GPS应变场云图方法识别地震形变场异常初步分析

doi:10.12196/j.issn.1000-3274.2021.03.002

地震 ›› 2021, Vol. 41 ›› Issue (3): 22-31.doi: 10.12196/j.issn.1000-3274.2021.03.002

GPS应变场云图方法识别地震形变场异常初步分析

常金龙^1,2, 甘卫军³, 孟令升¹, 朱成林⁴, 刘俊清⁵

1.黑龙江省地震局, 黑龙江哈尔滨 150090;
2.黑龙江省鹤岗地震台, 黑龙江鹤岗 154101;
3.中国地震局地质研究所地震动力学国家重点实验室, 北京 100029;
4.山东省地震局, 山东济南 250000;
5.吉林省地震局, 吉林长春 130117

收稿日期:2020-02-26 修回日期:2020-07-24 出版日期:2021-07-31 发布日期:2021-11-02
通讯作者: 甘卫军, 研究员。 E-mail: wjgan@ies.ac.cn
作者简介:常金龙(1979-), 男, 山东滨州人, 高级工程师, 主要从事GPS在地壳形变监测中的应用研究。
基金资助:
中国地震局地震科技星火计划(XH190802Y); 国家重点研发计划课题(2018YFC1503304)

Preliminary Analysis of GPS Strain Field Cloud Method for Idenetifying Seismic Deformation Field Anomalies

CHANG Jin-long^1,2, GAN Wei-jun³, MENG Ling-sheng¹, ZHU Cheng-lin⁴, LIU Jun-qing⁵

1. Heilongjiang Earthquake Agency, Harbin 150090, China;
2. Hegang Seismic Station of Heilongjiang Province, Hegang 154101, China;
3. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;
4. Shandong Earthquake Agency, Jinan 250000, China;
5. Jilin Earthquake Agency, Changchun 130117, China

Received:2020-02-26 Revised:2020-07-24 Online:2021-07-31 Published:2021-11-02

摘要/Abstract

摘要： 介绍一种获取地震形变场异常的应变场云图方法。首先在指定时间窗内对GPS位移时间序列进行拟合速度值、插值速度场和计算应变场处理, 然后以一定步长滑动得到时空连续的应变场动态变化图像, 进而提取形变场异常信息。通过分析门源M_S6.4地震与震前应变场时空演化对应关系, 说明本方法对预测地震有一定的指示作用。在2019年年终会商中, 对嫩江M_L4.5地震提出预测意见并检验了实用性。研究认为, 应变场云图是一种有效、直观识别震前形变场异常的方法, 可在地震会商工作中推广应用。

关键词: GPS应变场云图, 形变场时空演化, 形变场异常, 门源M_S6.4地震

Abstract: This paper introduces a method to obtain the anomaly of seismic deformation field by strain field cloud map. The basic idea is as follows. Firstly, we fit the GPS displacement time series in the specified time window, interpolate the velocity field and calculate the strain field. Then we obtain the cloud map of the strain field which varies continuously in space-time sliding with a certain step length and extract the anomaly information of seismic deformation field. We analyzed the relationship between strain field cloud map and Menyuan M_S6.4 earthquake. The results show that this method has certain indicative effect on earthquake. At the 2019 year-end provincial Seismologic Consideration, the practicability of this method is tested by predicting Nenjiang M_L4.5 earthquake. The research shows that this method is an effective and intuitive method to identify abnormal deformation field before earthquake.

Key words: GPS strain cloud map, Deformation feld spatiotemporal evolution, Deformation field anomaly, Seismologic consideration

中图分类号:

P315.7

常金龙, 甘卫军, 孟令升, 朱成林, 刘俊清. GPS应变场云图方法识别地震形变场异常初步分析[J]. 地震, 2021, 41(3): 22-31.

CHANG Jin-long, GAN Wei-jun, MENG Ling-sheng, ZHU Cheng-lin, LIU Jun-qing. Preliminary Analysis of GPS Strain Field Cloud Method for Idenetifying Seismic Deformation Field Anomalies[J]. EARTHQUAKE, 2021, 41(3): 22-31.

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GPS应变场云图方法识别地震形变场异常初步分析

Preliminary Analysis of GPS Strain Field Cloud Method for Idenetifying Seismic Deformation Field Anomalies

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[1]	张希, 秦姗兰, 贾鹏, 李瑞莎. 2016年门源M_S6.4地震孕育—发生的地形变异常特征[J]. 地震, 2019, 39(4): 27-38.
[2]	苏小宁, 孟国杰. 2016年青海门源M_S6.4地震震前应变积累及同震变形特征[J]. 地震, 2017, 37(4): 1-9.