Statistical Short-Term Earthquake Prediction
- 19 June 1987
- journal article
- other
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 236 (4808) , 1563-1567
- https://doi.org/10.1126/science.236.4808.1563
Abstract
A statistical procedure, derived from a theoretical model of fracture growth, is used to identify a foreshock sequence while it is in progress. As a predictor, the procedure reduces the average uncertainty in the rate of occurrence for a future strong earthquake by a factor of more than 1000 when compared with the Poisson rate of occurrence. About one-third of all main shocks with local magnitude greater than or equal to 4.0 in central California can be predicted in this way, starting from a 7-year database that has a lower magnitude cut off of 1.5. The time scale of such predictions is of the order of a few hours to a few days for foreshocks in the magnitude range from 2.0 to 5.0.Keywords
This publication has 12 references indexed in Scilit:
- Random stress and earthquake statistics: time dependenceGeophysical Journal International, 1987
- A Model for a Seismic Computerized Alert NetworkScience, 1985
- Some examples of statistical estimation applied to earthquake dataAnnals of the Institute of Statistical Mathematics, 1982
- Stochastic model of earthquake fault geometryGeophysical Journal International, 1982
- Maximum likelihood estimation of Hawkes' self-exciting point processesAnnals of the Institute of Statistical Mathematics, 1979
- Statistical study of the occurrence of shallow earthquakesGeophysical Journal International, 1978
- On the entropy rate of stationary point processes and its discrete approximationProbability Theory and Related Fields, 1978
- Earthquake prediction - a statistician's view.Journal of Physics of the Earth, 1978
- Earthquake risk prediction as a stochastic processPhysics of the Earth and Planetary Interiors, 1977
- Regular point processes and their detectionIEEE Transactions on Information Theory, 1972