The emerging of Wireless Sensor Network (WSN) technology has brought new opportunities for data intensive observation in eco-hydrological research and environment monitoring. To make up for the insufficiencies of spac...The emerging of Wireless Sensor Network (WSN) technology has brought new opportunities for data intensive observation in eco-hydrological research and environment monitoring. To make up for the insufficiencies of space observation data for models in eco-hydrology processes research of inland river basin which constrain the construction of accurate modeling and simulation, a sub-basin of the Heihe River Basin named Hulugou has been selected to perform the deployment and research for wireless sensor network from the perspective of eco-hydrology. In this paper, we discussed the system framework, the demonstration research area, the deployment of sensor nodes and the network topology of wireless sensor network. Finally, the study has summarized existing problems and experiences of wireless sensor network in these eco-hydrological applications and the available researches in hard environment. In the future, we will deploy a large number of sensor nodes in the long-term fine-grained eco-hydrological elements observing environment to form lots of homogeneous or heterogeneous wireless sensor networks.展开更多
基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进...基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进行总结;在此基础上,按照“EOPI”产品中不同类型观测序列进行分类,对比分析了不同分析中心、不同观测类型的UT1-UTC结果差异。结果表明,不同分析中心的解算精度最大差异在0.02ms左右;对比不同观测类型,INT2观测解算精度优于“INT1”、“INT3”和“VLBA”观测,与IERS C04产品相比,UT1-UTC精度为0.02-0.03ms,其余EOP产品精度约0.04ms。展开更多
文摘The emerging of Wireless Sensor Network (WSN) technology has brought new opportunities for data intensive observation in eco-hydrological research and environment monitoring. To make up for the insufficiencies of space observation data for models in eco-hydrology processes research of inland river basin which constrain the construction of accurate modeling and simulation, a sub-basin of the Heihe River Basin named Hulugou has been selected to perform the deployment and research for wireless sensor network from the perspective of eco-hydrology. In this paper, we discussed the system framework, the demonstration research area, the deployment of sensor nodes and the network topology of wireless sensor network. Finally, the study has summarized existing problems and experiences of wireless sensor network in these eco-hydrological applications and the available researches in hard environment. In the future, we will deploy a large number of sensor nodes in the long-term fine-grained eco-hydrological elements observing environment to form lots of homogeneous or heterogeneous wireless sensor networks.
文摘基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进行总结;在此基础上,按照“EOPI”产品中不同类型观测序列进行分类,对比分析了不同分析中心、不同观测类型的UT1-UTC结果差异。结果表明,不同分析中心的解算精度最大差异在0.02ms左右;对比不同观测类型,INT2观测解算精度优于“INT1”、“INT3”和“VLBA”观测,与IERS C04产品相比,UT1-UTC精度为0.02-0.03ms,其余EOP产品精度约0.04ms。
