PI：Xu Tao

Keywords: Green space pattern; Stormwater regulation-storage potential; Sponge city; Multi-objective optimization; Pareto optimality

Abstract：

Global climate change has significant impact on water environment, posing a great challenge on the urban water security construction. The construction of “Sponge City” took place in this context. This research reviewed thoroughly on 3 aspects: stormwater regulating and storage potential of urban green space system, watershed hydrological model and landscape pattern optimization of green space. It was found that existing studies lacked systematic analysis on the impact factors of green space system’s stormwater regulation-storage capacity, what’s more, existing green space pattern optimizations were merely quantitative and were hardly to be presented spatially. Based on hydrological model and optimal algorithm, this research supposed to develop the GSPO_SRS, Green Space Pattern Optimization based on Stormwater Regulation and Storage, achieving the creation of the optimum solution for green space pattern. The relationship between green space pattern and stormwater regulation-storage potential will be discussed emphatically. The searching of the optimal patten of green space is another key issue. Pareto optimality in the realm of economics was adopted, constructing the Pareto optimality set of optimal green space pattern based on stormwater regulating and storage, by analyzing the spatial probabilistic distribution. Meanwhile, the GSPO_SRS model will be tested by the case study of typical cities. Moreover, the pattern of green space of different cities will be evaluated by the similarity with optimal green space. This research bears significant meanings practically in the field of urban planning and water management.