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机构地区:[1]吉林大学地球探测科学与技术学院,长春130026 [2]浙江省地球物理地球化学勘查院,杭州310005
出 处:《世界地质》2007年第1期40-43,共4页World Geology
摘 要:因子分析结果受样品数量的影响,同一件样品的因子计量也随之发生变化,使传统因子计量方法在地球化学数据处理中的应用受到一定的限制。因子计量模型法综合了因子计量的优点和利用模型找矿的思路,通过选定的某一典型地质单元计算因子计量系数矩阵,建立因子计量模型,用模型类比未知区。该方法使因子计量图的地球化学意义更加明确,并且可节省重新处理数据的工作量。因子计量模型方法和传统因子计量方法应用于某地区1∶20万水系沉积物地球化学数据处理,因子计量模型法得出的地球化学异常规律性更为明显,更好地反映了区域地质构造与异常的关联性,有利于异常的解释和评价。The analysis op factor score of samples is influenced by the number of the samples, even changeable in the one sample, which usually limited the application of the traditional Factor Score Method (FSM) is limited in geochemical exploration data processing. The Factor Score Model Method (FSMM) combines the ad- vantage of factor score with prospective models. Through selecting a typical geological unit, the authors calculated the matrix of factor score coefficient, and established the FSMM, which can be used in analogizing unknown area. The method made the factor score map with more specific geochemical meaning and workload on recalculating data can be economized. Compared with the traditional FSMM in the application of 1 : 200 000 scale geochemical exploration data processing on stream sediment in some area, the regularity of geochemical anomaly derived from FSMM is more obvious, which reflects the relativity between areal structure and anomaly. It is also beneficial to the interpretation and evaluation of geochemical anomaly.
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