摘要
全球台网地震震相有效关联与快速精确定位是地震监测和禁核试核查的核心问题之一。禁核试条约组织(CTBTO)筹备委员会临时技术秘书处(PTS)国际数据中心(IDC)自成立以来,一直致力于台网震相自动关联有效率及自动处理公报质量的提高,以减轻分析员的工作量。NET-VISA作为IDC下一代全球震相自动关联和事件检测定位软件,使用概率模型和贝叶斯方法找到解释检测观测结果的最佳事件集,进而从这些观测结果中生成自动处理地震公报。测试结果表明,NET-VISA产生的公报要比IDC目前使用的全球关联方法生成的自动处理公报SEL3更加完整和精准。本文介绍了NET-VISA方法的基本原理和测试进展,最后对CTBT北京国家数据中心参加NET-VISA测试中朝鲜6次核试验的NETVISA关联结果作了分析对比。
Effective association and rapid and accurate location of seismic phase in global network is one of the core problems of seismic monitoring and nuclear test ban verification.IDC has been devoted to improving the efficiency of automatic association of seismic phases and the quality of automatic processing of bulletins to reduce the workload of analysts.As the next generation of global network processing software in IDC,NET-VISA uses probability model and Bayesian method to find the most probable set of seismic events which can explain a series of arrivals detected by a seismic network and work out seismic bulletin.IDC’s test results show that NET-VISA produces a bulletin that is more complete and accurate than the SEL3 bulletin generated by GA which is currently used by IDC.This paper introduces the basic principle of the NET-VISA method and the test progress in CTBTO International data Center.Finally,the NETVISA association results of the six North Korea nuclear tests are analyzed and compared.
作者
王娟
刘俊民
李健
邱宏茂
王晓明
商杰
盖磊
Wang Juan;Liu Junmin;Li Jian;Qiu Hongmao;Wang Xiaoming;Shang Jie;Gai Lei(CTBT Beijing National Data Center and Beijing Radionuclide Laboratory,Beijing 100085,China)
出处
《地震科学进展》
2021年第6期274-278,共5页
Progress in Earthquake Sciences
关键词
CTBTO
震相关联
贝叶斯方法
事件检测
CTBTO
seismic event association
Bayesian inference
event detection