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PCDD/F的气体/颗粒分离:可用模型的分布和影响
Berke Gülegen1, Abdul Alim Noori1, Yücel Tasdemir1
1Department of Environmental Engineering, Faculty of Engineering, Bursa Uludag University 16059 Nilüfer/Bursa -, Türkiye.
The Science of the total environment
|August 3, 2024
概括
在城市空气中的多二二二氧化/ (PCDD/Fs) 分区使用九种模型进行了研究. 李马模型最好地预测了粒子分数,表明沉积对于PCDD/F命运至关重要.
科学领域:
- 环境化学环境化学
- 大气科学 大气科学
- 毒理学 毒理学 毒理学
背景情况:
- 多二二二氧化/ (PCDD/F) 是持久性有机污染物,具有重大环境和健康风险.
- 在大气中,PCDD/F存在于气体和颗粒阶段,影响它们的环境命运和运输.
- 了解气体/颗粒 (G/P) 分区对于评估PCDD/F行为和暴露至关重要.
研究的目的:
- 评估九种不同模型在预测城市大气中的PCDD/F气体/粒子分离方面的性能.
- 调查对平衡 (EQ),非平衡 (NE) 和最大分区 (MP) 领域的模型对PCDD/Fs.s.的有效性.
- 确定PCDD/F G/P分区的最准确模型,并了解底层机制.
主要方法:
- 在2022年6月至2023年4月的城市地区测量PCDD/F度.
- 应用了九个G/P分区模型:Junge-Pankow,Harner-Bidleman,Dachs-Eisenreich,Li-Ma-Yang,pp-LFER,mp-pp-LFER,QSPR,logKp-logPL0和logKp-logKOA. 在这些模型中,G/P分区模型的分区方法包括:
- 通过将预测的粒子分数与测量值进行比较,并通过调查EQ,NE和MP领域的行为来评估模型性能.
主要成果:
- 基于吸收 (EQ),吸附 (NE) 和两种 (MP) 的模型在解释G/P过渡方面表现出有效性,但没有观察到平衡.
- 李马模型提供了与测量粒子分数最接近的预测,强调了沉积的重要性.
- 在高的logKOA值下pp-LFER模型表现良好,而mp-pp-LFER高估了吸附的贡献.
结论:
- 在城市环境中,PCDD/F的气体/颗粒分离是一个不平衡的过程.
- 李马模型是预测PCDD/F粒子分数的可靠工具,强调沉积机制.
- 像pp-LFER这样的新型号显示出希望,特别是在具有高八醇-空气分离系数的化合物中.
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