Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-416
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
05 Dec 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Temporal evolution of landslide hazard for a road infrastructure in the Municipality of Nocera Inferiore, Italy, under the effect of climate change
Marco Uzielli1,2, Guido Rianna3, Fabio Ciervo3, Paola Mercogliano3,4, and Unni K. Eidsvig2 1Georisk Engineering S.r.l., Firenze, 50132, Italy
2NGI (Norwegian Geotechnical Institute), Oslo, 0855, Norway
3CMCC Foundation (Centro Euro-Mediterraneo sui Cambiamenti Climatici), Capua, 81043, Italy
4CIRA (Centro Italiano Ricerc he Aerospaziali), Capua, 81043, Italy
Abstract. In recent years, landslide events have extensively affected pyroclastic covers of the Campania Region in southern Italy, causing victims and conspicuous economic damages. Due to the high criticality of the area, a proper assessment of future variations in landslide occurrences and related risk is crucial for policy-makers, administrators and infrastructure stakeholders. This paper addresses work performed within the FP7 INTACT project, having the goal to provide a risk framework for critical infrastructure while accounting for climate change. The study is a part of the testing and application of the framework in the Campania region, assessing the temporal variation in landslide hazard specifically for a section of the Autostrada A3 Salerno–Napoli motorway, which runs across the toe of the Monte Albino relief in the Municipality of Nocera Inferiore. In the study, hazard is defined as the yearly probability of a spatial location within a study area to be affected by landslide runout given the occurrence of rainfall-related triggering conditions. Hence, hazard depends both on the likelihood of rainfall-induced landslide triggering within the study area and the likelihood that the specific location will be affected following landslide runout. Landslide triggering probability is calculated through the application of Bayesian theory and relying on local historical rainfall data. Temporal variations in triggering probability due to climate change are estimated from present-day to the year 2100 through the characterization of rainfall patterns and related uncertainties using the EURO-CORDEX Ensemble. Reach probability, defining the probability that a given spatial location is affected by debris flows, is calculated spatially through numerical simulation of landslide runout. The temporal evolution of hazard is investigated specifically in the proximity of the motorway, as to provide a quantitative support for landslide risk analysis.

Citation: Uzielli, M., Rianna, G., Ciervo, F., Mercogliano, P., and Eidsvig, U. K.: Temporal evolution of landslide hazard for a road infrastructure in the Municipality of Nocera Inferiore, Italy, under the effect of climate change, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-416, in review, 2017.
Marco Uzielli et al.
Marco Uzielli et al.
Marco Uzielli et al.

Viewed

Total article views: 106 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
80 24 2 106 2 1

Views and downloads (calculated since 05 Dec 2017)

Cumulative views and downloads (calculated since 05 Dec 2017)

Viewed (geographical distribution)

Total article views: 106 (including HTML, PDF, and XML)

Thereof 101 with geography defined and 5 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 16 Dec 2017
Publications Copernicus
Download
Short summary
Landslide hazard at a given location may change over time due to climate change, since the frequency and intensity of landslide triggering factors such as rainfall can vary significantly. It is important for stakeholders and decision-makers to predict trends in landslide hazard to mitigate the risk of loss of lives and material assets. This study contributes an innovative method for the prediction of future variations of rainfall-induced landslides, and shows its application to an Italian site.
Landslide hazard at a given location may change over time due to climate change, since the...
Share