Progress and testing of NET-VISA software
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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NET-VISA关联结果作了分析对比。Abstract: 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 NET-VISA association results of the six North Korea nuclear tests are analyzed and compared.
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Key words:
- CTBTO /
- seismic event association /
- Bayesian inference /
- event detection
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表 1 NET-VISA原型系统3个月测试结果
Table 1. The three months test results of NET-VISA prototype
事件数 SEL3（在LEB中
事件的比例）NET-VISA（在LEB
中事件的比例）所有事件 758 70.2 75.7 0<mb<3.0 36 50.0 61.1 3.0<mb<3.5 254 59.8 66.1 3.5<mb<4.0 304 73.0 77.0 
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表 2 NET-VISA定位的历次朝鲜核试验相关事件基本参数列表
Table 2. Basic parameters of events related to several North Korean nuclear tests located by NET-VISA
日期（年-月-日） 时:分:秒 纬度/°N 经度/°E 深度/km Ndef（关联的
震相数）mb Ml 2006-10-09 01:35:41.76552 41.2282 128.855 109.74 12 3.66326 3.26850 2009-05-25 00:54:41.91350 41.0652 129.160 0 50 4.52255 4.61279 2013-02-12 02:57:50.33770 41.1496 129.121 0 32 4.93660 4.86616 2016-01-06 01:30:01.40802 39.8265 129.543 0 25 4.27865 4.63570 01:30:03.72158 41.2473 129.134 21.0068 43 4.73201 4.85102 2016-09-09 00:30:04.55598 41.3449 129.113 23.4105 48 4.87588 4.90690 00:30:12.98955 41.3315 129.846 0.680357 27 4.40477 4.75006 2017-09-03 03:30:01.05890 41.3324 129.163 0 69 5.97378 5.04100 03:30:05.35955 40.6864 128.358 0 42 5.49151 5.26813 03:38:35.30289 41.2136 128.822 0 13 3.94269 3.37268
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表 3 以REB为参考的SEL3和VSEL定时误差（s）
Table 3. SEL3 and VSEL timing errors （s） with REB as reference
日期（年-月-日） E（SEL3） E（VSEL） E（VSEL2） 2006-10-09 0.75 14.19 2009-05-25 0.30 −0.89 2013-02-12 0.13 −0.46 2016-01-06 0.03 0.92 3.23 2016-09-09 2.55 3.69 12.12 2017-09-03（1） 4.67 −0.02 4.28 2017-09-03（2） 1.44 3.22
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表 4 以REB为参考的SEL3和VSEL定位误差（°）
Table 4. SEL3 and VSEL location errors （°） with REB as reference
日期（年-月-日） E（SEL3） E（VSEL） E（VSEL2） 2006-10-09 0.03272 0.18404 2009-05-25 0.03875 0.27078 2013-02-12 0.03824 0.16089 2016-01-06 0.03570 1.55809 0.10287 2016-09-09 0.00885 0.07856 0.79755 2017-09-03（1） 0.08804 0.12865 0.92751 2017-09-03（2） 0.46125 0.26232
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