大比例尺重力精细化改正方法

    Fine-scale correction methods for large-scale gravity survey data

    • 摘要: 对实测重力值相对于某一基准面进行各项改正是获取其布格重力异常值的必经步骤。当前工作中,大比例尺重力各项改正多沿用区域重力调查的相关要求及方法,所获得的布格重力异常中包含虚假异常,难以准确解释目标体的相关属性及细节。目前,鲜有针对大比例尺重力进行变密度地形改正等方法的系统研究,以及缺少公开使用的变密度改正计算软件。为此,本文提出了建立一套大比例尺重力数据精细化的改正方法。该方法对各项改正的传统基准面予以抬升;在密度物性资料评级基础上,采用“变密度广义地形改正”的方法,一体计算传统的地形改正和中间层改正;选用Li-Gotze96公式一体计算传统的纬度改正和高度改正、计算基于自定义基准面的高度改正值;推导了布格重力异常计算的新公式;配套编制了《普适型重力勘查各项改正计算软件》。模拟及实测数据验证表明,本方法能够明显削弱布格重力异常的虚假异常及其与地形的相关性,凸显目标体的异常特征,使异常的细节信息更加丰富。

       

      Abstract: Performing various corrections to the measured gravity values relative to a datum plane serves as a necessary step in obtaining the values of Bouguer gravity anomalies. Currently, the various corrections of large-scale gravity survey data primarily follow the requirements and methods of regional gravity surveys. The obtained Bouguer gravity anomalies often contain false anomalies, failing to accurately interpret the relevant properties and details of targets. Moreover, there exists neither systematic research on the variable-density terrain correction for large-scale gravity survey data nor publicly available variable-density correction calculation software. Therefore, this study proposed a set of fine-scale correction methods for large-scale gravity survey data. Specifically, the traditional datum plane for various corrections was elevated. Based on the rating of density property data, the variable-density generalized terrain correction method was employed to integrally calculate the values of traditional terrain and intermediate layer corrections. The Li-Gotze96 equation was applied to integrally calculate the values of traditional latitude and height corrections, as well as the height correction value based on the custom datum plane. A new equation for calculating the value of Bouguer gravity anomalies was derived. Moreover, the universal gravity survey correction calculation software was developed accordingly. The verification based on simulated and measured data shows that these methods can significantly reduce false anomalies within the Bouguer gravity anomalies and their association with terrains, thereby highlighting the anomaly characteristics of the targets and revealing richer anomaly details.

       

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