An Improved Simplified Urban Storm Inundation Model Based on Urban Terrain and Catchment Modification

• Main Authors: Yao Li, Tangao Hu, Gang Zheng, Lida Shen, Jinjin Fan, Dengrong Zhang
• Format: Article
• Language: English
• Published: MDPI AG 2019-11-01
• Series: Water
• Subjects: simplified urban storm inundation model; urban terrain modification; contributing areas of depressions; inundation projection; haining city
• Online Access: https://www.mdpi.com/2073-4441/11/11/2335

Flooding caused by unpredictable high-intensity rainfall events in urban areas has become a global phenomenon due to the combined effect of urbanization and climate change. There are numerous hydrodynamic models for urban flooding simulation and management. However, it is difficult for most of these models to simplify the surface runoff process and still provide high simulation accuracy. In this study, an improved simplified urban storm inundation model (SUSIM) that integrates urban terrain, precipitation, surface runoff and inundation models was proposed to quickly and accurately simulate the different inundation conditions by modifying the urban terrain and catchments. Haining City, China, was selected as a case study in which SUSIM was tested and validated. The results were as follows: (1) Detailed locations and depths of inundation were quickly calculated with high correlation coefficient (≥75%) compared to three actual rainfall events. (2) Four scenarios under different rainfall intensities (5-, 10-, 20- and 50-year return period, respectively) were designed. The maximum inundation depths significantly increased from 403 mm to 1522 mm and the maximum inundation area increased from 2904 m² to 7330 m². According to the simulation results, Haining Avenue, the West Mountain Park and the old urban area in the northeast part of the city would encounter the most extensive and severe inundation. The result reveals that the SUSIM could find inundation locations and calculate inundation depth and area quickly. It provides better insights and tools for urban inundation simulation and planning strategies.