|本期目录/Table of Contents|

[1]李 琼,付 虹,胡小静,等.云南水化学观测异常与地震关系*[J].地震研究,2020,43(02):375-381.
 LI Qiong,FU Hong,HU Xiaojing,et al.The Relationship between Anomalies of Hydrochemical Observation Data and Earthquakes in Yunnan Province[J].Journal of Seismological Research,2020,43(02):375-381.
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云南水化学观测异常与地震关系*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
43
期数:
2020年02期
页码:
375-381
栏目:
出版日期:
2020-06-10

文章信息/Info

Title:
The Relationship between Anomalies of Hydrochemical Observation Data and Earthquakes in Yunnan Province
作者:
李 琼付 虹胡小静高文斐(云南省地震局云南 昆明 650224)
(云南省地震局,云南 昆明 650224)
Author(s):
LI QiongFU HongHU XiaojingGAO Wenfei
(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)
关键词:
云南地区 水化学观测 映震能力 异常与地震关系
Keywords:
Yunnan area hydrochemical observation data earthquake prediction efficiency relationship between anomalies and earthquakes
分类号:
P315.723
DOI:
-
摘要:
基于2000—2017年云南水化学观测资料,利用原始观测曲线识别异常的传统分析方法,提取单项及群体异常,分析其与地震的关系。结果表明:①研究时段内,云南水化学资料的利用率低,仅为56%,反映了水化学观测台站的映震能力不均一; ②震例研究显示水化学异常以短期异常为主,占总异常的70%,对地震的预测效能较好,76%的测项没有出现虚报; ③单台群体及区域群体异常与地震的关系密切,台站密集地区的异常数量较多且地震对应率较高。因此,建设高密度、高质量观测点是提高水化学地震预测能力的重要基础。
Abstract:
Based on the observation data of Hydrochemistry in Yunnan Province from 2000 to 2017,a traditional analysis method of identifying anomalies with original observation curve is used to extract single and group anomalies and analyzed the relationship between them and earthquakes.The results show that during the research period,the utilization rate of hydrochemical data in Yunnan is 56%,which reflects the uneven seismic reflection capacity of hydrochemical observation stations.The earthquake case study shows that the hydrochemical anomalies are mainly short-term anomalies,accounting for 70% of the total anomalies.The prediction efficiency of the earthquake is good,and 76% of the items are not false.The single station group and regional group anomalies are closely related to earthquakes.The number of anomalies in the area with dense stations is large and the earthquake response rate is high.The construction of high-density and high-quality observation points is an important basis for improving the earthquake prediction ability of hydrochemical data.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-12-13
基金项目:中国地震局监测预报司震情跟踪重点项目(2020020501)和青年项目(2020010316)共同资助.

更新日期/Last Update: 2020-06-10