A discussion on the application ofb-value to the prediction of seismic tendency

Wu, Zhongliang

doi:10.1007/bf02718066

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Negative correlation between b and H in observational earthquake time series was already observed [15,[17][18][19], but in the present study we calculate these two parameters for the avalanche series in the Long-Range Connective Sandpile (LRCS) model and for the real seismicity occurred in Italy, confirming the negative correlation between them in both cases (hereafter we will use b for real earthquake data, and B for the LRCS model).…”

supporting

confidence: 81%

Negative correlation between frequency-magnitude power-law exponent and Hurst coefficient in the Long-Range Connective Sandpile model for earthquakes and for real seismicity

Lee

Telesca

Chen

2012

EPL

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The Long-Range Connective Sandpile (LRCS) model was applied to the Italian seismicity. The Hurst exponent and the power-law slope of the frequency-size distributions for the avalanches in the LRCS model and for earthquakes in Italy are investigated. This study shows the transition of the correlation coefficient between b and H values with different calculation window length. The result shows similar behaviors in the LRCS model and the Italy catalogue. The negative correlation between b and H values can be clearly seen when an appropriate window length is employed for various time series. We suggest that the negative relationship is caused by the increasing correlation length as the system accumulates enough energy. Also the calculation window length is an important index to display the intensity of the negative correlation between these two exponents. The appropriate window length can be related to the period time for the avalanches with various sandpile and seismicity time series.

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supporting

confidence: 81%

Negative correlation between frequency-magnitude power-law exponent and Hurst coefficient in the Long-Range Connective Sandpile model for earthquakes and for real seismicity

Lee

Telesca

Chen

2012

EPL

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“…On the basis of the fractional Brownian motion (fBm), Voss [1989] presented the correlation between the H and the spectral density exponent β , i.e., β = 2 H + 1. By transforming spectral densities S ( f ) and frequency f to seismic moment E and number of events N ( E ), respectively, Wu [2001] yielded the power‐law frequency‐size distribution N ( E ) ∼ E − B and the relation of B = 1/ β . Consequently an inverse correlation, looked like the negative correlation, between H and B could be obtained.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Precursory phenomena associated with large avalanches in the long‐range connective sandpile model II: An implication to the relation between the b‐value and the Hurst exponent in seismicity

Lee

Chen

Hasumi

et al. 2009

Geophysical Research Letters

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[1] We analyze the Hurst exponent H and a power-law exponent B obtained from frequency-size distributions of avalanche events in the long-range connective sandpile (LRCS) model and study the relation between those two exponents. The LRCS model is introduced by considering the random distant connection between two separated cells. We find that the B-values typically reduce prior to large avalanches while the H-values increase. Both parameters appear precursory phenomena prior to large avalanche events. Most importantly, we show that the LRCS model can demonstrate an interesting negative correlation between the B-and H-values, which has been frequently implied in observations of seismicity and firstly verified in our present simulations.

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“…In recent years, as the research continuously delve into b-value and the application range was continuously enlarged, the function of b-value in the aspect of earthquake prediction has gradually appeared; particularly after Tang Shan earthquake, people has done deep research into b-value, and they has probed the variation discipline of b-value of where nearby the epicenter before the earthquake, through large quantities of earthquake cases [3,4]; they has come up with using time and space scanning toward b-value to distinguish the dangerous zones that breed the strong earthquake [5]; it is thus clear that the space and time scanning toward b-value is meaningful to the extended forecast of strong earthquake [6].…”

Section: Introductionmentioning

confidence: 99%

Judge the Possible Areas in Eastern Part of Inner Mongolia where Strong Earthquakes Occur in the Future by Utilizing b-Value

Han¹,

Deng²,

Hu³

2012

AMR

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The Zhalantun district of eastern part of Inner Mongolia is located at the northern section of Greater Khingan seismic belt, and it has complicated geological structure, with relatively dynamic moderately strong earthquake in past times and modern times. The seismic activities in this district is selected as the research object; based on the integrity analysis toward seismic sequence in the district, least square method is used to conduct time scanning calculation of b-value, and maximum likelihood method is used to conduct space scanning calculation of b-value. The b-value during the time scanning is the mean b-value of research zone in every scanning window, so its amplitude of variation is not quite great, with range of variation of b-value basically staying within 0.78-1.13, and range of error staying within 0.04-0.065. The space scanning results indicate that the space distribution range of b-value of Zhalantun district basically stays within 0.4-1.6, and the range of error is 0.045-0.085. The low b-value zone is the north central section of Alun River breakage, with b-value basically distributed within 0.5-0.7, which indicates that the earth crust medium of this zone is under the state of high horizontal stress accumulation and it is the dangerous zone where moderately strong earthquake or more occurs in the future.

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A discussion on the application ofb-value to the prediction of seismic tendency

Cited by 5 publications

References 18 publications

Negative correlation between frequency-magnitude power-law exponent and Hurst coefficient in the Long-Range Connective Sandpile model for earthquakes and for real seismicity

Negative correlation between frequency-magnitude power-law exponent and Hurst coefficient in the Long-Range Connective Sandpile model for earthquakes and for real seismicity

Precursory phenomena associated with large avalanches in the long‐range connective sandpile model II: An implication to the relation between the b‐value and the Hurst exponent in seismicity

Judge the Possible Areas in Eastern Part of Inner Mongolia where Strong Earthquakes Occur in the Future by Utilizing b-Value

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