Study on mountain torrent warning method based on refined rainfall forecast

Wei Liu; Shilei Chen

doi:10.1117/12.2673398

3 April 2023 Study on mountain torrent warning method based on refined rainfall forecast

Wei Liu, Shilei Chen

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125991J (2023) https://doi.org/10.1117/12.2673398
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

In view of the characteristics of mountain torrent, such as sudden, frequent, destructive, and difficult prevention and control, an advanced method of grid accurate early warning based on refined rainfall forecast data and measured rainfall data, multi rainfall forecast product optimization, combined with the survey and evaluation results of mountain torrents, can accurately predict the risk of mountain torrents 1 to 3 hours in advance, and effectively improve the timeliness and accuracy of mountain torrents early warning.

Citation Download Citation

Wei Liu and Shilei Chen "Study on mountain torrent warning method based on refined rainfall forecast", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125991J (3 April 2023); https://doi.org/10.1117/12.2673398

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