重金属污染土壤属性区间识别模型的赋权分析

土壤重金属污染评价为土壤重金属污染的及时防范和综合治理提供重要的理论依据。文章在属性区间识别理论的基础上，构建土壤重金属污染评价的属性区间识别模型：选取土壤重金属污染中普遍存在的Hg、Cd、As、Pb、Cu、Zn作为评价指标，采用均化系数将各评价指标的属性测度区间转化为综合属性测度；为避免主观因素，利用主成分分析法、熵权法、CRITIC法对各评价指标进行3次客观赋权；最后根据置信度准则和分级标准进行土壤重金属污染的综合评价。对3种赋权法得到的权重和评价结果进行比较，表明：属性识别模型在土壤重金属污染评价中适用且有利于评价结果准确性的提高；3种客观赋权法算得的权重合理，且其优异程度为主成分分析法〈熵权法〈CRITIC法。

The weight analysis of attribute interval recognition model of soil heavy metal pollution

The assessment of heavy metal contaminated soil provides important theoretical basis for timely potential contamination prevention and integrated treatment. Attribute Interval Recognition （AIR） model for the assessment of heavy metal contaminated soil was built according to pertinent theories. The model has several evaluation indexes, including Hg, Cd, As, Pb, Cu, and Zn, which are extensively exist in heavy metal contaminated soil. The homogenization coefficient is used to transform the attribute measure interval into comprehensive attribute measure. In order to avoid subjective judgment, 3 kinds of objective weighting methods, including principal component analysis, entropy and criteria importance through inter-criteria correlation were adopted. Finally, comprehensive assessment of heavy metal pollution soil was undertaken according to confidence criteria and grading standards. The assessment results of aforementioned 3 kinds of weighting methods were compared, the results show that, the AIR model is applicable in assessment of heavy metal contaminated soil, and could improve the accuracy of results. The weights which are calculated from the 3 objective weighting methods are consistent with the actual soil contamination; the criteria importance through inter-criteria correlation method among the best of the 3 methods, and entropy method was greater than principal component analysis method.