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NHESS | Articles | Volume 18, issue 11
Nat. Hazards Earth Syst. Sci., 18, 3019–3035, 2018
https://doi.org/10.5194/nhess-18-3019-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Landslide early warning systems: monitoring systems, rainfall...

Nat. Hazards Earth Syst. Sci., 18, 3019–3035, 2018
https://doi.org/10.5194/nhess-18-3019-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Nov 2018

Research article | 14 Nov 2018

Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change

Marco Uzielli et al.

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Berti, M., Martina, M. L. V., Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res., 117, F04006, https://doi.org/10.1029/2012JF002367, 2012. 
Beven, K. J.: EGU Leonardo Lecture: facets of hydrology – epistemic error, non- stationarity, likelihood, hypothesis testing, and communication, Hydrolog. Sci. J., 61, 1652–1665, https://doi.org/10.1080/02626667.2015.1031761, 2015. 
Beven, K. J., Aspinall, W. P., Bates, P. D., Borgomeo, E., Goda, K., Hall, J. W., Page, T., Phillips, J. C., Simpson, M., Smith, P. J., Wagener, T., and Watson, M.: Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice?, Nat. Hazards Earth Syst. Sci., 18, 2769–2783, https://doi.org/10.5194/nhess-18-2769-2018, 2018. 
Cascini, L., Cuomo, S., and Guida, D.: Typical source areas of May 1998 flow-like mass movements in the Campania region, Southern Italy, Eng. Geol., 96, 107–125, 2008. 
Chancel, L. and Piketty, T.: Carbon and inequality: from Kyoto to Paris. Trends in the global inequality of carbon emissions (1998–2013) & prospects for an equitable adaptation fund, Iddri & Paris School of Economics Report, 2015. 
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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 losing 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...
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