第比利斯国立大学极低频辐射研究网(ELFTSU网):网络运行的地震触发和同步概念

L. Gheonjian, T. Paatashvili, M. Oragvelidze, P. Tsotskolauri
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引用次数: 1

摘要

本文描述了支持第比利斯国立大学ELF监测网创建倡议的科学概念的实验室模型。本项目涉及高加索和安纳托利亚-伊朗高原构造断裂系统密集ELF网络的持续发展,以观测地震形式累积构造能量释放前后一些物理变量的临界状态。地球地震过程的主要特征表明,地震应归因于自组织临界现象。根据这种表述,地震或断层的能量释放是由整个系统发展决定的不可预测的现象。但是阴阳张力调制同步了触发时刻。高加索地区的地震统计表明,放电有利时间间隔是可计算的。如果监测系统中某些物理变量的演化和临界状态,就可以尝试预测地震发生的概率和强度。这表明了一类临界条件参数调制的自组织临界现象的存在性。这类现象应在实验室模型上进行研究。这个模型可以作为创建自我批判的部分可预测性概念的基础。我们描述了临界参数调制实验的模型和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tbilisi State University Extremely Low Frequency Radiation Research Net (ELFTSU Net): Earthquake Triggering and Synchronization Concept for the Net Operation
This paper represents the laboratory model supporting the scientific concept of Tbilisi State University ELF monitoring net creation initiative. The project concerns the consistent development of a dense ELF network for Caucasus and Anatolian-Iranian Plateau tectonic faults system to observe the critical state of some physical variables before and after of accumulated tectonic energy discharge in earthquake form. The main characteristics of the Earth’s seismic process show that earthquakes should be attributed to phenomena of self-organizing criticality. In accordance with this representation, an earthquake, or the energy discharge of fault, is an unpredictable phenomenon determined by entire system development. But luni-solar tension modulation synchronizes the triggering moments. Earthquake statistics of Caucasus demonstrates that discharge favorable time intervals are computable. One can try to predict earthquakes occurrence probability and power if monitors the evolution and critical state of some physical variables of the system. This indicates the existence of a class of phenomena of self-organized criticality with parametric modulation of criticality conditions. This class of phenomena should be investigated on the laboratory model. This model can serve as a basis for creating an idea of partial predictability of self-criticality. We represent the model and the results of criticality parametric modulation experiments.
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