A New Urban Waterlogging Simulation Method Based on Multi-Factor Correlation

Waterlogging simulation is a key technology for solving urban waterlogging problems. The current modeling process relatively complex and requires high basic data, which not conducive to rapid popularization. In this study, we evaluated the correlation between rainfall water using following factors: terrain, evaporation, infiltration, pipe drainage capacity, river flood level. By quantifying influence value of each factor on rainfall, established simplified model fast calculation depth through input rainfall. data was collected from Guangzhou, China set up multi-factor model, verify results model. After original added/deducted, added/loss value, relationship net maximum better than that depth. Establishing stable point at least three historical event parameter calibration by sensitivity analysis. Comparing four points, (error = −13%) presented error in simulating volume, followed Mike Urban −19%), finally SWMM 20%). Furthermore, required time (less 1 s), (About half minute). analyzing 42 points with conditions were screened out further validate Each modeled based field, last rainstorm used verification. mean comparison simulated measured 3%, R2 0.718. summary, fewer has simple wide applicability, makes it easy realize intelligent adjustment, more suitable urgent requirements prediction. may prove accurate provide scientific decision support prevention control waterlogging.