基于因子分析法和最小数据集的五大连池火山矿泥质量评价

火山矿泥是一种于严苛条件下历经数百年形成的珍稀矿产资源，目前尚无判定及评价其质量的方法.本研究采用因子分析法及最小数据集理论构建火山矿泥质量评价方法，并对五大连池风景区内火山矿泥质量进行综合评价.研究结果表明：火山矿泥质量评价最小数据集包括V、Al、含水量、黏粒，将五大连池火山矿泥分为4个质量等级，其中I级火山矿泥的储量最大，约占总储量的一半.新期火山周边火山矿泥质量最好，西部火山周边的火山矿泥质量整体优于东部.

QUALITY EVALUATION OF WUDALIANCHI VOLCANO MUD BASED ON FACTOR ANALYSIS AND MINIMUM DATA SET

Volcano mud is a rare kind of mineral resources formed in harsh conditions over hundreds of years, yet there is no method to judge and evaluate its quality currently. The factor analysis method and minimum data set theory are used to construct the quality evaluation method of volcanic mud, and to comprehensively evaluate the quality of volcanic mud in Wudalianchi Scenic Spot. The results show that the minimum data set for volcanic mud quality evaluation includes V, Al, water content and clay particle, and the Wudalianchi volcano mud can be divided into four quality grades, among which grade I has the largest reserves, accounting for half of the total reserves approximately. The quality of volcano mud around the modern volcano is the best, and the quality around the western volcanoes is better than that around the eastern.