Integrating resilience into an urban flood risk assessment framework: a case study of the Minzhi region, Shenzhen City

• Published in: Stochastic environmental research and risk assessment Vol. 37; no. 3; pp. 1183 - 1197
• Main Authors: Zheng, Jiaxuan, Huang, Guoru
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023; Springer Nature B.V
• Subjects: Aquatic Pollution; Case studies; Casualties; Chemistry and Earth Sciences; Computational Intelligence; Computer Science; Earth and Environmental Science; Earth Sciences; Economic impact; Environment; Environmental risk; Flood mapping; Flooding; Floods; Green infrastructure; Land use; Math. Appl. in Environmental Science; Original Paper; Physics; Probability Theory and Stochastic Processes; Resilience; Risk assessment; Risk levels; Statistics for Engineering; Waste Water Technology; Water depth; Water Management; Water Pollution Control; System performance curve; Urban flood risk assessment; Shenzhen City; Resilience
• ISSN: 1436-3240; 1436-3259
• DOI: 10.1007/s00477-022-02325-9

History has witnessed a long list of flood events and resilience has been a topical concept in flood risk assessment. However, previous studies did not integrate resilience into urban flood risk assessment frameworks and describe the merits of considering resilience in them. Here, a case study was conducted in Shenzhen City with an improved resilience metric based on system performance curve and the maximum and minimum water depth thresholds. A novel urban flood assessment framework was developed and compared with a conventional framework using hazard, vulnerability, and flood risk maps. The results demonstrate that in the resilience-based framework, some areas with high maximum inundation depths and long inundation durations have lower hazard than the framework without resilience because of their high resilience. More areas with low resilience are classified as very high hazard zones and hazard levels of some areas with high resilience decrease. The resilience-based framework considers the impact of land use type without using it as an index. The calculations are simplified and there is a greater emphasis on economic loss and casualties. Flood risk levels of areas in traffic lands increase while commerce, residence, greenspace, and waterbody decrease. The results suggest that integrating resilience into the urban flood risk assessment framework has substantial merits and resilience should be considered when assessing urban flood risk.