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Quantile-based individual risk measures for rockfall-prone areas
- Source :
- International Journal of Disaster Risk Reduction, International Journal of Disaster Risk Reduction, Elsevier, 2021, 53, pp.101932. ⟨10.1016/j.ijdrr.2020.101932⟩, International Journal of Disaster Risk Reduction, 2021, 53, pp.101932. ⟨10.1016/j.ijdrr.2020.101932⟩
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- International audience; In mountain environments, precise rockfall risk evaluation is crucial to reduce death tolls and costs. However, to date, existing rockfall risk assessment procedures remain scarce, as they focus only on existing elements at risk and with the damage expectation as sole risk measure. Here, we propose an approach to evaluate the distribution of damages on an individual basis as a continuous function of space. Furthermore, rockfall risk is evaluated through (i) the damage expectation and based on (ii) the value-at-risk (VAR) and (iii) the expected shortfall (ES). VaR and ES risk measures allow better assessing the risk due to extreme events and accounting for various shortterm/long-term constraints faced by stakeholders. This procedure is applied to Le Brocey slope (municipality of Crolles, French Alps), frequently affected by rockfall events, illustrating its potential for land-use planning. Notably, obtained individual risk values can be confronted with acceptability thresholds to perform legal zoning on sound basis. Also, they allow comparison of risk management strategies as function of different behaviors towards risk, budgetary constraints and/or temporal horizons. Hence, the approach provides valuable tools for future land-use planning and decision-making. It could easily be transferred to other hazards as a wider contribution to the determination of the best balance between safety and sustainability.
- Subjects :
- 010504 meteorology & atmospheric sciences
Quantitative risk analysis
Computer science
0211 other engineering and technologies
02 engineering and technology
Expected shortfall
01 natural sciences
Rockfall
Value-at-risk
[SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques
Risk management
0105 earth and related environmental sciences
021110 strategic, defence & security studies
geography
geography.geographical_feature_category
business.industry
Individual risk
Risk measure
Geology
Building and Construction
Geotechnical Engineering and Engineering Geology
Risk analysis (engineering)
13. Climate action
[SDE]Environmental Sciences
Damages
Zoning
business
Risk assessment
Safety Research
Value at risk
Subjects
Details
- ISSN :
- 22124209
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- International Journal of Disaster Risk Reduction
- Accession number :
- edsair.doi.dedup.....18286f8b3feccbbad3a001b689927c7f
- Full Text :
- https://doi.org/10.1016/j.ijdrr.2020.101932