吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (5): 1572-1581.doi: 10.13278/j.cnki.jjuese.201705305

• 地球探测与信息技术 • 上一篇    下一篇

基于Hyposat和HypoDD的山东地区地震波一维速度模型

崔鑫1,2, 李铂1, 朱元清3, 李亚军1, 穆娟1, 王峰1   

  1. 1. 山东省地震局, 济南 250014;
    2. 中国地震局地球物理研究所, 北京 100081;
    3. 上海市地震局, 上海 200062
  • 收稿日期:2017-02-07 出版日期:2017-09-26 发布日期:2017-09-26
  • 作者简介:崔鑫(1983),男,博士研究生,工程师,主要从事地震定位和时频分析研究,E-mail:xc_0071@163.com
  • 基金资助:
    中国地震局项目(161504);山东省地震局科研基金项目(JJ1703Y)

One-Dimension Seismic Velocity Model of Shandong Province Based on Hyposat and HypoDD

Cui Xin1,2, Li Bo1, Zhu Yuanqing3, Li Yajun1, Mu Juan1, Wang Feng1   

  1. 1. Earthquake Administration of Shandong Province, Jinan 250014, China;
    2. Institute of Geophysics, CEA, Beijing 100081, China;
    3. Earthquake Administration of Shanghai Province, Shanghai 200062, China
  • Received:2017-02-07 Online:2017-09-26 Published:2017-09-26
  • Supported by:
    Supported by Project of China Earthquake Administration (161504) and Project of Shandong Earthquake Agency of Province(JJ1703Y)

摘要: 本文收集了2009—2016年山东地区M≥0.1的1 554次地震事件及其走时数据,对该地区地震波一维速度模型进行了研究。首先,使用走时曲线拟合、折合走时曲线分析等方法给出了山东地区地震波一维速度结构模型的初始模型以及参考变化范围;然后,精选55次震相较为丰富的地震事件,用Hyposat方法进行批量重定位,根据残差以及地球物理背景给出P波参考模型,之后对理论波速比加入合理的扰动,对所有P波和S波速度模型组合进行批量地震重定位,根据残差结果极小值获得了最优的P波和S波速度模型;最后,利用多重检验方法对最优模型进行检验,包括天然及非天然地震事件检验、3种定位水平差异检验、4种定位深度差异检验以及乳山和长岛震群的双差定位检验,最终获得了较为可靠的山东地区地震波一维速度模型:vP1=6.13 km/s,vP2=6.88 km/s,vP3=7.93 km/s,H1=22 km,H2=33 km,vS1=3.54 km/s,vS2=3.95 km/s,vS3=4.46 km/s。另外,本文发现,单纯型等非线性算法的定位结果对于速度模型依赖性较低,反之Geiger类型的线性迭代定位方法则较为依赖速度模型。

关键词: 地震, 一维速度模型, 定位, 山东

Abstract: We collected earthquakes with local magnitude above 1.0 and travel time data in Shandong area from the year 2009 to 2016, and calculated one-dimension seismic velocity model. The process mainly included three steps:1)Initial model:to fit the travel time data and analyze the reduced travel time curve, eventually to get the initial model and its span; 2) Best model:to relocate the selected events of all possible models based on Hyposat software, according to the RMS and geophysical background, to get the best model of P phase and the possible model of S phase through adding a reasonable variable to theoretical seismic velocity ratio, then to relocate events of all models according to the RMS, and finally to reveal the best model; 3) Model test:to test the best model by using the test of natural earthquake event, blast event, horizontal epicenter comparison of three location methods, depth comparison of four location methods, HypoDD epicenter comparison of Rushan and Changdao earthquake clusters, and ultimately to get the best model. The one-dimension seismic velocity model in Shandong is:vP1=6.13 km/s, vP2=6.88 km/s, vP3=7.93 km/s, H1=22 km, H2=33 km, vS1=3.54 km/s, vS2=3.95 km/s, vS3=4.46 km/s. Besides, the location accuracy of nonlinear algorithm such as simplex generally is less dependent on the seismic velocity model; whereas the linear iterative positioning method based on the Geiger algorithm is more dependent on the seismic velocity model.

Key words: earthquake, one-dimension seismic velocity model, earthquake location, Shandong

中图分类号: 

  • P631.4
[1] Dziewonski A M, Anderson D L. Preliminary Refe-rence Earth Model[J]. Physics of the Earth & Planetary Interiors, 1981, 25(4):297-356.
[2] 朱介寿, 曹家敏, 蔡学林,等. 东亚及西太平洋边缘海高分辨率面波层析成像[J]. 地球物理学报, 2002, 45(5):646-664. Zhu Jieshou, Cao Jiamin, Cai Xuelin, et al. High Resolution Surface Wave Tomography in East Asia and West Pacific Marginal Seas[J]. Chinese Journal of Geophysics, 2002, 45(5):646-664.
[3] Pan Y, Xia J, Xu Y, et al. Delineating Shallow S-Wave Velocity Structure Using Multiple Ambient-Noise Surface-Wave Methods:An Example from Western Junggar, China[J]. Bulletin of the Seismological Society of America, 2016, 106(2):327-336.
[4] Mohanty D, Singh A, O'Driscoll J, et al. P Wave Velocity Structure Below India and Tibet Incorporating Anisotropic Delay Time Effects[J]. Geochemistry Geophysics Geosystems, 2016, 17(3):725-738.
[5] 薛林福, 李文庆, 张伟,等. 分块区域三维地质建模方法[J]. 吉林大学学报(地球科学版), 2014, 44(6):2051-2058. Xue Linfu, Li Wenqing, Zhang Wei, et al. A Method of Block-Divided 3D Geologic Modeling in Regional Scale[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(6):2051-2058.
[6] 曾融生, 孙为国, 毛桐恩,等. 中国大陆莫霍界面深度图[J]. 地震学报, 1995(3):322-327. Zeng Rongsheng, Sun Weiguo, Mao Tong'en, et al. China Mainland Moho Boundary Depth Map[J]. Acta Seismologica Sinica, 1995(3):322-327.
[7] Watts B. Isostasy andFlexures of Lithosphere[M]. Cambridge:Cambridge University Press, 2001.
[8] Geiger L. Probability Method for the Determination of Earthquake Epicenters from Arrival Time Only[J]. Bull St Louis Univ, 1912, 8:60-71.
[9] Nelson D, John V. Earthquake Locations by 3-D Fi-nite-Difference Travel Times[J]. Bull Seism Soc Am, 1990, 80(2):395-410.
[10] Prugger F, Gendzwill J. Microearthquake Location:A Nonlinear Approach that Makes Use of a Simplex Stepping Procedure[J]. Bull Seism Soc Am, 1988, 78(2):799-815.
[11] Douglas A. Joint Epicenter Determination[J]. Na-ture, 1976, 215:45-48.
[12] Pujol J. Joint Event Location:The JHD Technique and Applications to Data from Local Seismic Networks[C]//Thurber C, Rabinowitz N. Advances in Seismic Event Location.[S. l.]:Kluwer Academic Publishers, 2000:163-204.
[13] Crosson R S. Crustal Structure Modeling of Earth-quake Data:1:Simultaneous Least Squares Estimation of Hypocenter and Velocity Parameters[J]. J Geophys Res, 1976, 81(17):3036-3046.
[14] Aki K, Lee K. Determination of Three-Dimensional Velocity Anomalies Under a Seismic Array Using First P Arrival Times from Local Earthquakes:Part 1:A Homogeneous Initial Model[J]. J Geophys Res, 1976, 81(23):4381-4399.
[15] Aki K, Christoffersson A, Eystein H. Determination of the Three-Dimensional Seismic Structure of the Lithosphere[J]. J Geophys Res, 1977, 82(2):277-296.
[16] 朱元清, 石耀霖, 李平. 一种确定地震深度的新方法[J]. 地震地磁观测与研究, 1990, 11(2):4-12. Zhu Yuanqing, Shi Yaolin, Li Ping. A New Method to Determine Earthquake Depth[J]. Seismological and Geomagnetic Observation and Research, 1990, 11(2):4-12.
[17] Thurber C H. Nonlinear Earthquake Location:Theo-ry and Examples[J]. Bull Seism Soc Am, 1985, 75(3):779-790.
[18] Billing S D, Sambridge M S, Kennet B L N. Errors in Hypocenter Location:Picking, Model, and Magnitude Dependence[J]. Bull Seism Soc Am, 1994, 84(6):1978-1990.
[19] Waldhauser F, Ellsworth W L. A Double-Difference Earthquake Location Algorithm:Method and Application to the Northern Hayward Fault, California[J]. Bull Seism Soc Am, 2000, 90 (6):1353-1368.
[20] 林怀存. 山东地区近震地震波速与地壳结构[J]. 华北地震科学, 1989(3):82-90. Lin Huaicun. Local Seismic Velocity and Crust Model of Shandong Area[J]. North China Earthquake Sciences, 1989(3):82-90.
[21] 李铂, 崔鑫, 叶庆东,等. 山东地区地震波一维速度模型研究[J]. 华北地震科学, 2012(4):1-6. Li Bo, Cui Xin, Ye Qingdong, et al. Seismic One-Dimension Velocity Model Research[J]. North China Earthquake Sciences, 2012(4):1-6.
[22] 黄建平,傅容珊, 许萍,等. 利用重力和地形观测反演中国及临区地壳厚度[J]. 地震学报,2006,28 (3):250-258. Huang Jianping, Fu Rongshan, Xu Ping, et al. Inversion of Gravity and Topography Data for the Crust Thickness of China and Its Adjacency[J]. Acta Seismologica Sinica, 2006,28 (3):250-258.
[23] 孙耀庭, 徐守余, 张世奇,等. 山东昌乐凹陷油页岩地球化学特征及成因探讨[J]. 吉林大学学报(地球科学版), 2015, 45(3):736-742. Sun Yaoting, Xu Shouyu, Zhang Shiqi, et al. Geochemical Characteristics and Genesis of the Oil Shale in Changle Sag of Shandong Province[J]. Journal of Jilin University(Earth Science Edition), 2015, 45(3):736-742.
[24] 王淑萍, 徐守余, 董春梅, 等. 东营凹陷民丰洼陷北带沙四下亚段深层天然气储层成岩作用[J]. 吉林大学学报(地球科学版), 2014, 44(6):1747-1759. Wang Shuping, Xu Shouyu, Dong Chunmei, et al. Diagenesis Characteristics of Deep Natural Gas Reservoirs in Es4x in the North Zone of Minfeng Sag in Dongying Depression[J]. Journal of Jilin University (Earth Science Edition), 2014, 44(6):1747-1759.
[25] 代杰瑞, 喻超, 张杰,等. 山东半岛蓝色经济区土壤有机碳储量及固碳潜力分析[J]. 吉林大学学报(地球科学版), 2014, 44(5):1659-1668. Dai Jierui, Yu Chao, Zhang Jie, et al. Analysis on Soil Organic Carbon Storage and the Potential for Carbon Sequestration in the Blue Economic Zone of Shandong Peninsula[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(5):1659-1668.
[26] 黄超, 余朝华, 张桂林,等. 郯庐断裂中段新生代右行走滑位移[J]. 吉林大学学报(地球科学版), 2013, 43(3):820-832. Huang Chao, Yu Chaohua, Zhang Guilin, et al. Cenozoic Dextral Strike-Slip Displacement of the Middle Tan-Lu Fault Zone[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3):820-832.
[27] 邱毅, 金星, 蔡辉腾,等. 利用人工地震研究福建地壳一维速度结构[J]. 地震工程与工程振动, 2014,34(增刊1):1071-1076. Qiu Yi, Jin Xing, Cai Huiteng, et al. Fujian Crustal One-Dimension Velocity Model Using Artificial Earthquakes[J]. Earthquake Engineering and Engineering Dynamics, 2014, 34(Sup.1):1071-1076.
[28] 王小娜, 于湘伟, 章文波,等. 龙门山断裂带南段地壳一维P波速度结构[J]. 地震研究, 2015, 38(1):16-24. Wang Xiaona, Yu Xiangwei, Zhang Wenbo, et al. 1D P Wave Velocity in the South Segment of Longmenshan Fault Zone[J]. Journal of Seismological Research, 2015, 38(1):16-24.
[29] 范玉兰, 林纪曾, 胡瑞贺, 等. 华南地区近震走时表的研制[J]. 华南地震, 1990, 10(2):1-16. Fan Yulan, Lin Jizeng, Hu Ruihe, et al. The Development of Travel Time Table for Near Earthquake in South China[J]. South China Seismological Journal, 1990, 10(2):1-16.
[1] 王振军. 油气储层裂缝预测进展[J]. 吉林大学学报(地球科学版), 2026, 56(2): 469-482.
[2] 黄华, 王圆圆, 裴志勇, 邓小芹, 方火浪. 设防地震作用下深厚覆盖层上土石混合体高填方人工半岛动力反应及抗震性能[J]. 吉林大学学报(地球科学版), 2026, 56(2): 598-610.
[3] 黄兴国, 翁央央, 韩丽. 基于广义递归卷积的孔隙黏弹地震波正演模拟[J]. 吉林大学学报(地球科学版), 2026, 56(1): 377-385.
[4] 高全明, 尚复庆, 柴进, 王一, 孙伟, 赵静. 基于MagTrack-CNN的磁性目标运动轨迹实时定位跟踪方法[J]. 吉林大学学报(地球科学版), 2025, 55(6): 2088-2099.
[5] 刘财, 张焱喆, 刘洋. 地震数据非平稳特征分析综述[J]. 吉林大学学报(地球科学版), 2025, 55(6): 2132-2152.
[6] 田广, 赵岩. 信噪比约束的可调节振幅补偿算子反Q滤波方法[J]. 吉林大学学报(地球科学版), 2025, 55(4): 1351-1360.
[7] 王志勇, 刘国昌, 王梓旭, 郭严粮, 秦晨.

基于振幅一致性残差卷积编码-解码器的不规则缺失数据重建 [J]. 吉林大学学报(地球科学版), 2025, 55(4): 1336-1350.

[8] 董春峰, 张岩, 刘小秋, 董宏丽. 基于改进U-Net的微地震事件识别方法[J]. 吉林大学学报(地球科学版), 2025, 55(3): 970-986.
[9] 耿鑫, 王长鹏, 张春霞, 张讲社, 熊登. 基于多尺度特征自注意力模型的地震数据重建方法[J]. 吉林大学学报(地球科学版), 2025, 55(3): 1001-1013.
[10] 巴忠臣, 秦军, 华美瑞, 张宗斌, 秦赛赛, 张稳. 隐蔽性微小断裂智能识别技术在准噶尔盆地MH1井区的应用[J]. 吉林大学学报(地球科学版), 2025, 55(2): 612-626.
[11] 靳雪彬, 李丙喜, 张振国, 雷茂盛, 安利双, 丁恺. 匹配追踪分频谱蓝化在叠后地震提频中的应用[J]. 吉林大学学报(地球科学版), 2025, 55(2): 646-656.
[12] 李学杰, 田成静, 钟和贤, 张江勇, 廖志良. 南海晚更新世以来火山玻璃分布特征与物源分析[J]. 吉林大学学报(地球科学版), 2025, 55(1): 1-14.
[13] 孔庆翰, 吕子强, 张广伟. 基于密集台阵的辽宁老虎台矿区微震事件重定位[J]. 吉林大学学报(地球科学版), 2024, 54(5): 1685-1695.
[14] 徐杨杨, 商耀达, 孙建国. 基于预条件广义逐次超松弛迭代法的数值格林函数计算方法[J]. 吉林大学学报(地球科学版), 2024, 54(5): 1696-1710.
[15] 李昊轩, 王清岩, 钟蔚岭, 盛洁, 李苓豪, 金赠伍. IR-90全液压铁钻工夹持定位精度及其影响因素[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1305-1315.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 崔建军, 刘晓春, 胡娟, 曲玮. 桐柏杂岩中印支期变质岩包体的变质作用[J]. J4, 2009, 39(4): 618 -629 .
[2] 尤敏鑫,刘建民. 同位素地球化学在峨眉山大火成岩省研究中的应用现状与进展[J]. 吉林大学学报(地球科学版), 2014, 44(4): 1231 -1243 .
[3] 杨春梅, 李洪奇,陆大卫,张方礼,高 原,邵英超. 不同驱替方式下岩石电阻率与饱和度的关系[J]. J4, 2005, 35(05): 667 -671 .
[4] 祝洪臣,张炯飞,权 恒. 大兴安岭中生代两期成岩成矿作用的元素、同位素特征及其形成环境[J]. J4, 2005, 35(04): 436 -0442 .
[5] 朱建伟, 赵刚, 刘博, 郭巍, 成俊. 油页岩测井识别技术及应用[J]. J4, 2012, 42(2): 289 -295 .
[6] 陈力,梁海安,张文娟,荣帆. 模糊数学方法在城市工程地质环境区划中的应用--以抚顺市城区为例[J]. J4, 2008, 38(5): 837 -0840 .
[7] 高桂梅,苏 克,王文颖,甘树才,刘招君. 吉林省桦甸油页岩中稀土元素和微量元素的研究[J]. J4, 2006, 36(6): 974 -0979 .
[8] 吴孔运,蒋忠诚,叶 晔. 不同植物群落对灰岩试块溶蚀速率的影响[J]. J4, 2007, 37(5): 967 -0971 .
[9] 周彦章,迟宝明,刘中培. 山东夏甸金矿床充水机理构造控制模式[J]. J4, 2008, 38(2): 255 -0260 .
[10] 张渊,刘连登,孙景贵,陈国华,张洪喜,闫复传,杨开春. 胶东西北部黄埠岭金矿床两期次叠加成矿[J]. J4, 2008, 38(1): 21 -0026 .