Comparing models of debris-flow susceptibility in the alpine environment

Carrara, A.; Crosta, Giovanni B.; Frattini, Paolo

doi:10.1016/j.geomorph.2006.10.033

Cited by 241 publications

(152 citation statements)

References 56 publications

(82 reference statements)

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“…Additionally, being data-driven, a statistical model built up for one region cannot readily be extrapolated to the neighbouring area. On the contrary, the main drawback of physically based modeling is the difficulty to gather the input parameters over large and complex areas (Carrara et al 2008;Chang and Chiang 2009). However, a possible solution is to calibrate the parameter values through back-analysis of preceding major landslide events, after which event-based landslide inventories are generally available (Casadei et al 2003;Li et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

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In the last years, great efforts have been made to improve the assessment of the temporal and spatial occurrence of rainfall-induced shallow landslides. Therefore, in this paper we used a physically based stability model (TRIGRS) in order to reproduce the landslide event occurred in the Monterosso catchment (Cinque Terre, Eastern Liguria, Italy) on 25 October 2011. The input parameters of the numerical model have been evaluated taking into account the land-use setting and paying specific attention to the evaluation of the spatial variation of soil thickness on terraced areas. The resulting safety factor maps have been compared with the inventory map of the landslides triggered during the event. The simulation results, which have been obtained also considering four different spatial resolutions of the digital terrain model, emphasize the influence of land use in shallow landslide occurrence and indicate the importance of a realistic spatial variation of soil thickness to enhance the reliability of the model. Finally, different triggering scenarios have been defined using hourly rainfall values statistically derived from historical data. The results indicate the proneness of the area to shallow landsliding, given that rainfall events with a relatively low return period (e.g. 25 years) can trigger numerous slope failures.

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Section: Introductionmentioning

confidence: 99%

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

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“…In addition, the adoption of an appropriate mapping unit is essential because the different partitions interfere in the way data is integrated and treated into the modeling process (Guzzetti et al, 1999), thus generating different landslide susceptibility results (Carrara et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Conventionally, the boundaries of these terrain units were defined by the materials, landforms or geomorphological processes occurring in the study area (Guzzetti et al, 1999). In recent years, some authors have discussed the main advantage and drawbacks of different types of terrain mapping units (Van den Eeckhaut et al, 2009), and even highlighted the relevance of terrain units in the analysis and modeling of geological and environmental phenomena (Carrara et al, 2008). Although the needs to develop new methodologies to improve the predictive quality of the landslide susceptibility assessment at the cliffs are evident, the selection of adjusted terrain mapping units has not received yet special attention.…”

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

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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.

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“…4). As pointed out in many regions worldwide, landslides are linked to slopes [16,36,[42][43][44][45][46][47]. Two characteristics are classically considered: slope orientation and slope dipping.…”

Section: Slope Orientation and Slope Dippingmentioning

confidence: 99%

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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Comparing models of debris-flow susceptibility in the alpine environment

Cited by 241 publications

References 56 publications

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

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

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

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