摘要
航空伽玛能谱测量所提供的钾、铀和钍含量等放射性参数之间通常存在着显著的相关性，从而掩盖了一些有用信息。应用主分量分析方法可以从相关性强的多个观测变量中提取出少数几个互不相关的新变量，因此能克服上述不足之处。在CDM盆地中部地区应用主分量分析方法对航空伽码能谱数据解释的结果表明，该方法可用来协助进行岩性和构造填图，识别有利于铀矿和钾盐沉积的环境，可以建立铀和钾盐矿床的成矿模式，进行铀和钾盐成矿远景的预测。可见，在航空伽玛能谱测量中它很可能成为一种新的有潜力的解释技术。
:
There usually exists significant correlation between such radioactive para-
meters as K, U and Th in airborne gamma-ray spectrometric data, which
covers up some useful information. Using principal component analysis, we can
extract a few new variables uncorrelated to each otber from a number of
highly correlated observed data, thus getting rid of this trouble.
The interpretation of airborne gamma-ray spectrometric data by using
principal component analysis in the middle of CDM basin shows that this
method can be used to help lithologic and structural mapping, recognize envi-
ronments favorable for uranium and sylvite deposition, establish minerogenic
models for these two types of deposit, and make minerogenic perspective pro-
gnosis for them. It is hence conceivable that principal component analysis is
likely to be a new potential technique in the interpretation of airborne gamma-
ray spectrometric data.
出处
《物探与化探》
CAS
CSCD
1991年第6期423-430,共8页
Geophysical and Geochemical Exploration
