Benedetti, A.

Catani, Filippo

Ciminelli, M.

Falorni, G.

Giannoni, F.

Leoni, Lorenzo

Pellegrino, D.

Rudari, R.

English

Florence Research

Geophysical Research Abstracts, Vol. 9, 09431, 2007SRef-ID: 1607-7962/gra/EGU2007-A-09431© European Geosciences Union 2007PREVIEW Service 2: forecasting shallow rapidlandslidesG. Falorni (1), L. Leoni (1), A. Benedetti (1), F. Catani (1), R. Rudari (2), D.Pellegrino (3), M. Ciminelli (3), F. Giannoni (4)(1) Earth Sciences Dept. – University of Firenze, Italy (gfalorni@geo.unifi.it), (2) CIMA,Università di Genova e della Basilicata, Via Cadorna 7, Savona, Italy, (3) Telespazio Spa., viaCannizzaro 71, 00100, Roma, Italy, (4) ARPAL CFMI-PC, Viale Brigate Liguria 2, 16100Genova, ItalyPREVIEW (Prevention, Information and Early Warning, pre-operational services tosupport the management of risks) is an European Commission FP6 Integrated Projectwith the aim of developing, at a European level, innovative geo-information servicesfor atmospheric, geophysical and man made risks. Within this framework, Service2 (Prediction of shallow rapid slope movements) of the Landslides Platform has theobjective of developing an integrated procedure for the forecasting and warning ofdistributed shallow landsliding to be used for civil protection purposes. The servicewill blend advanced techniques from different fields and involving different tools:meteorology, hydrology, geologic modelling, remote sensing and GIS.The service is being developed in a pilot test site in Italy, the Armea river basin, locatedin the Province of Imperia, Liguria, in NE Italy. Two field campaigns have been carriedout for collecting data for the development and calibration of the models that will beapplied within the service.The topographic base that will be used for the modelling is a DEM with a cell sizeof 5 m specifically created for this purpose by digitizing a large scale contour map. Adistinctive feature of the service being developed is the use of an innovated soil depthmodel for predicting the distributed thickness of the soil (depth-to-bedrock) within thebasin, one of the most important parameters controlling shallow landslide triggering.Data from a probabilistic downscaled short term rainfall forecast will be used to esti-mate soil saturation and meteorological radar outputs will be employed to determineoverall system evolution in the very short term (less than 6 hours lead time). The finalstep regards the use of hydrogeological modelling to calculate the distributed factor ofsafety on a pixel-by-pixel basis. The infinite slope model is used for this purpose. Val-idation of the service will make use of two rainfall events: one that occurred in 2000,which triggered numerous superficial landslides but for which the rainfall data is lesswell-known and a smaller, more recent event (2006) that caused fewer landslides butfor which more information is available, including a high-resolution optical satelliteimage.Once fully developed the entire service will run within a WebGIS system so that end-users involved in PREVIEW can interactively access and download data. Currently,the end-users interested in the development of the service in the Armea basin are theItalian Department of Civil Protection and the Agency for Environmental Protectionof the Liguria Region (ARPAL).

PREVIEW Service 2: forecasting shallow rapid landslides

https://flore.unifi.it/bitstream/2158/384472/1/Falorini%20et%20al%20GRA%20vol%209%20EGU%202007.pdf

PREVIEW Service 2: forecasting shallow rapid landslides

Abstract

Similar works

Full text

Available Versions

Florence Research