低温氧化性指标是硫化矿石自燃倾向性鉴定中的主要评价指标。针对多因素综合分析法在评价硫化矿石低温氧化性时测试指标数目过于繁多的问题,以冬瓜山铜矿7个矿样的评价指标为例,运用SPSS软件的相关性分析功能对指标间的相关性进行研究,并通过理论分析解释了相关关系的原因,以此达到对指标的简化目的。针对硫化矿石自燃倾向性鉴定指标的优化具有一定的指导意义。

Indexes of sulfide ores in oxidation process at ambient temperature are the main indicators in the identification of the spontaneous combustion tendency. The method of comprehensive analysis of multiple factors is widely used in evaluating the oxidizing strength of sulfide ores. However, this method needs lots of evalution indexes and the process of determination is complicated and difficult.The multiple indexes need to be simplified. Correlation analysis is a way to solve this problem. In this paper, taking the sulfide ores of Dongguashan Copper as an example, the software SPSS is used to analyze the correlation of different indexes, including those of the weight gain, the rate of oxygen, the contents of SO₄^2-, the contents of Fe²⁺+Fe³⁺ and the pH value, with theoretical interpretations. Based on this study, the main and important indexes can be chosen, to simplify indexes and to optimize the indexes in the identification of the spontaneous combustion tendency.