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吊舱式直升机频率域电磁系统在广东龙门地区的勘查效果 被引量:4

THE EXPLORATION EFFICIENCY OF THE HELICOPTER ELECTROMAGNETIC SYSTEM IN LONGMEN,GUANGDONG PROVINCE
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摘要 以2005年广东龙门地区1∶5万比例尺的直升机航空电磁、磁综合测量资料为基础,并结合地质矿产资料,对广东龙门地区的航磁异常特征、航空电磁异常特征与矿产的关系进行了分析与研究。尤其是利用本次工作研究的电磁异常特征分类法对该区的航空电磁局部异常进行了分类,有效地识别了电磁干扰异常,优选了对找矿有意义的电磁异常。经过对优选的3处局部异常进行地面查证,空地异常对应良好,并指出了多处对找矿有意义的地下良导体。 Based on the data of 1: 50 000 helicopter electromagnetic and magnetic comprehensive survey in Longmen, Guangdong Province in 2005, in combination with the geological and mineral sources data, the authors analyzed and studied the relationship between the mineral resources and the aeromagnetic or aeroelectromagnetic anomaly characteristics in Longmen area. The local aeroelectromagnetic anomalies were classified by using the classification method for electromagnetic anomaly characteristics, and the anomalies resulting from electromagnetic interference were identified. Based on field inspection of three optimized local anomalies, the authors found that the air and ground anomalies are well consistent with each other. In addition, some significant good underground conductors were detected.
出处 《物探与化探》 CAS CSCD 2007年第6期546-550,共5页 Geophysical and Geochemical Exploration
基金 中国地质调查局国土资源大调查项目(G[2003]010-20)资助
关键词 吊舱式直升机电磁测量 勘查效果 电磁异常特征 广东龙门地区 towed bird helicopter electromagnetic system exploration efficiency characteristics of electromagnetic anomaly Longmen area in Guangdong Province
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  • 1范正国,赵玉刚,卢建忠.航空物探综合站测量在多宝山斑岩铜矿上的应用效果[J].地质与勘探,2004,40(4):60-63. 被引量:14
  • 2张学书,秦德先,念红.机载电磁测量系统及应用效果——以云南金平地区寻找铜镍矿为例[J].物探与化探,2004,28(6):485-488. 被引量:2
  • 3王德发,刘英才,熊盛青,薛典军,范子梁,刘振军,周坚鑫.西藏铬铁矿接替资源航磁勘查及找矿方向探讨[J].地质通报,2007,26(4):476-482. 被引量:9
  • 4于长春,范正国,王乃东,熊盛青,万建华,张洪瑞.高分辨率航磁方法及在大冶铁矿区的应用[J].地球物理学进展,2007,22(3):979-983. 被引量:58
  • 5米萨克N纳比吉安.赵经祥译.勘查地球物理电磁法[M].北京:地质出版社,1991.67-114.
  • 6Ranjbar H, Hassanzadeh H, Torabi M, et al. Integration and a- nalysis of airborne geophysical data of the Darrehzar area, Kerman Province, Iran, using principal component analysis [J]. Journal of Applied Geophysics, 2001,48:33-41.
  • 7Eberle D. Geologic mapping based upon multivariate statistical analysis of airborne geophysical data: International Institute for Aerospace[J]. Survey and Earth Sciences (ITC) Journal, 1993(2) :173-178.
  • 8Eberle D, Cole P, Nyabeze P. Acquiring high resolution air- borne geophysical data and recognition of new mineral explora- tion potential as part of a development program launched by the South African government[C] // 20 th International Geo physical Conference and Exhibition ASEG 09, Adelaide-SA, Conference Handbook, Preview, 2009 : 138, 71.
  • 9Paasche H, Ebrele D. Rapid integration of large airborne geo- physical data suite using a fuzzy partitioning cluster algorithm: a tool for geological mapping and mineral exploration targeting [J]. Exploration Geophysics, 2009,40 : 277- 287.
  • 10Paasche H,Eberle D. Automated integration of large geophysi cal datasets using three parting cluster algorithms: A compari son[C] //11 th SAGA Biennial Conference and Exhibition Royal Swazi Spa, Swaziland, Expanded Abstract, 2009: 6.

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