GU Guohua, WANG Wuxing. Crustal Motions Observed from GPS Observations for the M6.9 Earthquake in Hawaii and the Eruption of the Kilauea Volcano in 2018[J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1191-1197, 1204. DOI: 10.13203/j.whugis20180463
Citation: GU Guohua, WANG Wuxing. Crustal Motions Observed from GPS Observations for the M6.9 Earthquake in Hawaii and the Eruption of the Kilauea Volcano in 2018[J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1191-1197, 1204. DOI: 10.13203/j.whugis20180463

Crustal Motions Observed from GPS Observations for the M6.9 Earthquake in Hawaii and the Eruption of the Kilauea Volcano in 2018

Funds: 

The National Natural Science Foundation of China 41274098

Basic Research Plan of the Institute of Earthquake Science, China Earthquake Administration 2013IES0407

Research Fund of the China Earthquake Administration for Senior Scientist 

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  • Author Bio:

    GU Guohua, professor, specializes in GPS data processing, crustal deformation and precursors to earthquakes. E-mail: ggh@seis.ac.cn

  • Received Date: January 20, 2019
  • Published Date: August 04, 2019
  • In 2018 the Kilauea volcano erupted and on May 5, an earthquake of M6.9 occurred in Hawaii. Though the methods used by the authors to get the results in the regional reference frame and the methods for NA12 results are different in some way, both results for NA12 are in good agreement. The results in NA12 at GPS continuous observation stations, directly obtained from http://geodesy.unr.edu, were analyzed to show crustal motions in Hawaii. The preseismic crustal movements were dominated by deformation precursory to the earthquake while the influence of the volcanic eruption was secondary. The coseismic displacements were the result of the rupture of the earthquake fault. The post seismic displacements around the crater were quite large but localized in a rather small area. No accumulated preseismic vertical displacements were observed near the epicenter. The coseismic horizontal displacements were instant and dramatic displacements in opposite sense to the accumulated preseismic horizontal displacements so they were elastic rebound of the accumulated preseismic horizontal displacements. Therefore, the accumulated preseismic horizontal displacements were precursors to the earthquake. In comparison to other large earthquakes, the media of a quite small area around the epicenter was nearly elastic. The crustal movements near the epicenter, imminent to the earthquake were quite significant. They showed the preslip of the earthquake fault or preseismic displacements. This earthquake is a special case that showed the existence of imminent deformation precursory to the earthquake. They are new clues for the future observations and study on the imminent precursors. The M6.9 earthquake in Hawaii was the result of compression of the crust of the island by horizontal motion in NW direction before the earthquake, which led to shear rupture of the earthquake fault that caused the earthquake. This fact is in good agreement with the model of rebound or elastic rebound proposed by the authors, the compression-shear model of rebound or elastic rebound, that is, the model of preseismic compression that leads to shear rupture of the earthquake.
  • [1]
    Blewitt G, Kreemer C, Hammond W C, et al. Terrestrial Reference Frame NA12 for Crustal Deformation Studies in North America[J]. Journal of Geodynamics, 2013, 72:11-24 doi: 10.1016/j.jog.2013.08.004
    [2]
    Blewitt G, Kreemer C, Hammond W C, et al.MIDAS Robust Trend Estimator for Accurate GPS Station Velocities Without Step Detection[J]. Journal of Geophysical Research:Solid Earth, 2016, 121(3):2054-2068 doi: 10.1002/2015JB012552
    [3]
    Gu Guohua, Fu Yang, Wang Wuxing. Horizontal Crustal Movement in Chinese Mainland Before and After the Great Kunlun Mountain M=8.1 Earthquake in 2001[J]. Acta Seismologica Sinica, 2003, 16(6):676-685 doi: 10.1007/s11589-003-0051-4
    [4]
    Gu Guohua, Wang Wuxing. Advantages of GNSS in Monitoring Crustal Deformation for Detection of Precursors to Strong Earthquakes[J]. Positioning, 2013, 4(1):11-19 doi: 10.4236/pos.2013.41003
    [5]
    顾国华, 张晶, 王武星.中国地壳运动观测网络基准站水平位移向量时间序列[J].地震, 2003, 23(2):39-47 http://d.old.wanfangdata.com.cn/Periodical/diz200302005

    Gu Guohua, Zhang Jing, Wang Wuxing. Time Series of Horizontal Displacement Vectors Obtained at Fiducial Stations in the Crustal Movement Observations of China[J]. Earthquake, 2003, 23(2):39-47 http://d.old.wanfangdata.com.cn/Periodical/diz200302005
    [6]
    顾国华, 王武星. 2016年新西兰7.8级大地震GPS观测结果与弹性回跳模型[J].武汉大学学报·信息科学版, 2017, 42(11):1673-1680 http://ch.whu.edu.cn/CN/abstract/abstract5884.shtml

    Gu Guohua, Wang Wuxing. Result of GPS Observations for the M7.8 Earthquake in 2016 in New Zealand and Discussion on the Model of Elastic Rebound[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11):1673-1680 http://ch.whu.edu.cn/CN/abstract/abstract5884.shtml
    [7]
    Gu Guohua, Meng Guojie, Wang Wuxing. Anomalous Crustal Movements Before the Great Wenchuan Earthquake Obtained from GPS Observed by GPS[J]. Geodesy and Geodynamics, 2011, 2(2):13-22 http://www.cnki.com.cn/Article/CJFDTotal-GEDS201102005.htm
    [8]
    顾国华, 王武星, 占伟, 等.东日本Mw9.0大地震前、同震及震后地壳水平运动[J].武汉大学学报·信息科学版, 2015, 40(12):1669-1676 http://ch.whu.edu.cn/CN/abstract/abstract3397.shtml

    Gu Guohua, Wang Wuxing, Zhan Wei, et al. Preseismic, Coseismic and Postseismic Horizontal Crustal Movements of the Mw9.0 Tohoku Earthquake in 2011 in Japan[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12):1669-1676 http://ch.whu.edu.cn/CN/abstract/abstract3397.shtml
    [9]
    Gu Guohua, Wang Wuxing. Far-Field Crustal Movements Before and After the 2011 Ms9.0 Japan Earthquake from GPS Observations[J]. Geodesy and Geodynamics, 2011, 2(3):1-7 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ddclydqdlx-e201103001
    [10]
    Gu Guohua, Wang Wuxing. Preseismic and Coseismic Crustal Movements of the M7.3 Kyushu Earthquake on April 16, 2016 in Japan[J]. Earthquake Research in China, 2017, 31(4):589-600
    [11]
    Blewitt G, Hammond W C, Kreemer C. Harnessing the GPS Data Explosion for Interdisciplinary Science[OL]. https://eos.org/project-updates/harnessingthe-gps-data-explosion-for-interdisciplinary-science,2018
    [12]
    Wessel P, Smith W H F. New Version of the Generic Mapping Tools Released[J]. EOS Trans Am Geophys Union, 1995, 76(33):329 doi: 10.1029-95EO00198/
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