| 基于大数据挖掘的地震前兆台网观测数据跟踪分析 |
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| 引用本文： | 王西宝, 程树岐. 山东区域流体数据跟踪分析及思考[J]. 地震科学进展 , 2021, (9): 400-408. DOI: 10.3969/j.issn.2096-7780.2021.09.003 |
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| 作者姓名： | 王西宝 程树岐 |
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| 作者单位： | 1.山东省地震局沂水地震台，山东沂水 276400 |
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| 摘 要： | 介绍了山东地球物理台网地下流体测网及数据跟踪分析概况，对2017—2020年数据跟踪分析工作产出的6大类事件记录归纳和梳理，并对地球物理事件中的同震效应进行探讨。结果表明：影响山东流体跟踪分析质量的主要原因在于观测系统；跟踪分析中存在的质量问题可以通过相应措施加以解决；极少数水位观测井具有同震效应，多数观测井监测地壳应力变化的能力较弱。
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| 关 键 词： | 地下流体 数据跟踪 典型事件 同震效应 |
| 收稿时间： | 2021-06-27 |
| 修稿时间： | 2021-08-29 |
The application of large data mining techniques in earthquake precursory network observation data tracking analysis |
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| Wang Xibao, Cheng Shuqi. Tracking analysis and thinking of underground fluid data in Shandong geophysical networks[J]. Progress in Earthquake Sciences, 2021, (9): 400-408. DOI: 10.3969/j.issn.2096-7780.2021.09.003 |
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| Authors: | Wang Xibao Cheng Shuqi |
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| Affiliation: | 1.Yishui Seismic Station of Shandong Earthquake Agency，Yishui Shandong 276400，China |
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| Abstract: | This paper first introduces the general situation about the underground fluid networks and data tracking analysis of Shandong geophysical networks. Then the records of six types of abnormal change events produced by data tracking and analysis work from 2017 to 2020 are summarized and sorted out and the co-seismic effect in geophysical events are analyzed. The results showed that: the main reason affecting the quality of fluid tracking analysis in Shandong Province lied in the observation system; the problems existing in the tracking analysis can be solved by corresponding measures; a few water level observation wells had co-seismic effect, and the ability of most observation wells to monitor crustal stress changes is gradually weakening. |
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| Keywords: | underground fluid data tracking typical events co-seismic effect |
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