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High stress low-flow (HSLF) sampling: A newly proposed groundwater purge and sampling approach

机译:高应力低流量(HSLF)采样:一种新提出的地下水净化和采样方法

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Representative groundwater sampling is critical for establishing contaminant distributions, evaluating the effectiveness of remediation operations, monitoring the protection of human health and the environment, and sustainably managing groundwater resources. However, traditional low flow (low stress) or three-well-volume purge well sampling techniques can render high labor costs or high wastewater volumes. Newly developed passive samplers can only deal with limited analytical needs. A new High Stress Low Flow (HSLF) method is proposed involving dual pumping rates, which may significantly reduce purge time and wastewater production, while maintaining analytical needs, thus offering a new tool to promote green and sustainable remediation. A three-dimension numerical model was used to evaluate the potential benefits of the proposed HSLF approach. Compared to low flow sampling and three-well-volume purge methods, it was calculated that HSLF can reduce sampling time by up to 81.0% and 81.3%, respectively, and reduce wastewater production by up to 12.5% and 91.2%, respectively. The improvement achieved was affected by formation characteristics (e.g. hydraulic conductivity) and operation parameters (e.g. pumping rates and drawdown control). Further optimization and field testing is required to recognize the full potential of this newly proposed method. (C) 2019 Elsevier B.V. All rights reserved.
机译:代表性的地下水采样对于建立污染物分布,评估补救措施的有效性,监测对人类健康和环境的保护以及可持续管理地下水至关重要。但是,传统的低流量(低应力)或三孔容积的吹扫井采​​样技术会导致较高的人工成本或较高的废水量。新开发的无源采样器只能满足有限的分析需求。提出了一种新的涉及双抽速的高应力低流量(HSLF)方法,该方法可以显着减少吹扫时间和废水产生,同时保持分析需求,从而提供了一种促进绿色和可持续修复的新工具。使用三维数值模型来评估所提出的HSLF方法的潜在收益。与低流量采样和三孔体积吹扫方法相比,HSLF可以分别将采样时间减少多达81.0%和81.3%,并将废水产生减少多达12.5%和91.2%。所获得的改善受到地层特征(例如,水力传导率)和操作参数(例如,抽水速率和降压控制)的影响。需要进一步的优化和现场测试,以识别这种新提出的方法的全部潜力。 (C)2019 Elsevier B.V.保留所有权利。

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