应用S-T模型对沉积物中PAHs的生态风险分级评价

本文构建S-T模型，运用集对分析理论（set pair analysis）构建基本模型，采用层次分析法并参考毒性当量因子确定各指标权重，应用三角模糊数（triangular fuzzy number）对差异度系数进行改进，基于加拿大沉积物环境质量标准，对沉积物中多环芳烃进行生态风险分级评价.结果表明，该模型考虑到化合物之间的相互作用因素并做模糊处理，对差异度系数进行改进体现沉积物中多环芳烃生态风险等级标准的模糊性，为持久性有机污染物生态风险分级评价提供了一种简便客观有效的方法.

Comprehensive ecological risk classification of polycyclic aromatic hydrocarbons in sediments by S-T model

In this study, the S-T model was built by using set pair analysis theory, and the analytic hierarchy process was used to determine the weight of each index by referring to the toxicity equivalency factor. In addition, the triangular fuzzy number was applied to improve the diversity factor. After that, the comprehensive ecological risk classification of aromatic hydrocarbons was assessed by using this proposed S-T model based on Canadian sediment quality standards. The results show that the fuzzy nature of the PAHs ecological risk grade standard in sediments was represented by improving the degree of difference coefficient. This is because the interaction factors between compounds are processed in fuzzy theory in this new method. Moreover, this study could provide a simple, objective, and effective method for the ecological risk classification of persistent organic pollutants.