Differentiated strategy is a crucial approach to improve urban flood resilience

The increasing frequency of extreme rainfall events in urban areas has highlighted the need for a focus on urban resilience to achieve effective emergency and mitigation planning. This study presents a multi-stage evaluation framework that integrates curve morphological feature parameters derived from urban flood intensity within grid cells, demonstrated through a case study in Shahekou District, Dalian City, China. The results show that morphological parameters, particularly the centroid indicator, provided an accurate description of resilience prioritization and performance differences. The two grids showed similar characteristics, but the centroid positions were 81.03 and 80.83 min in the middle stage and 313.07 and 307.53 min in the late stage, respectively. Increased rainfall intensity led to a reduction in flood resilience. The flood resilience values were 0.993, 0.992, 0.991, and 0.990, for return periods of 50, 100, 150, and 200 years, respectively. The interaction between the landscape pattern of the catchment area and intensity level of urban flooding creates distinct resilience mechanism. Two clusters with lower resilience exhibited significant retarding effects in the middle and late stages, which were negatively correlated with road density, with Pearson correlation coefficients of 0.41 and 0.57, respectively. These findings underscore the importance of developing differentiated resilience strategies tailored to specific resilience clusters, such as staged drainage interventions and landscape optimization.