IMECH-IR  > 非线性力学国家重点实验室
 量纲分析应用于地震预测的探索 Alternative Title Exploration study of dimension analysis applying to earthquake prediction 刘月; 尹祥础; 袁帅; 张浪平; Liu, Y; Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China. Source Publication 地球物理学报=Chinese Journal of Geophysics- Chinese Edition 2012-09-22 Volume 55Issue:9Pages:3043-3050 ISSN 0001-5733 Abstract 加卸载响应比(LURR)的基本思路是希望能够通过刻画震源区介质的损伤程度,反映地震孕育的进程,从而预测地震.近30年来,很多人对加卸载响应比做了大量基础研究,取得了一系列新的进展.加卸载响应比在地震预测实践中也取得了一定的效果,异常区与地震发生的位置有较好的对应性,但是预测效果仍不够理想.究其原因主要是:在实际预测中对当地的地球物理情况考虑的不够.本文采用量纲分析与加卸载响应比结合的方法,综合考虑当地的地球物理情况,例如剪应变率和平均地震波能量等因素的影响.文中选取1970年以来发生在中国大陆的34个震例资料,通过分析得到了与发震震级和时间相关的无量纲量π1和π3,根据对实际数据的拟合,π1和π3均与震级成指数关系.在应用于地震预测实践时,首先根据LURR空间扫描结果选取异常区,然后确定异常区的地球物理参数,通过π1确定震级M,再由π3确定发震时间T. Other Abstract The Load/Unload Response Ratio (LURR) theory is a new method in earthquake prediction. LURR is defined as the medium's response to loading divided by the response to unloading. For the earth medium, the earth tide provides a natrual way to load and unload. Benioff strain is selected as the response quantity. Through space-time scanning in Chinese mainland as well as other regions, the abnormal region where an earthquake may occur can be got. Then we hope the LURR in the abnormal rigon can reflect the preparation process of earthquake through depicting the damage of seismogenic zone, and then predict earthquake. It's about thirty years since LURR was put forward. These years many people have done a series research on LURR, and have got some achievements. In practice of earthquake prediction, LURR has achieved success to some extent. Many earthquakes occurred in the abnormal zones from LURR's space-time scanning. But the result is not as good as we wished, the main reason is that we don't consider the geophysical condition enough. In this paper, we conbine dimensional analysis with LURR method, considering the local geophysical condition, for example the shear strain rate and the average seismic wave energy etc. Using the data of 34 seismic cases which occured in Chinese mainland since 1970, we obtain two dimensionless quantities pi(1) and pi(3) related with the earthquake magnitude and occurrence time. Through the process of data fitting, the relationships between pi(1) and magnitude and between pi(3) and occurrence time have been obtained. Applying the result to earthquake prediction, we should determine the seismogenic zone according to LURR's spce-time scanning result at first;then after determining the geophysical parameters of the specific seismogenic zone, we can get the magnitude and the the occurrence time for the future earthquake through pi(1) and pi(3) separately. Subject Area 固体力学 DOI 10.6038/j.issn.0001-5733.2012.09.022 URL 查看原文 Indexed By SCI ; CSCD Language 中文 WOS ID WOS:000309628400022 WOS Keyword UNLOAD RESPONSE RATIO ; LURR THEORY WOS Research Area Geochemistry & Geophysics WOS Subject Geochemistry & Geophysics Funding Organization 国家自然科学基金“材料强度及灾变的跨尺度力学研究”创新群体项目(11021262);中国科学院“十一五”信息化专项"超级计算环境建设与应用(INFO-115-B01);中国地震局地震预测研究所基本科研业务专项(02092425)资助 CSCD ID CSCD:4650410 Citation statistics Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS] Document Type 期刊论文 Identifier http://dspace.imech.ac.cn/handle/311007/46734 Collection 非线性力学国家重点实验室 Corresponding Author Liu, Y; Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China. Recommended CitationGB/T 7714 刘月,尹祥础,袁帅,等. 量纲分析应用于地震预测的探索[J]. 地球物理学报=Chinese Journal of Geophysics- Chinese Edition,2012,55(9):3043-3050. APA 刘月,尹祥础,袁帅,张浪平,Liu, Y,&Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China..(2012).量纲分析应用于地震预测的探索.地球物理学报=Chinese Journal of Geophysics- Chinese Edition,55(9),3043-3050. MLA 刘月,et al."量纲分析应用于地震预测的探索".地球物理学报=Chinese Journal of Geophysics- Chinese Edition 55.9(2012):3043-3050.
 Files in This Item: Download All File Name/Size DocType Version Access License SCI-J2012-226.pdf（2092KB） 开放获取 -- View Download
 Related Services Recommend this item Bookmark Usage statistics Export to Endnote Google Scholar Similar articles in Google Scholar [刘月]'s Articles [尹祥础]'s Articles [袁帅]'s Articles Baidu academic Similar articles in Baidu academic [刘月]'s Articles [尹祥础]'s Articles [袁帅]'s Articles Bing Scholar Similar articles in Bing Scholar [刘月]'s Articles [尹祥础]'s Articles [袁帅]'s Articles Terms of Use No data! Social Bookmark/Share
 File name: SCI-J2012-226.pdf Format: Adobe PDF
This file does not support browsing at this time

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.