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

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

doi:https://doi.org/10.5194/nhess-21-1179-2021

Articles | Volume 21, issue 4

https://doi.org/10.5194/nhess-21-1179-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-1179-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 4

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

Supplement

https://doi.org/10.5194/nhess-21-1179-2021-supplement

Data sets

hliu2016/waterlogging: urban waterlogging (Version v1.0) H. Liu https://doi.org/10.5281/zenodo.4646972

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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.