Journal ArticleDOI
Landslide hazard and risk zonation—why is it still so difficult?
TLDR
In this paper, the authors review the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability.Abstract:
The quantification of risk has gained importance in many disciplines, including landslide studies. The literature on landslide risk assessment illustrates the developments which have taken place in the last decade and that quantitative risk assessment is feasible for geotechnical engineering on a site investigation scale and the evaluation of linear features (e.g., pipelines, roads). However, the generation of quantitative risk zonation maps for regulatory and development planning by local authorities still seems a step too far, especially at medium scales (1:10,000–1:50,000). This paper reviews the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability. An overview of recent developments in the different approaches to landslide hazard and risk zonation at medium scales is given. The paper concludes with a number of new advances and challenges for the future, such as the use of very detailed topographic data, the generation of event-based landslide inventory maps, the use of these maps in spatial-temporal probabilistic modelling and the use of land use and climatic change scenarios in deterministic modelling.read more
Citations
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Journal ArticleDOI
Regional moisture balance control of landslide motion: implications for landslide forecasting in a changing climate
TL;DR: In this paper, the authors correlated 12 years of annual movement of 18 points on a large, continuously moving, deep-seated landslide with a regional moisture balance index (moisture balance drought index, MBDI), and used the correlation to forecast decreasing landslide movement between 2011 and 2099, with the head of the landslide expected to stop moving in the mid-21 st century.
Journal ArticleDOI
Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area
TL;DR: In this article, an adaptive neuro-fuzzy modeling (ANFIS) is applied in order to map landslide susceptibility for a Mediterranean catchment (Peloponnese, Greece).
Journal ArticleDOI
Landslide occurrence and its relation with terrain factors in the Siwalik Hills, Nepal: case study of susceptibility assessment in three basins
TL;DR: In this article, Chi square analysis was carried out to test the significance of landslide distribution vis-a-vis in situ factors, and landslide susceptibility had good correlation with slope gradient and relative relief.
Journal ArticleDOI
Shallow landslide hazard assessment using a three-dimensional deterministic model in a mountainous area
TL;DR: In this article, a statistics-based regression analysis is used to evaluate soil depths, and the slope stability analysis can then be performed using deterministic methods with the evaluated soil depths.
Journal ArticleDOI
A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece)
TL;DR: In this article, the authors compared the performance of a conventional statistical method like the landslide susceptibility index (LSI) and a soft computing method like artificial neural networks (ANNs) in order to realistically map landslide susceptibility (LS) in the Krathis and Krios drainage basins in northern Peloponnesus.
References
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Journal ArticleDOI
Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
TL;DR: In this paper, the authors used geomorphological information to assess areas at high landslide hazard, and help mitigate the associated risk, and found that despite the operational and conceptual limitations, landslide hazard assessment may indeed constitute a suitable, cost-effective aid to land-use planning.
Journal ArticleDOI
The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar
TL;DR: For 11 days in February 2000, the Shuttle Radar Topography Mission (SRTM) successfully recorded by interferometric synthetic aperture radar (InSAR) data of the entire land mass of the earth between 60°N and 57°S.
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Geographic Information Systems for Geoscientists: Modelling with GIS
TL;DR: An introduction to GIS and tools for map analysis: map pairs, spatial data models, and more.
Journal ArticleDOI
The Rainfall Intensity - Duration Control of Shallow Landslides and Debris Flows
TL;DR: In this article, rainfall intensities and durations associated with shallow landsliding and debris flow activity suggests a limiting threshold for this type of slope instability, and the limit is defined based on the rainfall intensity and duration.
Book
Landslide hazard zonation: A review of principles and practice
TL;DR: In this paper, the authors give the definitions and principles of landslides, and identify causative conditions and processes (inherent or basic conditions, geology, geomorphology, hydrologic conditions and climate, vegetation, factors that change stress conditions and strength of materials).