Assessing and mitigating dwelling collapse risk due to extreme precipitation: A comprehensive study using CNN-RF and GeoDetector
文献类型：期刊论文
| 作者 | Wang, Yinan3; Nie, Juan1; Xing, Zhenxiang2; Wang, Zhenbo3; Xu, Chengdong3; Li, Heng2 |
| 刊名 | INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
 |
| 出版日期 | 2024-11-01 |
| 卷号 | 114页码:104918 |
| 关键词 | Dragon boat rain Extreme precipitation Dwelling collapse risk CNN-RF GeoDetector |
| DOI | 10.1016/j.ijdrr.2024.104918 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Dragon boat rain, the most common extreme precipitation form in South China from May to June with more similar spatial distribution, caused serious loss of people's lives and property. The dwelling collapse is one of the main losses. Previous studies have paid little attention to the dwelling collapse risk caused by dragon boat rain (DCRDBR), the coupling model with CNN and RF applied to its assessment, and the influence of the precipitation process and interaction of natural and social factors on it. To fill these gaps, the CNN-RF was used to calculate the DCRDBR and the DCRDBR map was drawn. The Geodetctor was used to identify the main influencing factors and influencing factor interactions of DCRDBR, due to the spatial stratified heterogeneity of DCRDBR and the ability to obtain the determinant power of single factor and factor interaction. The results show that the F1 score and the AUC value of CNN-RF are 0.96 and 0.81, respectively. The spatial distribution of DCRDBR obtained by CNN-RF is high in the northeast and low in the southwest Guangdong Province. The total precipitation has the strongest determinant power (q = 0.54) followed by Slope (q = 0.52). The average determinant power of factors describing the precipitation process is 0.25. The combination of total precipitation and GDP/capita has the strongest determinant power of all combinations of natural and socio-economic factors (q = 0.72) followed by the total precipitation and ratio of urban population (q = 0.71). This study demonstrates the ability of CNN-RF applied to the DCRDBR assessment due to the integration of feature extraction and anti-overfitting ability, and identifies the influence of precipitation processes and the interaction of natural and socio-economic factors on the DCRDBR. It provides a solid scientific basis for crafting strategies to mitigate the impact of dragon boat rain and is conducive to the city's sustainable development. |
| WOS关键词 | IMPACT |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| WOS记录号 | WOS:001353049400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209507]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Zhenbo; Xu, Chengdong; Li, Heng |
| 作者单位 | 1.Minist Emergency Management, Natl Disaster Reduct Ctr China, Beijing 100124, Peoples R China 2.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin 150030, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yinan,Nie, Juan,Xing, Zhenxiang,et al. Assessing and mitigating dwelling collapse risk due to extreme precipitation: A comprehensive study using CNN-RF and GeoDetector[J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2024,114:104918. |
| APA | Wang, Yinan,Nie, Juan,Xing, Zhenxiang,Wang, Zhenbo,Xu, Chengdong,&Li, Heng.(2024).Assessing and mitigating dwelling collapse risk due to extreme precipitation: A comprehensive study using CNN-RF and GeoDetector.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,114,104918. |
| MLA | Wang, Yinan,et al."Assessing and mitigating dwelling collapse risk due to extreme precipitation: A comprehensive study using CNN-RF and GeoDetector".INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 114(2024):104918. |
入库方式： OAI收割
来源：地理科学与资源研究所
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