Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloGeographical landslide early warning systems
Anno di pubblicazione2019
FormatoElettronico
Autore/iFausto Guzzetti, Stefano Luigi Gariano, Silvia Peruccacci, Maria Teresa Brunetti, Ivan Marchesini, Mauro Rossi, Massimo Melillo
Affiliazioni autoriCNR IRPI
Autori CNR e affiliazioni
  • MAURO ROSSI
  • SILVIA PERUCCACCI
  • IVAN MARCHESINI
  • MARIA TERESA BRUNETTI
  • MASSIMO MELILLO
  • STEFANO LUIGI GARIANO
  • FAUSTO GUZZETTI
Lingua/e
  • inglese
AbstractThe design, implementation, management, and verification of landslide early warning systems (LEWSs) are gaining increasing attention in the literature and among government officials, decision makers, and the public. Based on a critical analysis of nine main assumptions that form the rationale for landslide forecasting and early warning, we examine 26 regional, national, and global LEWSs worldwide from 1977 to August 2019. We find that currently only five nations, 13 regions, and four metropolitan areas benefit from LEWSs, while many areas with numerous fatal landslides, where landslide risk to the population is high, lack LEWSs. Operational LEWSs use information from rain gauge networks, meteorological models, weather radars, and satellite estimates; and most systems use two sources of rainfall information. LEWSs use one or more types of landslide forecast models, including rainfall thresholds, distributed slope stability models, and soil water balance models; and most systems use landslide susceptibility zonations. Most LEWSs have undergone some form of verification, but there is no accepted standard to check the performance and forecasting skills of a LEWS. Based on our review, and our experience in the design, implementation, management, and verification of geographical LEWSs in Italy, we conclude that operational forecast of weather-induced landslides is feasible, and it can help reduce landslide risk. We propose 30 recommendations to further develop and improve geographical LEWSs, and to increase their reliability and credibility. We encourage landslide forecasters and LEWSs managers to propose open standards for geographical LEWSs, and we expect our work to contribute to this endeavour.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali29
RivistaEarth-science reviews
Attiva dal 1966
Editore: Elsevier - Oxford ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0012-8252
Titolo chiave: Earth-science reviews
Titolo proprio: Earth-science reviews.
Titolo abbreviato: Earth-sci. rev.
Numero volume della rivista200
Fascicolo della rivista-
DOI10.1016/j.earscirev.2019.102973
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85075070707)
  • ISI Web of Science (WOS) (Codice:WOS:000514749100013)
Parole chiaveLandslide, Landslide early warning system, Forecast, Threshold, model, Advisory
Link (URL, URI)https://doi.org/10.1016/j.earscirev.2019.102973
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD003.221.001 : LANDSLIP
Progetti Europei-
Allegati
Geographical landslide early warning systems (documento privato )
Descrizione: Geographical landslide early warning systems
Tipo documento: application/pdf