从无氧含水层的遗留来源大规模调动:多种方法和多个十年的前景
Feifei Cao1, Dan B Kleja2, Charlotta Tiberg3
1Department of Physical Geography, Bolin Center for Climate Research, Stockholm University, SE-106 91 Stockholm, Sweden.
The Science of the total environment
|June 3, 2023
概括
人为的 (As) 在含水层中的运输由于地下异质性,人们对其了解甚少. 当地分区系数 (Kd) 的几何平均值准确地估计了现场规模作为运输,改善了风险评估.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 地质化学 地质化学
背景情况:
- 地质性污染得到了充分研究,但人为来源及其在含水层中的运输却不太了解.
- 现有的风险评估模型往往表现不佳,可能是由于忽视了地下异质性和缩放效应.
- 化铜酸盐 (CCA) 是工业场所人为污染的重要来源.
研究的目的:
- 研究来自人为来源的在CCA污染的含水层中的动员和运输.
- 评估地下异质性 (液压导电性和分区系数) 对运输的影响.
- 在风险评估中评估实验室到现场缩放效应的有效性.
主要方法:
- 多方法调查,包括反向运输建模和度现场测量.
- 对土壤和地下水进行配对采样,以确定局部分割系数 (Kd).
- 批量平衡实验和地化学建模,以了解的保留过程.
主要成果:
- 观察到局部Kd值 (1至107L/kg-1) 的高变化,突出显示了单点测量的局限性.
- 当地Kd值 (14.4 L kg-1) 的几何平均值与反向建模 (13.6 L kg-1) 的现场规模有效Kd非常相匹配.
- 柱正在以每年约0.7米的速度膨胀,延伸到工业来源地区之外.
结论:
- 几何平均是估计异质含水层中大规模有效Kd值的相关方法.
- 了解地下的特性和地化学过程对于准确的运输建模和风险评估至关重要.
- 人为污染构成广泛的环境风险,需要改进评估策略.
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