| 陆态网基准站高程时间序列的环境负载效应分析 |
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| 引用本文： | 孙之远,李岩林,魏娜.陆态网基准站高程时间序列的环境负载效应分析[J].全球定位系统,2022,47(6):60-66. |
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| 作者姓名： | 孙之远 李岩林 魏娜 |
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| 作者单位： | 1.武汉大学 测绘学院, 武汉 430079 |
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| 基金项目： | 国家自然科学基金(42174028)；武汉市科技计划项目(2020010601012186) |
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| 摘 要： | GPS坐标时间序列呈现显著的季节性变化，以中国大陆构造环境监测网络(CMONOC) 233个GPS测站的高程方向坐标时间序列为研究对象，通过计算环境负载效应改正前后的均方根(RMS)减少率，对比了德国波茨坦地学研究中心(GFZ)与法国斯特拉斯堡大学提供的EOST不同环境负载产品对CMONOC坐标时间序列数据的改善程度. 统计结果表明:经过GFZ环境负载产品和EOST环境负载产品改正后分别有90.2%和75.54%的测站RMS减小，说明GFZ的环境负载产品对CMONOC基准站坐标时间序列数据的改善效果更好. 同时发现环境负载效应不仅对GPS坐标时间序列中的季节项有明显的改正效果，对非季节项的改善效果也非常明显，经过GFZ提供的环境负载产品改正后有87.8%的GPS测站周年项振幅削弱，有82.4%的测站非季节项的RMS减小.
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| 关 键 词： | 环境负载效应 GPS高程时间序列 地表质量负载 中国大陆构造环境监测网络(CMONOC) 均方根(RMS)分析 周年振幅分析 |
| 收稿时间： | 2022-10-10 |
Analysis of environmental loading corrections on CMONOC vertical coordinate time series |
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| Affiliation: | 1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China2.GNSS Research Center, Wuhan University, Wuhan 430079, China |
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| Abstract: | GPS coordinate time series show significant seasonal variations. We here study the vertical coordinate time series of 233 GPS stations in Crustal Movement Observation Network of China (CMONOC). Based on the root mean square (RMS) reduction ratio of coordinate time series with and without the environmental loading corrections, we quantify the improvements of CMONOC coordinate time series with the corrections of different environmental loading products provided by Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ) and EOST. The statistical results show that the RMS of 90.2% and 75.54% of the stations are reduced after the correction of the environmental loading product provided by GFZ and EOST respectively. It shows that the loading products of GFZ have better performance to explain the non-linear variations of the verticals than those of EOST. It is also found that the environmental loading corrections not only have a significant improvement effect on the seasonal part of GPS verticals, but also on the non-seasonal part. After the loading correction of GFZ, the annual amplitude of 87.8% of GPS stations is decreased, and the RMS of the non-seasonal part of 82.4% of the stations is reduced. |
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