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Author:

Li, Jun-Zhi (Li, Jun-Zhi.) | Su, Cheng (Su, Cheng.) | Xia, Ya-Qin (Xia, Ya-Qin.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

As a method of the information forecasting, commensurability information system was mainly applied to studying system characteristics. The difficulty of commensurability information system is the pick-up of commensurable data. This paper adopted the commensurability as module for data partition, and extracted data by the different frequency. According to the commensurability and time order, there are M≥8 earthquakes in Chinese Mainland and M≥7 earthquakes in California. The two methods reached the same goal by different routes. The results show that the series of M≥8 earthquakes in Chinese Mainland and M≥7 earthquakes in California are in a sense rather than fully stochastic.

Keyword:

Information systems Data processing Time series analysis Seismic prospecting Forecasting Earthquake resistance

Author Community:

  • [ 1 ] [Li, Jun-Zhi]Research Institute of Earthquake Prediction, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Su, Cheng]Research Institute of Earthquake Prediction, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Xia, Ya-Qin]Research Institute of Earthquake Prediction, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2007

Issue: 1

Volume: 33

Page: 108-111

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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