扩散边界层和初始污染在来自异质低透性沉积物的反扩散中的作用:源史逆转独立模型和现场应用
Xiang-Hong Ding1, Shi-Jin Feng2, Sheng Zhang1
1School of Civil Engineering, Central South University, Changsha 410075, China.
Journal of hazardous materials
|October 18, 2025
概括
一个新的模型预测了地下水污染的低透性沉积物,考虑到扩散边界层和初始条件而不需要源历史. 这样可以更好地评估持续出现的风险.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 污染物运输建模 污染物运输建模
背景情况:
- 由于在低透性沉积物 (水域) 中反向扩散而造成的持续的地下水污染,挑战了整治.
- 现有的模型往往过于简化了扩散边界层 (DBL),初始污染,并依赖于不确定的源耗尽历史.
研究的目的:
- 引入一个新的分析框架,以预测独立于源历史的反向扩散动态.
- 将DBL效应,沉积物异质性和空间可变的初始污染物分布明确纳入反向扩散模型.
- 评估这些因素对羽毛持续性和补救策略的影响.
主要方法:
- 开发了一个源-历史-反转-独立的分析模型,用于反向扩散.
- 嵌入的扩散边界层 (DBL) 效应,沉积物异质性和可变的初始污染物分布.
- 通过控制流室实验,数值模拟和来自四乙烯 (PCE) 污染现场的现场数据验证了模型.
主要成果:
- 该模型准确地预测了前后扩散行为,证明了羽毛持续性风险.
- 忽视DBL可以低估尾时间长达40年.
- 水的异质性和DBL特征 (例如,低质量转移系数kDBL) 显著影响羽毛的持久性和尾巴时间.
结论:
- 开发的模型增强了预测准确性和管理长期含水层污染的效率.
- 抑制DBL的质量转移是一种可行的策略,以减轻反向扩散风险.
- 准确的建模需要明确考虑DBL,初始度分布和水族群异质性.
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