摘要
利用一种非线性方法——遗传算法,对到时残差,即观测到时与理论到时之差进行最小值求解,得到由于台站分布不均匀导致非包围地震事件的定位结果,再利用MSDP中的单纯形定位法得到非包围地震事件定位结果,将2种定位结果分别与编目结果进行对比。结果表明,遗传算法定位的结果更加接近编目结果,发震时刻、震中位置2个参数更为精确,从而提高了非包围地震事件定位精度。
By using a nonlinear method-genetic algorithm, the residual error, that is, the difference be- tween the observed time and the theoretical time, is solved by genetic algorithm to obtain the results of non - enclosed seismic events, which is due to uneven distribution of stations. At the same time, we use the simplex method in MSDP to get the results of non-enclosed seismic events. The two location results were compared respectively with cataloging results. The results show that the genetic algorithm is more close to the result of the catalogue, and the two parameters of the earthquake time and the epicentral loca- tion are more accurate, so that the positioning accuracy of the non-enclosed seismic event is improved.
出处
《华北地震科学》
2017年第2期43-47,共5页
North China Earthquake Sciences
基金
中国地震局地震科技星火计划(XH16017Y)
安徽省地震局科研合同制课题(201506)
关键词
定位精度
遗传算法
目标函数
非包围地震
positioning accuracy, genetic algorithm, objective function, non-enclosed earthquake
