Improved Framework for Assessing Vulnerability to Different Types of Urban Floods

Quntao Yang, Shuliang Zhang, Qiang Dai and Rui Yao
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Quntao Yang: Key Laboratory of VGE of Ministry of Education, Nanjing 210023, China
Shuliang Zhang: Key Laboratory of VGE of Ministry of Education, Nanjing 210023, China
Qiang Dai: Key Laboratory of VGE of Ministry of Education, Nanjing 210023, China
Rui Yao: Key Laboratory of VGE of Ministry of Education, Nanjing 210023, China

Sustainability, 2020, vol. 12, issue 18, 1-18

Abstract: Vulnerability assessment is an essential tool in mitigating the impact of urban flooding. To date, most flood vulnerability research has focused on one type of flood, such as a pluvial or fluvial flood. However, cities can suffer from urban flooding for several reasons, such as precipitation and river levee overtopping. Therefore, a vulnerability assessment considering different types of floods (pluvial floods, fluvial floods, and compound flooding induced by both rainfall and river overtopping) was conducted in this study. First, a coupled urban flood model, considering both overland and sewer network flow, was developed using the storm water management model (SWMM) and LISFLOOD-FP model to simulate the different types of flood and applied to Lishui, China. Then, the results of the flood modeling were combined with a vulnerability curve to obtain the potential impact of flooding on different land-use classes. The results indicated that different types of floods could have different influence areas and result in various degrees of flood vulnerability for different land-use classes. The results also suggest that urban flood vulnerability can be underestimated due to a lack of consideration of the full flood-induced factors.

Keywords: flood vulnerability; urban pluvial flood; fluvial flood; compound flood; flood modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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