Articles | Volume 21, issue 4
https://doi.org/10.5194/nhess-21-1179-2021
https://doi.org/10.5194/nhess-21-1179-2021
Research article
 | 
06 Apr 2021
Research article |  | 06 Apr 2021

Online urban-waterlogging monitoring based on a recurrent neural network for classification of microblogging text

Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong

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Latest update: 28 Mar 2024
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Short summary
We trained a recurrent neural network model to classify microblogging posts related to urban waterlogging and establish an online monitoring system of urban waterlogging caused by flood disasters. We manually curated more than 4400 waterlogging posts to train the RNN model so that it can precisely identify waterlogging-related posts of Sina Weibo to timely determine urban waterlogging.
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