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地震 ›› 2021, Vol. 41 ›› Issue (3): 192-201.doi: 10.12196/j.issn.1000-3274.2021.03.014

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天山中东段中强地震与地面气温的关系研究

卢显1, 耿飞2, 张晓东3, 孙珂3, 孟庆岩4, 闫伟1   

  1. 1.中国地震台网中心, 北京 100045;
    2.南京信息工程大学, 江苏 南京 210044;
    3.中国地震局地震预测研究所, 北京 100036;
    4.中国科学院空天信息创新研究院, 北京 100094
  • 收稿日期:2020-08-14 修回日期:2021-01-12 出版日期:2021-07-31 发布日期:2021-11-02
  • 作者简介:卢显(1985-), 女, 山东聊城人, 博士, 高级工程师, 主要从事卫星遥感应用和地震预报研究。
  • 基金资助:
    国家自然科学基金青年基金项目(41704062); 国家重点研发计划项目(2019YFC1509202, 2017YFC1500502-05, 2016YFE0122200); 中国地震局震情跟踪定向工作任务项目(2021010509)

The Relationship Study of Mid-strong Earthquakes in the Central and Eastern of Tianshan and the Land Surface Air Temperature

LU Xian1, GENG Fei2, ZHANG Xiao-dong3, SUN Ke3, MENG Qing-yan4, YAN Wei1   

  1. 1. China Earthquake Networks Center, Beijing 100045, China;
    2. Nanjing University of Information Science & Technology, Jiangsu Nanjing 210044, China;
    3. Institute of Earthquake Science, CEA, Beijing 100036, China;
    4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • Received:2020-08-14 Revised:2021-01-12 Online:2021-07-31 Published:2021-11-02

摘要: 通过对中国国家级地面气象站的每日最低地面气温数据进行预处理, 应用K值偏移指数方法对去除研究区域多年背景信息及历史地震影响的地面气温数据进行异常特征提取, 获得天山中东段每日地面气温特征变化信息, 构建该区域2015—2017年的每日地面气温特征信息库, 研究其时空变化规律, 并进行回溯性地震检验, 得到地面气温高值异常时段的有震对应概率, 以及中强以上地震前后的地面气温变化规律。 本研究对新疆地区的地震预测具有一定的参考意义。

关键词: 国家气象站, 地面气温, 偏移指数, 天山中东段, 地震

Abstract: The LSAT (land surface air temperature) anomaly characteristics were abstracted by the K-value migration index method with removed background information, based on the daily minimum LSAT from China National Weather Stations. This study structured the daily LSAT characteristic data base of 2015 to 2017, including the LSAT characteristic change per day in the Central and Eastern part of Tianshan. The spatial-temporal features were analyzed and the historical earthquakes were retrespectively tested. In addition, the earthquake corresponding probability to the high LSAT anomaly and the LSAT change law before and after mid-strong earthquakes were all analyzed, this could supply some reference to the research on earthquake trend of Xinjiang China.

Key words: National weather station, Land surface air temperature, Migration index, The Central and Eastern of Tianshan, Earthquake

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