复杂地形下"绿-灰-蓝"系统的防涝协同与优化OA

This study aims to develop and optimize a"green-grey-blue"synergistic governance scheme to address the compound waterlogging issue of source runoff impact and terminal drainage backwater in riverbank hilly cities.To balance costs and source control benefits,the scheme uses a multi-objective optimization algorithm to scientifically configure the scale of"green"facilities,such as sunken green spaces.It implements"grey-blue"retrofitting by connecting drainage pipe networks with urban park water bodies to increase terminal storage capacity. The findings demonstrate the substantial synergistic effects of the"green-grey-blue"systematic scheme.The overall waterlogging area reduction rate ranges from 47.49%to 55.26%under rainstorm scenarios with return periods of 10 to 50 years,which is 3.45%to 7.75%higher than that of the single low-impact development(LID)scheme.The reduction effect on high-risk areas is especially noticeable:under the 10-year return period scenario,the high-risk areas can be totally eliminated,and under the extreme 50-year return period scenario,the reduction rate reaches 77.42%,which is also significantly higher than the single scheme's 62.04%. The optimization model also shows a diminishing marginal return relationship between facility investment and benefits.This study demonstrates the superiority of systematic synergistic governance and proposes an optimal path for balancing economic and hydrological benefits.