Although shallow landslides are a very widespread phenomenon, large area (e.g. thousands of square kilometres) early warning systems are commonly based on statistical rainfall thresholds, while physically based models are more commonly applied to smaller areas. This work provides a contribution towards the filling of this gap: a forecasting chain is designed assembling a numerical weather prediction model, a statistical rainfall downscaling tool and a geotechnical model for the distributed calculation of the factor of safety on a pixel-by-pixel basis. The forecasting chain can be used to forecast the triggering of shallow landslides with a 48 h lead time and was tested on a 3200 km2 wide area.

Brief communication "A prototype forecasting chain for rainfall induced shallow landslides" / Mercogliano P.; Segoni S.; Rossi G.; Sikorsky B.; Tofani V.; Schiano P.; Catani F.; Casagli N.. - In: NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. - ISSN 1561-8633. - STAMPA. - 13(3):(2013), pp. 771-777. [10.5194/nhess-13-771-2013]

Brief communication "A prototype forecasting chain for rainfall induced shallow landslides"

SEGONI, SAMUELE;ROSSI, GUGLIELMO;TOFANI, VERONICA;CATANI, FILIPPO;CASAGLI, NICOLA
2013

Abstract

Although shallow landslides are a very widespread phenomenon, large area (e.g. thousands of square kilometres) early warning systems are commonly based on statistical rainfall thresholds, while physically based models are more commonly applied to smaller areas. This work provides a contribution towards the filling of this gap: a forecasting chain is designed assembling a numerical weather prediction model, a statistical rainfall downscaling tool and a geotechnical model for the distributed calculation of the factor of safety on a pixel-by-pixel basis. The forecasting chain can be used to forecast the triggering of shallow landslides with a 48 h lead time and was tested on a 3200 km2 wide area.
2013
13(3)
771
777
Mercogliano P.; Segoni S.; Rossi G.; Sikorsky B.; Tofani V.; Schiano P.; Catani F.; Casagli N.
File in questo prodotto:
File Dimensione Formato  
Mercogliano et al NHESS 2013.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 1.13 MB
Formato Adobe PDF
1.13 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/820271
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 44
  • ???jsp.display-item.citation.isi??? 46
social impact