Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3349-2022
https://doi.org/10.5194/nhess-22-3349-2022
Research article
 | 
17 Oct 2022
Research article |  | 17 Oct 2022

Real-time urban rainstorm and waterlogging disaster detection by Weibo users

Haoran Zhu, Priscilla Obeng Oforiwaa, and Guofeng Su

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Latest update: 15 Jun 2024
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Short summary
We promote a new method to detect waterlogging disasters. Residents are directly affected by waterlogging, and we can collect their comments on social networks. Compared to official-authentication and personal-certification users, the microblogs posted by general users can better show the intensity and timing of waterlogging. Through text and sentiment features, we can separate microblogs with waterlogging information from other ones and mark high-risk regions on maps.
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