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现场多相轻质非水相液体修复:通过顺序现场试点试验验证新的计算框架。

Field-scale multi-phase LNAPL remediation: Validating a new computational framework against sequential field pilot trials.

机构信息

CSIRO Land and Water, Private Bag No. 5, Wembley, WA 6913, Australia; Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), Australia; School of Engineering, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027,Australia.

CSIRO Land and Water, Private Bag No. 5, Wembley, WA 6913, Australia; Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), Australia.

出版信息

J Hazard Mater. 2018 Mar 5;345:87-96. doi: 10.1016/j.jhazmat.2017.11.006. Epub 2017 Nov 4.

DOI:10.1016/j.jhazmat.2017.11.006
PMID:29131986
Abstract

Remediation of subsurface systems, including groundwater, soil and soil gas, contaminated with light non-aqueous phase liquids (LNAPLs) is challenging. Field-scale pilot trials of multi-phase remediation were undertaken at a site to determine the effectiveness of recovery options. Sequential LNAPL skimming and vacuum-enhanced skimming, with and without water table drawdown were trialled over 78days; in total extracting over 5m of LNAPL. For the first time, a multi-component simulation framework (including the multi-phase multi-component code TMVOC-MP and processing codes) was developed and applied to simulate the broad range of multi-phase remediation and recovery methods used in the field trials. This framework was validated against the sequential pilot trials by comparing predicted and measured LNAPL mass removal rates and compositional changes. The framework was tested on both a Cray supercomputer and a cluster. Simulations mimicked trends in LNAPL recovery rates (from 0.14 to 3mL/s) across all remediation techniques each operating over periods of 4-14days over the 78day trial. The code also approximated order of magnitude compositional changes of hazardous chemical concentrations in extracted gas during vacuum-enhanced recovery. The verified framework enables longer term prediction of the effectiveness of remediation approaches allowing better determination of remediation endpoints and long-term risks.

摘要

受轻非水相液体(LNAPL)污染的地下系统(包括地下水、土壤和土壤气体)的修复极具挑战性。在一个场地进行了多相修复的现场中试试验,以确定回收方案的有效性。在 78 天内,进行了顺序 LNAPL 撇油器和真空增强撇油器的试验,有和没有地下水位下降;总共提取了超过 5 米的 LNAPL。这是第一次,开发并应用了一个多组分模拟框架(包括多相多组分代码 TMVOC-MP 和处理代码)来模拟现场试验中使用的广泛的多相修复和回收方法。该框架通过比较预测和测量的 LNAPL 去除速率和组成变化来验证与顺序中试试验的一致性。该框架在 Cray 超级计算机和集群上进行了测试。模拟在 78 天的试验中,模拟了所有修复技术的 LNAPL 回收率趋势(从 0.14 到 3mL/s),每种技术的运行时间为 4-14 天。该代码还近似了真空增强回收过程中提取气体中危险化学浓度的数量级组成变化。经过验证的框架能够预测修复方法的有效性,从而更好地确定修复终点和长期风险。

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