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深度神经网络走时拾取的南北地震带北段三维速度结构研究
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作者 张云鹏 王伟涛 +5 位作者 刘影 于子叶 杨微 邹锐 梁浩然 李娜 《地球物理学报》 北大核心 2025年第11期4210-4230,共21页
南北地震带是我国地震灾害频发的重点区域,经历了长期的强烈变形,岩石圈结构复杂.研究该区域高精度速度模型对分析构造特征细节、认识大地震孕育环境和提高地震定位精度等具有重要意义.本文基于南北地震带北段中国地震台网正式观测报告... 南北地震带是我国地震灾害频发的重点区域,经历了长期的强烈变形,岩石圈结构复杂.研究该区域高精度速度模型对分析构造特征细节、认识大地震孕育环境和提高地震定位精度等具有重要意义.本文基于南北地震带北段中国地震台网正式观测报告中2009—2022年的震相数据,结合深度神经网络走时拾取技术在ChinArrayⅡ期台阵中获取的海量到时信息,利用体波层析成像反演获取了研究区域精细的三维速度结构(横向分辨率可达0.25°).研究结果表明新的高分辨率速度模型能够更好地拟合甘肃张掖和刘家峡气枪主动源走时数据,可以更清晰地刻画出断层的形态和两侧速度结构的差异.在浅部地壳,速度分布与地势地形具有良好的一致性.临河盆地、银川盆地、渭河盆地和四川盆地均呈现出明显的低速异常,对应于盆地内部广泛分布的沉积层.祁连造山带和西秦岭造山带表现为明显的高速异常,与青藏高原发生的隆升机制相关.至20 km深度附近,祁连造山带和巴颜喀拉块体开始出现低速异常分布,而四川盆地和鄂尔多斯块体逐渐表现为高速异常,这种趋势一直持续至更深部.重定位后的地震分布在水平方向上相比初始位置可以更清晰地刻画一些断层的几何形态,在深度方向上的分布也更加聚集且更具有规律性,在龙门山断裂带等呈现明显的分段性.另外,大多数地震发生于速度梯度较大,即速度变化较大的区域.一些典型大陆强震震源区均处于高低速异常过渡区域,且震源区下方的中下地壳均呈现低速异常分布,很可能是青藏高原东缘地壳物质向东和向北东方向挤压导致长期构造应变能积累从而导致的大地震的发生. 展开更多
关键词 南北地震带北段 chinarray 深度神经网络走时拾取技术 体波走时成像 地壳速度结构
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Seismic detections of the 15 February 2013 Chelyabinsk meteor from the dense Chin Array 被引量:1
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作者 Lu Li Baoshan Wang +1 位作者 Zhigang Peng Weitao Wang 《Earthquake Science》 CSCD 2016年第4期221-233,共13页
ChinArray is a dense portable broadband seismic network to cover the entire continental China, and the Phase I is deployed along the north-south seismic belt in southwest China. In this study, we analyze seismic data ... ChinArray is a dense portable broadband seismic network to cover the entire continental China, and the Phase I is deployed along the north-south seismic belt in southwest China. In this study, we analyze seismic data recorded on the ChinArray following the February 15, 2013 Chelyabinsk (Russia) meteor. This was the largest known object entering the Earth's atmosphere since the 1908 Tunguska meteor. The seismic energy radiated from this event was recorded by seismic stations worldwide including the dense ChinAn'ay that are more than 4000 km away. The weak signal from the meteor event was con- taminated by a magnitude 5.8 Tonga earthquake occur- red ~ 20 min earlier. To test the feasibility of detecting the weak seismic signals from the meteor event, we compute vespagram and perform F-K analysis to the surface-wave data. We identify a seismic phase with back azimuth (BAZ) of 329.7° and slowness of 34.73 s/deg, corre- sponding to the surface wave from the Russian meteor event (BAZ ) 325.97°). The surface magnitude (Ms) of the meteor event is 3.94 ±0.18. We also perform similar analysis on the data from the broadband array F-net in Japan, and find the BAZ of the surface waves to be 316.61%. With the different BAZs of ChinArray and F-net, we locate the Russian meteor event at 58.80°N, 58.72°E. The relatively large mislocation (-438 km as compared with 55.15°N. 61.41°E by others) may be a result of theweak signals at teleseismic distances. 展开更多
关键词 chinarray Russian meteor event F-K analysis
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Teleseismic body waves extracted from ambient noise cross correlation between F-net and Chin Array phase Ⅱ 被引量:1
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作者 Lin Deng Weitao Wang +1 位作者 Fang Wang Songyong Yuan 《Earthquake Research Advances》 CSCD 2022年第1期33-43,共11页
The vertical-vertical noise cross-correlation functions(NCFs)between two seismic arrays,the Japan F-net and Chin Array phase Ⅱ,are calculated using continuous recordings during 2013-2016.After array interferometry to... The vertical-vertical noise cross-correlation functions(NCFs)between two seismic arrays,the Japan F-net and Chin Array phase Ⅱ,are calculated using continuous recordings during 2013-2016.After array interferometry to obtain bin stacked NCFs,clear body waves are retrieved at different period bands.Teleseismic direct P waves for distance 15-40 degrees are observed between short period 3-10 s while core reflected PcP/ScS waves are more obvious for longer period 30-60 s.The signal-to-noise-ratio(SNR)of the short period P waves reaches its highest point with bin widths around 20 km while SNRs of PcP and ScS increase slowly with bin width.All those body waves demonstrate clear directivity with strong signals traveling from the east.The time-lapse SNR variations for the PcP and ScS show correlation with the occurrence of major earthquakes,while the P-wave SNR demonstrates seasonal variations with additional contribution from major earthquakes.The present results suggest teleseismic body waves can be retrieved through bin stacking,though further processing is still necessary to obtain finer waveforms such as P wave triplications. 展开更多
关键词 Noise cross correlation Body waves Array interferometry chinarray
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SplitRFLab:A MATLAB GUI toolbox for receiver function analysis based on SplitLab
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作者 Mijian Xu Hui Huang +1 位作者 Zhouchuan Huang Liangshu Wang 《Earthquake Science》 CSCD 2016年第1期17-26,共10页
We add new modules for receiver function (RF) analysis in SplitLab toolbox, which includes the manual RF analysis module, automatic RF analysis and related quality control modules, and H-k stacking module. The updat... We add new modules for receiver function (RF) analysis in SplitLab toolbox, which includes the manual RF analysis module, automatic RF analysis and related quality control modules, and H-k stacking module. The updated toolbox (named SplitRFLab toolbox), espe- cially its automatic RF analysis module, could calculate the RFs quickly and efficiently, which is very useful in RF analysis with huge amount of seismic data. China is now conducting the ChinArray project that plans to deploy thousands of portable stations across Chinese mainland. Our SplitRFLab toolbox may obtain reliable RF results quickly at the first time, which provide essentially new constraint to the crustal and mantle structures. 展开更多
关键词 Receiver function - chinarray AutomaticRF analysis
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