利用滑动窗口的多项式拟合算法进行重力位场区域-剩余异常分离

Regional and Residual Anomaly Separation Based on Robust 2D Polynomial Fitting with Moving Window

  • 摘要: 地表观测的重力位场是地形质量、浅部地质结构产生的剩余重力异常和深部地质构造产生的区域重力异常的叠加效应。基于尺寸可变的滑动窗口的二维低阶多项式拟合算法和格网距离(到中心点)倒数的定权规则在空间域对地面观测的重力位场数据进行了不同深度层的区域-剩余异常分离。这克服了常规算法仅在水平方向上区分不同异常空间分布及垂直方向上定性分离的缺陷。并利用构建的模型重力数据和实测重力位场数据分别进行解算,数值结果验证了该方法的有效性。

     

    Abstract: Conventional gravity field measured on surface reflects the superposition of effects of topographic masses, local gravity anomalies owing shallow geological structures to a regional gravity field caused by deep tectonics. In this paper, we implement different depth layes' regional and residual anomaly separation based on robust 2D polynomial fitting with scalable moving window and weighting function determined by grid distances from surrounding points to central point. The algorithm overcomes the limitations of potential field separation merely in horizontal plane and vertical qualitative research by traditional algorithms. The validity of the algorithm proposed is verified by the data of synthetic models and field measured ground gravity data.

     

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