Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data
文献类型：期刊论文
| 作者 | Qian, Jiale; Du, Yunyan; Yi, Jiawei; Liang, Fuyuan; Wang, Nan; Ma, Ting; Pei, Tao |
| 刊名 | NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
 |
| 出版日期 | 2023-01-26 |
| 卷号 | 23期号:1页码:317-328 |
| ISSN号 | 1561-8633 |
| DOI | 10.5194/nhess-23-317-2023 |
| 文献子类 | Article |
| 英文摘要 | Disaster-relevant authorities could make uninformed decisions due to the lack of a clear picture of urban resilience to adverse natural events. Previous studies have seldom examined the near-real-time human dynamics, which are critical to disaster emergency response and mitigation, in response to the development and evolution of mild and frequent rainfall events. In this study, we used the aggregated Tencent location request (TLR) data to examine the variations in collective human activities in response to rainfall in 346 cities in China. Then two resilience metrics, rainfall threshold and response sensitivity, were introduced to report a comprehensive study of the urban resilience to rainfall across mainland China. Our results show that, on average, a 1 mm increase in rainfall intensity is associated with a 0.49 % increase in human activity anomalies. In the cities of northwestern and southeastern China, human activity anomalies are affected more by rainfall intensity and rainfall duration, respectively. Our results highlight the unequal urban resilience to rainfall across China, showing current heavy-rain-warning standards underestimate the impacts of heavy rains on residents in the northwestern arid region and the central underdeveloped areas and overestimate impacts on residents in the southeastern coastal area. An overhaul of current heavy-rain-alert standards is therefore needed to better serve the residents in our study area. |
| WOS关键词 | VULNERABILITY ; INFRASTRUCTURE ; THRESHOLD ; DROUGHT ; SYSTEM ; CITIES |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| WOS记录号 | WOS:000922819700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189632]  |
| 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.University of Chinese Academy of Sciences, CAS 2.Chinese Academy of Sciences 3.Institute of Geographic Sciences & Natural Resources Research, CAS |
| 推荐引用方式 GB/T 7714 | Qian, Jiale,Du, Yunyan,Yi, Jiawei,et al. Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,2023,23(1):317-328. |
| APA | Qian, Jiale.,Du, Yunyan.,Yi, Jiawei.,Liang, Fuyuan.,Wang, Nan.,...&Pei, Tao.(2023).Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data.NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,23(1),317-328. |
| MLA | Qian, Jiale,et al."Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data".NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 23.1(2023):317-328. |
入库方式： OAI收割
来源：地理科学与资源研究所
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