A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in perialpine Slovenia

Komac, Marko

doi:10.1016/j.geomorph.2005.07.005

Cited by 378 publications

(186 citation statements)

References 6 publications

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“…The AHP has been extensively applied on decision-making problems (Saaty and Vargas 2001), and only recently, some research has been carried out to apply AHP to landslide susceptibility assessment. Komac (2006) made multivariate statistical processing to obtain several landslide susceptibility models with data at 1:50,000 and 1:100,000 scales. Based on the statistical results, several landslide susceptibility models were developed using the AHP method.…”

Section: National Landslide Risk Assessment Model Design Issues and Omentioning

confidence: 99%

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Abella

Westen²

2007

Landslides

180

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This paper explains the procedure for the generation of a landslide risk index map at national level in Cuba, using a semiquantitative model with ten indicator maps and a cell size of 90× 90 m. The model was designed and implemented using spatial multi-criteria evaluation techniques in a GIS system. Each indicator was processed, analysed and standardised according to its contribution to hazard and vulnerability. The indicators were weighted using direct, pairwise comparison and rank-ordering weighting methods, and weights were combined to obtain the final landslide risk index map. The results were analysed per physiographic region and administrative units at provincial and municipal levels. The Sierra Maestra mountain system was found to have the largest concentration of high landslide risk index values while the Nipe-Cristal-Baracoa system has the highest absolute values, although they are more dispersed. The results obtained allow designing an appropriated landslide risk mitigation plan at national level and to link the information to the national hurricane early warning system, allowing also warning and evacuation for landslide-prone areas.

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Section: National Landslide Risk Assessment Model Design Issues and Omentioning

confidence: 99%

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Abella

Westen²

2007

Landslides

180

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“…Despite this importance, there has been little research into methods of weighting and standardization of indicators for disaster risk analysis so far. Castellanos Abella and van Westen (2007) applied multi-criteria evaluation techniques, while Komac (2006) and Yoshimatsu and Abe (2006) applied analytical hierarchical process methods, yet restricted to landslide susceptibility. The process of weighting vulnerability indicators involves the political and societal level and thus goes beyond scientific responsibility and thus should be undertaken in discussion with public authorities.…”

Section: Methodsmentioning

confidence: 99%

A risk analysis for floods and lahars: case study in the Cordillera Central of Colombia

Künzler

Huggel

Ramı́rez³

2012

Nat Hazards

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The glacier-covered Nevado del Tolima in the Colombian Cordillera Central is an active volcano with potential lahars that might be more hazardous than those on Nevado del Ruiz. Furthermore, rainfalltriggered floods and landslides notoriously and severely affect the region. For effective disaster prevention, a risk analysis is of primary importance. We present here a risk analysis methodology that is based on the assessment of lahar and rainfall-related flood hazard scenarios and different aspects of vulnerability. The methodology is applied for populated centres in the Combeima valley and the regional capital Ibagué (*500,000 inhabitants). Lahar scenarios of 0.5, 1, 5, and 15 million m3 volume are based on melting of 1, 2, 10, and 25 % of ice, firn and snow, respectively, due to volcanic activity and subsequent lahar formation. For flood modelling, design floods with a return period of 10 and 100 years were calculated. Vulnerability is assessed considering physical vulnerability, operationalized by market values of dwelling parcels and population density, whereas social vulnerability is expressed by the age structure of the population and poverty. Standardization of hazard and vulnerability allows for the integration into a risk equation, resulting in five-level risk maps, with additional quantitative estimate of damage. The probability of occurrence of lahars is low, but impacts would be disastrous, with about 20,000 people and more directly exposed to it. Floods are much more recurrent, but affected areas are generally smaller. High-risk zones in Ibaguéare found in urban areas close to the main river with high social vulnerability. The methodology has proven to be a suitable tool to provide a first overview of spatial distribution of risk which is considered by local and regional authorities for disaster risk reduction. The harmonization of technical-engineering risk analysis and approaches from social sciences into common reference concepts should be further developed. Abstract The glacier-covered Nevado del Tolima in the Colombian Cordillera Central is an active volcano with potential lahars that might be more hazardous than those on Nevado del Ruiz. Furthermore, rainfall-triggered floods and landslides notoriously and severely affect the region. For effective disaster prevention, a risk analysis is of primary importance. We present here a risk analysis methodology that is based on the assessment of lahar and rainfall-related flood hazard scenarios and different aspects of vulnerability. The methodology is applied for populated centres in the Combeima valley and the regional capital Ibagué (*500,000 inhabitants). Lahar scenarios of 0.5, 1, 5, and 15 million m 3 volume are based on melting of 1, 2, 10, and 25 % of ice, firn and snow, respectively, due to volcanic activity and subsequent lahar formation. For flood modelling, design floods with a return period of 10 and 100 years were calculated. Vulnerability is assessed considering physical vulnerability, operationalized by market values of dwellin...

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“…Among these units, except for a less number of authors who make use of slope units (Carrara et al, 1991(Carrara et al, , 1995Komac, 2006;Rossi et al, 2010) and homogeneous land units (Can et al, 2005;Falaschi et al, 2009), cells matrix is the most widely used land unit by the authors considered (Bernknopf et al, 1988;Gorsevski et al, 2000;Dai and Lee, 2002;Ohlmacher and Davis, 2003;Dai et al, 2004;Ayalew and Yamagishi, 2005;Chau and Chan, 2005;Yesilnacar and Topal, 2005;Van Den Eeckhaut et al, 2006;Greco et al, 2007;Chen and Wang, 2007;Garcia-Rodriguez et al, 2008;Nefeslioglu et al, 2008;Mathew et al, 2009;Sorriso-Valvo et al, 2009;Nandi and Shakoor, 2009;Chauhan et al, 2010;Erener et al, 2010;Yalcin et al, 2011;Choi et al, 2012). Authors almost homogeneously perform the fitting and weight assessment steps for independent variables and for the variables of analysis application (assessment of P (y)).…”

Section: R Greco and M Sorriso-valvo: Influence Of Management Of Vamentioning

confidence: 99%

Influence of management of variables, sampling zones and land units on LR analysis for landslide spatial prevision

Greco

Sorriso‐Valvo

2013

Nat. Hazards Earth Syst. Sci.

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Several authors, according to different methodological approaches, have employed logistic Regression (LR), a multivariate statistical analysis adopted to assess the spatial probability of landslide, even though its fundamental principles have remained unaltered.

This study aims at assessing the influence of some of these methodological approaches on the performance of LR, through a series of sensitivity analyses developed over a test area of about 300 km² in Calabria (southern Italy).

In particular, four types of sampling (1 – the whole study area; 2 – transects running parallel to the general slope direction of the study area with a total surface of about 1/3 of the whole study area; 3 – buffers surrounding the phenomena with a 1/1 ratio between the stable and the unstable area; 4 – buffers surrounding the phenomena with a 1/2 ratio between the stable and the unstable area), two variable coding modes (1 – grouped variables; 2 – binary variables), and two types of elementary land (1 – cells units; 2 – slope units) units have been tested. The obtained results must be considered as statistically relevant in all cases (Aroc values > 70%), thus confirming the soundness of the LR analysis which maintains high predictive capacities notwithstanding the features of input data.

As for the area under investigation, the best performing methodological choices are the following: (i) transects produced the best results (0 < P(y) ≤ 93.4%; Aroc = 79.5%); (ii) as for sampling modalities, binary variables (0 < P(y) ≤ 98.3%; Aroc = 80.7%) provide better performance than ordinated variables; (iii) as for the choice of elementary land units, slope units (0 < P(y) ≤ 100%; Aroc = 84.2%) have obtained better results than cells matrix

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A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in perialpine Slovenia

Cited by 378 publications

References 6 publications

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

A risk analysis for floods and lahars: case study in the Cordillera Central of Colombia

Influence of management of variables, sampling zones and land units on LR analysis for landslide spatial prevision

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