华南地区时变重力场建模实验和异常分析

doi:10.12196/j.issn.1000-3274.2021.01.011

Abstract

Abstract: The terrestrial time-varying gravity measurement has been used for monitoring the density changes and tectonic movements associated with earthquakes. In order to determine the field source monitoring capability and gravity field characteristics of South China region, a gravity model was constructed based on spherical tesseroid units. To assess the quality of recovered gravity field by different modeling methods, gravity field source modeling experiments and noise tests were carried out. The variation of observed gravitational field was calculated and recovered from 2015 to 2017 using least square collocation method. Overall, it can be concluded that the least squares configuration method performs better gravity field recovering effect and anti-noise ability. The spatial resolution capability of the South China Gravity Survey Network is about 55 km, and the equivalent observable signal is about 30×10^-8 m/s². The accumulative temporal and spatial characteristics of the gravity field between 2015 and 2017 is actually consistent. Negative gravity anomalies continue to increase and accumulate at different time scales, and there are periodic changes in positive and negative fluctuations locally. The results have important value for evaluating the quality of terrestrial gravity data, guiding the transformation and upgrading of gravity observation network, while advancing our standing of the interpretation of gravity field changes, analyzing strong earthquakes and geophysical field changes.

Key words: Time-varying gravity field, Potential field model, Checkerboard tests, Least square collocation, South China region

CLC Number:

P315.7

YANG Jin-ling, CHEN Shi, LI Hong-lei, ZHANG Bei, RUAN Ming-ming. Modeling Experiment and Anomaly Analysis of Time-varying Gravity Field in South China[J]. EARTHQUAKE, 2021, 41(1): 141-152.

References

[1] Bagnardi M, Poland M P, Carbone D, et al. Gravity changes and deformation at Kīlauea Volcano, Hawaii, associated with summit eruptive activity, 2009—2012[J]. Journal of Geophysical Research: Solid Earth, 2014, 119(9): 7288-7305.
[2] Carbone D, Poland M P, Diament M, et al. The added value of time-variable microgravimetry to the understanding of how volcanoes work[J]. Earth-Science Reviews, 2017, 169: 146-179.
[3] Hector B, Séguis L, Hinderer J, et al. Water storage changes as a marker for base flow generation processes in a tropical humid basement catchment (Benin): Insights from hybrid gravimetry[J]. Water Resources Research, 2015, 51(10): 8331-8361.
[4] Kennedy J, Ferré Ty P A, Güntner A, et al. Direct measurement of subsurface mass change using the variable baseline gravity gradient method[J]. Geophysical Research Letters, 2014, 41(8): 2827-2834.
[5] Kennedy J R, Ferré Ty P A. Accounting for time- and space-varying changes in the gravity field to improve the network adjustment of relative-gravity data[J]. Geophysical Journal International, 2016, 204(2): 892-906.
[6] 佘雅文, 付广裕, 王灼华, 等.重力与地形数据揭示的巴颜喀拉块体东缘垂向构造应力场[J]. 地球物理学报, 2017, 60(6): 2480-2492.
SHE Ya-wen, FU Guang-yu, WANG Zhuo-hua, et al. Vertical tectonic stress in eastern margin of Bayan Har block revealed by gravity and terrain data[J]. Chinese Journal of Geophysics, 2017, 60(6): 2480-2492.
[7] Chen S, Liu M, Xing L L, et al. Gravity increase before the 2015 M_W7.8 Nepal earthquake[J]. Geophysical Research Letters, 2016, 43(1): 111-117.
[8] Zhu Y Q, Zhan F B, Zhou J C, et al. Gravity Measurements and Their Variations before the 2008 Wenchuan Earthquake[J]. Bulletin of the Seismological Society of America, 2010, 100(5B): 2815-2824.
[9] Zhang Y, Chen S, Xing L L, et al. Gravity changes before and after the 2008 M_W7.9 Wenchuan earthquake at Pixian absolute gravity station in more than a decade[J]. Pure and Applied Geophysics, 2020, 177: 121-133.
[10] 申重阳, 李辉, 孙少安, 等. 重力场动态变化与汶川M_S8.0地震孕育过程[J]. 地球物理学报, 2009, 52(10): 2547-2557.
SHEN Chong-yang, LI Hui, SUN Shao-an, et al. Dynamic variations of gravity and the preparation process of the Wenchuan M_S8.0 earthquake[J]. Chinese Journal of Geophysics, 2009, 52(10): 2547-2557.
[11] Xuan S B, Jin S G, Chen Yong, et al. Insight into the preparation of the 2016 M_S6.4 Menyuan earthquake from terrestrial gravimetry-derived crustal density changes[J]. Scientific Reports, 2019, 9: 18227.
[12] 祝意青, 张勇, 张国庆, 等. 21世纪以来青藏高原大震前重力变化[J]. 科学通报, 2020, 65(7): 622-632.
ZHU Yi-qing, ZHANG Yong, ZHANG Guo-qing, et al. Gravity variations preceding the large earthquakes in the Qinghai-Tibet Plateau from 21st century[J]. Chinese Science Bulletin, 2020, 65(7): 622-632 (in Chinese).
[13] Moritz H. Least-squares collocation[J]. Reviews of geophysics, 1978, 16(3): 421-430.
[14] 阮明明, 陈石, 韩建成. 用最小二乘配置法构建局部重力场模型[J]. 地震学报, 2020, 42(1): 53-65.
RUAN Ming-ming, CHEN Shi, HAN Jian-Cheng. Regional gravity field model constructed by the least squares collocation[J]. Acta Seismologica Sinica, 2020, 42(1): 53-65 (in Chinese).
[15] 杜劲松, 陈超, 梁青, 等. 球冠体积分的重力异常正演方法及其与Tesseroid单元体泰勒级数展开方法的比较[J]. 测绘学报, 2012, 41(3): 339-346.
DU Jing-song, CHEN Chao, LIANG Qing, et al. Gravity anomaly calculation based on volume integral in spherical cap and comparison with the Tesseroid-Taylor series expansion approach[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(3): 339-346 (in Chinese).
[16] Uieda L, Barbosa V C F, Braitenberg C. Tesseroids: Forward-modeling gravitational fields in spherical coordinates[J]. Geophysics, 2016, 81(5): F41-F48.
[17] 胡敏章, 李辉, 刘子维, 等. 川滇地区2010—2013年重力变化及重力网的地震监测能力[J]. 大地测量与地球动力学, 2015, 35(4): 616-620.
HU Min-zhang, LI Hui, LIU Zi-wei, et al. The gravity change over Sichuan-Yunnan region in 2010-2013 and the earthquake monitoring ability of the gravimetric network[J]. Journal of Geodesy and Geodynamics, 2015, 35(4): 616-620 (in Chinese).
[18] 柯灏. 海洋无缝垂直基准构建理论和方法研究[D]. 武汉: 武汉大学, 2012.
KE Hao. Research on the theory and implementation method of marine seamless vertical reference surface[D]. Wuhan: Wuhan University, 2012 (in Chinese).
[19] 彭彬, 周艳莲, 高苹, 等. 气温插值中不同空间插值方法的适用性分析以江苏省为例[J]. 地球信息科学学报, 2011, 13(4): 539-548.
PENG Bin, ZHOU Yan-lian, GAO Ping, et al. Suitability Assessment of Different Interpolation Methods in the Gridding Process of Station Collected Air Temperature: A Case Study in Jiangsu Province, China[J]. Journal of Geo-Information Science, 2011, 13(4): 539-548 (in Chinese)
[20] Wu Y Q, Jiang Z S, Yang G H, et al. Comparison of GPS strain rate computing methods and their reliability[J]. Geophysical Journal International, 2011, 185(2): 703-717.
[21] 江在森, 刘经南. 应用最小二乘配置建立地壳运动速度场与应变场的方法[J]. 地球物理学报, 2010, 53(5): 1109-1117.
JIANG Zai-sen, LIU Jing-nan. The method in establishing strain field and velocity field of crustal movement using least squares collocation[J]. Chinese Journal of Geophysics, 2010, 53(5): 1109-1117 (in Chinese).
[22] 欧阳永忠. 海空重力测量数据处理关键技术研究[D]. 武汉: 武汉大学, 2013.
OUYANG Yong-zhong. On key technologies of data processing for air-sea gravity surveys[D]. Wuhan: Wuhan University, 2013 (in Chinese).
[23] Chen S, Zhuang J C, Li X Y, et al. Bayesian approach for network adjustment for gravity survey campaign: methodology and model test[J]. Journal of Geodesy, 2019, 93(5): 681-700.
[24] 高倩, 陈石. 基于欧拉反褶积方法计算川滇交界重力变化场源特征[J]. 地球物理学进展, 2015, 30(2): 503-509.
GAO Qian, CHEN Shi. Based on the euler deconvolution technique to determine the field source characteristics of gravity Variation in the boundary of Sichuan and Yunnan[J]. Progress in Geophysics, 2015, 30(2): 503-509 (in Chinese).

Modeling Experiment and Anomaly Analysis of Time-varying Gravity Field in South China

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