Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems

Luzi, Lucia; Pergalani, F.; Terlien, M.T.J.

doi:10.1016/s0013-7952(00)00041-7

Cited by 120 publications

(46 citation statements)

References 3 publications

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“…Esta ecuación se divide en tres términos, el primero es la componente cohesiva de la resistencia, el segundo es la componente friccionante y el tercer término toma en cuenta la disminución de la resistencia debido a la presión de poro (Luzi et al, 2000). Sin embargo, un parámetro de suma importancia en la estabilidad del talud es el valor de por lo que las propiedades mecánicas del suelo están ponderadas respecto a éste.…”

Section: Estabilidad Dinámica Del Taludunclassified

Una Aproximación Para La Obtención De Mapas De Desplazamiento Traslacional De Laderas a Nivel Regional Inducido Por Sismos

Jaimes¹,

Niño²,

Reinoso³

2013

RIS

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RESUMENSe propone una expresión para estimar el desplazamiento de Newmark en términos de la relación entre la aceleración crítica, a c (umbral de aceleración del suelo para iniciar un movimiento del talud) y la aceleración máxima del suelo, a max , para obtener el deslizamiento traslacional de laderas por sismo que de manera aproximada estimen esta amenaza a escala regional. Con los resultados que se obtienen de la ecuación de desplazamiento propuesta es posible definir un mapa de peligro por deslizamiento traslacional a nivel regional inducido por sismos. Para llevar a cabo lo anterior, se asumen valores promedio de propiedades mecánicas del suelo como la cohesión, peso volumétrico y ángulo de fricción a partir de mapas geológicos y litológicos a escala 1:1'000,000, así como la pendiente de deslizamiento potencial a partir de modelos de elevación digital del terreno. Se presenta un mapa de peligro de deslizamiento de la República Mexicana asociado a la aceleración máxima del suelo que se presenta con un periodo de retorno de 150 años, y un ejemplo de un mapa empleando como detonador el sismo de Tecomán en Colima de magnitud M=7.6 ocurrido el 21 de enero de 2003; este ejemplo se compara con el obtenido a través del método Mora-Vahrson que es ampliamente utilizado para elaborar este tipo de mapas de deslizamientos.Palabras clave: mapas de deslizamiento traslacional; desplazamiento de Newmark; intensidad sísmica; evaluación del peligro por deslizamiento ABSTRACTWe propose to obtain translational landslides due to earthquake in Mexico estimating Newmark displacements in terms of the relationship between the critical acceleration, a c (the peak ground acceleration threshold to start the landslide) and the peak ground acceleration, a max . With the obtained results from a proposed displacement equation it is possible to define a translational landslide map at regional level induced by earthquakes. Soil parameters such as cohesion, volumetric weight and angle of friction are inferred from geological maps, scale 1:1'000,000, and a digital elevation map is employed to obtain the slope of the potential landslide. We present a landslide hazard map for Mexico associated to a peak strong ground motion acceleration with a return period of 150 years at regional level, and an example map of displacements triggered by the Artículo recibido el 15 de febrero de 2011 y aprobado para su publicación el 27 de agosto de 2013. Se aceptarán comentarios y/o discusiones hasta cinco meses después de su publicación.(1)

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Section: Estabilidad Dinámica Del Taludunclassified

Una Aproximación Para La Obtención De Mapas De Desplazamiento Traslacional De Laderas a Nivel Regional Inducido Por Sismos

Jaimes¹,

Niño²,

Reinoso³

2013

RIS

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“…Recently, landslide hazard evaluation carried out by using fuzzy logic, and artificial neural network models Yilmaz 2010;Lee et al 2014). During the last decade, researchers indicated that landslide susceptibility and deformation measurement have extensively performed particularly for the landslides assessment (Luzi et al 2000;Schulz 2004;Su and Bork 2006;Streutker and Glenn 2006;Schulz 2007). They have integrated traditional and advanced methods such as classical geodetic surveying techniques (i.e.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Pirasteh

2017

Geoenviron Disasters

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This paper expands the previous efforts by other researchers to present a quantitative and deterministic approach for terrain analysis. This study evaluates both spatial and temporal factors contributing landslides utilizing Light Detection and Ranging (LiDAR) point clouds in conjunction with the frequency ratio model (PFR) than has previously been used in the Alborz Mountains. The study area is Marzan Abad of the Alborz Mountain in Iran. The significance of this study is the performance of a high-resolution digital elevation model (DEM) derived from LiDAR point clouds in order to provide detailed information in improving landslide susceptibility evaluation. This study discusses how we improve the quality of landslide susceptibility evaluation. We apply the PFR model to consider the effect of landslide-related factors associated with Google Earth's high-resolution images and field observations. The LiDAR point cloud data and GIS-based analysis have allowed performing high quality ways of landslide hazard assessments using inventory dataset as compared to previous studies. We contributed an improved landslide inventory map of the Mazandaran Province. We used image elements interpretation from the available ASTER DEM (30 m), LiDAR-DEM (5 m), and the Google Earth high spatial resolution images in conjunction with the field observations. This study evaluates factors such as geology, geomorphology, landuse, soil, slope, and distance from roads and drainage to represent, manipulate, and analyze factors. Also, we evaluated the performance success of the rate curve of landslides susceptibility. The results have indicated an improved landslide susceptibility map from LiDAR-derived DEMs implementing the PFR model with 92.59% of accuracy performance as compared to the existing data and previous studies in the same region. Furthermore, this study reveals that all considering factors have relatively positive effects on the landslides susceptibility mapping in the study, however, the most effective factor on the landslide occurrence is the lithology with 13.7%.

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“…Recently, there have been studies on landslidehazard evaluation using GIS, and many of these studies have applied probabilistic models (Akgun et al 2007;Dahal et al 2007;Clerici et al 2006;Cevik and Topal 2003;Rowbotham and Dudycha 1998;Jibson et al 2000;Luzi et al 2000;Parise and Jibson 2000;Baeza and Corominas 2001;Clerici et al 2002;Donati and Turrini 2002;Zhou et al 2002;Lee et al 2004b). One of the statistical models available, the logistic regression models, has also been applied to landslide-hazard mapping (Tunusluoglu et al 2007;Lamelas et al 2008;Wang and Sassa 2005;Süzen and Doyuran 2004;Dai and Lee 2002;Ohlmacher and Davis 2003;Mansor et al 2007;Pradhan et al 2006, as has the geotechnical model and the safety factor model (Gokceoglu et al 2000;Romeo 2000;Refice and Capolongo 2002;Carro et al 2003;Shou and Wang 2003;Zhou et al 2003, Lee 2007.…”

Section: Introductionmentioning

confidence: 99%

Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping

2009

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Geospatial data base creation for landslidehazard mapping is often an almost inhibitive activity. This has been the reason that for quite some time landslidehazard analysis was modeled on the basis of spatially related factors. This paper presents the use of fuzzy logic to landslide-hazard analysis in the Penang Island, Malaysia, using remote sensing data and a geographic information system (GIS). To achieve the goal, a data-derived model (frequency ratio) and a knowledge-derived model (fuzzy operator) were combined for landslide-hazard analysis. Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and field surveys. The nine factors that influence landslide occurrence were extracted from the database and the frequency ratio coefficient for each factor was computed. Using the factors and the identified landslide, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslidehazard mapping. Finally, the produced map was verified by comparing with existing landslide locations for calculating prediction accuracy. Among the fuzzy operators, in the case in which the gamma operator (λ=0.8) showed the best accuracy (80%) while the case in which the fuzzy or operator was applied showed the worst accuracy (56%).

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Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems

Cited by 120 publications

References 3 publications

Una Aproximación Para La Obtención De Mapas De Desplazamiento Traslacional De Laderas a Nivel Regional Inducido Por Sismos

Una Aproximación Para La Obtención De Mapas De Desplazamiento Traslacional De Laderas a Nivel Regional Inducido Por Sismos

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping

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