Landslide hazard zonation of the Khorshrostam area, Iran

Uromeihy, Ali; Mahdavifar, M R

doi:10.1007/s100640050076

Cited by 64 publications

(16 citation statements)

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“…This method was based on the calculation of the landslides density for each class of each fa ctor. This index is similar to the Landslide Susceptibility Index (LSI) used by Sarkar et al (1995), and to Surface Percentage Index (SPI) by Uromeihy and Mahdavifar (2000). From this fi rst ap proach, the procedure that is presented in this work is applied to estimate the susceptibility for fu tnre landslides (third generation typologies), and incorporates the Bayes conditioning probability.…”

Section: Methodologymentioning

confidence: 99%

Hazard Zoning for Landslides Connected to Torrential Floods in the Jerte Valley (Spain) by using GIS Techniques

et al. 2003

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Abstract. The Jerte Valley is a northeast-southwest tending graben located in the mountainous region of west central Spain (Spanish Central System). Mass movements have been a predominant shaping process on the Valley slopes during the Quaternary. Present day activity is characterized as either 'first-time fa ilure' (shallow debris slides and debris flows) or 'reactivations' of pre-existing landslides deJX)sits.A delineation of landslide hazard zoning within the Valley has been carried out by using the de tailed documentation of a particular event (a debris slide and a sequel torrential fl ood, which occurred on the Jubaguerra stream gorge), and GIS techniques. The procedure has had four stages, which are: (1) the elaooration of a susceptibility map (spatial prediction) of landslides; (2) the ela1x:lration of a map of 'restricted susceptibility' in the particular case of slopes that are connected to streams and torrents (gorges); (3) the ela1x:lration of a digital model which relates the altitude to the occurrence probability of those particular precipitation conditions which characterized the Jubaguerra event and (4) the combination of the probability model with the 'restricted susceptibility map', to establish 'critical zones' or areas which are more prone to the occurrence of phenomena that have same tY}Xllogy as this one.

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Section: Methodologymentioning

confidence: 99%

Hazard Zoning for Landslides Connected to Torrential Floods in the Jerte Valley (Spain) by using GIS Techniques

et al. 2003

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“…As Figure 3 reflects, the landscapes of high and very high hazard of sliding are covering landscape-and environmental facies, numbered as 3,6,8,9,11,12,15,19,20 and 30, the area of which makes up 55,9% the overall territory of the study area. These areals consist of mostly ellevial and delluvial sediments, clayey, allevrolit and limestone rocks, and encompass mainly the western, south-western, north-western and northern slopes.…”

Section: Figure 5 Landscape and Environmental Risks And Hazards Causmentioning

confidence: 99%

The Assessment of Landscape and Environmental Risks and Hazards Caused by Landslides in Mountain Areas

Alizade¹

2016

Appl Ecol Env Res

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Abstract. The landslide is a kind of natural disaster responsible for creation of risks and hazards in relation to population and its economic activity. Each year the occurrence of landslides causes killing of people and economic losses, as well as leads to destruction and deterioration of pastures, arable lands, forests and highways. The southeastern slope of Greater Caucasus is one of the most active landslide zones in Azerbaijan. As a result of the occurrence of landslide in the Mughanli area in 2011, 168 houses out of 279 ones became unusable while the village of the same name was moved to a new residential area. Moreover, the 3 km-long part of the Ismayilli-Mughanli-Shamakhi highway near the village became unusable repeatedly. In 2014, USD 52 million was spent in order to eliminate the consequences of landslides. Topographic maps of scale of 1:10000 and also aerospace images were used to assess the landscape-and environmental risks and hazards caused by landslides. Maps of various factors of the same scales, compiled in ArcGIS program were analysed through GIS technologies, which allowed compilation of a map of relevant landscape-and environmental risks and hazards. The carried out studies will enable to estimate natural disasters and reduce the related economic losses.

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“…In bivariate statistical analysis, each causal factor map is combined with the landslide distribution map and weighting values based on landslide densities are calculated for each causal factor class [20]. Good examples of this methodology are those reported by Yin and Yan [28], Pachauri and Pant [17], van Westen [23,24], Rautela and Lakhera [18], Uromeihy and Mahdavifar [22], Süzen and Doyuran [20,21] and Yalcin [27]. On the other hand, in multivariate statistical analysis, the weights of causal factors controlling landslide occurrence indicate the relative contribution of each of these factors to the degree of hazard within a defined land unit [20].…”

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confidence: 99%

Comparison of GIS-based methodologies for the landslide susceptibility assessment

2008

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In this paper, two simple GIS-based methodologies have been used to assess the landslide susceptibility in a basin located in Southern Italy. The methodologies at issue, based on the spatial distribution of landslides and/or of causal factors, are bivariate statistics-based and expert-based, respectively. The spatial distribution of both the landslides and the causal factors has been investigated by integrating pre-existing and original data, which have been processed using ArcView GIS 3.2 software. The obtained results, consisting of landslide susceptibility maps have been compared and discussed. The bivariate statistics-based method has provided the most satisfying results. On the contrary, the expert-based method has provided a classification of the study area in terms of landslide susceptibility which does not completely fit with the surveyed spatial distribution of the landslides.

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Landslide hazard zonation of the Khorshrostam area, Iran

Cited by 64 publications

References 1 publication

Hazard Zoning for Landslides Connected to Torrential Floods in the Jerte Valley (Spain) by using GIS Techniques

Hazard Zoning for Landslides Connected to Torrential Floods in the Jerte Valley (Spain) by using GIS Techniques

The Assessment of Landscape and Environmental Risks and Hazards Caused by Landslides in Mountain Areas

Comparison of GIS-based methodologies for the landslide susceptibility assessment

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