白龙江流域隐伏活断层的电性特征研究及分类
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中国地质调查局地质调查项目(DD20189630);中国地质调查局地质调查项目(DD20190646)


Classification of Electrical Characteristics of Buried Active Faults in Bailongjiang River Basin
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    摘要:

    白龙江流域构造位置特殊,新构造活动极为强烈,而针对本区隐伏活断层勘查的研究较少。高密度电法灵活高效、便于实施,非常适合地形复杂的白龙江流域,但在复杂地质环境下存在着严重的多解性问题。基于大量地球物理数据对该流域隐伏活断层的电性异常特征进行研究,并按照电性异常发生位置及特点将隐伏活断层的电性特征分为五类,可作为断层识别依据的有四类,主要表现为“高(低)阻背景、低(高)阻条带”的电性特征;电性异常难以识别的原因主要由“野外布设”与“地质背景”两类情况造成,每类中又包含多种影响因素。文章的研究成果显示,白龙江流域隐伏活断层的电性异常响应有迹可循,部分可以作为定性或定量描述隐伏活断层的依据,从而为高密度电法在本区隐伏活断层的勘查中提供重要的参考价值。

    Abstract:

    Due to the special tectonic location and strong Neotectonic activities in the Bailongjiang River Basin, there are rare researches on the exploration of buried active faults in the area. The high-density electrical method, which is flexible, efficient, and easy to implement, is very suitable for the Bailongjiang River Basin with complicated terrain, whereas, there exists a serious problem of multiplicity of solutions under the complex geological environment. Based on huge amounts of geophysical data, this paper studied the electrical anomaly characteristics of hidden active faults in the basin, and divided the electrical characteristics into five categories. Among them, four categories can be used as the basis for fault identification, which mainly showed the electrical characteristics of "high (low) resistance background, low (high) resistance band". There were two reasons why electrical anomalies are difficult to be identified, namely "field layout" and "geological background". The study results showed that the electrical abnormal response of hidden active faults in Bailongjiang River Basin can be followed, and some of them can be used as the basis for qualitative or quantitative description of hidden active faults. The results can provide important reference value for the exploration of hidden active faults in the study area with high-density electrical method.

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谢兴隆,马雪梅,陈军,高幼龙,王高峰,程正璞.白龙江流域隐伏活断层的电性特征研究及分类[J].地震工程学报,2021,43(3):615-622. XIE Xinglong, MA Xuemei, CHEN Jun, GAO Youlong, WANG Gaofeng, CHENG Zhengpu. Classification of Electrical Characteristics of Buried Active Faults in Bailongjiang River Basin[J]. China Earthquake Engineering Journal,2021,43(3):615-622.

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  • 收稿日期:2020-03-11
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  • 在线发布日期: 2021-06-05