Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework

Abstract

Pluvial flooding is a common type of natural hazard caused by rainfall events with high intensity and short duration, which may lead to substantial property damages, transportation interruptions, and casualties. Modern cities are susceptible to pluvial flooding due to dense population and advanced economic development. To facilitate the development of better flood control and risk mitigation strategies, this study presents a new quantitative flood susceptibility analysis framework to estimate the potential flood extents and scale. The framework is based on the multi-criteria decision-making methods within a platform of the geographic information system (GIS). A composite urban flood risk index (FRI) is derived from various flood conditioning factors. The FRI consists of flood vulnerability index, hazard factors, and resilience capacity indicators. The flood-susceptible map is generated using the GIS spatial analysis tools and the analytic hierarchy process method. Zhengzhou city, China, is selected as the case study area. The result map shows that the highly susceptible areas are mainly located in Jinshui District, accounting for 64% of the total area of the risk zone. To further validate this framework, a flood inventory map is produced by mapping 74 test locations identified through survey data in this area, followed by plotting a receiver operating characteristic (ROC) curve. The ROC shows an area under the curve of 74.27%, which validates the proposed framework. Compared with other methods, the proposed framework is particularly suitable for application in data-scarce cases.

An Evaluation of Urban Resilience to Flooding

“…(2) Evaluation methods of urban flood resilience. This includes urban mitigation assessment methods, which are considered an essential step to reduce flood risk and better prepare for natural hazards [6,[30][31][32][33].…”

“…Based on this, flood resilience was evaluated by the use of the Decision Test and Evaluation Laboratory (DEMATEL), interpreted structural model (ISM), and ANP [26]. Lin et al (2019) presented a new quantitative flood susceptibility analysis framework to estimate the potential flood extents and scale. This framework was based on the multicriteria decision-making methods within a platform of the geographic information system (GIS).…”

Investigation of Effects of Urbanization on Flood Risk in Bilecik Province

“…Ayrıca bazı çalışmalarda, CBS tabanlı bir model oluşturularak kentsel su baskını simülasyonları gerçekleştirilmiştir [10,11]. Bu çalışmada da kullanılan CBS tabanlı çok kriterli analiz yöntemi kullanılarak kentsel taşkın duyarlılık analizleri yapılmıştır [12,13]. Hidrolojik ve hidrolik analizlerin CBS kullanılarak birlikte ele alındığı çalışmalar da yapılmıştır [14,15].…”

Geomorphology of landslide–flood-critical areas in hilly catchments and urban areas for EWS (Feltrino Stream and Lanciano town, Abruzzo, Central Italy)

“…Detailed urban geomorphological mapping is, thus, a useful tool for understanding the effects of urbanization on geomorphic systems and geo-hydrological risk (e.g. pluvial floods; Bathrellos et al, 2012;Eeyles, 1997;Lin et al, 2019;Paliaga et al, 2019;Roccati et al, 2020;Visser, 2014).…”