摘要
在西秦岭凤-太矿集区西段地区,利用剩余异常分量因子得分方法采用趋势面分析对工作区化探数据进行处理,提取其中反映局部异常变化的剩余异常分量,再对剩余异常分量进行R型因子分析,得到与矿化关系密切的3个因子。用因子得分图描述研究区与矿化密切的地球化学异常分布情况,并为靶区的优选提供较好的依据。
The residual anomaly component factor score method which uses the means of trend surface to process geochemical data was adopted in the working area to extract the residual anomaly components that indicate local anomaly changes.R-factor analysis was carried out for residual anomaly components and,as a result,3 factors closely associated with the mineralization were obtained.Score diagrams were drawn to reflect the distribution of geochemical anomalies in the study area and provide the basis for the optimization of prospecting targets.
出处
《物探与化探》
CAS
CSCD
北大核心
2010年第3期340-343,共4页
Geophysical and Geochemical Exploration
基金
"十一五"国家科技支撑计划课题(2006BAB01A11)资助
关键词
剩余异常分量因子得分方法
地球化学异常
靶区优选
residual anomaly component factor score method
geochemical anomaly
optimization of target areas
