Exploring the spatial pattern of house collapse rates caused by extreme rainfall in central China: The role of natural and social factors
文献类型：期刊论文
| 作者 | Feng, Yuqing; Hu, Maogui; Xu, Chengdong; Zhou, Ling; Nie, Juan |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 897页码:165411 |
| 关键词 | China Extreme rainfall House collapse rate GeoDetector Interactive effects |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2023.165411 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The collapse of houses represents a prominent hazard associated with floods, mudslides, and other disastrous events resulting from extreme rainfall. Nevertheless, previous research in this area has been insufficiently dedicated to comprehending the factors that specifically contribute to house collapse triggered by extreme rainfall. This study endeavors to address this knowledge gap by proposing a hypothesis that the occurrence of house collapse, induced by extreme rainfall, demonstrates spatial heterogeneity and is subject to the interactive impacts of various factors. In the study, we investigate the relationship between house collapse rates and natural and social factors in the provinces of Henan, Shanxi, and Shaanxi provinces in 2021. These provinces are representative of flood-prone areas in central China. Spatial scan statistics and GeoDetector model were used to analyze spatial hotspot areas of house collapse rates and determinant power of natural and social factors on the spatial heterogeneity of house collapse rates, respectively. Our analysis reveals that the spatial hotspot areas predominantly concentrated in regions characterized by high rainfall, including areas along riverbanks and low-lying regions. Multiple factors contribute to the variations in house collapse rates. Among these factors, precipitation (q = 0.32) is the most significant, followed by the ratio of brickconcrete houses (q = 0.24), per capita GDP (q = 0.13), elevation (q = 0.13) and other factors. Notably, the interaction of precipitation and slope explains 63 % of the damage pattern, making it the strongest causal factor. The results substantiate our initial hypothesis and underscore the fact that the pattern of damage does not solely rely on a singular factor but rather on the interaction of multiple factors. These findings hold significance in advancing the formulation of more precise strategies aimed at bolstering safety measures and safeguarding properties within regions susceptible to flooding. |
| WOS关键词 | DRAINAGE DENSITY ; RISK-ASSESSMENT ; FLOOD RISK ; INTENSIFICATION ; PRECIPITATION ; BENEFITS |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001046815400001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194494]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Academy of Sciences 2.University of Chinese Academy of Sciences, CAS 3.Institute of Geographic Sciences & Natural Resources Research, CAS |
| 推荐引用方式 GB/T 7714 | Feng, Yuqing,Hu, Maogui,Xu, Chengdong,et al. Exploring the spatial pattern of house collapse rates caused by extreme rainfall in central China: The role of natural and social factors[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,897:165411. |
| APA | Feng, Yuqing,Hu, Maogui,Xu, Chengdong,Zhou, Ling,&Nie, Juan.(2023).Exploring the spatial pattern of house collapse rates caused by extreme rainfall in central China: The role of natural and social factors.SCIENCE OF THE TOTAL ENVIRONMENT,897,165411. |
| MLA | Feng, Yuqing,et al."Exploring the spatial pattern of house collapse rates caused by extreme rainfall in central China: The role of natural and social factors".SCIENCE OF THE TOTAL ENVIRONMENT 897(2023):165411. |
入库方式： OAI收割
来源：地理科学与资源研究所
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