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| 1 | Crustal structure in Xiaojiang fault zone and its vicinity显示文摘Based on the integrative interpretation of travel-time data and amplitude information obtained from the deep seismic sounding experiment on the Chuxiong-Luoping profile,eastern Yunnan province,carried out in January of 2005,we present a 2-D P wave velocity structure along the profile. The crustal structure shows remarkable contrasts between the two sides of the Xiaojiang fault zone,although the whole profile is situated within the Yangtze platform. The average P wave velocities of the crust on the west and east sides of the fault zone are 6.21 km/s and 6.32 km/s,respectively,and the crustal thicknesses are 41 km and 45 km,respectively. These results imply that the crust to the east of the Xiaojiang fault zone presents characteristics of crustal structure in a stable platform,while the crust to the west is complicated with a lower velocity zone in middle of the upper crust. The average velocity of 6.21 km/s is lower than the global continental crustal average (6.30 km/s),indicating that the region is tectonically active. According to the lateral variation of velocity and depth of interfaces (including the Moho),it is inferred that the Xiaojiang fault zone has cut through the whole crust. It is also deduced that existence of low velocity zone in middle of the upper crust is conducive to the south-southeastern sliding of the SichuanYunnan (Chuan-Dian) rhombus block. | Chunyong Wang Hai Lou Xili Wang Jiazheng Qin Runhai Yang Jinming Zhao | 2009 | Earthquake Science2009，22，4： | 14 |
| 2 | Study on the Influence of Airgun Excitation Conditions on Airgun Signals and Travel Time Variation Measurements显示文摘Because of the different excitation conditions of the airgun source,there will be subtle differences in airgun signals.Travel time variation of airgun signals often mix into source information which can’t fully reflect the evolution of the medium.This article uses the airgun signals from the Binchuan Transmitting Seismic Station to analyze the airgun signal′s characteristics of phase and correlation.We conducted a comparative analysis of the effects of the pair difference method and the deconvolution method on eliminating the influence of the excitation conditions in travel time variation.The results show that:(1)The pressure pulse and its subsequent wave of airgun source wavelet are less affected by excitation conditions that we can use it to obtain high-precision excitation moments.(2)Deconvolution can improve the correlation of the airgun signal.(3)The pair difference method can’t eliminate the influence of excitation conditions in travel time variation.Deconvolution can reduce excitation condition interference and the influence of the excitation condition in the travel time variation after deconvolution of the vertical signal is significantly reduced. | XIANG Ya YANG Runhai WANG Bin ZHOU Yunyao LU Yongqing WU Huan QI Junwei PENG Jing | 2019 | Earthquake Research in China2019，33，2： | 3 |
| 3 | hnage compression scheme based on curvelet transform and support w:ctor machine显示文摘 | Yuancheng Li Qiu Yang Runhai Jiao | 2010 | Expert Systems with Applications : An Inter- national Journal2010，37，4： | 1 |
| 4 | Experimental Study of the Process Zone, Nucleation Zone and Plastic Area of Earthquakes by the Shadow Optical Method of Caustics 显示文摘 | Xu Zhaoyong Yang Runhai Xiong Bingheng | 2002 | PAGEOGH2002，159，9： | 1 |
| 5 | Weak Seismic Signal Extraction Based on the Curvelet Transform显示文摘Seismic signal denoising is a key step in seismic data processing.Airgun signals are easy to be interfered with by noise when it travels a long distance due to the weak energy of active source signal of the airgun.Aiming to solve this problem,and considering that the conventional Curvelet transform threshold processing method does not use the seismic spectrum information,we independently process the Curvelet scale layer corresponding to valid data based on the characteristics of the Curvelet transform of multi-scale,multi-direction and capable of expressing the sparse seismic signals in order to fully excavate the information features.Combined with the Curvelet adaptive threshold denoising the algorithm,we apply the Curvelet transform to denoising seismic signals while retaining the weak information in the signal as much as possible.The simulation experiments show that the improved threshold denoising method based on Curvelet transform is superior to the frequency domain filtering,wavelet denoising and traditional Curvelet denoising method in detailed information extraction and signal denoising of low SNR signals.The calculation accuracy of the relative wave velocity variation of underground medium is improved. | TAN Junqing YANG Runhai WANG Bin XIANG Ya | 2019 | Earthquake Research in China2019，33，2： | 1 |
| 6 | TREATMENT OF FULMINANT LIVER FAILURE WISTAR RATS WITH IMPLANTED ARTIFICIAL CELLS MICROENCAPSULATED LIVING HEPATOCYTES显示文摘TREATMENTOFFULMINANTLIVERFAILUREWISTARRATSWITHIMPLANTEDARTIFICIALCELLSMICROENCAPSULATEDLIVINGHEPATOCYTESSongJichang,LiTao,XuJ... | Song Jichang, Li Tao, Xu Jianheng,Cui Runhai,Gao Ru, Yang Jun, Li Bing(Tianjin Hepato-Binary Disease Research institute,Tianjin, 300170,China) | 1996 | Chinese Journal of Biomedical Engineering(English Edition)1996，5，4： | 0 |
| 7 | The Source and Observation System of Binchuan Earthquake Signal Transmitting Seismic Station and Its Preliminary Observation Results显示文摘This paper summarizes the basic situation of the Binchuan Transmitting Seismic Station and the geophysical observations of the area where it is located,with a focus on the constitution of the observation system of the transmitting seismic station,the excitation characteristics and propagation distance of signals excited by the airgun source in the reservoir and well. The paper also summarizes and discusses on the results of the observations and problems encountered since the Transmitting Seismic Station was built.Finally,this paper proposes the main research to be carried out on the basis of the project aims. | Wang Bin Li Xiaobin Liu Zifeng Yang Jun Yang Runhai Wang Baoshan Yang Wei | 2016 | Earthquake Research in China2016，30，3： | 0 |
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