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Advances in Geosciences An open-access journal for refereed proceedings and special publications
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Volume 44 | Copyright
Adv. Geosci., 44, 79-88, 2017
https://doi.org/10.5194/adgeo-44-79-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 Sep 2017

07 Sep 2017

Flood and landslide warning based on rainfall thresholds and soil moisture indexes: the HEWS (Hydrohazards Early Warning System) for Sicily

Giuseppina Brigandì et al.
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Cited articles
Aleotti, P.: A warning system for rainfall-induced shallow failures, Eng. Geol., 73, 247–265, 2004.
Amadio, P., Mancini, M., Menduni, G., and Ravazzani, G.: Analisi di affidabilità del sistema di preallerta di piena in tempo reale MIMI per il bacino del fiume Arno, Proc. of 29th Convegno di Idraulica e Costruzioni Idrauliche, Trento, Italy, 2004.
Aronica, G. T. and Candela, A.: Derivation of flood frequency curves in poorly gauged Mediterranean catchments using a simple stochastic hydrological rainfall–runoff model, J. Hydrol., 347, 132–142, 2007.
Aronica, G. T., Brigandì, G., and Morey, N.: Flash floods and debris flow in the city area of Messina, north-east part of Sicily, Italy in October 2009: the case of the Giampilieri catchment, Nat. Hazards Earth Syst. Sci., 12, 1295–1309, https://doi.org/10.5194/nhess-12-1295-2012, 2012.
Berni, N., Pandolfo, C., Stelluti, M., Ponziani, F., and Viterbo, A.: Operational flood forecasting system of Umbria Region Functional Centre – Italy, Geophys. Res. Abstr., EGU2009-9760, 2009.
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The paper presents the flood and landslide early warning system HEWS developed by the University of Messina for the Integrated Multi-Risk Decentralised Functional Centre of Sicily (Italy). HEWS implements a methodology based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF) to issue alert bulletins both for floods and landslide. The software Delft-FEWS has been adopted as operation platform to support the implementation of HEWS.
The paper presents the flood and landslide early warning system HEWS developed by the University...
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