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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

Landslide hazard and risk assessment and their application in risk management and landuse planning in eastern flank of Menoreh Mountains, Yogyakarta Province, Indonesia

TL;DR: In this article, a landslide hazard and risk assessment that will be useful for risk prevention and landuse planning in the Menoreh Mountains in Yogyakarta has been presented to evaluate the ways to map landslide risk in order to improve the risk mitigation.
Journal Article

Landslide Hazard Zonation Using Quantitative Methods in GIS

TL;DR: In this article, a comparative study of Weights of Evidence (WOE), Analytical Hierarchy Process (AHP), Artificial Neural Network (ANN), and Generalized Linear Regression (GLR) procedures for landslide susceptibility zonation is presented.
Journal ArticleDOI

Quantification of the influence of preferential flow on slope stability using a numerical modelling approach

TL;DR: In this article, the effect of preferential flow on the stability of landslides is studied through numerical simulation of two types of rainfall events on a hypothetical hillslope, and a model consisting of two parts is developed that consists of a model for combined saturated/unsaturated subsurface flow and is used to compute the spatial and temporal water pressure response to rainfall.
Journal ArticleDOI

Enriching Great Britain's National Landslide Database by searching newspaper archives

TL;DR: In this article, a method to supplement existing records of landslides in Great Britain by searching an electronic archive of regional newspapers is presented, which is done by systematically searching the Nexis UK digital archive of 568 regional newspapers published in the UK.
Journal ArticleDOI

A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping

TL;DR: Wen et al. as discussed by the authors assessed the susceptibility of landslides in Wen County, China, using both analytical hierarchy process (AHP) and frequency ratio (FR) models.
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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