Influence of Urban Blue-green Landscape Pattern on Rainfall-flood Regulation and Storage Function

In recent years, frequent urban waterlogging has aroused strong concern in the society. The existing researches largely focus on the impacts of landscape pattern changes on flood from the perspective of the disaster genesis, and the response relationship between the blue-green landscape pattern and the rainfall-flood regulation and storage functions needs to be further studied. Taking Jiangxia District of Wuhan as the target, this research, by comparing the results of remote sensing images under continuous sunny and rainy days, establishes a rainfall-flood transfer matrix to characterize the storage conditions. Based on literature review and Spilman correlation coefficient analysis, it selects the landscape indexes of PARA, SHAPE, FRAC, CIRCLE and ECON, and applies the binary logistic regression analysis to analyze the influence of landscape pattern on the function of rainfall-flood regulation and storage. The results show that: 1) The FRAC has a direct effect on the capacity of rainfall-flood regulation and storage, and the protection of the natural form of blue-green space should be highlighted in the optimization of urban storage layout. 2) There is no significant correlation between the rainfall-flood regulation and storage and the contagion metrics of blue-green space. The results provide quantitative support for the theory of storage efficiency of urban blue-green landscape pattern, and ideas for the study of urban flood control and landscape pattern optimization.