Landslide hazard assessment: summary review and new perspectives

Aleotti, P.; Chowdhury, Robin

doi:10.1007/s100640050066

Cited by 1,255 publications

(654 citation statements)

References 36 publications

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“…Many different types of landslide hazard zonation techniques have been developed over the last decades, and the difficulty lies in the weighting the factors [32,[56][57][58][59][60]. In this paper, the parameters were weighted as follows: the model builder was used in the ArcGIS 10.1 software and all the environmental settings were checked such as processing extent, raster analysis and cell size.…”

Section: Combining Hazard Parametersmentioning

confidence: 99%

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Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

et al. 2016

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Abstract:The Ndop Plain, located along the Cameroon Volcanic Line (CVL), is a volcano-tectonic plain, formed by a series of tectonic movements, volcanic eruptions and sedimentation phases. Floods (annually) and landslides (occasionally) occur with devastating environmental effects. However, this plain attracts a lot of inhabitants owing to its fertile alluvial soils. With demographic explosion in the plain, the inhabitants (143,000 people) tend to farm and inhabit new zones which are prone to these geohazards. In this paper, we use field observations, laboratory analyses, satellite imagery and complementary methods using appropriate software to establish hazard (flood and landslide) maps of the Ndop Plain. Natural factors as well as anthropogenic factors are considered. The hazard maps revealed that 25% of the area is exposed to flood hazard (13% exposed to high flood hazard, 12% to moderate) and 5% of the area is exposed to landslide hazard (2% exposed to high landslide hazard, 3% to moderate). Some mitigation measures for floods (building of artificial levees, raising foundations of buildings and the meticulous regulation of the flood guards at Bamendjing Dam) and landslides (slope terracing, planting of trees, and building retaining walls) are proposed.

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Section: Combining Hazard Parametersmentioning

confidence: 99%

“…Using the weighted overlay tool, the values of each dataset were then weighted [44,60], and all input parameters were assigned each a percentage of influence or hazard index. The higher the percentage of influence, the greater impact a particular input parameter will have on landslides or floods.…”

Section: Combining Hazard Parametersmentioning

confidence: 99%

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

et al. 2016

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“…Domain expertise is therefore essential for supplementing semi-automated computational methods with meaningful semantic heuristics. Estimations are then made of their relative contribution in slope failure and areas are classified as having different hazard or susceptibility degree [3][4][5]. Multivariate statistical methods are commonly used methodologies for these analyses.…”

Section: Introductionmentioning

confidence: 99%

Multi-scale Robust Modelling of Landslide Susceptibility: Regional Rapid Assessment and Catchment Robust Fuzzy Ensemble

Bosco

Rigo

Dijkstra

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. Landslide susceptibility assessment is a fundamental component of effective landslide prevention. One of the main challenges in landslides forecasting is the assessment of spatial distribution of landslide susceptibility. Despite the many different approaches, landslide susceptibility assessment still remains a challenge. A semi-quantitative method is proposed combining heuristic, deterministic and probabilistic approaches for a robust catchment scale assessment. A fuzzy ensemble model has been exploited for aggregating an array of different susceptibility zonation maps. Each susceptibility zonation has been obtained by applying heterogeneous statistical techniques as logistic regression (LR), relative distance similarity (RDS), artificial neural network (ANN) and two different landslide susceptibility techniques based on the infinite slope stability model. The sequence of data-transformation models has been enhanced following the semantic array programming paradigm. The ensemble has been applied to a study area in Italy. This catchment scale methodology may be exploited for analysing the potential impact of landscape disturbances. At regional scale, a qualitative approach is also proposed as a rapid assessment technique -suitable for application in real-time operations such as wildfire emergency management.

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“…Um bom exemplo de classificação dos métodos de avaliação de susceptibilidade e de perigo a escorregamentos é a apresentada por Aleotti & Chowdhury (1999), formulada com base em classificações anteriores, como o próprio trabalho de Carrar (1983), Soeters & Van Westen (1996), entre outros.…”

Section: Mapas De Risco Potencial a Acidentes Naturaisunclassified

“…Obviamente, esta operação é facilitada com a aplicação de SIG e, em grande parte da "popularidade" desta abordagem estatística se deve ao incremento nas aplicações destas técnicas, segundo apontamento de Aleotti & Chowdhury (1999).…”

Section: Métodos Quantitativosunclassified

Dinâmica geomorfológica e suas consequências sobre o desenvolvimento natural e social de Ubatuba (SP)

Silva¹

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Landslide hazard assessment: summary review and new perspectives

Cited by 1,255 publications

References 36 publications

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

Multi-scale Robust Modelling of Landslide Susceptibility: Regional Rapid Assessment and Catchment Robust Fuzzy Ensemble

Dinâmica geomorfológica e suas consequências sobre o desenvolvimento natural e social de Ubatuba (SP)

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