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首页|期刊导航|CT理论与应用研究|多种重力边缘识别方法在华北厚覆盖区断裂识别中的对比与应用效果分析

多种重力边缘识别方法在华北厚覆盖区断裂识别中的对比与应用效果分析

李新宇 石磊 李永华

CT理论与应用研究2026,Vol.35Issue(5):839-850,12.
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CT理论与应用研究2026,Vol.35Issue(5):839-850,12.DOI:10.15953/j.ctta.2025.329

多种重力边缘识别方法在华北厚覆盖区断裂识别中的对比与应用效果分析

Comparative Assessment and Application of Multiple Gravity Edge detection Methods in Thick-cover Regions of North China

李新宇 1石磊 2李永华2

作者信息

  • 1. 中国地震局地球物理研究所,北京 100081
  • 2. 地震动力学与强震预测全国重点实验室,中国地震局地球物理研究所,北京 100081
  • 折叠

摘要

Abstract

To effectively identify faults beneath thick cover in North China,this study systematically compared and evaluated the performance of six gravity edge detection techniques.The results indicate that the second vertical derivative is highly sensitive to shallow faults but is readily affected by noise,whereas the total horizontal derivative and analytic signal amplitude are more effective for detecting deeper faults,although their responses weaken in thick cover settings.The tilt angle and theta map can jointly extract information on shallow and deep structures but are prone to generating spurious boundaries.By contrast,the softsign function exhibited the best overall performance in our tests,effectively delineating major faults at different depths and within thick cover areas.Using a combined workflow incorporating these methods,we identified a possible concealed fault that is consistent with controlled source seismic and magnetotelluric profiles.We further inferred that the Jinhuo Fault may comprise two branches,one coinciding with the mapped trace and another trending N-E toward the Handan Fault,consistent with the spatial distribution of relocated earthquakes.In addition,an approximately E-W trending anomalous belt was detected west of the Jianchangying Fault,the origin of which may be related to a westward continuation of this fault.

关键词

华北厚覆盖区/边缘检测技术/重力异常/断裂结构

Key words

thick-cover regions of North China/edge detection/gravity anomaly/fault structure

分类

天文与地球科学

引用本文复制引用

李新宇,石磊,李永华..多种重力边缘识别方法在华北厚覆盖区断裂识别中的对比与应用效果分析[J].CT理论与应用研究,2026,35(5):839-850,12.

基金项目

国家重点研发计划(2024YFC3012903) (2024YFC3012903)

国家自然科学基金(42274118 ()

U1839210) ()

深地国家科技重大专项项目(2024ZD1001100). (2024ZD1001100)

CT理论与应用研究

1004-4140

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