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数字化地震前兆台网观测数据质量评价方法
引用本文:刘春国,李正媛,吕品姬,叶青,张素琴,韦进,唐磊. 数字化地震前兆台网观测数据质量评价方法[J]. 中国地震, 2017, 33(1): 112-121
作者姓名:刘春国  李正媛  吕品姬  叶青  张素琴  韦进  唐磊
作者单位:中国地震台网中心, 北京市西城区三里河南横街5号 100045,中国地震台网中心, 北京市西城区三里河南横街5号 100045,中国地震局地震研究所, 武汉 43007,中国地震台网中心, 北京市西城区三里河南横街5号 100045,中国地震局地球物理研究所, 北京 100081,中国地震局地震研究所, 武汉 43007,中国地震局地壳应力研究所, 北京 100085
基金项目:2013年度国家重点基础研究发展计划(973计划)(2013CB733205)资助
摘    要:为进一步提升我国地震前兆台网的管理水平,对数字化地震前兆台网观测数据质量进行快速而科学合理的评价,在现有各学科评比办法的基础上,开展了台网数据质量评价方法研究。通过研究获得了1套包含观测数据的完整性、噪声水平、固体潮汐效应、一致性等多方面的数据质量评价指标,在此基础上,采用规范化处理与加权平均等方法建立起台网数据质量评价方法。应用分析显示,评价结果基本能够反映台网的数据质量实际状况。

关 键 词:地震前兆台网  数字化观测数据  质量评价
收稿时间:2015-09-30
修稿时间:2016-02-21

The quality evaluation method of the digital observation data from the Earthquake Precursory Observation Networks
Liu Chunguo,Li Zhengyuan,L,#; Pinji,Ye Qing,Zhang Suqin,Wei Jin and Tang Lei. The quality evaluation method of the digital observation data from the Earthquake Precursory Observation Networks[J]. Earthquake Research in China, 2017, 33(1): 112-121
Authors:Liu Chunguo,Li Zhengyuan,L&#   Pinji,Ye Qing,Zhang Suqin,Wei Jin  Tang Lei
Affiliation:China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,Institute of Seismology, CEA, Wuhan 430071, China,China Earthquake Networks Center, Beijing 100045, China,Institute of Geophysics, CEA, Beijing 100081, China,Institute of Seismology, CEA, Wuhan 430071, China and Institute of Crustal Dynamics, CEA, Beijing 100085, China
Abstract:In order to further improve the management level of the National Earthquake Precursory Observation Networks of China,and evaluate rapidly and scientifically the quality of digital observation data on the basis of the current subject evaluation methods,the data quality evaluation method of the Earthquake Precursory Observation Networks are studied. A set of data quality evaluation index associated with data integrity,noise level,solid tidal effect,consistency and other aspects is obtained,and then the data quality evaluation method of the Earthquake Precursory Observation Networks is established with the help of standardized treatment and weighted average methods. Application results show data quality indexes of the evaluation method is relatively comprehensive and reasonable. The evaluation results are basically consistent with the actual situation of the networks data quality. The evaluation method has been used in the national regional precursory network appraisal work. The study lays a foundation for the rapid assessment and quality classification of the Earthquake Precursory Observation Networks.
Keywords:Earthquake Precursory Observation Networks  Digital observation data  Quality evaluation
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