引用本文: 梁伟, 徐新禹, 李建成, 黄剑, 李朋远, 刘站科, 陈小英. 联合先验模型和航空重力数据构建适用于局部区域的超高阶重力场模型[J]. 武汉大学学报 ( 信息科学版).
LIANG Wei, XU Xin-yu, LI Jian-cheng, HUANG Jian, LI Peng-yuan, LIU Zhan-ke, CHEN Xiao-ying. Research on Determination of Gravity Field Models in Regional Area Using Airborne Gravity Data and Reference Model[J]. Geomatics and Information Science of Wuhan University.
 Citation: LIANG Wei, XU Xin-yu, LI Jian-cheng, HUANG Jian, LI Peng-yuan, LIU Zhan-ke, CHEN Xiao-ying. Research on Determination of Gravity Field Models in Regional Area Using Airborne Gravity Data and Reference Model[J]. Geomatics and Information Science of Wuhan University.

## Research on Determination of Gravity Field Models in Regional Area Using Airborne Gravity Data and Reference Model

• 摘要: 本文研究联合先验重力场模型和航空重力数据构建适用于区域的超高阶重力场模型的方法，基于逆Poisson积分向下延拓方法和块对角最小二乘的超高阶重力场建模方法，提出了实用化的解算策略，并使用毛乌素测区的实测航空重力数据进行了方法验证。基于毛乌素的航空重力和地面重力，联合SGG-UGM-2模型，采用不同的解算方案，分别计算了适合于毛乌素测区的四个阶次达到3599和2159的超高阶模型RIGM-MWS-1、RIGM-MWS-2、RIGM-MWS-3和RIGM-MWS-4，测区内的GNSS/水准数据的外部精度检验结果说明：融入航空重力数据后，适用于区域的模型的大地水准面精度相比先验模型有了显著提升，最高可达44.8%。实验结果验证了本文提出的联合先验重力场模型和航空重力数据构建适用于区域的超高阶重力场模型的思路是合理可行的，可以提升全球模型在局部区域的适用性。

Abstract: Objectives: This paper focuses on determination of gravity field models in regional areas using airborne gravity data and reference gravity field model. Methods: The practical strategy is proposed to improve global models with airborne gravity data based on downward continuation method with the inverse Poisson’s integral and block-diagonal least squares method. The proposed strategy is evaluated in an experiment, in which four regionally improved gravity field models in Maowusu area RIGM-MWS-1, RIGM-MWS-2, RIGM-MWS-3 and RIGM-MWS-4 are computed with real airborne gravity data, terrestrial gravity data and a reference model SGG-UGM-2. Results: The four models are validated with GNSS/Leveling data in Maowusu area, which shows that the improved models perform nearly 44.8% better than the reference model in the GNSS/Leveling validation. Conclusions: The result of the experiment shows that the strategy to improve global gravity field model regionally with airborne gravity data is reliable and airborne gravity data can be valuable observations to improve the global gravity field model in regional area.

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