首页|基于SN-CAST方法的辽宁预警站网监测能力评估

基于SN-CAST方法的辽宁预警站网监测能力评估

扫码查看
通过概率密度函数(PDF)方法对辽宁预警基准站背景噪声进行统计分析,利用SN-CAST方法基于噪声计算结果评估预警站网监测能力,计算得到辽宁"十五"测震台网和预警工程建设站网监测震级的空间分布.结果表明:辽宁预警工程台站建设使台网监测能力显著提升,省内95%的区域地震监测能力由ML2.0提升到ML1.5,其中重点预警区内监测能力达ML1.0,且监测能力较"十五"测震台网空间分布更加均匀.对于监测能力相对薄弱地区可以考虑通过新建高数据质量台站并提高该区域的台站密度,进而提升该区域的监测能力.
Evaluation of Monitoring Capability of Liaoning Early Warning Station Network Based on SN-CAST Method
In this paper,the probability density function (PDF) method is used to analyze the ambient noise of Liaoning early warning base station. The SN-CAST method is used to evaluate the monitoring capa-bility of the early warning station network based on the noise calculation results. And the spatial distribution of the monitoring magnitude with the Liaoning"15th"seismic network and the early warning engineering construction station network is calculated. The results show that the construction of Liaoning early warning station has significantly enhanced the monitoring capacity of the network,and 95% of the regional seismic monitoring capacity in the province has been improved from ML2.0 to ML1.5. The monitoring capacity in the key early warning area reaches ML1.0,and the monitoring capacity is more uniform than the spatial distribu-tion of the"15th"seismic network. For areas with relatively weak monitoring capabilities,the monitoring capabilities of the region will be improved by building new high-data-quality stations and increasing the density of stations in the region.

earthquake early warningambient noise levelseismic monitoring capabilityseismic network

郭攀、李子昊、王晓睿、田雨佳

展开 >

辽宁省地震局,辽宁 沈阳 110034

地震预警 噪声水平 地震监测能力 地震台网

2024

防灾减灾学报
辽宁省地震局,吉林省地震局,黑龙江省地震局,中国灾害防御学会

防灾减灾学报

影响因子:0.127
ISSN:1674-8565
年,卷(期):2024.40(3)