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Volume 17, issue 12 | Copyright

Special issue: Landslide early warning systems: monitoring systems, rainfall...

Nat. Hazards Earth Syst. Sci., 17, 2213-2227, 2017
https://doi.org/10.5194/nhess-17-2213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Dec 2017

Research article | 08 Dec 2017

Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides

Roberto Greco and Luca Pagano
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Cited articles
Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., and Thielen, J.: Operational early warning systems for water-related hazards in Europe, Environ. Sci. Policy, 21, 35–49, https://doi.org/10.1016/j.envsci.2012.01.008, 2012.
Alfieri, L. and Thielen, J.: A European precipitation index for extreme rain-storm and flash flood early warning, Meteorol. Appl., 22, 3–13, https://doi.org/10.1002/met.1328, 2015.
Arnone, E., Noto, L. V., Lepore, C., and Bras, R. L.: Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale, Geomorphology, 133, 121–131, https://doi.org/10.1016/j.geomorph.2011.03.019, 2011.
Bakkehoi, S.: Snow avalanche prediction using a probabilistic method, Avalanche Formation, Movement and Effects, Proceedings of the Davos Symposium, September 1986, IAHS Publ., 162, 1986.
Basher, R.: Global early warning systems for natural hazards: systematic and people centred, Philos. T. R. Soc. A, 364, 2167–2182, https://doi.org/10.1098/rsta.2006.1819, 2006.
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The paper focuses on the main features characterizing predictive models working in early warning systems (EWS), by discussing their aims, the evolution stage of the phenomenon where they should be incardinated, and their architecture, regardless of the specific application field. With reference to flow-like landslide and earth flows, some alternative approaches to the development of the predictive tool and to its implementation in an EWS are described.
The paper focuses on the main features characterizing predictive models working in early warning...
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