English  |  正體中文  |  简体中文  |  Items with full text/Total items : 68069/68069 (100%)
Visitors : 23216751      Online Users : 196
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50540


    Title: Pattern informatics approach to earthquake forecasting in 3D
    Authors: Toya,Y;Tiampo,KF;Rundle,JB;Chen,CC;Li,HC;Klein,W
    Contributors: 地球科學系
    Keywords: SUMATRA-ANDAMAN EARTHQUAKE;SOUTHERN CALIFORNIA;THRESHOLD SYSTEMS;SEISMICITY;DYNAMICS;MODEL;COMPLETENESS;VERIFICATION;RELOCATION;MAGNITUDE
    Date: 2010
    Issue Date: 2012-03-27 17:36:26 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Natural seismicity is correlated across multiple spatial and temporal scales, but correlations in seismicity prior to a large earthquake are locally subtle (e.g. seismic quiescence) and often prominent in broad scale (e.g. seismic activation), resulting in local and regional seismicity patterns, e.g. a Mogi's donut. Recognizing that patterns in seismicity rate are reflecting the regional dynamics of the directly unobservable crustal stresses, the Pattern Informatics (PI) approach was introduced by Tiampo et al. and Rundle et al. in 2002. In this study, we expand the PI approach to forecasting earthquakes into the third or vertical dimension, and illustrate its further improvement in the forecasting performance through case studies of both natural and synthetic data. The PI characterizes rapidly evolving spatio-temporal seismicity patterns as angular drifts of a unit state vector in a high-dimensional correlation space, and systematically identifies anomalous shifts in seismic activity with respect to the regional background. 3D PI analysis is particularly advantageous over 2D analysis in resolving vertically overlapped seismicity anomalies in a highly complex tectonic environment. Case studies will help to illustrate some important properties of the PI forecasting tool. Copyright (c) 2009 John Wiley & Sons, Ltd.
    Relation: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
    Appears in Collections:[地球科學學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML554View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明