Assessment of Global High-Risk Landslide Disaster Hotspots

Nadim, Farrokh; Kjekstad, Oddvar

doi:10.1007/978-3-540-69970-5_11

Cited by 18 publications

(10 citation statements)

References 3 publications

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“…• The guidelines developed by the Australian Geomechanics Society (AGS 2000(AGS , 2007, • The analysis of questions related to the scale of work (Cascini et al 2005;Cascini 2008), • The approaches adopted and the development trends in risk analysis practice from site-specific (Wong 2005) to the global (Nadim et al 2006;Nadim and Kjeksta 2009;Hong et al 2007) scale, and • The JTC-1 Guidelines (Fell et al 2008a). …”

Section: Landslide Zoning At Different Scalesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

710

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 Zoning At Different Scalesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

710

666

View full text Add to dashboard Cite

show abstract

“…The increase in population and resulting demand for resources has given rise to a continuous pressure to settle in places were the interaction between humans and continuous land processes becomes a potential risk (Nadim and Kjekstad, 2009). For this reason, it is essential to analyze the possible damage that the hazard process can yield in the affected sectors.…”

Section: Introductionmentioning

confidence: 99%

The application of numerical debris flow modelling for the generation of physical vulnerability curves

Luna

Blahůt

Westen

et al. 2011

Nat. Hazards Earth Syst. Sci.

201

105

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Abstract. For a quantitative assessment of debris flow risk, it is essential to consider not only the hazardous process itself but also to perform an analysis of its consequences. This should include the estimation of the expected monetary losses as the product of the hazard with a given magnitude and the vulnerability of the elements exposed. A quantifiable integrated approach of both hazard and vulnerability is becoming a required practice in risk reduction management. This study aims at developing physical vulnerability curves for debris flows through the use of a dynamic run-out model. Dynamic run-out models for debris flows are able to calculate physical outputs (extension, depths, velocities, impact pressures) and to determine the zones where the elements at risk could suffer an impact. These results can then be applied to consequence analyses and risk calculations. On 13 July 2008, after more than two days of intense rainfall, several debris and mud flows were released in the central part of the Valtellina Valley (Lombardy Region, Northern Italy). One of the largest debris flows events occurred in a village called Selvetta. The debris flow event was reconstructed after extensive field work and interviews with local inhabitants and civil protection teams. The Selvetta event was modelled with the FLO-2D program, an Eulerian formulation with a finite differences numerical scheme that requires the specification of an input hydrograph. The internal stresses are isotropic and the basal shear stresses are calculated using a quadratic model. The behaviour and run-out of the flow was reconstructed. The significance of calculated values of the flow depth, velocity, and pressure were investigated in terms Correspondence to: B. Quan Luna (quanluna@itc.nl) of the resulting damage to the affected buildings. The physical damage was quantified for each affected structure within the context of physical vulnerability, which was calculated as the ratio between the monetary loss and the reconstruction value. Three different empirical vulnerability curves were obtained, which are functions of debris flow depth, impact pressure, and kinematic viscosity, respectively. A quantitative approach to estimate the vulnerability of an exposed element to a debris flow which can be independent of the temporal occurrence of the hazard event is presented.

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“…Based on previous findings on natural disaster risk (Catani et al, 2005;Nadim and Kjekstad, 2009;Carey et al, 2012), GLOF disaster risk can be defined as a combination of the likelihood of a major outburst event occurring (i.e. hazard), exposure to an outburst event, vulnerability (i.e.…”

Section: Establishment Of Glof Disaster Risk Assessment Systemmentioning

confidence: 99%

Glacial lake change risk and management on the Chinese Nyainqentanglha in the past 40 years

Wang

2016

Preprint

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Abstract. The paper analyzed synthetically spatial distribution and evolution status of moraine-dammed lakes in the Nyainqentanglha Mountain, revealed risk degree of county-based potential dangerous glacial lakes (PDGLs) outburst floods disaster by combining PDGLs outburst hazard, regional exposure, vulnerability of exposed elements and adaptation capability and using the Analytic Hierarchy Process and Weighted Comprehensive Method. The results indicate that 132 moraine-dammed lakes (> 0.02 km2) with a total area of 38.235 km2 were detected in the Nyainqentanglha in the 2010s, the lake number decreased only by 5 %, whereas total lake area expanded by 22.72 %, in which 54 lakes with a total area of 17.53 km2 are identified as PDGLs and total area increased by 144.31 %, higher significantly than 4.06 % of non-PDGLs. The zones at very high and high integrated risk of glacial lakes outburst floods (GLOFs) disaster are concentrated in the eastern Nyainqentanglha, whereas low and very low integrated risk zones are located mainly in the western Nyainqentanglha. On the county scale, Nagque and Nyingchi have the lowest hazard risk, Banbar has the highest hazard and vulnerability risk, Sog and Lhorong have the highest exposure risk. In contrast, Biru and Jiali have the highest vulnerability risk, while Gongbo'gyamda and Damxung have lowest adaptation capacity. The regionalization results for GLOF disaster risk in the study are consistent with the distribution of historical disaster sites across the Nyainqentanglha.

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Assessment of Global High-Risk Landslide Disaster Hotspots

Cited by 18 publications

References 3 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

The application of numerical debris flow modelling for the generation of physical vulnerability curves

Glacial lake change risk and management on the Chinese Nyainqentanglha in the past 40 years

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