基于最小数据集权重(MDS)的稀土土壤质量评价研究

Evaluation of rare earth soil quality based on Minimum Data Set Weights (MDS)

为研究稀土矿区周边土壤质量状况以及稀土元素的迁移效果,以赣州市定南某稀土矿区周边土壤和植物为研究对象,分别研究了稀土元素在当地土壤稀土背景浓度下的迁移能力以及在稀土地球化学背景值下的综合迁移能力。结果表明:镝的迁移效果最好;单位质量植物的迁移效果研究中,稀土元素向栀子花的迁移效果最好。同时,利用主成分分析对测定的土壤指标进行筛选,构建最小数据集,从而计算得到全数据集土壤质量指数(SQI-T)、重要数据集土壤质量指数(SQI-I)和最小数据集土壤质量指数(SQI-M)。根据得到的SQI-T与SQI-M相关性分析,检验最小数据集权重(MDS)的合理性,最终结果显示MDS在土壤评价上有较良好的应用潜力。

In order to study the quality of the soil around the rare earth mining area and the migration effect of different rare earth elements, this paper takes the soil and plants around a rare earth mining area in Dingnan, Ganzhou City as the research object, and studies the migration ability of different rare earth elements under the local soil rare earth background concentration and the comprehensive migration ability under the rare earth geochemical background value.The results show that the migration effect of dysprosium is the best;In the study on the migration effect of plant per unit mass, the migration effect of rare earth elements to gardenia is the best.At the same time, principal component analysis was used to screen the measured soil indicators, and the minimum data set was constructed, so as to calculate the soil quality index(SQI-T) of the full data set, the soil quality index(SQI-I) of the important data set, and the soil quality index(SQI-M) of the minimum data set.According to the correlation analysis of SQI-T and SQI-M obtained, the rationality of the minimum data set weight(MDS) is tested.The final results show that MDS has a good application potential in soil evaluation.