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OA
Comparative Assessment and Application of Multiple Gravity Edge detection Methods in Thick-cover Regions of North China
为有效识别华北厚覆盖区断裂构造,本文系统对比与评估6种重力边缘检测技术的应用效能.研究表明,不同方法各具特点:垂向二阶导数法对浅部断裂反应灵敏但易受噪声干扰;总水平导数与解析信号振幅法对深部断裂识别有效,但在厚覆盖区响应减弱;倾斜角法与θ图法可综合提取深浅部构造信息,但易产生虚假边界.相比之下,符号函数导数法表现最优,能有效刻画不同深度和厚覆盖区的主要断裂.基于上述方法组合,识别出一条可能的隐伏断裂,与人工地震和大地电磁测深剖面认识较为一致;推测晋获断裂可能存在双分支构造,其中一支与已知活动断层吻合,另一支呈北东向延伸至邯郸断裂附近,与地震重定位结果分布吻合;建昌营断裂西侧发现近东西向异常条带,可能为该断裂深部西延.
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.
李新宇;石磊;李永华
中国地震局地球物理研究所,北京 100081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
天文与地球科学
华北厚覆盖区边缘检测技术重力异常断裂结构
thick-cover regions of North Chinaedge detectiongravity anomalyfault structure
《CT理论与应用研究》 2026 (5)
839-850,12
国家重点研发计划(2024YFC3012903)国家自然科学基金(42274118U1839210)深地国家科技重大专项项目(2024ZD1001100).
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