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零漂改正对中国地壳运动观测网络重力数据处理的影响
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  • 英文篇名:Impacts of Zero Drift Correction in CMONOC Data Processing
  • 作者:隗寿春 ; 徐建桥 ; 郝洪涛 ; 韩宇飞
  • 英文作者:WEI Shouchun;XU Jianqiao;HAO Hongtao;HAN Yufei;University of Chinese Academy of Sciences;Second Crust Monitoring and Application Center,CEA;State Key Laboratory of Geodesy and Earth's Dynamics,Institute of Geodesy and Geophysics,CAS;Key Laboratory of Earthquake Geodesy,Institute of Seismology,CEA;National Earthquake Infrastructure Service;
  • 关键词:流动重力测量 ; 零点漂移 ; 平差模型
  • 英文关键词:mobile gravity observation;;zero drift;;adjustment model
  • 中文刊名:DKXB
  • 英文刊名:Journal of Geodesy and Geodynamics
  • 机构:中国科学院大学;中国地震局第二监测中心;中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室;中国地震局地震研究所(地震大地测量重点实验室);地壳运动监测工程研究中心;
  • 出版日期:2017-04-15
  • 出版单位:大地测量与地球动力学
  • 年:2017
  • 期:v.37
  • 基金:国家973计划(2014CB845902);; 国家自然科学基金(41274085,41304059)~~
  • 语种:中文;
  • 页:DKXB201704016
  • 页数:4
  • CN:04
  • ISSN:42-1655/P
  • 分类号:77-80
摘要
基于中国地壳运动观测网络2000年流动重力观测数据,分析18台LCR-G型相对重力仪的零漂特性。结果显示,重力仪零漂率在某些时段变化较大,最大达10μGal/h以上。根据重力仪零漂改正的不同处理方法,利用传统平差模型与改进模型对观测数据进行平差计算,并对结果进行比较。在相同先验中误差的情况下,传统平差模型的后验中误差为39μGal,重力值平均精度为26.5μGal,而改进模型的后验中误差为16.5μGal,重力值平均精度为11.2μGal,远高于传统平差模型。在数据预处理阶段按闭合观测分段进行零漂改正,可以有效消除重力仪零漂剧烈变化的影响,明显优于将仪器零漂率当作固定参数的计算方法。
        Based on CMONOC mobile gravity data from 2000,zero drift characteristics of 18LCR-G relative gravimeters are studied.The results show that zero drift rate of gravimeter may sometime shave a significant change,up to 10μGal/h.Based on different processing methods of zero drift correction,the results of traditional and improved adjustment models are compared.Given the same priori error,the posterior error of the traditional adjustment model is 39μGal,and its average accuracy of gravity value is 26.5μGal;however,for the improved adjustment model,its posterior error is 16.5μGal and the average accuracy of gravity value is 11.2μGal.The accuracy of the improved model is much higher than that of the traditional adjustment model.The comparison shows that computing the zero drift correction by circuit in the data preprocessing can effectively eliminate the error of significant change of zero drift.The improved model is superior to traditional adjustment model that assumes the zero drift as a constant.
引文
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