迭代重构算法在三维水汽场构建中的应用  

Application of Simultaneous Iterative Reconstruction Algorithm in the Construction of Three-dimensional Water Vapor Fields

作　　者：张尊良 王生辉[1] 杨志宏[1] ZHANG Zunliang;WANG Shenghui;YANG Zhihong(The Institute of Seawater Desalination and Multipurpose Utilization,SOA,Tianjin,300192,China)

机构地区：[1]国家海洋局天津海水淡化与综合利用研究所海岛水资源利用与研究中心,天津300192

出　　处：《北京测绘》2018年第8期938-943,共6页Beijing Surveying and Mapping

基　　金：中央级公益性科研院所基本科研业务费专项资金(K-JBYWF-2015-G35)

摘　　要：水汽是大气中活跃而富有变化的成分,在大气能量传输和天气系统的演变中起着非常重要的作用。以GPS斜路径湿延迟(SWD)为观测值,通过附加水平约束和垂直约束条件,建立联合观测方程,采用迭代重构算法,可以重构局地上空的三维水汽空间分布。结果表明:联合迭代重构算法要优于代数重构算法;在香港地基、渤海区域GPS三维水汽层析解算中,初值分别选用无线电探空资料、MM5探空资料得到的大气湿折射率的精度更高;最佳松弛因子的选取是算法实现关键,文中以均方根差RMS作为迭代质量优劣的标准对最优松弛因子进行搜索。Water vapor is an active and varied component of the atmosphere and plays a very important role in atmospheric energy transport and evolution of weather systems. The joint observation equation can be established by observing GPS SWD values and adding horizontal and vertical constraint conditions. Establishment of the joint observation equation and adoption of simultaneous iterative reconstruction algorithm can reconstruct the three-dimensional water vapor spatial distribution over the ground. The results show that atmospheric wet refractive index obtained by using radiosounding materials as initial values is more accurate in the GPS three-dimensional water vapor chromatography of the foundation in Hong Kong. And, when searching the best relaxation factors by the standard of RMS, the best relaxation factor is not fixed in different time and regions, which means the best relaxation factor search still needs further study.

关 键 词：迭代重构算法 水汽层析 湿折射率 精密单点定位 

分 类 号：P228.4[天文地球—大地测量学与测量工程]