Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models
文献类型：期刊论文
| 作者 | Li, Yuqing1,2; Gao, Jiangbo1,2; Yin, Jie3,4; Liu, Lulu1,2; Zhang, Chuanwei1,2; Wu, Shaohong1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 16期号:2页码:20 |
| 关键词 | LULC flood risk urbanization socioeconomic Chongqing remote sensing data |
| DOI | 10.3390/rs16020219 |
| 通讯作者 | Wu, Shaohong(wush@igsnrr.ac.cn) |
| 英文摘要 | In the context of urbanization, frequent flood event have become the most common natural disasters, posing a significant challenge to human society. Considering the effects of urbanization on flood risk is critical for flood risk reduction and reasonable land planning strategies at the city scale. This study proposes an integrated approach based on remote sensing data using CA, Markov, and simplified hydrodynamic (FloodMap) models to accurately and effectively assess flood risk under urbanization. Taking Chongqing City as a case study, this paper analyzes the temporal and spatial variations in land use/land cover (LULC) in 2010, 2015, and 2018 and predicts the LULC for 2030, based on historic trends. Flood risk is assessed by combining the hazard, exposure, and modified vulnerability. The results suggest that the area of built-up land will increase significantly from 19.56% in 2018 to 25.21% in 2030. From 2010 to 2030, the area of medium and high inundation depths will increase by 10 and 16 times, respectively. Flood damage varies remarkably according to the LULC and return period. The expected annual damage (EAD) has been estimated to increase from USD 68 million in 2010 to USD 200 million in 2030. Flood risk is proportional to population and is significantly inversely proportional to socioeconomic level. The approach used here can provide a comprehensive understanding of flood risk and is significant for land-use policymaking and the management of flood control facilities. |
| WOS关键词 | DIFFUSION-WAVE TREATMENT ; DISASTER RISK ; CLIMATE-CHANGE ; LAND ; VULNERABILITY ; PATTERNS ; EXPOSURE ; IMPACT ; SIMULATION ; LANDSCAPE |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001151092600001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202396]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Shaohong |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 3.East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China 4.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yuqing,Gao, Jiangbo,Yin, Jie,et al. Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models[J]. REMOTE SENSING,2024,16(2):20. |
| APA | Li, Yuqing,Gao, Jiangbo,Yin, Jie,Liu, Lulu,Zhang, Chuanwei,&Wu, Shaohong.(2024).Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models.REMOTE SENSING,16(2),20. |
| MLA | Li, Yuqing,et al."Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models".REMOTE SENSING 16.2(2024):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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