Abstract:Taking Shapingba District of Chongqing as the research area, aiming at the spatial heterogeneity and dynamic evolution characteristics of urban waterlogging risk in mountainous cities, a comprehensive evaluation system incorporating hazard, exposure and vulnerability is built. A combined subjective-objective weighting method integrating the Analytic Hierarchy Process (AHP) and entropy weight method is used to quantitatively analyze the weights of eight indicators, including rainfall intensity, elevation, slope, population density, road network density and the others. The results show that rainfall intensity (comprehensive weight 0.32), elevation (0.12) and slope (0.24) are the core factors influencing the waterlogging hazard. Elevation and slope serve as the fundamental factors of waterlogging hazard by controlling the runoff convergence and discharging efficiency. As a climatic stress factor, the rainfall intensity directly determines the upper limit of risk levels. The eastern old urban area has become the high-risk area because of its low-lying terrain, high imperviousness and dense population. The research results provide a scientific basis for the refined management of urban waterlogging risks in mountainous cities and offer the practical references for the application of multi-factor risk assessment methods.