下表现出高效性。精细化水动力学模型的应用能明确捕捉透水设施的功能特性，从而确定其最优部署位置。此外，透水表面的尺寸与位置以及暴雨事件的强度是经济高效部署BGI的关键性能参数。