Landslide hazard and risk assessment: a case study from the Hlohovec–Sered’ landslide area in south-west Slovakia

Bednařík, Martin; Yilmaz, Işık; Marschalko, Marián

doi:10.1007/s11069-012-0257-7

Cited by 65 publications

(33 citation statements)

References 20 publications

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“…Therefore, the entropy value can be used to calculate objective weights of the index system. The equations used to calculate the information coefficient W j representing the weight value for the parameter as a whole (Bednarik et al 2010(Bednarik et al , 2012Constantin et al 2011) are the following:…”

Section: Landslide Susceptibility Mapping (Lsm)mentioning

confidence: 99%

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

Jaafari

Najafi

Pourghasemi

et al. 2014

Int. J. Environ. Sci. Technol.

337

137

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This study presents a landslide susceptibility assessment for the Caspian forest using frequency ratio and index of entropy models within geographical information system. First, the landslide locations were identified in the study area from interpretation of aerial photographs and multiple field surveys. 72 cases (70 %) out of 103 detected landslides were randomly selected for modeling, and the remaining 31 (30 %) cases were used for the model validation. The landslide-conditioning factors, including slope degree, slope aspect, altitude, lithology, rainfall, distance to faults, distance to streams, plan curvature, topographic wetness index, stream power index, sediment transport index, normalized difference vegetation index (NDVI), forest plant community, crown density, and timber volume, were extracted from the spatial database. Using these factors, landslide susceptibility and weights of each factor were analyzed by frequency ratio and index of entropy models. Results showed that the high and very high susceptibility classes cover nearly 50 % of the study area. For verification, the receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The verification results revealed that the index of entropy model (AUC = 75.59 %) is slightly better in prediction than frequency ratio model (AUC = 72.68 %). The interpretation of the susceptibility map indicated that NDVI, altitude, and rainfall play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps produced from this study could assist planners and engineers for reorganizing and planning of future road construction and timber harvesting operations.

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Section: Landslide Susceptibility Mapping (Lsm)mentioning

confidence: 99%

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

Jaafari

Najafi

Pourghasemi

et al. 2014

Int. J. Environ. Sci. Technol.

337

137

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“…The pa ram e ters were sub di vided into classes (e.g., a rock type or slope in cli na tion class). The method ap plied for the spa tial analy sis and de vis ing the land slide sus cep ti bil ity map for the study area was the en tropy in dex method (van Westen, 2004;Constantin et al, 2011;Bednarik et al, 2012;Pourghasemi et al, 2012). All lists, cal cu la tions and anal y ses in cluded in the study were per formed us ing ILWIS 3.7.2.…”

Section: Methodsmentioning

confidence: 99%

“…The in dex of en tropy was ap plied for sev eral stud ies in the Carpathians (Bednarik et al, 2009(Bednarik et al, , 2012Constantin et al, 2011) and the suc cess of this meth od ol ogy var ies. In or der to ver ify the ac cu racy of the model, the new land slide sus cep ti bil ity map was com pared to 221 land slides.…”

Section: Fac Tor Classmentioning

confidence: 99%

“…The cur rent study is an at tempt for con struct ing a map of land slide sus cep ti bil ity, ap ply ing the sta tis ti cal en tropy in dex method that was used in mass move ment as sess ments in other parts of the Carpathian Mts. (Vlcko et al, 1980;Jurko et al, 2006;Bednarik and Liscak, 2010;Constantin et al, 2011;Bednarik et al, 2012). This was the pi o neer ing use of the method in land slide sus cep ti bil ity map ping in the Beskidy Mts.…”

Section: Introductionmentioning

confidence: 98%

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Landslide susceptibility mapping in the Beskid Niski Mts., Western Carpathians (Dukla commune, Poland)

Bronowski

Chybiorz

Jura

2016

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. Land slide sus cep ti bil ity map ping in the Beskid Niski Mts., West ern Carpathians (Dukla com mune, Po land). Geo log i cal Quar terly, 60 (3): 586-596, doi: 10.7306/gq.1275 Land slides are one of the most prom i nent pro cesses de grad ing the Beskidy Mts. slopes. Sus cep ti bil ity as sess ment is based on the de tailed map ping of the Dukla com mune (235 km 2 ) at the scale 1:10,000 in frames of the pro ject Land slide Coun teract ing Sys tem. The ter rain af fected by land slides is 19.59 km 2 , which is 8.34% of the re searched area. The larg est num ber of land slides can be found in the Beskid Dukielski Mts. area, where nearly 78% of all land slide ar eas are con cen trated. Anal y sis of land slide-caus ing fac tors was per formed us ing the in dex of en tropy method. The fol low ing five fac tors were con sid ered: lithol ogy, slope in cli na tion, slope as pect, dis tance to faults, and dis tance to drain age. The most im por tant role in the de vel opment of mass move ments in the study area is played by slope in cli na tion (0.0079) and li thol ogy of siliciclastic flysch (0.0066). The method ap plied also con trib uted to de vis ing a land slide sus cep ti bil ity map of con sid er able ac cu racy at 90.5%. The analy ses of the land slide fac tors have proven that un der stand ing of ge ol ogy and land forms is not only of cog ni tive sig nif i cance, but adds to prac ti cal ap pli ca tions in spa tial man age ment. The stud ies con firmed use ful ness of large-scale map ping of landslides and ap ply ing sta tis ti cal meth ods and GIS tech niques in the spa tial anal y sis of landform trans for ma tions. The ob tained land slide sus cep ti bil ity map can be a ba sis for as sess ing land slide risk. High and very high land slide sus cep ti bil ity classes cover nearly 50% of the study area.

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“…Moreover, rainfall-induced shallow landslides affecting deposits of small thickness are common phenomena all over the world. Important events have been recorded in many regions of Italy [2][3][4], in the Czech Republic [5], Switzerland [6], Slovakia [7], Turkey [8], India [9], Malaysia [10], Hong Kong [11], and the USA [12,13]. Intense rains brought by Typhoon Morakot of 2009 caused multiple landslides in Southern Taiwan, which were accompanied by debris flows that directly or indirectly led to the destruction of Xiaolin Village in Jiasian District in the catchment of the Gaoping River.…”

Section: Introductionmentioning

confidence: 99%

Warning Model for Shallow Landslides Induced by Extreme Rainfall

Chien

Hsu

Yin

2015

Water

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Abstract:In this study, the geophysical properties of the landslide-prone catchment of the Gaoping River in Taiwan were investigated using zones based on landslide history in conjunction with landslide analysis using a deterministic approach based on the TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope-Stability) model. Typhoon Morakot in 2009 was selected as a simulation scenario to calibrate the combination of geophysical parameters in each zone before analyzing changes in the factor of safety (FS). Considering the amount of response time required for typhoons, suitable FS thresholds for landslide warnings are proposed for each town in the catchment area. Typhoon Fanapi of 2010 was used as a test scenario to verify the applicability of the FS as well as the efficacy of the cumulative rainfall thresholds derived in this study. Finally, the amount of response time provided by the FS thresholds in cases of yellow and red alerts was determined. All five of the landslide events reported by the Soil and Water Conservation Bureau were listed among the unstable sites identified in the proposed model, thereby demonstrating its effectiveness and accuracy in determining unstable areas and areas that require evacuation. These cumulative rainfall thresholds provide a valuable reference to guide disaster prevention authorities in the issuance of yellow and red alerts with the ability to reduce losses and save lives.

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Landslide hazard and risk assessment: a case study from the Hlohovec–Sered’ landslide area in south-west Slovakia

Cited by 65 publications

References 20 publications

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

Landslide susceptibility mapping in the Beskid Niski Mts., Western Carpathians (Dukla commune, Poland)

Warning Model for Shallow Landslides Induced by Extreme Rainfall

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