Analysis of foreshock sequence of the 1975 Haicheng earthquake ofM S 7.3

1995 ◽  
Vol 8 (4) ◽  
pp. 607-614 ◽  
Author(s):  
Zhao-Rong Zuo ◽  
Jian-Ping Wu ◽  
Zhi-Ling Wu
Keyword(s):  
Haicheng Earthquake

The foreshock sequence of the February 4, 1975, Haicheng Earthquake (M = 7.3)

1982 ◽  
Vol 87 (B6) ◽  
pp. 4575-4584 ◽  
Author(s):  
Lucile M. Jones ◽  
Biquan Wang ◽  
Shaoxie Xu ◽  
Thomas J. Fitch
Keyword(s):  
Haicheng Earthquake

Reply [to Comment on “Prediction of the Haicheng Earthquake”]

Eos ◽  
1978 ◽  
Vol 59 (1) ◽  
pp. 2 ◽  
Author(s):  
Carl Kisslinger
Keyword(s):  
Haicheng Earthquake

The foreshock sequence of haicheng earthquake and earthquake swarm—the use of foreshock sequences in earthquake prediction

1982 ◽  
Vol 85 (1-2) ◽  
pp. 91-105 ◽  
Author(s):  
Shaoxie Xu ◽  
Biquan Wang ◽  
Lucille M Jones ◽  
Xiufang Ma ◽  
Peiwen Shen
Keyword(s):  
Earthquake Prediction ◽  
Earthquake Swarm ◽  
Haicheng Earthquake

Case 2: Foreshocks to the Haicheng earthquake of 1975. Certain characteristics of the Haicheng earthquake (M=7.3) sequence

1991 ◽  
pp. 12-14
Author(s):  
K.-T. Wu ◽  
M.-S. Yue ◽  
H.-Y. Wu ◽  
S.-L. Chao ◽  
H.-T. Chen ◽  
...  
Keyword(s):  
Haicheng Earthquake

Comment [on “Prediction of the Haicheng Earthquake”]

Eos ◽  
1978 ◽  
Vol 59 (1) ◽  
pp. 2 ◽  
Author(s):  
Ian O. Huebsch
Keyword(s):  
Haicheng Earthquake

scholarly journals Revisiting the Predictability of the Haicheng and Tangshan Earthquakes

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1206
Author(s):  
Didier Sornette ◽  
Euan Mearns ◽  
Spencer Wheatley
Keyword(s):  
Lead Time ◽  
Warning System ◽  
Coarse Graining ◽  
Well Water ◽  
Tangshan Earthquake ◽  
Soil Resistivity ◽  
Time Prediction ◽  
Well Water Level ◽  
Haicheng Earthquake ◽  
Water Radon

We analyze a set of precursory data measured before but compiled in retrospect of the MS7.5 Haicheng earthquake in February 1975 and the MS7.6–7.8 Tangshan earthquake in July 1976. We propose a robust and simple coarse-graining method that aggregates and counts how all the anomalies together (levelling, geomagnetism, soil resistivity, earth currents, gravity, earth stress, well water radon, well water level) develop as a function of time. We demonstrate strong evidence for the existence of an acceleration of the number of anomalies leading up to the major Haicheng and Tangshan earthquakes. In particular for the Tangshan earthquake, the frequency of occurrence of anomalies is found to be well described by the log-periodic power law singularity (LPPLS) model, previously proposed for the prediction of engineering failures and later adapted to the prediction of financial crashes. Using a mock real-time prediction experiment and simulation study, based on this methodology of monitoring accelerated rates of physical anomalies measured at the surface, we show the potential for an early warning system with a lead time of a few days.

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