Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy

Guzzetti, Fausto; Carrara, A.; Cardinali, Mauro; Reichenbach, Paola

doi:10.1016/s0169-555x(99)00078-1

Cited by 2,184 publications

(1,540 citation statements)

References 37 publications

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“…To select the appropriate terrain mapping unit (e.g. grid cells, terrain units, unique condition units, slope units, geo-hydrological units, topographic units, and political or administrative units (Van Den Eeckhaut et al, 2009)) the following factors must be considered (Guzzetti et al, 1999): (i) typology of landslides in analysis; (ii) working scale of the study; (iii) resolution, quality and type of thematic information; and (iv) availability of the adequate data and adjustment of the analysis tools.…”

Section: Introductionmentioning

confidence: 99%

“…Regardless of the type of selected mapping units, it is mandatory to homogenize the information inherent to each unit and, simultaneously, to guarantee the differentiation between adjacent mapping units (Guzzetti et al, 1999). 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%

“…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%

“…This approach led to the adoption of methodologies that divide cliffs into terrain units. 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).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Sci. However, almost all countries find it challenging to have enough financial and human resources for major engineering works or relatively expensive monitoring methods to control disasters with installation of costly measures to manage risk from landslides (Guzzetti et al, 1999;Baroň and Supper, 2013). In fact, monitoring and warning systems can substitute for expensive stabilization works or engineering solutions to prevent loss from landslides wherever a large extent of area needs to be applied (Dai et al, 2002).…”

Section: Introduction 25mentioning

confidence: 99%

Risk-based analysis of monitoring time intervals for landslide prevention

Lee

Kil

et al. 2017

Preprint

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Abstract.Landslide is one of the most dangerous disasters in terms of occurrence frequency and damage severity that result in loss of human life and social infrastructure. Monitoring methods based on low temporal resolution instruments such as an inclinometer or piezometer can be an effective and cost-efficient solution. The objective of this research is to analyse monitoring time 15 intervals for low temporal resolution methods based on a risk study and to propose a plan for periodic landslide monitoring along with the different landslide hazard areas by considering the risk reduction effect. For this purpose, an equation for the probability of landslide occurrence was denoted by the concept of reliability, and the monitoring time interval was analysed quantitatively by calculating the average probability of landslide occurrence. To identity the frequency of landslide occurrence, a unit of relative temporal frequencies was adopted, and it was estimated by establishing rainfall threshold. As a case study 20 site, Pyeongchang County was selected, where landslide inventory data are available and an increase in population and infrastructure has been observed since Pyeongchang became the host city of the 2018 winter Olympic games. The result demonstrates that the appropriate monitoring intervals can be determined by calculating the average probability of landslide occurrence, and resources can then be allocated efficiently for landslide prevention.

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Regional coseismic landslide hazard assessment without historical landslide inventories: A new approach

Kritikos

Robinson

Davies

2015

J. Geophys. Res. Earth Surf.

121

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Currently, regional coseismic landslide hazard analyses require comprehensive historical landslide inventories as well as detailed geotechnical data. Consequently, such analyses have not been possible where these data are not available. A new approach is proposed herein to assess coseismic landslide hazard at regional scale for specific earthquake scenarios in areas without historical landslide inventories. The proposed model employs fuzzy logic and geographic information systems to establish relationships between causative factors and coseismic slope failures in regions with well-documented and substantially complete coseismic landslide inventories. These relationships are then utilized to estimate the relative probability of landslide occurrence in regions with neither historical landslide inventories nor detailed geotechnical data. Statistical analyses of inventories from the 1994 Northridge and 2008 Wenchuan earthquakes reveal that shaking intensity, topography, and distance from active faults and streams are the main controls on the spatial distribution of coseismic landslides. Average fuzzy memberships for each factor are developed and aggregated to model the relative coseismic landslide hazard for both earthquakes. The predictive capabilities of the models are assessed and show good-to-excellent model performance for both events. These memberships are then applied to the 1999 Chi-Chi earthquake, using only a digital elevation model, active fault map, and isoseismal data, replicating prediction of a future event in a region lacking historic inventories and/or geotechnical data. This similarly results in excellent model performance, demonstrating the model's predictive potential and confirming it can be meaningfully applied in regions where previous methods could not. For such regions, this method may enable a greater ability to analyze coseismic landslide hazard from specific earthquake scenarios, allowing for mitigation measures and emergency response plans to be better informed of earthquake-related hazards.

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Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy

Cited by 2,184 publications

References 37 publications

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

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

Risk-based analysis of monitoring time intervals for landslide prevention

Regional coseismic landslide hazard assessment without historical landslide inventories: A new approach

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