在土壤中识别药品消散途径 - - 一种建模方法
Matthias Boeckmann1, Jan Siemens2, Benjamin Justus Heyde3
1Eberhard Karls University of Tübingen, Department of Geosciences, Schnarrenbergstraße 94-96, 72076 Tübingen, Germany. matthias.boeckmann@uni-tuebingen.de.
一个新的数学模型显示,粒子内部扩散对土壤中的污染物消散有很大贡献. 这一发现有助于区分污染物的转化与减少的可提取性,这对于了解环境命运至关重要.
科学领域:
- 环境化学环境化学
- 土壤科学 土壤科学
- 数学建模的数学建模
背景情况:
- 土壤中的污染物度随着时间的推移而下降,但机制 (转化与提取能力的变化) 往往不清楚.
- 了解污染物消散对于评估环境风险和土壤修复策略至关重要.
研究的目的:
- 开发一个数学模型,区分土壤中的污染物消散途径.
- 为量化水性土壤提取物和土壤溶液之间的度差异.
- 研究转化,矿化和非可提取残留物形成的作用.
主要方法:
- 开发了一种包含动态吸附 (Freundlich) 的模型,用于转化/矿化和粒子内部扩散的第一阶动力学.
- 模型假设均的球形土壤颗粒.
- 将模型应用于19个已发表的数据集,涉及8种药物和3种土壤.
主要成果:
- 粒子内部扩散约占模拟质量流量的三分之二.
- 非可提取残留物的可逆形成似乎是主要的消散因素.
- 不能排除不可逆转的转化和矿化.
- 提取物和土壤溶液度之间的差异通常很小,除了带正电荷的污染物.
结论:
- 该模型有效地解开了土壤中的各种污染物消散途径.
- 粒子内部扩散和可逆的非可提取残留物形成是显著的消散机制.
- 该模型有助于设计实验,以确定土壤污染物的长期命运.
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