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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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Journal ArticleDOI

Methods for detecting channel bed surface changes in a mountain torrent – experiences from the Dorfbach torrent

TL;DR: In this paper, the authors present an overview of existing field methods and highlight their respective advantages and disadvantages in terms of data quality and invested effort, and present a range of potential methods that can be applied accordingly to address the objectives and support the analyses of specific applications.
Dissertation

Capturing and characterising pre-failure strain on failing slopes

TL;DR: In this article, the authors collated thirty-one examples of tertiary creep and related attributes from a broad literature search of over 6,000 peer-reviewed journals and found that most examples were best fit with hyperbolic curves, described by an α coefficient within the 1.7 and 2.2 range.
Journal ArticleDOI

Landslide Hazard Zonation using Logistic Regression Model: The Case of Shafe and Baso Catchments, Gamo Highland, Southern Ethiopia

TL;DR: In this article, the authors identified the spatiotemporal landslide distribution of the area; evaluate the landslide influencing factors and prepare the landslide hazard map, which was then validated using the goodness of fit techniques and receiver operating characteristic curve with an accuracy of 85.4.
Journal ArticleDOI

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

TL;DR: In this paper, the authors analyzed the physical, social, and economic vulnerability and the capacity of communities in both Srigading and Gadingsari villages to deal with erosion in Samas Coast using primary and secondary database.
Journal ArticleDOI

A mathematical approach for assessing landslide vulnerability

TL;DR: A mathematical model for landslide physical vulnerability assessment, here named the T-Model, based on the “Principle of Natural Proportionality” and calibrated with field observations of the massive rainfall-triggered landslide event that occurred in Nova Friburgo, Brazil in November of 2011 showed a good agreement between predictions and the observed level of damages.
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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