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基于重磁异常相关分析的场源位置及属性识别方法 被引量:8

A new recognition method for source locations and attributes based on correlation analysis of gravity and magnetic anomalies
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摘要 针对传统的重磁对应分析在场源区域外趋于高相关度的缺点,本文提出了一种基于相关系数和垂向导数的重磁场源位置及属性识别方法,给出了一个新的重磁场源平面位置及属性判别参数(GMCP),该参数能够有效地缩小重磁场源的识别范围.判别参数GMCP值非零分布范围反映了场源的规模.GMCP值的正负反映了场源属性,当GMCP大于零时为正相关,代表了该区域存在高磁高密度或低磁低密度的重磁同源地质体;当GMCP小于零时为负相关,代表了该区域存在高磁低密度或低磁高密度的重磁同源地质体;GMCP趋于零,则表示无重磁同源地质体.两组不同干扰水平的同源复杂组合模型实验、两组不同源组合模型试验以及南海中央海盆实际重磁数据处理结果均验证了该重磁场源位置及属性识别方法的正确性和有效性. The traditional gravity and magnetic correspondence analysis tends to be highly correlated outside the field source area.In order to overcome this weakness,we propose a new identification method for source positions and attributes based on similarity and vertical derivative of the potential field and put forward a new gravity and magnetic correlation parameter(GMCP),which can effectively reduce the range of the potential field source to be identified and indicate the field intensity information.The distribution of the non-zero areas of GMCP reflects the size of the source.GMCP discriminant parameter values of positive and negative reflect the source attributes.When GMCP is greater than zero,it is a positive correlation indicating that there are high-density and high-magnetization or low-density and low-magnetization homologous bodies in this region.When GMCP is less than zero,it is negative correlation indicating that there are high-density and low-magnetic or low-density and high-magnetic density homologous bodies in this region.WhenGMCP tends to zero,it means no gravity-magnetic homologous geological body.Tests on complex models with different noise levels and actual data processing of South China Sea Basin prove the correctness and validity of the identification method proposed in this paper.
作者 鲁宝亮 马涛 熊盛青 王万银 LU BaoLiang;MA Tao;XIONG ShengQing;WANG WanYin(Institute of Gravity and Magnetic Technology,School of Geological Engineering and Geomatics,Key Laboratory of Western China′s Mineral Resources and Geological Engineering,Ministry of Education,Chang′an University,Xi′an 710054,China;China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing 100083,China)
出处 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2020年第4期1663-1674,共12页 Chinese Journal of Geophysics
基金 国家重点研发计划项目“典型覆盖区航空地球物理技术示范与处理解释软件平台开发”(2017YFC0602200)之课题“航空地球物理数据综合处理解释方法研究及软件开发”(2017YFC0602202) 国家自然科学基金(41904106)联合资助.
关键词 重磁异常 场源识别 属性判别参数 南海海盆 Gravity and magnetic anomalies Source identification GMCP South China Sea Basin
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