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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.

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Citations
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Journal ArticleDOI

Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides

TL;DR: In this paper, a multitype Strauss point process model was applied to analyze the spatial distributions of small and large landslides along with geoenvironmental covariates, which can be used to generate landslide susceptibility scenarios.
Book ChapterDOI

Concept on Landslides and Landslide Susceptibility

TL;DR: In this article, to assess the spatial distribution of landslide susceptibility in Darjeeling Himalaya several statistical models, including frequency ratio (FR), modified information value (MIV), logistic regression (LR), artificial neural network (ANN), weighted overlay analysis (WOA), certainty factor (CF), analytical hierarchy process (AHP) model and fuzzy logic (FL) approach have been incorporated and finally a comparison has been made between the models on the basis of model validation results.
Book ChapterDOI

Estimating the consequences

GIS application for comprehensive spatial landslides analysis in Kayangan Catchment, Menoreh mountains, Java Indonesia + poster

Abstract: This paper provides a comprehensive analysis of landslide distribution in the Kayangan catchment, eastern part of Menoreh Mountains, Java, Indonesia. Raster-based GIS was applied in order to analyze the spatial distribution of landslides with parameters maps, e.g. slope, geology, geomorphology, drainage network, landuse, and road networks. 131 landslides were inventoried in the study area through internal reports of village offices followed by extensive field work. Four types of landslides were identified in the study area: slides, slumps, rockfalls, and flows. The landslides are distributed on a wide range of slope gradient and geological setting. Landslide density was 4.21 events.km. Most of the landslides occurred on slope gradients ranging from 20 to 30 (35%), and were associated with roads. The landslides events were controlled not only by natural factors but also human activities mainly roads construction.
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.
Book

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).
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