Preliminary Report on the 29 July 2008 Mw 5.4 Chino Hills, Eastern Los Angeles Basin, California, Earthquake Sequence

Hauksson, Egill; Felzer, Karen R.; Given, Douglas D.; Giveon, M.; Hough, Susan E.; Hutton, Kate; Kanamori, Hiroo; Sevilgen, Volkan; Wei, Shengji; Yong, Alan

doi:10.1785/gssrl.79.6.855

Cited by 34 publications

(50 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This earthquake was widely felt and reported on (Hauksson et al, 2008). The CAP technique has been used to estimate the focal mechanism and depth (Zhu and Helmberger, 1996).…”

Section: Data Processing and Analysismentioning

confidence: 99%

“…2, dashed lines) in time windows of 60 s around the predicted surface wave travel times. We use the SCEC epicenter location of the earthquake and focal mechanism and depth from Hauksson et al (2008) to calculate the 1D synthetics, assuming the standard SoCal (b) model (Dreger and Helmberger, 1993). For NCFs, a vertical/ tangential point force is placed at the virtual sources on the free surface to calculate the Rayleigh/Love wave synthetics.…”

Section: Data Processing and Analysismentioning

confidence: 99%

“…Here, we will use ASN for the surface-wave calibration, and the wel-calibrated TriNet array for testing, see Figure 1. In particular, we will readdress the wellstudied Chino Hills event (Hauksson et al, 2008). In short, we will use ASN to calibrate paths connecting the Chino Hills event with the TriNet array as a proof-of-concept test.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Earthquake Centroid Locations Using Calibration from Ambient Seismic Noise

Zhan¹,

Wei²,

Ni³

et al. 2011

Bulletin of the Seismological Society of America

Self Cite

View full text Add to dashboard Cite

Earthquakes occur in complex geology, making it difficult to determine their source parameters and locations because of uncertainty in path effects. We can avoid some of these problems by applying the cut-and-paste (CAP) method, which allows for timing shifts between phases, assuming a 1D model, and determines source parameters. If the travel times or lags of the phases due to path effects are known relative to a reference model, we can locate the events' centroid with surface waves without knowledge of the 3D velocity structure. Here, we use ambient seismic noise for such a calibration. We cross correlate the seismic stations near the earthquake with stations 100-300 km away to obtain the 10-100-s surface wave Green's functions. The new method is tested in southern California to locate the 2008 Chino Hills earthquake, which proves consistent with the epicenter location from P waves. It appears possible to use the location offset between the high-frequency P-wave onset relative to the centroid to provide a fast estimate of directivity.Online Material: Cross-correlation time shifts and coefficients, waveform comparisons, and source location with 1D SoCal model and noise calibration.

show abstract

“…This earthquake was widely felt and reported on (Hauksson et al, 2008). The CAP technique has been used to estimate the focal mechanism and depth (Zhu and Helmberger, 1996).…”

Section: Data Processing and Analysismentioning

confidence: 99%

Section: Data Processing and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Earthquake Centroid Locations Using Calibration from Ambient Seismic Noise

Zhan¹,

Wei²,

Ni³

et al. 2011

Bulletin of the Seismological Society of America

Self Cite

View full text Add to dashboard Cite

show abstract

“…These location errors (e q ) describe the spread of triggered events in the forecasting procedure. In Table 1 we display the forecast for the area surrounding the recent Chino Hills, CA earthquake (2008/07/29 m 5.4, HAUKSSON et al, 2008). According to the PDE temporary catalog, its coordinates were 33.734°N, 117.906°W, depth 13 km.…”

Section: Forecastmentioning

confidence: 99%

Short- and Long-Term Earthquake Forecasts for California and Nevada

Kagan

Jackson

2010

Pure Appl. Geophys.

View full text Add to dashboard Cite

Abstract-We present estimates of future earthquake rate density (probability per unit area, time, and magnitude) on a 0.1-degree grid for a region including California and Nevada, based only on data from past earthquakes. Our long-term forecast is not explicitly time-dependent, but it can be updated at any time to incorporate information from recent earthquakes. The present version, founded on several decades worth of data, is suitable for testing without updating over a five-year period as part of the experiment conducted by the Collaboratory for Study of Earthquake Predictability (CSEP). The short-term forecast is meant to be updated daily and tested against similar models by CSEP. The short-term forecast includes a fraction of our long-term one plus time-dependent contributions from all previous earthquakes. Those contributions decrease with time according to the Omori law: proportional to the reciprocal of the elapsed time. Both forecasts estimate rate density using a radially symmetric spatial smoothing kernel decreasing approximately as the reciprocal of the square of epicentral distance, weighted according to the magnitude of each past earthquake. We made two versions of both the long-and shortterm forecasts, based on the Advanced National Seismic System (ANSS) and Preliminary Determinations of Epicenters (PDE) catalogs, respectively. The two versions are quite consistent, but for testing purposes we prefer those based on the ANSS catalog since it covers a longer time interval, is complete to a lower magnitude threshold and has more precise locations. Both forecasts apply to shallow earthquakes only (depth 25 km or less) and assume a tapered Gutenberg-Richter magnitude distribution extending to a lower threshold of 4.0.

show abstract

“…Any number of recent studies (e.g., Atkinson and Wald, 2006;Hauksson et al, 2008) have shown that intensities can provide an extremely reliable and useful indication of ground motions. Intensity assignments for historical earthquakes cannot, of course, rival the reliability of those determined by the "Did You Feel It" algorithm, which can be constrained by hundreds or even thousands of accounts.…”

mentioning

confidence: 99%