Imminent Earthquake Forecasting on the Basis of Japan INTERMAGNET Stations, NEIC, NOAA and Tide Code Data Analysis

S. Mavrodiev
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引用次数: 4

Abstract

This research presents one possible way for imminent prediction of earthquakes’ magnitude, depth and epicenter coordinates by solving the inverse problem using a data acquisition network system for monitoring, archiving and complex analysis of geophysical variables-precursors. Among many possible precursors the most reliable are the geoelectromagnetic field, the boreholes water level, radon earth-surface concentration, the local heat flow, ionosphere variables, low frequency atmosphere and Earth core waves. The title demonstrates that only geomagnetic data are used in this study. Within the framework of geomagnetic quake approach it is possible to perform an imminent regional seismic activity forecasting on the basis of simple analysis of geomagnetic data which use a new variable SChtM with dimension surface density of energy. Such analysis of Japan Memambetsu, Kakioka, Kanoya INTERMAGNET stations and NEIC earthquakes data, the hypothesis that the “predicted” earthquake is this with biggest value of the variable SChtM permits to formulate an inverse problem (overdetermined algebraic system) for precursor’s signals like a function of earthquake’s magnitude, depth and distance from a monitoring point. Thus, in the case of data acquisition network system existence, which includes monitoring of more than one reliable precursor variables in at least four points distributed within the area with a radius of up to 700 km, there will be enough algebraic equations for calculation of impending earthquake’s magnitude, depth and distance, solving the overdetermined algebraic system.
基于日本INTERMAGNET台站、NEIC、NOAA和潮汐码数据分析的临震预报
本研究提出了一种可能的方法,即将预测地震的震级,深度和震中坐标通过解决反问题,利用数据采集网络系统的监测,存档和复杂的分析地球物理变量-前兆。在许多可能的前兆中,最可靠的是地球电磁场、钻孔水位、地表氡浓度、局部热流、电离层变量、低频大气和地核波。标题表明,本研究仅使用地磁数据。在地磁地震方法的框架内,通过对地磁资料进行简单分析,利用具有能量面密度维数的新变量SChtM,可以对即将发生的区域地震活动进行预测。通过对日本Memambetsu, Kakioka, Kanoya INTERMAGNET台站和NEIC地震数据的分析,假设“预测”地震是变量SChtM值最大的地震,可以对地震震级,深度和与监测点距离的函数等前兆信号制定逆问题(超定代数系统)。因此,在数据采集网络系统存在的情况下,包括在半径达700公里的区域内分布的至少四个点上监测一个以上可靠的前兆变量,将有足够的代数方程来计算即将发生的地震的震级,深度和距离,解决超定的代数系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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