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

Abstract

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.

Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning

“…The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/rs14225795/s1, Figures S1 and S2: all the features used by the global dynamic rainfall-induced landslides susceptibility mapping model; Figure S3: the dynamic landslide influencing factors used in the prediction case; Table S1: the data sources and citations for the landslide points used [96][97][98][99][100][101][102][103][104]. References [96][97][98][99][100][101][102][103][104] are cited in the Supplementary Materials.…”

Creating a Comprehensive Landslides Inventory Using Remote Sensing Techniques and Open Access Data

“…Many scientific research studies employ multi-criteria decision analysis methods (MCDA) [2][3][4] to identify the most susceptible subregions within an area due to their efficiency and rapid applicability [5]. In these studies, the availability of a comprehensive landslides inventory is essential as it can be used either during the application of the method Environ.…”

Landslide susceptibility zoning based on Rock Engineering System application to the Tehran case study

“…The key feature of this study is the chosen research methodology. The RES approach, as a multipurpose method, not only examines the influence of one parameter on others (as a cause) but also considers the effects of other parameters on the first parameter (as an effect) (Tavoularis et al., 2021). This cause‐and‐effect interaction in the RES approach allows for a detailed investigation of all factors affecting landslide occurrence in Tehran Province.…”