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多参量联合分析的地震空间探测异常研究进展

贾雪璨 龚川 刘珠妹 李盛乐

贾雪璨, 龚川, 刘珠妹, 李盛乐. 多参量联合分析的地震空间探测异常研究进展[J]. 地震科学进展, 2022, (6): 241-250. doi: 10.19987/j.dzkxjz.2021-087
引用本文: 贾雪璨, 龚川, 刘珠妹, 李盛乐. 多参量联合分析的地震空间探测异常研究进展[J]. 地震科学进展, 2022, (6): 241-250. doi: 10.19987/j.dzkxjz.2021-087
Jia Xuecan, Gong Chuan, Liu Zhumei, Li Shengle. Research progress of seismic remote sensing anomalies based on multi-parameter combined analysis[J]. Progress in Earthquake Sciences, 2022, (6): 241-250. doi: 10.19987/j.dzkxjz.2021-087
Citation: Jia Xuecan, Gong Chuan, Liu Zhumei, Li Shengle. Research progress of seismic remote sensing anomalies based on multi-parameter combined analysis[J]. Progress in Earthquake Sciences, 2022, (6): 241-250. doi: 10.19987/j.dzkxjz.2021-087

多参量联合分析的地震空间探测异常研究进展

doi: 10.19987/j.dzkxjz.2021-087
基金项目: 国家自然科学基金(42004044)资助。
详细信息
    作者简介:

    贾雪璨(1997-),女,硕士研究生,主要从事地震遥感异常分析与震源机制解研究。E-mail:jiaxuecan_cug@163.com

    通讯作者:

    刘珠妹(1987-),女,副研究员,主要从事遥感应急减灾方面研究。E-mail:liuzm@eqhb.gov.cn

  • 中图分类号: P315.72

Research progress of seismic remote sensing anomalies based on multi-parameter combined analysis

  • 摘要: 卫星对地观测技术是全球范围内实时监测孕震区地震活动和震后应急救援的有力工具。过去的几十年里,不同种类的卫星观测数据被应用于地震遥感异常探测领域中,并逐渐开展了从单个震例分析,到普遍规律探索,再到内部机理研究的多方面探讨。但由于地球系统的复杂性和孕震过程的不确定性,地震遥感异常研究仍充满困难和挑战。本文利用文献计量分析方法,探究了现今国内外地震遥感异常研究的关注热点和趋势方向,认为目前对于地震遥感异常的研究已由单一参量发展为多参量联合分析阶段;通过3个前沿研究案例分析了常用的综合分析参量与异常分析方法,以及多参量之间的时空同步性关系,表明多参量遥感异常的结合研究和交叉验证是地震遥感异常研究中的重要手段,可以在未来地震前兆研究中发挥重要作用。

     

  • 图  1  空间对地观测技术在地震遥感异常应用领域年发文量情况

    Figure  1.  Annual publications of earth observation technology in seismic anomaly

    图  2  地震遥感异常应用研究国家和研究机构共现图谱

    (a) 研究国家; (b) 研究机构

    Figure  2.  Co-occurrence map of research countries and institutions in the field of seismic anomaly applications using earth observation technology

    (a) Research countries;(b) Research institutions

    图  3  地震遥感异常应用领域研究手段时间发展趋势图

    (a) 国际研究手段时间发展趋势;(b) 国内研究手段时间发展趋势

    Figure  3.  Trend of research methods in the field of seismic anomaly using earth observation technology

    (a) International trend of research methods;(b) Domestic trend of research methods

    图  4  国际/国内阶段性关键词图谱

    Figure  4.  Map of international/domestic periodical keywords

    图  5  地震遥感异常研究关键字图谱

    (a) 国际近5年关键词图谱;(b) 国内近5年关键词图谱

    Figure  5.  Keywords map of the seismic anomalies research using remote sensing technology

    (a) International keywords map nearly five years;(b) Domestic keywords map nearly five years

    表  1  文献检索关键词表

    Table  1.   Table of literature keywords

    圈层关键词
    盖层地表温度;微波亮温;红外亮温;长波辐射;植被指数
    大气层大气温度;气溶胶光学厚度;线性云;含碳气体;潜热通量;大气水汽
    电离层总电子含量;F2层扰动;电子浓度;离子浓度;电子/离子温度;磁场强度
    下载: 导出CSV

    表  2  研究案例基本信息

    Table  2.   Introduction of the research case

    地震案例数据源分析参量研究时段分析方法研究团队
    2017-08-08
    九寨沟MW6.5
    FY-2E、FY-2GTBB、OLR、MIB2014-01—2017-09功率谱法Zhong等[24]
    GNSSTEC2014-07—08滑动四分位距法
    2018-02-04
    台湾花莲MW6.1
    和2018-02-06
    台湾花莲MW6.4
    IGS站点TEC震前15天,震后5天
    滑动四分位距法Muhammad等[42]
    GIOVANNI 在线数据库每日OLR$ \mu \pm 2\sigma $指标
    MERRA-2位势高度
    GLDAS地表气温
    NOAA 在线数据库每日异常复合数据集
    2019-07-04
    和2019-07-06
    加州MW6.5,MW7.1
    GNSSTEC震前1月,震后5天滑动四分位距法Xie等 [41]
    CSES、SwarmNeCSES:2019-06—07
    Swarm:含地震日的3个月
    时空变化分析
    CSES、SwarmTe
    注:TBB为黑体亮度温度、MIB为中红外亮度、OLR为出射长波辐射;TEC为总电子含量、Ne为电子密度、Te为电子温度;GLDAS为全球陆地数据同化系统;MERRA-2为NASA的现代回顾性研究和应用第二版;CSES指中国电磁卫星 “张衡一号” ,Swarm星座是欧洲航天局三颗卫星(SwarmA、SwarmB和SwarmC)组成的卫星任务;引入F10.7DstKp等指数排除太阳活动与地磁场的干扰,F10.7为太阳活动指数、Dst为扰动风暴时间指数、Kp为磁极指数
    下载: 导出CSV

    表  3  各案例地震异常参量时空展布及同步特性

    Table  3.   Temporal and spatial distribution and synchronization characteristics of seismic anomalous parameters in each case

    地震案例异常参量时间分布空间分布磁性干扰情况多参量同步性
    2017-08-08
    九寨沟MW6.5
    TBB,OLR,MIB红外异常在震前1个月开始出现,直至震后1个月消逝;
    非地震年,无红外异常
    红外异常分布在震中的东南方向;均在同一地震断层区在电离层TEC增加期间,无来自太阳活动与地磁活动的干扰在无来自太阳风暴、地磁风暴的干扰情况下,热辐射与电离层TEC异常具有良好的时间、空间对应性
    TEC震前10天开始出现TEC异常,震后1周不再变化震中南部和华容山断裂带南部大范围的电离层TEC正异常,后者的异常幅度更大
    2018-02-04
    台湾花莲MW6.1
    和2018-02-06
    台湾花莲MW6.4
    TEC震前1天,有正的电离层扰动,TEC显著增强,震前8小时消失震中附近,震中西北方向安静地磁条件(Kp < 3,Dst < −20 nT),排除磁性活动干扰安静地磁条件下,所有异常都位于震中的西北方向,沿着菲律宾海板块的运动方向
    OLR,位势高度,地面气温,复合异常图OLR存在显著变化,与电离层异常一致(震前1天),震后2天消失;
    震前1天,位势高度和地面气温时间序列呈V形下降,震后2天消失;
    气温从MW6.1震前1天开始连续4天观察到下降,在MW6.4地震当天显著下降,震前1天位势高度出现了250 m的非典型下降
    2019-07-04
    和2019-07-06
    加州MW6.5,MW7.1
    TECGNSS(CORSs):在6月20—23日,29—30日和7月2日检测到TEC异常;
    GIM:在6月20日,22日,29日,7月2日和5日检测到TEC异常
    TEC、NeTe在空间上同步;
    震前的异常发生在震中的赤道面(震中东南和西南)
    在地震相关期间没有磁性风暴,太阳活动和地磁活动等因素对TEC的影响较小在没有来自太阳风暴、地磁风暴的干扰情况下,3个参数(TEC, NeTe)异常相互验证,且时空连通:TEC和Ne呈正相关,NeTe均呈正负相关,主要为负相关,夜间呈较强的线性负相关
    NeTeCSES:6月20日,26日,28日,30日,7月4—5日NeTe异常在空间和时间上吻合; NeTe呈负相关,Te随着Ne的减少而增加;
    Swarm:TeNe在白天既呈负相关又呈正相关,夜间相关性更强;
    TEC、NeTe在时间上同步
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-12-06
  • 修回日期:  2022-02-09
  • 网络出版日期:  2022-03-08

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