Building physically-based models for assessing rainfall-induced shallow landslide hazard at the catchment scale: the case study of the Sorrento Peninsula (Italy)
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 12 - Engineering
- Output identifier
- 101600553
- Type
- D - Journal article
- DOI
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10.1139/cgj-2017-0611
- Title of journal
- Canadian Geotechnical Journal
- Article number
- -
- First page
- 1291
- Volume
- 56
- Issue
- 9
- ISSN
- 0008-3674
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
http://dx.doi.org/10.1139/cgj-2017-0611
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In areas at high-risk of landslide there is a need to develop early-warning strategies and quantify hazard. Physically-based models (PBM) represent a reliable tool but are usually established a priori and are often either too complex or simple. Funded by a MCSA Fellowship and Geo-Observation (a UK based company), this research developed an approach using geological and geotechnical investigations of historic landslide events, with an adjustable complexity level for each landslide study. A collaboration is ongoing with local communes (Gragnano, Corbara) and researchers (University of Naples Federico II) to update existing early-warning systems in the Campania region of Italy.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
