A real-world application of Monte Carlo procedure for debris flow risk assessment

Calvo, Bernardo Aguilar; Savi, F.

doi:10.1016/j.cageo.2008.04.002

Cited by 62 publications

(47 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The intensity parameter that should be chosen depends on the typology of the landslides and the nature of the element at risk. For instance, kinetic energy is the most frequently used parameter for rockfalls Agliardi et al 2009b), whereas peak discharge (Jakob 2005), velocity (Hungr 1997;Bovolin and Taglialatela 2002;Calvo and Savi 2009), depth (Borter 1999;Fuchs et al 2007), and velocity squared multiplied by depth ) are used for debris flows. For large slides and earthflows, the displacement or the displacement rate (Saygili and Rathje 2009;Mansour et al 2011) can be suitable parameters.…”

Section: Landslide Intensity-frequency Relationmentioning

confidence: 99%

“…A simple statistic of the distribution is normally used to characterise this distribution, such as the arithmetic average (Agliardi et al 2009b) or the maximum value (Gentile et al 2008;Calvo and Savi 2009), and the intensity-frequency curves are derived using this value of intensity and the frequency derived from M-F relationships.…”

Section: Landslide Intensity-frequency Relationmentioning

confidence: 99%

See 1 more Smart Citation

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

701

666

View full text Add to dashboard Cite

This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation of the elements at risk, the assessment of the potential degree of damage and the quantification of the vulnerability of the elements at risk, and those used to perform the quantitative risk analysis are also described. The paper is intended for use by scientists and practising engineers, geologists and other landslide experts.

show abstract

Section: Landslide Intensity-frequency Relationmentioning

confidence: 99%

Section: Landslide Intensity-frequency Relationmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

701

666

View full text Add to dashboard Cite

show abstract

“…A study by Calvo and Savi (2009) developed a debris flow risk assessment tool using probabilistic methods based on debris flow hazards in the Italian Alps. This approach used a Monte Carlo procedure to randomly select input variables of mathematical models that simulate the triggering, propagation and stoppage of debris flows, resulting in a probability density function quantifying the destructive potential of a given event.…”

Section: Probabilistic Methodsmentioning

confidence: 99%

A probabilistic approach to post-wildfire debris-flow volume modeling

Donovan

Santi

2017

Landslides

View full text Add to dashboard Cite

As populations continue to move into more mountainous terrain, a greater understanding of the processes controlling debris flows has become important for the protection of human life and property. The potential volume of an expected debris flow must be known to effectively mitigate any hazard it may pose, yet an accurate estimate of this parameter has to this point been difficult to model. To this end, a probabilistic method for the prediction of debris-flow volumes using a database of 33 debris flows in the Western United States is presented herein. A number of

show abstract

“…Finally, the models for earthquakes, such as the proposed models by Tseng and Chen [13], and Chen and Tseng [12]; the models for debris flow, such as the proposed models by Calvo and Savi [14], Chen et al [15], Archetti and Lamberti [16], and Liu et al [17] can usefully be incorporated into the CRISIS system.…”

Section: Tools Availablementioning

confidence: 99%

CRISIS: A System for Risk Management

Sánchez¹,

Acquesta

2012

Systems

View full text Add to dashboard Cite

Abstract:In a situation of an unexpected catastrophe, uncertainty and demand for information are constant. In such a disaster scenario, the CRISIS system arises as a tool to contribute to previous coordination, procedure validation, exercise execution, a good and frequent communication among organizations, and weakness and threat assessment for an appropriate risk management. It offers a wide variety of tools for online communication, consultation and collaboration that, up to this day, includes cartography, tasks, resources, news, forums, instant messaging and chat. As a complement, mathematical models for training and emergency management are being researched and developed. For Argentinean society, it is a necessity to switch from the current handcrafted, bureaucratic emergency management method to a decision-making management model. Previous coordination, exercise execution, a fluid communication among institutions, and threats and weaknesses assessment are required for a proper risk management. With that goal in mind, it is important to reduce confusion, avoid the duplication of efforts to fulfill the same tasks, and have access to a complete vision of the situation, generated from the data of all the organizations taking part. The CRISIS system is a secure web application, accessible to every node in a network formed by the organizations which have complementary responsibilities during prevention and response. It offers a wide variety of tools for online communication, consultation and collaboration that, up to this day, includes cartography, tasks, media (organization and resources), news, forums, instant messaging and chat. As a complement, mathematical models for training and emergency management are being researched and developed. Currently, there are toxicological and epidemiological emergency models available. The present paper analyses, from the perspectives related to OPEN ACCESS Systems 2013, 1 4 risk management for emergencies and disasters, the strengths and weaknesses of the CRISIS system to be used for prevention, response and recoveries in the case of a catastrophe.

show abstract

A real-world application of Monte Carlo procedure for debris flow risk assessment

Cited by 62 publications

References 20 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

A probabilistic approach to post-wildfire debris-flow volume modeling

CRISIS: A System for Risk Management

Contact Info

Product

Resources

About