The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece

Tavoularis, Nikolaos; Koumantakis, I.; Ρόζος, Δ.; Koukis, G.

doi:10.1007/s10706-017-0403-9

Cited by 11 publications

(11 citation statements)

References 21 publications

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“…Slope gradient influences on a high grade the slope proneness to failure due to a combination of reasons such as the weathering processes, the internal geometry of geological formations as well as the intensity of meteorological conditions [34]. Through the use of digital elevation model and geographical information systems processing, the slope layer was derived and classified into five classes, as follows:…”

Section: (Ii) Slope Inclinationmentioning

confidence: 99%

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Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System

Tavoularis¹,

Papathanassiou

Ganas

et al. 2021

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The triggering of slope failures can cause a significant impact on human settlements and infrastructure in cities, coasts, islands and mountains. Therefore, a reliable evaluation of the landslide hazard would help mitigate the effects of such landslides and decrease the relevant risk. The goal of this paper is to develop, for the first time on a regional scale (1:100,000), a landslide susceptibility map for the entire area of the Attica region in Greece. In order to achieve this, a database of slope failures triggered in the Attica Region from 1961 to 2020 was developed and a semi-quantitative heuristic methodology called Rock Engineering System (RES) was applied through an interaction matrix, where ten parameters, selected as controlling factors for the landslide occurrence, were statistically correlated with the spatial distribution of slope failures. The generated model was validated by using historical landslide data, field-verified slope failures and a methodology developed by the Oregon Department of Geology and Mineral Industries, showing a satisfactory correlation between the expected and existing landslide susceptibility level. Having compiled the landslide susceptibility map, studies focusing on landslide risk assessment can be realized in the Attica Region.

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Section: (Ii) Slope Inclinationmentioning

confidence: 99%

“…Interaction intensity-dominance diagram, with different forms (a,b) of parameters constellations[34].…”

mentioning

confidence: 99%

Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System

Tavoularis¹,

Papathanassiou

Ganas

et al. 2021

Land

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“…Different lithologies have different susceptibility to produce landslide and debris flow occurrence (Xu et al 2013). Mineralogy, texture, and fabric influence the shear strength, the permeability, the susceptibility to chemical and physical weathering of rocks, which in turn affect the slope stability (Varnes 1978;Rozos et al 2008;Tavoularis et al 2018) and debris flow generation.…”

Section: Bedrock Lithologymentioning

confidence: 99%

“…The selection of these parameters was based on a deep knowledge of debris flow phenomena achieved after years of study in this field (Zimmerman and Haeberli 1992;Iverson 1997;Jakob et al 2005;Takahashi 2007 and references herein) and on valuable works of other researchers where RES was successfully applied to landslides (Rozos et al 2008;Tavoularis et al 2018). Moreover, their choice was made following five criteria (Ayalew et al 2005): 1) representative of the whole basin, 2) spatial variation, 3) easily measurable, 4) no two or more factors are duplicative, 5) known or generally accepted to be associated with debris flows through the established past years of research.…”

Section: Introductionmentioning

confidence: 99%

“…RES combines objectivity and efficiency (Rozos et al 2008) and allows for the analysis of rock engineering problems from a systematic perspective, using a matrix approach. It has been used in tunnelling applications and slope and mining instability analyses (Mazzoccola et al 1996;Kim et al 2008;Rozos et al 2008;Tavoularis et al 2018 and references herein) but, as far as the authors know, it has never been used as a basic tool for representing the parameters and interaction mechanisms associated with debris flow phenomena.…”

Section: Introductionmentioning

confidence: 99%

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New application of open source data and Rock Engineering System for debris flow susceptibility analysis

et al. 2021

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This research describes a quantitative, rapid, and low-cost methodology for debris flow susceptibility evaluation at the basin scale using open-access data and geodatabases. The proposed approach can aid decision makers in land management and territorial planning, by first screening for areas with a higher debris flow susceptibility. Five environmental predisposing factors, namely, bedrock lithology, fracture network, quaternary deposits, slope inclination, and hydrographic network, were selected as independent parameters and their mutual interactions were described and quantified using the Rock Engineering System (RES) methodology. For each parameter, specific indexes were proposed, aiming to provide a final synthetic and representative index of debris flow susceptibility at the basin scale. The methodology was tested in four basins located in the Upper Susa Valley (NW Italian Alps) where debris flow events are the predominant natural hazard. The proposed matrix can represent a useful standardized tool, universally applicable, since it is independent of type and characteristic of the basin.

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Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study

et al. 2022

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The main purpose of the present study is to develop a debris flow susceptibility map of a mountain area (Susa Valley, Western Italian Alps) by using an upgraded version of the Bonetto et al. (Journal of Mountain Science 18, 2021) approach based on the Rock Engineering System (RES) method. In particular, the area under investigation was discretized in a 5 × 5-m grid on which GIS-based analyses were performed. Starting from available databases, several geological, geo-structural, morphological and hydrographical predisposing parameters were identified and codified into two interaction matrices (one for outcropping lithologies and one for Quaternary deposits), to evaluate their mutual interactions and their weight in the susceptibility estimation. The result for each grid point is the debris flow propensity index (DfPI), an index that estimates the susceptibility of the cell to be a potential debris flow source. The debris flow susceptibility map obtained was compared with those obtained from two expedited and universally recognized susceptibility methods, i.e. the Regional Qualitative Heuristic Susceptibility Mapping (RQHSM) and the Likelihood Ratio (LR). Each map was validated by using the Prediction Rate Curve method. The limitations and strong points of the approaches analysed are discussed, with a focus on the innovativeness and uniqueness of the RES. In fact, in the study site, the RES method was the most efficient for the detection of potential source areas. These results prove its robustness, cost-effectiveness and speed of application in the identification and mapping of sectors capable of triggering debris flow.

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The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece

Cited by 11 publications

References 21 publications

Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System

Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System

New application of open source data and Rock Engineering System for debris flow susceptibility analysis

Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study

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