Widespread landslides induced by the Mw 5.1 earthquake of 11 May 2011 in Lorca, SE Spain

Alfaro, P.; Delgado, José; García-Tortosa, Francisco J.; Lenti, Luca; Lopez, John A.; López-Casado, C.; Martino, Salvatore

doi:10.1016/j.enggeo.2012.04.002

Cited by 76 publications

(47 citation statements)

References 49 publications

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“…These 83 cases have been harvested from published compilations (Keefer, 1984;Hancox et al, 1997;Rodriguez et al, 1999;Bommer and Rodriguez, 2002;Martino et al, 2014) and from recent landslide maps (Table 1). They include the 10 cases with comprehensive landslide inventories described separately below, 36 inventories for which we could access one or several maps with isolines of landslides density or point inventories to check the values reported in published compilations (Bonilla, 1960;Keefer et al, 1980;Harp et al, 1984;Harp and Keefer, 1990;Jibson et al, 1994;Tibaldi et al, 1995;Hancox et al, 1997;Keefer and Manson, 1998;Hancox et al, 2003Hancox et al, , 2004Jibson and Harp, 2006;Mahdavifar et al, 2006;Sato et al, 2007;Kamp et al, 2008;Mosquera-Machado et al, 2009;Alfaro et al, 2012;Collins et al, 2012;Jibson and Harp, 2012;Gorum et al, 2014;Martino et al, 2014;Xu et al, 2014aXu et al, , b, 2015Martha et al, 2016;Zhou et al, 2016), and a further 37 cases for which we could not access any raw data to evaluate the reported values (Table 1). For 10 earthquakes, detailed landslide inventories with comprehensive maps of the landslide as polygons are available, allowing an objective characterization of A d (as discussed below): the 1976 Guatemala, 1991Limon, 1993Finisterre, 1994Northridge, 1999Chi-Chi, 2004…”

Section: Landslide Maps and Compilations Of Landslide Distribution Areamentioning

confidence: 99%

Prediction of the area affected by earthquake-induced landsliding based on seismological parameters

Marc

Meunier

Hovius

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. We present an analytical, seismologically consistent expression for the surface area of the region within which most landslides triggered by an earthquake are located (landslide distribution area). This expression is based on scaling laws relating seismic moment, source depth, and focal mechanism with ground shaking and fault rupture length and assumes a globally constant threshold of acceleration for onset of systematic mass wasting. The seismological assumptions are identical to those recently used to propose a seismologically consistent expression for the total volume and area of landslides triggered by an earthquake. To test the accuracy of the model we gathered geophysical information and estimates of the landslide distribution area for 83 earthquakes. To reduce uncertainties and inconsistencies in the estimation of the landslide distribution area, we propose an objective definition based on the shortest distance from the seismic wave emission line containing 95 % of the total landslide area. Without any empirical calibration the model explains 56 % of the variance in our dataset, and predicts 35 to 49 out of 83 cases within a factor of 2, depending on how we account for uncertainties on the seismic source depth. For most cases with comprehensive landslide inventories we show that our prediction compares well with the smallest region around the fault containing 95 % of the total landslide area. Aspects ignored by the model that could explain the residuals include local variations of the threshold of acceleration and processes modulating the surface ground shaking, such as the distribution of seismic energy release on the fault plane, the dynamic stress drop, and rupture directivity. Nevertheless, its simplicity and first-order accuracy suggest that the model can yield plausible and useful estimates of the landslide distribution area in near-real time, with earthquake parameters issued by standard detection routines.

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Section: Landslide Maps and Compilations Of Landslide Distribution Areamentioning

confidence: 99%

Prediction of the area affected by earthquake-induced landsliding based on seismological parameters

Marc

Meunier

Hovius

2017

Nat. Hazards Earth Syst. Sci.

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“…Similarly, some inventories of landslides triggered by the Haiti earthquake were also constructed for coseismic landslide spatial distribution analysis and hazard analysis Gorum et al 2013;Harp et al 2011b). The June 14, 2008 Iwate-Miyagi Nairiku earthquake triggered at least 4,161 landslides (Yagi et al 2009), and the May 11, 2011 Mw 5.1 Lorca, SE Spain earthquake triggered more than 250 landslides (Alfaro et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

et al. 2013

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“…With this aim, five accelerometric records of 11 May 2011 for the Lorca earthquake mainshock were considered, as recorded by the stations ALM, ZAR, VLR, CIE and OLU of the Spanish Strong Ground Motion Network, with distances from the epicenter up to 100 km and azimuthal locations between 313 • and 16 • (Table 3). It is worth noting that the record available from the Lorca (LRC) accelerometric station was excluded because it amplified in the range 1.5-3 Hz for the N-S component and in the range 1.5-2 Hz for the W-E component, as discussed by Alfaro et al (2012).…”

Section: Triggering Input From the Recorded Accelerogramsmentioning

confidence: 99%

“…corresponding to about 8 km distance from the epicenter accelerometric record), a spectral attenuation was specifically processed. This was used because no attenuation law could be regarded as reliable for the studied area (Alfaro et al, 2012). With this aim, five accelerometric records of 11 May 2011 for the Lorca earthquake mainshock were considered, as recorded by the stations ALM, ZAR, VLR, CIE and OLU of the Spanish Strong Ground Motion Network, with distances from the epicenter up to 100 km and azimuthal locations between 313 • and 16 • (Table 3).…”

Section: Triggering Input From the Recorded Accelerogramsmentioning

confidence: 99%

The role of near-field interaction between seismic waves and slope on the triggering of a rockslide at Lorca (SE Spain)

Alfaro

Delgado²,

García-Tortosa³

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. A ∼1000 m 3 rockslide occurred close to Lorca (SE Spain) during the main shock (M w = 5.1) of the May 2011 seismic sequence. The location of the rockslide, within 10 km of the earthquake epicenter and along the southern slope of a valley in which similar geological conditions occur on both slopes of the valley, suggests a significant near-field effect due to local seismic response. This could be related to the specific interaction between the topography and the obliquely propagating seismic waves.A dynamic stress strain numerical model was constructed using the FLAC 7.0 finite difference code to back analyze the Lorca rockslide event and relate its occurrence to both the local seismic amplification and the interaction between seismic waves and local topography. The results indicate that only for seismic waves with incidence angles in the range 0 • -50 • are the occurred slope instabilities expected. These results do not significantly change when varying the values for either stiffness or strength parameters within the range of the experimental data.

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Widespread landslides induced by the Mw 5.1 earthquake of 11 May 2011 in Lorca, SE Spain

Cited by 76 publications

References 49 publications

Prediction of the area affected by earthquake-induced landsliding based on seismological parameters

Prediction of the area affected by earthquake-induced landsliding based on seismological parameters

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

The role of near-field interaction between seismic waves and slope on the triggering of a rockslide at Lorca (SE Spain)

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