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地震 ›› 2016, Vol. 36 ›› Issue (3): 125-134.

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2014年云南景谷6.6级地震前后活动能量场分析

罗国富1, 屠泓为2, 曾宪伟1, 马禾青1, 杨明芝1   

  1. 1.宁夏回族自治区地震局, 宁夏 银川 750001;
    2.青海省地震局, 青海 西宁 810001
  • 收稿日期:2016-01-12 发布日期:2020-07-03
  • 通讯作者: 屠泓为, 副研究员。 E-mail: tuhongwei@sina.com
  • 作者简介:罗国富(1978-), 男, 山西沁源人, 高级工程师, 主要从事地震预测与预报工作。
  • 基金资助:
    地震科技星火计划(XH16039)资助

Analysis of Regional Seismic Energy Field before and after the 2014 Jinggu MS6.6 Earthquake

LUO Guo-fu1, TU Hong-wei2, ZENG Xian-wei1, MA He-qin1, YANG Ming-zhi1   

  1. 1. Earthquake Administration Ningxia Hui Autonomous Region, Yingchuan750001, China;
    2. Earthquake Administration of Qinghai Province, Xining 810001, China
  • Received:2016-01-12 Published:2020-07-03

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摘要： 本文将地震释放能量作为地震活动场的基本要素, 采用自然正交函数展开方法, 系统研究2014年景谷6.6级地震震中区域地震活动能量场的时空特征。 结果表明, 景谷6.6级地震前能量场的前4个主要特征值对应的典型能量场时间因子都出现明显上升变或下降异常, 空间等值线形成局部能量高值异常危险区, 可能是景谷 6.6级地震空间异常的中短期特征。 我们还进一步研究了景谷6.6级地震前后空间异常随时间的演变, 给出了异常发展变化模式, 最后应用研究地震资料的累积次数从物理角度解释异常形成的机制。

关键词: 能量场, 随机函数, 时空异常危险区, 2014景谷6.6级地震

Abstract: The project will apply random function theory in spatial-temporal characteristics research on seismic energy field of risk areas of North-South Seismic Belt in recent years. We discussed the spatiotemporal features about the energy field of the regional seismic activity before, 2014 Jinggu MS6.6 earthquake. The results show that before the Jinggu MS6.6 earthquake, the four key eigenvalues corresponding to the time weight factors of the typical energy field before Jinggu earthquake showed very evident rising and dropping changes. The spatial image of the key typical fields has showed danger zone of high abnormal value of local energy. The spatial image of the key typical fields has showed danger zone of high abnormal value of local energy. So, there is average abnormal energy field before the Jinggu earthquake. The method also predicts risk area of strong earthquake. We obtained the model of abnormal development and change by the evolution of spatial anomalies over time before and after the Jinggu earthquake. Finally, we explained the mechanism of abnormal formation from the physical angle using cumulative frequency of seismic data.

Key words: Seismic energy field, Random function, The 2014 Jinggu MS6.6 earthquake

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