南京大学学报(自然科学版) ›› 2024, Vol. 60 ›› Issue (1): 130140.doi: 10.13232/j.cnki.jnju.2024.01.013
• • 上一篇
刘昆1,2, 南晨曦1, 孔令冉1, 刘慧婷3, 付翯云1, 瞿晓磊1()
Kun Liu1,2, Chenxi Nan1, Lingran Kong1, Huiting Liu3, Heyun Fu1, Xiaolei Qu1()
摘要:
准确评估污染物在污染场地土壤中的吸附分配过程是污染场地安全管理和再利用开发的重要环节.以我国典型电子垃圾拆解场地为研究对象,解析了场地土壤中有机质的吸附特征,建立了适用于场地有机污染物分配评估的有机碳标化分配系数(KOC)预测模型,揭示了有机污染物在场地土壤中有机质上的吸附机制.该场地土壤有机质对有机污染物具有较强的吸附能力.构建了预测场地土壤中有机质吸附有机污染物的KOC的多参数线性自由能模型(pp?LFER).pp?LFER模型相较于常用的单参数线性自由能模型(sp?LFER)展现出更好的场地吸附数据的预测能力(R2=0.919).同时,采用其他文献报道的pp?LFER模型对该场地污染物KOC进行预测,发现预测偏差较高(RMSE>1.12),这表明pp?LFER模型的预测效果受场地土壤中有机质的性质影响较大,其跨区域应用性仍待提升.进一步结合pp?LFER模型中的分子结构描述符和各项系数解析了土壤中有机质的吸附机制,发现疏水作用和极化作用是吸附过程的重要作用力,氢键作用显著影响极性化合物的吸附过程.本研究基于实际污染场地土壤构建了高精度吸附预测模型,为场地污染风险评估和修复利用提供了更准确的技术手段.
中图分类号:
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