基于重力场模型的高程异常拟合精度分析

Accuracy Analysis of Elevation Anomaly Fitting Based on Gravity Field Model

摘要: 为探究不同重力场模型在高程异常拟合中的适用性，本文结合移去恢复法与二次曲面拟合模型，分别利用EGM96、EGM2008和XGM2019三种重力场模型，对新疆某水利工程地区的GNSS与三等水准重合点数据进行高程异常拟合实验。通过检核点残差与拟合中误差评价各模型的拟合精度。结果表明，XGM2019模型的拟合残差分布最为平稳，拟合中误差为0.0354 m，精度优于EGM2008模型的0.0392 m和EGM96模型的0.0458 m，在局部地形起伏较多的区域表现出更高的拟合可靠性和稳定性。

Abstract: In order to explore the applicability of different gravity field models in fitting elevation anomalies, this paper combines the removal recovery method and the quadratic surface fitting model, and uses three gravity field models, namely EGM96, EGM2008, and XGM2019, to conduct elevation anomaly fitting experiments on GNSS and third-order leveling coincidence point data in a water conservancy project area in Xinjiang. Evaluate the fitting accuracy of each model by checking point residuals and fitting mean square errors. The results showed that the residual distribution of the XGM2019 model was the smoothest, with a mean square error of 0.0354 m, and its accuracy was better than that of the EGM2008 model at 0.0392 m and the EGM96 model at 0.0458 m. It exhibited higher fitting reliability and stability in areas with more local terrain undulations.