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列车区间运行时分动态特性研究 被引量:7
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作者 查伟雄 熊桂林 《系统工程》 CSCD 北大核心 2001年第1期47-51,共5页
从对列车区间运行时分的动态特性的分析出发 ,利用数理统计中随机变量在一定置信水平下的区间特征 ,分析了列车区间运行时分的时间标准、列车运行图缓冲时间的影响 ,从而为列车运行图的编制、调整和评价提供了有效的参考。
关键词 列车运行图 区间运动时分 缓冲时间 数理统计 铁路运输
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Analysis of Abnormal Characteristics of Regional Crustal Deformation before the Menyuan MS6.4 Earthquake by GPS Continuous Data 被引量:2
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作者 Ma Haiping Feng Jiangang +1 位作者 Guo Peng Shi Xuelu 《Earthquake Research in China》 CSCD 2017年第2期234-238,共5页
In order to study the characteristics of crustal deformation around the epicenter before the 2016 M_S6. 4 Menyuan earthquake,the GPS continuous stations of the period from 2010 to 2016 were selected according to the o... In order to study the characteristics of crustal deformation around the epicenter before the 2016 M_S6. 4 Menyuan earthquake,the GPS continuous stations of the period from 2010 to 2016 were selected according to the observation data of the tectonic environment monitoring network in Chinese Mainland. The deformation characteristics of the crust before the earthquake were discussed through inter-station baseline time series analysis and the strain time series analysis in the epicentral region. The results show that a trend turn of the baseline movement state around the epicenter region occurred after 2014,and the movement after 2014 reflects an obvious decreasing trend of compressional deformation.During this period,the stress field energy was in a certain accumulation state. Since the beginning of 2014,the EW-component linear strain and surface strain rate weakened gradually before the earthquake. It shows that there was an obvious deformation deficit at the epicentral area in the past two years,which indicates that the region accumulated a high degree of strain energy before the earthquake. Therefore,there was a significant background change in the area before the earthquake. The results of the study can provide basic research data for understanding the seismogenic process and mechanism of this earthquake. 展开更多
关键词 Menyuan Ms6. 4 earthquake GPS reference station Baseline time series Strain time series
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