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山区地形改正密度逐次回归选取方法

高维强, 史朝洋, 张利明, 冯旭亮. 2021. 山区地形改正密度逐次回归选取方法. 物探与化探, 45(6): 1530-1538. doi: 10.11720/wtyht.2021.0294
引用本文: 高维强, 史朝洋, 张利明, 冯旭亮. 2021. 山区地形改正密度逐次回归选取方法. 物探与化探, 45(6): 1530-1538. doi: 10.11720/wtyht.2021.0294
GAO Wei-Qiang, SHI Zhao-Yang, ZHANG Li-Ming, FENG Xu-Liang. 2021. Successive regression for determining the optimum terrain correction density in mountainous areas. Geophysical and Geochemical Exploration, 45(6): 1530-1538. doi: 10.11720/wtyht.2021.0294
Citation: GAO Wei-Qiang, SHI Zhao-Yang, ZHANG Li-Ming, FENG Xu-Liang. 2021. Successive regression for determining the optimum terrain correction density in mountainous areas. Geophysical and Geochemical Exploration, 45(6): 1530-1538. doi: 10.11720/wtyht.2021.0294

山区地形改正密度逐次回归选取方法

  • 基金项目:

    陕西省公益性地质调查项目

    唐昭陵地下遗址精细探测与虚拟景观再现示范工程(201920)

    国家自然科学基金项目

    基于不同范数的密度界面三维重力反演研究(41904115)

详细信息
    作者简介: 高维强(1988-),男,硕士,毕业于中国地质大学(武汉),主要从事电磁法和重力工作。Email:totti_gao@163.com
  • 中图分类号: P631

Successive regression for determining the optimum terrain correction density in mountainous areas

  • 在山区进行重力测量时,布格重力异常往往与地形呈现相关关系,不利于重力资料的地质解释,这一现象主要是由地形改正密度选择不准确引起的。本文利用回归分析方法来选取山区地形改正密度,其利用自由空间重力异常与测点高程的相关关系获取地形改正密度,并利用每一次计算得到的布格重力异常与测点高程的相关关系得到地形改正密度的调整值。逐次调整地形改正密度,直至获得最佳的地形改正密度和与地形无关的布格重力异常。将该方法用于九嵕山地区实测重力数据校正,经过5次迭代获得了最佳地形改正密度,并由此计算得到了布格重力异常。布格重力异常与地形的相关分析结果证明了该方法的正确性。
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出版历程
收稿日期:  2021-05-24
修回日期:  2021-12-20
刊出日期:  2021-12-21

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