Application of Risk Analysis in the Screening of Flood Disaster Hot Spots and Adaptation Strategies

Er-Chiang Huang, Pei-Wen Li, Shao-Wei Wu and Chao-Yuan Lin
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Er-Chiang Huang: Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402202, Taiwan
Pei-Wen Li: Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402202, Taiwan
Shao-Wei Wu: Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402202, Taiwan
Chao-Yuan Lin: Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402202, Taiwan

Land, 2021, vol. 11, issue 1, 1-18

Abstract: In recent years, Taiwan has established a sound flood control foundation in terms of river management. Due to climate change and land development, surface runoff has increased. In addition, the functions of flood control engineering facilities have their limits. Surface runoff cannot be fully absorbed by rivers, and frequent floods still occur in some areas. According to the characteristics of water flowing along the terrain to low-lying land, the terrain features can be used to find out the hot areas prone to flooding and the appropriate location of flood storage space for improving flooding. On the basis of the natural terrain environment, the disaster risk framework is used to manage environmental complexity, and to carry out research on flood warning and governance decision-making systems, so that human beings can coexist with the uncertainty of flood risk. In this study, the Zhuoshuixi Basin was used as the sample area, the SCS-CN method was used to analyze the excess runoff, and the risk concept was used to establish a flood evaluation model. In addition, through the changes in land use, the SCS-CN method estimates the difference of potential maximum retention, quantifies the variation of excess rainfall in each watershed division, and uses the digital elevation model to calculate the depression site to analyze the relationship between the difference of potential maximum retention and the depression space of the watershed. The results show that the adaptation strategy for high-risk flooded areas should be strengthened, and areas with large water storage space and a small potential maximum retention difference can be the best location for offsite compensation.

Keywords: SCS-CN; flood assessment model; land use; runoff distribution (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
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