title: A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas.
abstract: Flood risk analysis is more complex in urban areas than that in rural areas because of their closely packed buildings, different kinds of land uses, and large number of flood control works and drainage systems. The purpose of this paper is to propose a practical framework for flood risk analysis and benefit assessment of flood control measures in urban areas. Based on the concept of disaster risk triangle (hazard, vulnerability and exposure), a comprehensive analysis method and a general procedure were proposed for urban flood risk analysis. Urban Flood Simulation Model (UFSM) and Urban Flood Damage Assessment Model (UFDAM) were integrated to estimate the flood risk in the Pudong flood protection area (Shanghai, China). S-shaped functions were adopted to represent flood return period and damage (R-D) curves. The study results show that flood control works could significantly reduce the flood risk within the 66-year flood return period and the flood risk was reduced by 15.59%. However, the flood risk was only reduced by 7.06% when the flood return period exceeded 66-years. Hence, it is difficult to meet the increasing demands for flood control solely relying on structural measures. The R-D function is suitable to describe the changes of flood control capacity. This frame work can assess the flood risk reduction due to flood control measures, and provide crucial information for strategy development and planning adaptation.
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. lcc0828@gmail.com.|College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China. lcc0828@gmail.com.
authors.forename: Chaochao
authors.initials: C
authors.lastname: Li
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. chengxt@iwhr.com.
authors.forename: Xiaotao
authors.initials: X
authors.lastname: Cheng
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. lina@iwhr.com.
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. duxh@iwhr.com.
authors.forename: Xiaohe
authors.initials: X
authors.lastname: Du
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. yqcherie@126.com.
authors.forename: Qian
authors.initials: Q
authors.lastname: Yu
authors.affiliation: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. kanguangyuan@126.com.
authors.forename: Guangyuan
authors.initials: G
authors.lastname: Kan
mesh_terms: D002681:China; D002947:Cities; D004190:Disasters / Q000517:prevention & control*; D055868:Floods; D018570:Risk Assessment / Q000379:methods
keywords: EAD (expected annual damage); R-D function; UFDAM; UFSM; flood control measures; flood risk analysis