祝意青, 刘芳, 张国庆, 赵云峰, 隗寿春. 中国流动重力监测与地震预测[J]. 武汉大学学报 ( 信息科学版), 2022, 47(6): 820-829. DOI: 10.13203/j.whugis20220127
引用本文: 祝意青, 刘芳, 张国庆, 赵云峰, 隗寿春. 中国流动重力监测与地震预测[J]. 武汉大学学报 ( 信息科学版), 2022, 47(6): 820-829. DOI: 10.13203/j.whugis20220127
ZHU Yiqing, LIU Fang, ZHANG Guoqing, ZHAO Yunfeng, WEI Shouchun. Mobile Gravity Monitoring and Earthquake Prediction in China[J]. Geomatics and Information Science of Wuhan University, 2022, 47(6): 820-829. DOI: 10.13203/j.whugis20220127
Citation: ZHU Yiqing, LIU Fang, ZHANG Guoqing, ZHAO Yunfeng, WEI Shouchun. Mobile Gravity Monitoring and Earthquake Prediction in China[J]. Geomatics and Information Science of Wuhan University, 2022, 47(6): 820-829. DOI: 10.13203/j.whugis20220127

中国流动重力监测与地震预测

Mobile Gravity Monitoring and Earthquake Prediction in China

  • 摘要: 主要介绍中国大陆流动重力监测网布局、重力测量数据处理及重力前兆信息提取方法、流动重力监测结果所反映的区域重力场动态变化图像及所揭示的构造活动特征。在大量观测资料的基础上,研究重力异常变化与地震孕育发生关系,探索地震预测的研究思路、途径和方法,并积极利用重力观测资料进行地震中期危险性预测研究,及时将研究成果用于震情会商及年度地震趋势预测,为强震预测和年度危险区划定提供了重力学前兆依据。指出了流动重力监测中仍存在的问题,并提出了利用时变重力监测资料推进地震预测研究的设想和思考。

     

    Abstract: This paper mainly introduces the layout of mobile gravity monitoring network in China, and the gravity measurement data processing and extraction method of gravity precursor information. Mobile gravity monitoring results can reflects the image of dynamic evolution of regional gravity field and its tectonic activity characteristic. Based on a large number of observation data, the relationship between gravity variation and earthquake preparation is studied, and the ideas, ways and methods of earthquake prediction research are explored.The mid-term earthquake risk prediction research is carried out by using gravity observation data, and its results are used for earthquake consultation and annual earthquake trend prediction in time, which provide basises for the prediction of strong earthquakes and the delineation of annual dangerous areas in China. this paper points out the existing problems in mobile gravity monitoring in China, and puts forward the idea and thinking of using time-varying gravity monitoring data to promote seismic prediction research.

     

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