Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations
Yannick Thiery,Monique Terrier,Bastien Colas,Mathieu Fressard,Olivier Maquaire,Gilles Grandjean,Sébastien Gourdier +6 more
Reads0
Chats0
TLDR
Through this synthesis carried out as part of the regulatory mapping of landslide hazards and risks in France, a state-of-the-art spatial assessment of current landslide hazards is performed and the new tools and databases to support this type of analysis are described.Abstract:
In France, in the context of regulatory mapping (PPRNs –Prevention Plans of Natural Risk based on French regulatory rules), landslide hazard assessment follows an empirical approach and uses basic available data. Therefore, the results are closely linked to the quality of the expertise and divergent opinions may arise in some specific cases. In recent years, numerical approaches using GIS, the availability of new databases, the development of new acquisition tools in the field and web visualization services have improved the knowledge of phenomena and different landslide-prone areas. Numerical approaches using GIS, that allow the transparency and traceability of results, have various levels of complexity and require different quantities of input data. However, they are often neglected by experts and new data and tools are not currently used to develop regulatory mapping documents. Numerous scientific examples show that these numerical approaches, web services and new tools can be a significant help in improving knowledge and provide a credible alternative to the expert approach, even in a regulatory context such as a PPRN. Thus, through this synthesis carried out as part of the regulatory mapping of landslide hazards and risks in France, a state-of-the-art spatial assessment of current landslide hazards is performed. The new tools and newly available databases to support this type of analysis are then described. Finally, the perspectives and limitations of alternative approaches and new tools and data are discussed, leading to some considerations for the improvement of the current method of producing landslide hazard maps for PPRNs in France.read more
Citations
More filters
Journal ArticleDOI
Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art
Xiaoyi Shao,Chong Xu +1 more
TL;DR: In this article , the authors examined the research status of earthquake-induced landslide susceptibility using data aspects, variable model types, and evaluation scales, and presented the most common EQLSA methods and discussed their advantages and disadvantages.
Journal ArticleDOI
ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment
TL;DR: In this paper, a physical-based model (ALICE -Assessment of Landslides Induced by Climatic Events) is presented, which can integrate different types of landslides (shallow and deep) with different sizes.
Journal ArticleDOI
Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia
Syamsul Bachri,Rajendra P. Shrestha,Fajar Yulianto,Sumarmi Sumarmi,Kresno Sastro Bangun Utomo,Yulius Eka Aldianto +5 more
TL;DR: In this article, a land-form map and a landslide susceptibility map were developed to identify the landslide hazard, focusing on the development of a landform map to reduce the risk of landslide disaster in JLS, Malang Regency.
Journal ArticleDOI
Infinite slope stability model and steady-state hydrology-based shallow landslide susceptibility evaluations: The Guneysu catchment area (Rize, Turkey)
Fatma Keles,Hakan A. Nefeslioglu +1 more
TL;DR: In this paper, the authors investigated shallow landslide susceptibility by considering the infinite slope stability model and steady-state hydrological conditions, and the prediction performance of the Stability Index Mapping (SINMAP) carried out by considering both mechanical and hydrologogical parameters and soil thickness values for different residual soils derived from different geological formations was evaluated.
Journal ArticleDOI
Optimized Landslide Susceptibility Mapping and Modelling using PS-InSAR technique: A case study of Chitral Valley, Northern Pakistan
TL;DR: Chitral valley lies in the eastern Hindu Kush range, one of the hotspot of landslide activities that leads to loss of lives and economy as discussed by the authors, and is prone to landslides.
References
More filters
Journal ArticleDOI
Stratégies de prévention, aide à la décision et préparation à la situation de crise
Book ChapterDOI
TXT-tool 1.081-3.1 Landslide Recognition and Mapping Using Aerial Photographs and Google Earth
TL;DR: In this paper, representative topograhic features of landslides are discussed as a means to identify them in representations of terrain such as topographic maps and aerial photographs and several examples and indications for this recognition tool are presented.
Book ChapterDOI
Comparing Patterns of Spatial Relationships for Susceptibility Prediction of Landslide Occurrences
TL;DR: A cautious way of constructing the susceptibility classes obtained from favourability modeling of landslide occurrences is proposed, based on the ranks of the numerical values obtained by the modelling, which can be displayed in the form of histograms, cumulative curves, and prediction patterns resembling maps.
Improvement of national landslide inventory for Malawi: from visual remote sensing analyses to field evidences
TL;DR: A comprehensive landslide inventory map for a large territory at national scale (i.e. 1:250,000 scale) is difficult to obtain this paper, and only few examples exist of such inventories throughout the world.
Journal Article
Spatial validation of statistical models of landslide susceptibility.
TL;DR: In this paper, the robustness of a Bayesian inference statistical model was evaluated by applying the best set of predictive variables identified on a first area to two distinct areas without any additional calibration procedure, and to quantify the degree of model fit.