A regional early warning model of geological hazards based on big data of real-time rainfall-Reference-Cited by-同舟云学术

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A regional early warning model of geological hazards based on big data of real-time rainfall

Published:2023-01-11 Issue:3 Volume:116 Page:3465-3480
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Zhao Weidong,Cheng Yunyun,Hou Jie,Chen Yihua,Ji Bin,Ma Lei

Funder

National Natural Science Foundation of China

Natural Science Foundation for Young Scientists of Shanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-023-05819-z.pdf

Reference44 articles.

1. Abraham MT, Pothuraju D, Satyam N (2019) Rainfall thresholds for prediction of landslides in Idukki, India: an empirical approach. Water-Sui. https://doi.org/10.3390/w11102113

2. Ahmed B, Rahman MS, Sammonds P, Islam R, Uddin K (2020) Application of geospatial technologies in developing a dynamic landslide early warning system in a humanitarian context: the rohingya refugee crisis in Cox’s Bazar, Bangladesh. Geomat Nat Haz Risk 11:446–468. https://doi.org/10.1080/19475705.2020.1730988

3. Althuwaynee OF, Asikoglu O, Eris E (2018) Threshold contour production of rainfall intensity that induces landslides in susceptible regions of Northern Turkey. Landslides 15:1541–1560. https://doi.org/10.1007/s10346-018-0968-2

4. Arrogante-Funes P, Bruzon AG, Arrogante-Funes F, Ramos-Bernal RN, Vazquez-Jimenez R (2021) Integration of vulnerability and hazard factors for landslide risk assessment. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph182211987

5. Berti M, Martina MLV, Franceschini S, Pignone S, Simoni A, Pizziolo M (2012) Probabilistic rainfall thresholds for landslide occurrence using a bayesian approach. J Geophys Res-Earth Surf. https://doi.org/10.1029/2012jf002367

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