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  • CiteScore value: 1.02 CiteScore 1.02
  • SNIP value: 0.614 SNIP 0.614
  • SJR value: 0.435 SJR 0.435
  • IPP value: 0.97 IPP 0.97
  • h5-index value: 11 h5-index 11
  • Scimago H index value: 32 Scimago H index 32
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
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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Short summary
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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