干旱区生态环境知识资源中心(Arid): Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data

Arid

DOI	10.5194/nhess-23-317-2023
	Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data
	Qian, Jiale; Du, Yunyan; Yi, Jiawei; Liang, Fuyuan; Wang, Nan; Ma, Ting; Pei, Tao
通讯作者	Du, YY
来源期刊	NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
ISSN	1561-8633
EISSN	1684-9981
出版年	2023
卷号	23 期号:1 页码:317-328
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.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000922819700001
WOS关键词	FLOOD RESILIENCE ; VULNERABILITY ; INFRASTRUCTURE ; THRESHOLD ; DROUGHT ; SYSTEM ; CITIES
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397894
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],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.