兰坪盆地成矿预测中的多源信息定量分析

在提倡地球数字化的今天，为了满足地质找矿勘探的需求，成矿预测的技术和方法将面临着更新的挑战，以往那种定性分析的方法将很难满足成矿预测的精度，因此，对原有资料的数字化是很有必要的。矿产信息具有多源性，而任何一种技术和手段都不可能准确无误地预测矿床的存在、规模、形态等，鉴于此，文章把各种有利于矿床形成的变量遥感地质构造，地质异常、物化探及已查明的矿床（点）等]进行成矿有利度得分和多源信息综合定量分析，在此基础上进行1：20万小比例尺综合成矿预测，并圈定出了金顶等6个找矿远景区。这些研究成果为进一步认识本区成矿地质环境，指导找矿提供了有利的证据，将大大提高成矿预测的精度，具有广泛推广的实际价值。

A Comprehensive Quantitative Analysis of Multi-source Informationin Ore Prognosis of the Lanping Basin

In order to meet the sustainable development of geological prospecting in the 21st century, the ore_prognosis is facing the reformation of prospecting techniques and the innovation of prospecting methods. However, it is difficult to solve this problem merely by a qualitative analysis of different sorts of data. With the coming of the digital earth epoch, the digitization of various source materials is necessary for surveying geological resources more accurately. Besides, the formation of a mineral deposit, which is synthetically embodied by all sorts of ore_forming information, includes not only correlative geological information but also geochemical and geophysical information as well as various sorts of geomorphic information and image features with regard to ore_forming process. It can thus be seen that mineral information is characterized by multiple sources. Therefore, no single technique or method can accurately forecast the mode of occurrence, extension and configuration of a mineral deposit. The author has employed varieties of favorable ore_forming factors, which include linear structure and circular structure on RS (remote sensing), geological anomaly, geophysical exploration, geochemical exploration and explored mineral deposits (points), as statistic variables for comprehensive quantitative analysis of multi_source information serving ore prognosis in the Lanping basin. Combined with available research achievements and completely exerting the quantitative advantage of RS, geo_anomaly, geophysics and geochemistry, this paper has detailedly analyzed their ore_forming favorability, calculated their scores contributed to ore formation, and completed comprehensive and quantitative analysis of multi_source information. At the same time, the author has accomplished 1:200000 small_scale synthetic ore prediction, and delineated six favorable ore_prospecting areas, such as Jinding. These research achievements provide the convincing evidence for understanding the ore_forming environments and guiding the ore_prospecting work, thus greatly improving the ore_prospecting precision. The popularization of this technique is undoubtedly of great significance.