Probabilistic landslide hazard assessment at the basin scale

Guzzetti, Fausto; Reichenbach, Paola; Cardinali, Mauro; Galli, M.; Ardizzone, Francesca

doi:10.1016/j.geomorph.2005.06.002

Cited by 928 publications

(695 citation statements)

References 57 publications

Supporting

Mentioning

566

Contrasting

Unclassified

Order By: Relevance

“…As multi-temporal inventories are time-consuming to prepare, only few works have been published on the temporal probability of occurrence of future landslides (Coe et al, 2000;Guzzetti et al, 2005;Lopez-Saez et al, 2012). The approach presented in this paper allows determination of quantitative probabilities of reactivation estimated directly from the frequency of past events combining recent very slow-moving landslides by SAR results interpretation and landslide (re)activations over the last 60 years by orthophotographs interpretation.…”

Section: Resultsmentioning

confidence: 99%

“…A simple approach is therefore used to estimate the temporal probability of landslide reactivation by calculating how many times a portion of the territory is affected by landslides for a given period of time. The exceedance probability of having one or more landslides in each grid-cell (250 × 250 m) is computed by (i) ascertaining the mean recurrence interval of landslides in each mapping unit (from 1956 to 2009), (ii) assuming that the rate of slope failures remains the same for the future, and (iii) using a Poisson probability model (Crovelli, 2000;Guzzetti et al, 2003Guzzetti et al, , 2005. The landslide recurrence is calculated per grid-cell on the basis of the observed rate of landslide occurrence for the period 1956-2009, knowing the interval of (re)-activations (e.g.…”

Section: Landslide Temporal Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956-2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents.Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Landslide Temporal Probabilitymentioning

confidence: 99%

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…According to Blahut et al (2010), the Accountability index explains how classes of predisposing map that are relevant for the analysis correlate with landslides, while the Reliability index indicates the average landslide density in classes of predisposing factors more prone to landslide occurrence. Terrain mapping units were classified according to stability conditions, following the approach proposed by Guzzetti et al (2005). This classification was based on the type of cliff instability and percentage of unstable area: if the area affected by rotational (translational) slides exceeds 2.0% of the total area of the terrain unit, then, the terrain unit was considered unstable regarding rotational (translational) slides.…”

Section: Terrain Mapping Units and Landslide Predisposing Factorsmentioning

confidence: 99%

“…The spatial relationships between landslides which have already occurred in a certain area and the set of landslide predisposing factors are usually explored with data-driven methods in order to assess landslide susceptibility (e.g. Carrara et al, 1998;Epifânio et al, 2013;Guillard and Zêzere, 2012;Guzzetti et al, 2005;Zêzere et al, 2004). Besides the influence of the magnitude of wave action at the base of cliff, Sunamura (1992) points out the strong relationship existing between landslide occurrence and the geologic characteristics of coastal cliffs (lithology, geologic structure and geotechnical properties).…”

Section: Introductionmentioning

confidence: 99%

Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)

Epifânio

Zêzere

Neves

2014

Journal of Sea Research

View full text Add to dashboard Cite

The coastal zone of Lourinhã (located in Central Portugal) is characterized by beach-cliff systems, where beaches are narrow and cliffs have notorious slope instability. These cliffs evolve by different types of landslides, which are one of the main sources of natural hazard and risk in this coastal region. In this work, aerial photo interpretation and a systematic field survey were performed in order to obtain an inventory of landslides of the following types: rotational slides, translational slides and debris flows. The entire coast was then split into 261 terrain mapping units. For each unit, landslide predisposing factors were derived and classified: cliff elevation, slope angle (maximum, mean and standard deviation), potential solar radiation, slope curvature (profile and plan), lithological units and geologic structure. The predictive susceptibility models were computed for each type of landslide using a bi-variate statistical method -the Information Value Method. The degree of fit and the predictive capacity of the models were assessed using the Effectiveness Ratio, the standard Receiver Operator Characteristic curves and the respective Area Under Curve. Results show that each landslide typology occurs in particular terrain conditions. Individual susceptibility models evidence better predictive capacity than susceptibility model for total landslides.

show abstract

“…Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. This makes it difficult -if not impossible -to define a single methodology to identify and map landslides, to ascertain landslide hazards, and to evaluate the associated risk (Guzzetti et al, 2005). The assessment of landslide hazard has become an important assignment for various interest groups comprising technocrats, planners and others mainly due to an increased awareness of the socioeconomic significance of landslides (Devoli et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

Das

Oberai

Roy

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. Making landslide database available online via WWW (World Wide Web) promotes the spreading and reaching out of the landslide information to all the stakeholders. The aim of this research is to present a comprehensive database for generating landslide hazard scenario with the help of available historic records of landslides and geo-environmental factors and make them available over the Web using geospatial Free & Open Source Software (FOSS). FOSS reduces the cost of the project drastically as proprietary software's are very costly. Landslide data generated for the period 1982 to 2009 were compiled along the national highway road corridor in Indian Himalayas. All the geo-environmental datasets along with the landslide susceptibility map were served through WEBGIS client interface. Open source University of Minnesota (UMN) mapserver was used as GIS server software for developing web enabled landslide geospatial database. PHP/Mapscript server-side application serve as a front-end application and PostgreSQL with PostGIS extension serve as a backend application for the web enabled landslide spatio-temporal databases. This dynamic virtual visualization process through a web platform brings an insight into the understanding of the landslides and the resulting damage closer to the affected people and user community. The landslide susceptibility dataset is also made available as an Open Geospatial Consortium (OGC) Web Feature Service (WFS) which can be accessed through any OGC compliant open source or proprietary GIS Software.

show abstract

Probabilistic landslide hazard assessment at the basin scale

Cited by 928 publications

References 57 publications

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

Contact Info

Product

Resources

About