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- W4307525478 abstract "The disaster-relevant authorities could make an uninformed decision due to the lack of a clear picture of the urban resilience to adverse natural events. Previous studies seldom examine the near-real-time human dynamics, which are critical to disaster emergency response and mitigation, in response to the development and evolution of a natural hazard. In this study, we used the aggregated Tencent location request data (TLR) to examine the variations in collective human activities in response to rains in 346 cities in China. Then we report a comprehensive study of the urban resilience to rains across the mainland China. Our results show that, on average, a 1-mm increase in rainfall intensity is associated with a 0.49 % increase of the 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 rains across China, showing current heavy rain warning standards underestimate the impacts of heavy rains on the residents in the northwest arid region and the central underdeveloped areas, and overestimate the impacts on the residents in the southeastern coastal area. An overhaul of current heavy rain alert standards therefore is needed to better serve the residents in our study area." @default.
- W4307525478 created "2022-11-02" @default.
- W4307525478 date "2022-10-27" @default.
- W4307525478 modified "2023-10-04" @default.
- W4307525478 title "Comment on nhess-2022-167" @default.
- W4307525478 doi "https://doi.org/10.5194/nhess-2022-167-rc3" @default.
- W4307525478 hasPublicationYear "2022" @default.
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