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The Use of Gravity Reductions in the Indirect Strapdown Airborne Gravimetry Processing

机译:在间接结构载气体重量加工中使用重力降低

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Strapdown airborne gravimetry (SAG) is one of the most efficient techniques used in geodesy and geophysics for acquiring gravity data on relatively large regions in a faster and cost-effective way or to fill in the gravity data gaps on areas where it is neither practical nor possible to make terrestrial measurements. Recent studies have shown that accuracies of 1 mGal and precision of sub-mGal levels are possible with the strapdown inertial systems modified for gravimetry (e.g., temperature stabilization). Besides the advancements in the instrumentation, data processing and integration algorithms are evolving consistently. This study investigates the contribution of long- and short-wavelength gravity reductions following the remove-restore procedure in the indirect SAG processing, where the gravity disturbance at flight altitude is modeled stochastically as an additional system state in the Kalman filter sense. The proposed method is implemented to the airborne data collected in central Turkey in 2018 with a thermally stabilized strapdown inertial measurement unit of navigation-grade type. The inclusion of the long- and short-wavelength gravity reductions in the SAG processing limits the in-run bias variations of the Z-accelerometer and changes the parameters of the third-order Gauss-Markov gravity state model significantly. Utilization of the reduced gravity disturbance in the processing provides better long-wavelength stability in the solution by reducing the mean bias of about 2.60 to 0.65 mGal between the airborne gravity estimates and a high-resolution global gravity model. Moreover, a remarkable improvement in the internal precision is achieved when the gravity reductions are introduced into the SAG solution. Comparisons at the crossover points demonstrate that the application of gravity reductions yields considerably lower crossover residuals than the standard solution without reductions. The non-adjusted crossover differences of the long- and short-wavelength removed and restored SAG solution result in an RMSE value of 0.79 mGal, that is, 40% better precision than the standard solution.
机译:衣钩空气传播重量(SAG)是大量效果和地球物理学中使用的最有效的技术之一,以便以更快且经济高效的方式获取相对较大的地区的重力数据或填充在它既不实用的地方的重力数据差距可以进行陆地测量。最近的研究表明,对于重量速度(例如,温度稳定),可以使用拟置惯性系统(例如,温度稳定)的拟置惯性系统来实现1mgAL和亚MGAL水平精度的精度。除了仪器中的进步,数据处理和集成算法还在不断发展。本研究调查了在间接凹陷处理中的移除恢复过程之后的长 - 波长重力减少的贡献,其中飞行高度的重力扰动随着卡尔曼滤波器的额外系统状态而被组织成型。该方法实施了2018年在火鸡中部收集的空气传播数据,其中导航级类型的热稳定的拟稳定惯性测量单位。包括在下垂处理中的长波长重力降低限制了Z-加速度计的运行偏置变化,并显着改变了三阶高斯 - 马尔可夫重力状态模型的参数。通过在空中重力估计和高分辨率全球重力模型之间减少约2.60至0.65mgal的平均偏差和高分辨率全球重力模型,在溶液中使用减小的重力扰动在溶液中提供更好的长波长稳定性。此外,当引入凹凸溶液时,达到内部精度的显着改善。交叉点的比较表明,重力减少的应用比标准溶液相当低的交叉残留而不减少。未调整的长波长和短波长度的交叉差异和恢复的SAG解决方案导致RMSE值为0.79 mgal,即比标准解决方案更好的精度40%。

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