| 基于重力卫星数据监测地表质量变化的三维点质量模型法 |
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| 引用本文： | 苏勇, 于冰, 游为, 肖东升, 王继燕, 秦毅坤. 2017. 基于重力卫星数据监测地表质量变化的三维点质量模型法. 地球物理学报, 60(1): 50-60, doi: 10.6038/cjg20170105 |
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| 作者姓名： | 苏勇 于冰 游为 肖东升 王继燕 秦毅坤 |
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| 作者单位： | 1. 西南石油大学土木工程与建筑学院, 成都 610500; 2. 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, 武汉 430077; 3. 西南交通大学地球科学与环境工程学院, 成都 611756 |
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| 基金项目： | 国家自然科学基金（41574018，41404018），大地测量与地球动力学国家重点实验室开放基金（SKLGED2017-2-1-E）和西南石油大学青年教师过学术关（201699010050）联合资助. |
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| 摘 要： | 利用卫星重力测量手段监测全球质量变化取得了巨大成功，本文基于牛顿万有引力定律在三维空间直角坐标系中导出利用重力卫星观测数据监测全球质量变化的三维点质量模型法，该方法可直接利用重力卫星的轨道和星间观测数据或时变重力场模型计算全球质量变化，由于利用卫星观测数据计算地表质量变化的向下延拓过程以及观测数据噪声的影响，需要采用合适的空间约束方程或正则化技术对解算结果进行约束或平滑处理.利用合成全球质量变化模型模拟一个月的GRACE双星轨道和星间距离变率数据计算全球质量变化，对三维点质量模型法进行分析验证，采用零阶Tikhonov正则化技术处理病态问题.结果表明，三维点质量模型法可有效用于重力卫星观测数据监测全球质量变化，为利用重力卫星观测数据监测全球质量变化提供一种可选的途径.
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| 关 键 词： | 卫星重力测量 全球质量变化 三维点质量模型法 |
| 收稿时间： | 2016-08-03 |
| 修稿时间： | 2016-11-09 |
Surface mass distribution from gravity satellite observations by using three-dimensional point-mass modeling approach |
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| SU Yong, YU Bing, YOU Wei, XIAO Dong-Sheng, WANG Ji-Yan, QIN Yi-Kun. 2017. Surface mass distribution from gravity satellite observations by using three-dimensional point-mass modeling approach. Chinese Journal of Geophysics (in Chinese), 60(1): 50-60, doi: 10.6038/cjg20170105 |
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| Authors: | SU Yong YU Bing YOU Wei XIAO Dong-Sheng WANG Ji-Yan QIN Yi-Kun |
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| Affiliation: | 1. School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China; 2. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China; 3. Faculty of Geoscience and Environment Engineering, Southwest Jiaotong University, Chengdu 611756, China |
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| Abstract: | Mass change on the Earth's surface derived from gravity satellite data is studied in recent decades. In this study, the three-dimensional point-mass modeling approach (3D-PMA), a new method expressed in the three-dimensional Cartesian coordinate system, is investigated to detect the Earth's surface mass distribution from gravity satellite measurements based on the Newton's law of gravitation. Based on this method, the mass distribution could be calculated by directly using gravity satellite orbit and inter-satellite observations or intermediate pseudo-obervation derived from temporal spherical harmonic coefficients. The surface mass distribution computed from the satellite measurements is a downward continuation processing, and at the same time, satellite observations contains noise, so some proper time-space constraint information or regularization techniques are necessarily adopted to stabilize or smooth the solutions. In order to evaluate the performance of the three-dimensional point-mass modeling approach, the mass distribution is computed from one month GRACE-like orbit and K-band range-rate data which is simulated by synthetic global mass change model. The zero-order Tikhonov regularization is used to stabilize the ill-posed inverse problem caused by the downward continuation. The simulation results show that the three-dimensional point-mass modeling approach is an efficacious approach to derive surface mass change from satellite measurements or temporal harmonic solutions. In general, this method provides an alternative way to monitor global mass change by using gravity satellite data. |
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| Keywords: | Satellite gravity measurements Global mass change Three-dimensional point-mass modeling approach |
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