scholarly journals Evaluation of hypocenter location techniques with applications to southern Utah: regional earthquake distributions and seismicity of geothermal areas

1979 ◽  
Author(s):  
D.J. Wechsler ◽  
R.B. Smith
Keyword(s):  
Hypocenter Location ◽  
Regional Earthquake

Development of an automatic hypocenter location system for the earthquake early warning in Japan

2007 ◽  
Vol 60 (5) ◽  
pp. 399-406
Author(s):  
Shigeki Horiuchi ◽  
Aya Kamimura ◽  
Hiromitsu Nakamura ◽  
Shunroku Yamamoto ◽  
Changjiang Wu
Keyword(s):  
Early Warning ◽  
Earthquake Early Warning ◽  
Location System ◽  
Hypocenter Location

scholarly journals Implications of the Regional Earthquake Likelihood Models test of earthquake forecasts in California

2012 ◽  
Vol 2 (2) ◽  
pp. 10 ◽  
Author(s):  
Michael Karl Sachs ◽  
Ya-Ting Lee ◽  
Donald Turcotte ◽  
James R. Holliday ◽  
John B. Rundle
Keyword(s):  
Conditional Probability ◽  
Mean Value ◽  
Test Area ◽  
Test Period ◽  
Future Earthquake ◽  
The Mean ◽  
The One ◽  
Earthquake Likelihood Models ◽  
Regional Earthquake

The Regional Earthquake Likelihood Models (RELM) test was the first competitive comparison of prospective earthquake forecasts. The test was carried out over 5 years from 1 January 2006 to 31 December 2010 over a region that included all of California. The test area was divided into 7682 0.1°x0.1° spatial cells. Each submitted forecast gave the predicted numbers of earthquakes <em>N<sub>emi</sub></em> larger than <em>M</em>=4.95 in 0.1 magnitude bins for each cell. In this paper we present a method that separates the forecast of the number of test earthquakes from the forecast of their locations. We first obtain the number <em>N<sub>em</sub></em> of forecast earthquakes in magnitude bin <em>m</em>. We then determine the conditional probability <em>λ<sub>emi</sub></em>=<em>N<sub>emi</sub>/</em><em>N<sub>em</sub></em> that an earthquake in magnitude bin <em>m</em> will occur in cell <em>i</em>. The summation of <em>λ<sub>emi</sub></em> over all 7682 cells is unity. A random (no skill) forecast gives equal values of <em>λ<sub>emi</sub></em> for all spatial cells and magnitude bins. The <em>skill</em> of a forecast, in terms of the location of the earthquakes, is measured by the success in assigning large values of <em>λ<sub>emi</sub></em> to the cells in which earthquakes occur and low values of <em>λ<sub>emi</sub></em> to the cells where earthquakes do not occur. Thirty-one test earthquakes occurred in 27 different combinations of spatial cells <em>i</em> and magnitude bins <em>m</em>, we had the highest value of <em>λ<sub>emi</sub></em> for that <em>mi</em> cell. We evaluate the performance of eleven submitted forecasts in two ways. First, we determine the number of <em>mi</em> cells for which the forecast <em>λ<sub>emi</sub></em> was the largest, the best forecast is the one with the highest number. Second, we determine the mean value of <em>λ<sub>emi</sub></em> for the 27 <em>mi</em> cells for each forecast. The best forecast has the highest mean value of <em>λ<sub>emi</sub></em>. The success of a forecast during the test period is dependent on the allocation of the probabilities λemi between the mi cells, since the sum over the mi cells is unity. We illustrate the forecast distributions of <em>λ<sub>emi</sub></em> and discuss their differences. We conclude that the RELM test was successful in illustrating the choices required when a forecast of the location of a future earthquake is made.

scholarly journals Comparing the performance of regional earthquake early warning algorithms in Europe

2020 ◽  
Author(s):  
Elisa Zuccolo ◽  
Gemma Cremen ◽  
Carmine Galasso ◽  
Dirk Roessler
Keyword(s):  
Early Warning ◽  
Earthquake Early Warning ◽  
Regional Earthquake

Dynamic models of earthquakes on the North Anatolian fault zone under the Sea of Marmara: Effect of hypocenter location

2008 ◽  
Vol 35 (18) ◽  
Author(s):  
David D. Oglesby ◽  
P. Martin Mai ◽  
Kuvvet Atakan ◽  
Stefano Pucci
Keyword(s):  
Fault Zone ◽  
Dynamic Models ◽  
North Anatolian Fault ◽  
Sea Of Marmara ◽  
North Anatolian Fault Zone ◽  
Hypocenter Location ◽  
The North

scholarly journals Estimates of Lithospheric Failure Cycle Parameters from Regional Earthquake Catalogues

2019 ◽  
Vol 55 (5) ◽  
pp. 701-718
Author(s):  
V. B. Smirnov ◽  
S. Ommi ◽  
M. G. Potanina ◽  
V. O. Mikhailov ◽  
A. G. Petrov ◽  
...  
Keyword(s):  
Earthquake Catalogues ◽  
Failure Cycle ◽  
Regional Earthquake

scholarly journals Paleoseismology of the southern Panamint Valley fault: Implications for regional earthquake occurrence and seismic hazard in southern California

2013 ◽  
Vol 118 (9) ◽  
pp. 5126-5146 ◽  
Author(s):  
Lee J. McAuliffe ◽  
James F. Dolan ◽  
Eric Kirby ◽  
Chris Rollins ◽  
Ben Haravitch ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Southern California ◽  
Earthquake Occurrence ◽  
Regional Earthquake
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