摘要
基于地形信息,构造了完全布格异常和完全空间异常的协方差和代表误差模型参数等新统计量,利用某试验区密集的重力和地形数据进行了统计分析,并将计算方案推广到了全国大范围、多区域内的统计计算,给出了6种不同地形类别区域(平原、丘陵、小山区、中山区、大山区、特大山区)的完全空间异常和完全布格异常的方差、协方差以及代表误差模型参数.试验结果表明:依据本文的统计模型、算法与思路,在实际测量数据的支撑下,可以给出全国范围的统计参数的网格值、等值线图等,提供后续重力场相关研究工作使用.
New statistical parameters of covariance and commission error model of complete Bouguer anomalies and Faye anomalies are constructed using terrain information. Statistical analysis is made with the gravity and terrain data in test area, and the calculation scheme is extended to the statistical computation of great areas and various regions in China. Statistical parameters of variance and covariance and commission error model of the above-mentioned gravity anomalies are given in six different terrain regions, such as plain, hill, little mountainous region, medium mountainous region, big mountainous region, and outsize mountainous region. The results show that the grid value, contour map, etc. of complete Bouguer anomalies and Faye anomalies in China can be obtained from the metric data according to the statistical parameters and methods and thoughts in the paper.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2010年第5期1099-1108,共10页
Chinese Journal of Geophysics
基金
全国优秀博士学位论文作者专项基金项目(200344)
国家自然科学基金(40774031)资助
关键词
重力场统计特征
完全布格异常
完全空间异常
协方差模型
代表误差
Gravity statistical characteristics Complete Bouguer anomaly Faye anomaly Covariance mode Commission error