A multi-parameter monitoring system and early warning model for rainfall-induced landslides
Author:
Funder
National Natural Science Foundation of China, General Program
ARC Discovery Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10064-024-03808-5.pdf
Reference27 articles.
1. Bagwari S, Gehlot A, Singh R et al (2022) Low-cost sensor-based and LoRaWAN opportunities for landslide monitoring systems on iot platform: A review. IEEE Access 10:7107–7127. https://doi.org/10.1109/ACCESS.2021.3137841
2. Chae BG, Park HJ, Catani F et al (2017) Landslide prediction, monitoring and early warning: a concise review of state-of-the-art. Geosci J 21:1033–1070. https://doi.org/10.1007/s12303-017-0034-4
3. Cummins PR (2019) Irrigation and the Palu landslides. Nat Geosci 12:881–882. https://doi.org/10.1038/s41561-019-0467-7
4. Gariano SL, Guzzetti F (2016) Landslides in a changing climate. Earth Sci Rev 162:227–252. https://doi.org/10.1016/j.earscirev.2016.08.011
5. GB/T 28592–2012 (2012) Grade of precipitation. Standards press of China, Beijing. https://openstd.samr.gov.cn/bzgk/gb/newGbInfo?hcno=B4A00E4ABCF80F8C6A048C1D0121A97D. Accessed 14 Feb 2023
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