A method for producing digital probabilistic seismic landslide hazard maps: An example from the Los Angeles, California, area

Jibson, Randall W.; Harp, Edwin L.; Michael, John A.

doi:10.3133/ofr98113

Cited by 156 publications

(90 citation statements)

References 6 publications

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“…Guzzetti et al 2008) or seismic events (e.g. Keefer 1984;Jibson et al 1998). Given sufficient spatial resolution of records of storm rainfall or earthquake magnitude, knowledge of the distribution of landslides over the area should make it possible to establish rainfall intensity/landslide density or epicentral distance/ landslide density functions.…”

Section: Non-spatially Explicit Hazard Analysesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

710

666

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This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation of the elements at risk, the assessment of the potential degree of damage and the quantification of the vulnerability of the elements at risk, and those used to perform the quantitative risk analysis are also described. The paper is intended for use by scientists and practising engineers, geologists and other landslide experts.

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Section: Non-spatially Explicit Hazard Analysesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

710

666

View full text Add to dashboard Cite

show abstract

“…Newmark's analysis has been applied repeatedly (e.g., Wieczorek et al 1985;Jibson et al 1998) and a number of regression models (e.g., Ambraseys and Menu 1988;Jibson 1993;Jibson 2007) derived based on the displacement. However, regression models developed to predict landslide do not explicitly offer insight into the impact of ground motion characteristics on the seismic vulnerability of slopes.…”

Section: Background and Motivationmentioning

confidence: 99%

Influence of strong motion characteristics on permanent displacement of slopes

Roy

Ghosh²,

Bhattacharya

2015

Landslides

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Landslides triggered by moderate to major earthquakes are a recognized seismic hazard. Arias Intensity (I a ) is a key intensity measure of the ground motion, but significant duration is widely used to define strong motion duration. We calculate Newmark's displacements using earthquake records bracketing a broad range of Arias Intensity and significant duration employing Newmark's rigid block method and a number of yield accelerations. Total landslide displacement increases with the increase in the energy content of the ground motion (I a ) above a threshold. Such threshold may be expressed as a function of yield acceleration of the slope regardless of the ground motion characteristics. Newmark displacement decreases with increasing duration for earthquakes with similar energy content. The wide scatter in the results converges when using formal dimensional analysis. Selfsimilar symmetry may facilitate the assessment of the performance of slopes during earthquakes. The mathematical framework for probabilistic determination of landslides displacement may be a useful aid to estimate the likelihood of landslide hazards provided that the geotechnical properties of the slopes are known.

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“…where D N is in centimeters, I a is in meters per second, a c is in terms of g. Jibson et al (1998Jibson et al ( , 2000 modified the form of this equation to make all terms logarithmic and then performed rigorous analyses on 555 strong-motion records from 13 earthquakes for the same a c values as indicated for Eq. 2 to generate the following regression equation: log D N ¼ 1:521 log I a À 1:993 log a c À 1:546 AE 0:375…”

Section: State Of the Artmentioning

confidence: 99%

A new empirical estimator of coseismic landslide displacement for Zagros Mountain region (Iran)

et al. 2011

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Earthquake-induced landslides are responsible worldwide for significant socioeconomic losses and historically have a prominent position in the list of natural hazards affecting the Iran plateau. As a step toward the development of tools for the assessment and the management of this kind of hazard at regional scale, an empirical estimator of coseismic displacements along potential sliding surfaces was obtained through a regression analysis for the Zagros region, a mountainous Iranian region subjected to earthquake-induced landslides. This estimator, based on the Newmark’s model, allows to evaluate the expected permanent displacement (named ‘‘Newmark displacement’’) induced by seismic shaking of defined energy on potential sliding surface characterized by a given critical acceleration. To produce regression models for Newmark displacement estimators, a data set was constructed for different critical acceleration values on the basis of 108 accelerometric recordings from 80 Iranian earthquakes with moment magnitudes between 3.6 and 7. The empirical estimator has a general form, proposed by Jibson (Eng Geol 91:209–218, 2007), relating Newmark displacement to Arias intensity (as parameter representing the energy of the seismic forces) and to critical acceleration (as parameter representing the dynamic shear resistance of the sliding mass). As an example of application, this relation was employed to provide a basic document for earthquake-induced landslide hazard assessment at regional scale, according to a method proposed by Del Gaudio et al. (Bull Seismol Soc Am 93:557–569, 2003), applied to the whole Iranian territory, including Zagros region. This method consists in evaluating the shear resistance required to slopes to limit the occurrence of seismically induced failures, on the basis of the Newmark’s model. The obtained results show that the exposure to landslide seismic induction is maximum in the Alborz Mountains region, where critical accelerations up to *0.1 g are required to limit the probability of seismic triggering of coherent type landslides within 10% in 50 years

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A method for producing digital probabilistic seismic landslide hazard maps: An example from the Los Angeles, California, area

Cited by 156 publications

References 6 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

Influence of strong motion characteristics on permanent displacement of slopes

A new empirical estimator of coseismic landslide displacement for Zagros Mountain region (Iran)

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