A multi-dimensional statistical rainfall threshold for deep landslides based on groundwater recharge and support vector machines
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DOI: 10.1007/s11069-016-2453-3
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Cited by:
- Francesco Fusco & Massimiliano Bordoni & Rita Tufano & Valerio Vivaldi & Claudia Meisina & Roberto Valentino & Marco Bittelli & Pantaleone De Vita, 2022. "Hydrological regimes in different slope environments and implications on rainfall thresholds triggering shallow landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 907-939, October.
- Jana Smolíková & Filip Hrbáček & Jan Blahůt & Jan Klimeš & Vít Vilímek & Juan Carlos Loaiza Usuga, 2021. "Analysis of the rainfall pattern triggering the Lemešná debris flow, Javorníky Range, the Czech Republic," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2353-2379, April.
- Massimiliano Bordoni & Valerio Vivaldi & Roberta Bonì & Simone Spanò & Mauro Tararbra & Luca Lanteri & Matteo Parnigoni & Alessandra Grossi & Silvia Figini & Claudia Meisina, 2023. "A methodology for the analysis of continuous time-series of automatic inclinometers for slow-moving landslides monitoring in Piemonte region, northern Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1115-1142, January.
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Keywords
Rainfall threshold; Support vector machines; Groundwater recharge; Deep-seated landslide; Probability; Early warning system;All these keywords.
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