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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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Book ChapterDOI

Hazard Mapping for Earthquake-Induced Geo-disaster Chain

TL;DR: In this paper, the authors proposed a landslide dam prediction system over a regional scale using a slope unit-based mapping unit, and utilizing four filters to remove steady slopes to obtain landslides dam prone slopes.
Book ChapterDOI

Laser scanning systems in landslide studies

TL;DR: In this paper, the capability of new and enhanced remote sensing techniques to acquire 3D spatial data and very high-resolution terrain contours allows advanced and effective investigations of landslide phenomena.
Journal ArticleDOI

Probabilistic analysis of landslide hazard: considering the dependence between hazard components

TL;DR: In this article , the authors reported a landslide hazard pattern considering the dependence of hazard components, with the example of Heilongjiang Province, and derived landslide hazard considering component dependence was derived based on a modified Poisson model, and presented via the exceeding probability under the scenarios of combining two magnitudes (greater than or equal to 30,000 and 100,000 m3) and four periods (1, 3, 5 and 10 years).
Book ChapterDOI

Design and Development of an Intelligent Extension for Mapping Landslide Susceptibility Using Artificial Neural Network

TL;DR: This study deals with designing a model for systematic usage of multilayer perceptron network to solve existing challenges on choosing input patterns and target outputs of spatial data and accompanies with a modified Backpropagation as a learning algorithm.
Journal ArticleDOI

Combining neural networks and geostatistics for landslide hazard assessment of san salvador metropolitan area, el salvador

TL;DR: In this article, the authors describe the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador, using Artificial Neural Networks (ANN) to assess the susceptibility to landslides, achieving results where more than 80% of landslide were properly classified using in-sample and out-sample criteria.
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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