In this study, we analyze the regional GPS data of Crustal Movement Observation Network of China (CMONOC) observed from 2009-2013 using the BERNESE GPS software, and then the preliminary results of horizontal veloci...In this study, we analyze the regional GPS data of Crustal Movement Observation Network of China (CMONOC) observed from 2009-2013 using the BERNESE GPS software, and then the preliminary results of horizontal velocity field and strain rate field are presented, which could reflect the overall deformation features in the Chinese mainland from 2009-2013. Besides, the velocity error and the probable factors that could influence the estimate of long-term deformation are also discussed.展开更多
In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spat...In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spatial and temporal dimension. The results of ZTD have high accurate and reliable as IGS and all sites with varying locations show obvious variety characteristics of Chinese mainland. Meanwhile, the precipitable water vapor(PWV) correlation coefficients between GPS observation and upper air sounding is close to 1, and the comparison of GPS-derived PWV and observed PWV from meteorological sites indicating GPS observation data generated in CMONOC project applied to the weather forecast research is feasible. In addition, based on all stations covered the whole Chinese land area and using interpolation algorithms, we make contour plots of PWV distribution per hour. We observe obvious feature that the precipitable water in north and western area is less than south and east area all over this year. High latitudes area may be dry and low latitudes area is wet.展开更多
水文负载对中国大陆构造环境监测网络(crustal movement observation network of China,CMONOC)测站坐标时间序列具有重要的影响,而降雨量直接影响了水文负载的量级大小。利用ITRF2014(international terrestrial reference frame 2014...水文负载对中国大陆构造环境监测网络(crustal movement observation network of China,CMONOC)测站坐标时间序列具有重要的影响,而降雨量直接影响了水文负载的量级大小。利用ITRF2014(international terrestrial reference frame 2014)参考框架下CMONOC坐标时间序列、MERRA2(modern-era retrospective analysis for research and applications, version 2)水文负载模型以及中国区域降雨量数据来分析三者之间的关系。结果表明,水文负载对CMONOC测站的影响主要体现在垂直方向上,尤其在珠江流域、长江流域以南、西南以及东南诸河流域,水文负载对测站位移的影响尤为显著,水文负载序列的均方根最大可达5.47 mm。水文负载和降雨量都呈现出较为明显的纬度相关性,纬度越高,其量级越小,二者与纬度的线性拟合优度分别为0.63和0.55;同时,降雨量与水文负载也呈现明显的线性关系,拟合优度为0.49,且随着年均降雨量的增加,水文负载的量级会随之增大。对于周期性信号,降雨量、水文负载以及CMONOC坐标时间序列具有一致性,水文负载的周年振幅和CMONOC坐标时间序列的周年振幅与年均降雨量的拟合优度分别为0.64和0.37。在研究水文负载对GNSS坐标时间序列的影响时,除了土壤湿度、积雪以及冠层水,降雨量也是不可忽略的因素。展开更多
基金supported by Foundation of Institute of Seismology,China Earthquake Administration(201326119)the National Natural Science Foundation of China(41074016,41274027,41304067)
文摘In this study, we analyze the regional GPS data of Crustal Movement Observation Network of China (CMONOC) observed from 2009-2013 using the BERNESE GPS software, and then the preliminary results of horizontal velocity field and strain rate field are presented, which could reflect the overall deformation features in the Chinese mainland from 2009-2013. Besides, the velocity error and the probable factors that could influence the estimate of long-term deformation are also discussed.
文摘In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spatial and temporal dimension. The results of ZTD have high accurate and reliable as IGS and all sites with varying locations show obvious variety characteristics of Chinese mainland. Meanwhile, the precipitable water vapor(PWV) correlation coefficients between GPS observation and upper air sounding is close to 1, and the comparison of GPS-derived PWV and observed PWV from meteorological sites indicating GPS observation data generated in CMONOC project applied to the weather forecast research is feasible. In addition, based on all stations covered the whole Chinese land area and using interpolation algorithms, we make contour plots of PWV distribution per hour. We observe obvious feature that the precipitable water in north and western area is less than south and east area all over this year. High latitudes area may be dry and low latitudes area is wet.
文摘水文负载对中国大陆构造环境监测网络(crustal movement observation network of China,CMONOC)测站坐标时间序列具有重要的影响,而降雨量直接影响了水文负载的量级大小。利用ITRF2014(international terrestrial reference frame 2014)参考框架下CMONOC坐标时间序列、MERRA2(modern-era retrospective analysis for research and applications, version 2)水文负载模型以及中国区域降雨量数据来分析三者之间的关系。结果表明,水文负载对CMONOC测站的影响主要体现在垂直方向上,尤其在珠江流域、长江流域以南、西南以及东南诸河流域,水文负载对测站位移的影响尤为显著,水文负载序列的均方根最大可达5.47 mm。水文负载和降雨量都呈现出较为明显的纬度相关性,纬度越高,其量级越小,二者与纬度的线性拟合优度分别为0.63和0.55;同时,降雨量与水文负载也呈现明显的线性关系,拟合优度为0.49,且随着年均降雨量的增加,水文负载的量级会随之增大。对于周期性信号,降雨量、水文负载以及CMONOC坐标时间序列具有一致性,水文负载的周年振幅和CMONOC坐标时间序列的周年振幅与年均降雨量的拟合优度分别为0.64和0.37。在研究水文负载对GNSS坐标时间序列的影响时,除了土壤湿度、积雪以及冠层水,降雨量也是不可忽略的因素。