Area-scale landslide hazard and risk assessment

Romeo, Roberto; Floris, Mario; Veneri, Francesco

doi:10.1007/s00254-006-0415-x

Cited by 9 publications

(9 citation statements)

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“…Several qualitative criteria have been proposed in the literature to check for the possibility of domino events, whereas only a few pioneering studies have addressed the problem of the quantitative assessment of risk due to domino effects-usually in relation to earthquakes (e.g. Keefer 1984;Romeo et al 2006). …”

Section: Landslide Multi-hazard Assessmentmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

701

666

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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.

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Section: Landslide Multi-hazard Assessmentmentioning

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

“…The mountain hazards endanger public security and socio-economic development in many foreign countries as well. Therefore, studies on triggering mechanism, forecasting technology and hazard degree assessment are of great significance for developing the defense program of mountain disasters (Eldeen 1980;Alexander 1991;Gao et al 2003;Varnes 1984;Romeo et al 2006;Esnard et al 2011;Hadmoko et al 2011). The so-called hazard degree here may refer to rank of the risk of hazard, which is higher when the hazard degree is larger.…”

Section: Introductionmentioning

confidence: 97%

“…Some scientists have already begun to classify hazard degree of debris flow and landslide, many strategies for the assessment of the hazard degree related to debris flows and landslides have been proposed, analyzed and applied during the last 20 years (Alexander 1991;Varnes 1984;Carrara et al 1999;Romeo et al 2006). In particular, Chinese scholars have also devoted their work to landslide hazard degree assessment (Gao et al 2003;Huang 1998;Fan et al 2004;Jin et al 2008;Qiao 1991;Qiao et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Hazard degree assessment of landslide using set pair analysis method

Wang

2011

Nat Hazards

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It is a critical issue to assess landslide hazard degree in the risk analysis of mountain geo-hazards. Currently, different kinds of approaches to assess landslide hazard degree are developed and utilized from single quantitative analysis to integrated quantitative analysis. However, several problems of these approaches impede further applications. These problems include (1) the methods are complex and mathematic background is required sometimes; (2) the methods are hard to utilize. This study comes up with a new approach to assess landslide hazard degree: a set pair analysis method (SPAM). The SPAM takes the fuzzy property of grade standards into full account and avoids the values of discrepancy uncertainty coefficient in connection degree formula. A case study is presented to assess the landslide hazard degree of 24 typical landslides in Fengjie County, Chongqing City, where the Three Gorges Dam is located. The proposed method is simple in concept and easy in calculation and application. Its results are credible.

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“…Landslide hazard evaluation methods can be classified under two main headings: (1) techniques based on landslide inventory and (2) applications based on the responsible triggering factor. The methods based on landslide inventory could be divided into different subclasses according to the model applied, such as the binomial model (Coe et al 2000;Catani et al 2005), Poisson model (Crovelli 2000;Coe et al 2000;Guzzetti et al 2005;Romeo et al 2006) and frequency analyses (Cardinali et al 2002;Corominas et al 2003;Chau et al 2004;Corominas et al 2005;Lateltin et al 2005;Remondo et al 2005;Jaiswal et al 2010). The approach proposed by Chung and Fabbri (2005) might also be classified with the first group, the landslide inventory-based techniques.…”

Section: Introductionmentioning

confidence: 99%

Medium-scale hazard mapping for shallow landslide initiation: the Buyukkoy catchment area (Cayeli, Rize, Turkey)

et al. 2011

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The main purpose of this study is to develop a new hazard evaluation technique considering the current limitations, particularly for shallow landslides. For this purpose, the Buyukkoy catchment area, located in the East Black Sea Region in the east of Rize province and the south of Cayeli district, was selected as the study area. The investigations were executed in four different stages. These were (1) preparation of a temporal shallow landslide inventory of the study area, (2) assessment of conditioning factors in the catchment, (3) susceptibility analyses and (4) hazard evaluations and mapping. A total of 251 shallow landslides in the period of 1955-2007 were recognised using different data sources. A 'Sampling Circle' approach was proposed to define shallow landslide initiation in the mapping units in susceptibility evaluations. To accomplish the susceptibility analyses, the method of artificial neural networks was implemented. According to the performance analyses conducted using the training and testing datasets, the prediction and generalisation capacities of the models were found to be very high. To transform the susceptibility values into hazard rates, a new approach with a new equation was developed, taking into account the behaviour of the responsible triggering factor over time in the study area. In the proposed equation, the threshold value of the triggering factor and the recurrence interval are the independent variables. This unique property of the suggested equation allows the execution of more flexible and more dynamic hazard assessments. Finally, using the proposed technique, shallow landslide initiation hazard maps of the Buyukkoy catchment area for the return periods of 1, 2, 5, 10, 50 and 100years were produced.

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Area-scale landslide hazard and risk assessment

Cited by 9 publications

References 0 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

Hazard degree assessment of landslide using set pair analysis method

Medium-scale hazard mapping for shallow landslide initiation: the Buyukkoy catchment area (Cayeli, Rize, Turkey)

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