利用遠距沙堆模型探討特徵地震之準週期性; Quasi-Periodicity of the Characteristic Events in the Long-Range Connective Sandpile Models and Implications for Natural Faults

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Title:	利用遠距沙堆模型探討特徵地震之準週期性;Quasi-Periodicity of the Characteristic Events in the Long-Range Connective Sandpile Models and Implications for Natural Faults
Authors:	莊雅婷;Chuang,Ya-ting
Contributors:	地球科學學系
Keywords:	遠距沙堆模型;再現週期;特徵事件;LRCS model;characteristic event
Date:	2013-07-10
Issue Date:	2013-08-22 11:44:02 (UTC+8)
Publisher:	國立中央大學
Abstract:	Chen et al.於2008年以具有自組織臨界概念的BTW沙堆模型(Bak et al., 1987, 1988)為基礎，引入了遠距離地震觸發事件的概念於模型中，提出了遠距沙堆模型(Long range connective sandpile model)。Chen et al.利用遠距沙堆模型中，沙崩事件的資料計算其頻率與大小的分布，並且發現沙崩事件的大小與其發生的頻率呈冪次(power law)關係，而此冪次關係所得到的冪次指數以「B」值表示。Chen et al.也計算赫斯特指數H值，並且觀察到在大沙崩事件發生之前，會有B值遞減以及H值遞增的現象。探討遠距沙堆模型中，在不同系統大小(L)的情況下，B值遞減以及H值遞增的週期(T_p)，本研究發現，B值以及H值的週期與不同的系統大小(L)會有一冪次關係(power law)，T_p?L^2。此關係式可以表現遠距沙堆模型中，特徵事件的再現週期與系統大小(L)有冪次行為。 Lee et al. propose a negative correlation between power-law scaling and Hurst exponents from avalanche events in LRCS model. We calculate the period by using the negative correlation between power-law scaling and Hurst exponents. Before the large avalanche occurs, it has the precursory phenomenon of the B value of power-law scaling decreasing while the H value of Hurst exponent increasing. We define the large avalanche event having the precursory phenomenon is characteristic event. Calculating the period of the characteristic events, we can find the power law behavior between the system size(L) and the period of the characteristic events. Then we conduct the relationship by using finite size scaling.
Appears in Collections:	[Graduate Institute of Geophysics] Electronic Thesis & Dissertation

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