【摘要】 发展了传统的经验格林函数方法,将其与遗传算法结合起来用于地震震源谱的研究,以求得较大地震震源谱的高频衰减趋势的斜率。在此基础上先用遗传算法较为精确地搜索出较大地震的拐角频率,再用遗传算法对较大地震的振幅谱因衰减造成的损耗进行补偿,从而确定自震源至地震台传播途径上的介质品质因子Q值,最后给出了利用乌鲁木齐区域遥测数字地震台网资料测定Q值的范例。从计算结果得出乌鲁木齐至北天山一带的乌苏地区地震震源谱的高频衰减趋势满足ω-2形式,Q值在480左右。更多还原

【Abstract】 We developed the traditional Green function method. And combined the genetic algorithms to study the earthquake focus spectrum in order to get the slope of the high-frequency attenuation tendency about the focus spectrum of stronger earthquakes. Based on it, we firstly applied the genetic algorithms to search precisely the frequency of the turning point about stronger earthquakes. Then applied it to compensate the wastage of the amplitude spectrum attenuation. We got the value Q of the quality factor about the media in spread track from the earthquake focus to station. At last, we gave the example of estimating the value Q using the data of remote sensing digital seismometry station net in Urumqi area. According to the calculation result, we got that the tendency of high frequency attenuation about the earthquake spectrum is the form of ω^-2, and that the value Q is 480 or so from Urumqi to Wusu area of north Tianshan mountain.更多还原