Articles | Volume 21, issue 4
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, 2021
https://doi.org/10.5194/nhess-21-1179-2021
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (04 Jan 2021) by Philip Ward
AR by Ya Hao on behalf of the Authors (09 Jan 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Feb 2021) by Philip Ward
RR by Anonymous Referee #1 (15 Feb 2021)
RR by Valerio Lorini (24 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (01 Mar 2021) by Philip Ward
AR by Ya Hao on behalf of the Authors (02 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Mar 2021) by Philip Ward
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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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