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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

Probabilistic modelling of rainfall induced landslide hazard assessment

TL;DR: In this article, the authors used a probabilistic model based on multiple logistic regression analysis to evaluate the frequency and distribution of landslides hazards over Japan, and the results showed that the highest landslide hazard probability exists in the mountain ranges on the western side of Japan (Japan Sea side), including the Hida and Kiso, Iide and the Asahi mountainous range, the south side of Chugoku mountainous range.
Journal ArticleDOI

LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process

TL;DR: In this paper, the authors investigated a potential application of different resolution topographic data obtained from airborne LiDAR and an integrated ensemble weight-of-evidence and analytic hierarchy process (WoE-AHP) model to spatially predict slope failures.
Proceedings ArticleDOI

Landslide Susceptibility Assessment with Machine Learning Algorithms

TL;DR: State-of-the-art approaches had been taken into consideration, cutting down to the Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) algorithms, trained upon expert based model of landslide susceptibility (a multi-criteria analysis).
Posted ContentDOI

Space-Time Landslide Predictive Modelling

TL;DR: In this article, a Bayesian modeling framework is proposed for the prediction of space-time landslide occurrences of the slide type caused by weather triggers, assuming that individual landslides stem from a point process described by an unknown intensity function.
Journal ArticleDOI

Uncorrected land-use planning highlighted by flooding: the Alba case study (Piedmont, Italy)

TL;DR: In this article, the authors investigated the impact of historic floods on the land-use planning of Alba and showed that the historic floods and their dynamics have not been duly considered in the land use planning.
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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