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植物筛选作为一种在氯碱工厂划定氯化溶剂源的有效工具。

Phytoscreening as an efficient tool to delineate chlorinated solvent sources at a chlor-alkali facility.

作者信息

Yung Loïc, Lagron Jérôme, Cazaux David, Limmer Matt, Chalot Michel

机构信息

Laboratoire Chrono-Environnement (UMR 6249), Université de Bourgogne Franche-Comté, Pôle Universitaire du Pays de Montbéliard, 4 place Tharradin, BP 71427, 25211 Montbéliard, France.

INOVYN France, 39500 Tavaux Cedex, France.

出版信息

Chemosphere. 2017 May;174:82-89. doi: 10.1016/j.chemosphere.2017.01.112. Epub 2017 Jan 25.

DOI:10.1016/j.chemosphere.2017.01.112
PMID:28160680
Abstract

Chlorinated ethenes (CE) are among the most common volatile organic compounds (VOC) that contaminate groundwater, currently representing a major source of pollution worldwide. Phytoscreening has been developed and employed through different applications at numerous sites, where it was generally useful for detection of subsurface chlorinated solvents. We aimed at delineating subsurface CE contamination at a chlor-alkali facility using tree core data that we compared with soil data. For this investigation a total of 170 trees from experimental zones was sampled and analyzed for perchloroethene (PCE) and trichloroethene (TCE) concentrations, measured by solid phase microextraction gas chromatography coupled to mass spectrometry. Within the panel of tree genera sampled, Quercus and Ulmus appeared to be efficient biomonitors of subjacent TCE and PCE contamination, in addition to the well known and widely used Populus and Salix genera. Among the 28 trees located above the dense non-aqueous phase liquid (DNAPL) phase zone, 19 tree cores contained detectable amounts of CE, with concentrations ranging from 3 to 3000 μg L. Our tree core dataset was found to be well related to soil gas sampling results, although the tree coring data were more informative. Our data further emphasized the need for choosing the relevant tree species and sampling periods, as well as taking into consideration the nature of the soil and its heterogeneity. Overall, this low-invasive screening method appeared useful to delineate contaminants at a small-scale site impacted by multiple sources of chlorinated solvents.

摘要

氯化乙烯(CE)是污染地下水的最常见挥发性有机化合物(VOC)之一,目前是全球主要的污染源。植物筛选技术已经得到开发,并在众多场地通过不同应用得以采用,该技术通常有助于检测地下的氯化溶剂。我们旨在利用树木芯数据来描绘一家氯碱工厂地下的CE污染情况,并将这些数据与土壤数据进行比较。在本次调查中,我们对试验区的170棵树进行了采样,并分析了全氯乙烯(PCE)和三氯乙烯(TCE)的浓度,采用的是固相微萃取气相色谱-质谱联用技术进行测量。在所采样的树木属中,除了广为人知且广泛应用的杨树属和柳树属之外,栎属和榆属似乎也是下层TCE和PCE污染的有效生物监测器。在位于致密非水相液体(DNAPL)相区上方的28棵树中,19棵树芯含有可检测量的CE,浓度范围为3至3000μg/L。我们发现树木芯数据集与土壤气体采样结果密切相关,尽管树木芯数据提供的信息更多。我们的数据进一步强调了选择相关树种和采样时期的必要性,以及考虑土壤性质及其非均质性的必要性。总体而言,这种低侵入性筛选方法似乎有助于描绘受多种氯化溶剂源影响的小规模场地的污染物情况。

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