神经网络方法在爆炸地震震中定位方面的应用

地震地质 ›› 1999, Vol. 21 ›› Issue (1): 77-82.

神经网络方法在爆炸地震震中定位方面的应用

李学政¹, 何永锋¹, 雷军², 胡毓良²

1. 西北核技术研究所, 西安, 710024;
2. 中国地震局地质研究所, 北京, 100029

收稿日期:1998-04-30 修回日期:1998-09-30 出版日期:1999-03-10 发布日期:2009-11-25

APPLICATION OF THE NEURAL NETWORKS TO THE EPICENTER LOCATING OF EXPLOSION EARTHQUAKES

Li Xuezheng¹, He Yingfeng¹, Lei Jun², Hu Yuliang²

1. Northwest Nuclear Technology Institute, Xi’an 710024;
2. Institute of Geology, China Seismological Bureau Beijing 100029

Received:1998-04-30 Revised:1998-09-30 Online:1999-03-10 Published:2009-11-25

摘要/Abstract

摘要： 地震定位过程中,由于地球介质的不均一性以及台站局部地质条件的复杂性,使震中距和地震波走时呈非线性关系。利用通常地震定位方法所确定的爆炸地震震中位置和实际震中存在20～30km偏差。人工神经网络具有高度非线性映射功能,可应用于地震震中定位。应用BP(反向传播)神经网络确定远场爆破地震震中的实例表明,所确定的震中位置和实际震中位置偏差在8km以内,外延预测确定的震中位置和实际震中位置偏差小于18km.

关键词: 爆炸地震, 震中定位, 神经网络

Abstract: The algorithm principle of BP neural networks is briefly introduced in the paper, at the same time, the formation of networks and the study skills are provided. Because of the earth medium non homogeneity and complicity of geological conditions of seismic stations, the relationship between epicenter distance and seismic wave propagation time is not linear.It has been found that epicenters located by usual seismic location method deviate from real epicenters. The deviation of distance is about 20km to 30km. The neural networks can be sucessfully applied to the epicneter locating as they have a high non linear reflective function. The errors between epicenters calculated by neural networks and actual epicenters are less than 8km and 18km respectively in and out of the seismic network control area.

Key words: Explosion earthquake, Epicentral location, Neural networks

李学政, 何永锋, 雷军, 胡毓良. 神经网络方法在爆炸地震震中定位方面的应用[J]. 地震地质, 1999, 21(1): 77-82.

Li Xuezheng, He Yingfeng, Lei Jun, Hu Yuliang. APPLICATION OF THE NEURAL NETWORKS TO THE EPICENTER LOCATING OF EXPLOSION EARTHQUAKES[J]. SEISMOLOGY AND GEOLOGY, 1999, 21(1): 77-82.

[1]	刘睿, 姜大伟, 李安, 郭长辉, 张世民. 利用沉积物粒度特征区分不同级地貌面的方法对比——以青衣江流域地貌面为例[J]. 地震地质, 2019, 41(4): 837-855.
[2]	宋冬梅, 时洪涛, 单新建, 刘雪梅, 崔建勇, 沈晨, 屈春燕, 邵红梅, 王一博, 臧琳, 陈伟民, 孔建. 基于热异常信息与BP神经网络的中强地震预测试验[J]. 地震地质, 2015, 37(2): 649-660.
[3]	陈晓利, 赵健, 叶洪. 应用径向基概率神经网络研究地震滑坡[J]. 地震地质, 2006, 28(3): 430-440.
[4]	武强, 陈珮珮, 董东林, 孙卫东, 魏迎春. 基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例[J]. 地震地质, 2002, 24(2): 249-257.