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利用 X 射线荧光技术测试树轮化学在玻璃厂遗址环境污染物示踪中的适用性。

Testing the applicability of dendrochemistry using X-ray fluorescence to trace environmental contamination at a glassworks site.

机构信息

Department of Physical Geography, Stockholm University, Sweden; Bolin Centre for Climate Research, Stockholm University, Sweden.

Department of Physical Geography, Stockholm University, Sweden; Bolin Centre for Climate Research, Stockholm University, Sweden.

出版信息

Sci Total Environ. 2020 Jun 10;720:137429. doi: 10.1016/j.scitotenv.2020.137429. Epub 2020 Feb 19.

DOI:10.1016/j.scitotenv.2020.137429
PMID:32146392
Abstract

The potential of dendrochemistry as a tool for tracing anthropogenic contamination at a glassworks site in southeastern Sweden was investigated through a multidisciplinary approach combining continuous high-resolution time series of tree rings and sediment profiles. Tree cores from Scots pine (Pinus sylvestris), Norway spruce (Picea abies) and European aspen (Populus tremula) were analysed for their elemental composition using an energy dispersive X-ray fluorescence (ED-XRF) technique. Sediment cores were sampled along a transect extending from the pollution point source to unpolluted areas and analysed using core-scanning-XRF (CS-XRF). High contaminant concentrations in the soil were found for As (≈2000 ppm), Pb (>5000 ppm), Ba (≈1000 ppm) and Cd (≈150 ppm). The concentrations decreased with depth and distance from the pollution source. The dendrochemical analyses revealed alterations in the Barium, Chlorine and Manganese profiles, allowing the identification of seven potential asynchronous releases from the glassworks. Our results suggest that differences in the response of tree species to elemental uptake together with soil chemical properties dictate the success of dendrochemistry as an environmental monitoring tool.

摘要

通过结合树轮和沉积物剖面的连续高分辨率时间序列的多学科方法,研究了树化学生作为追踪瑞典东南部玻璃厂遗址人为污染的工具的潜力。利用能量色散 X 射线荧光(ED-XRF)技术,对来自苏格兰松(Pinus sylvestris)、挪威云杉(Picea abies)和欧洲白杨(Populus tremula)的树芯进行了元素组成分析。沿着从污染点源到未污染区域的横断面采集了沉积物芯,并使用芯扫描 X 射线荧光(CS-XRF)进行了分析。在土壤中发现了高浓度的污染物,例如砷(≈2000ppm)、铅(>5000ppm)、钡(≈1000ppm)和镉(≈150ppm)。浓度随深度和距离污染源的增加而降低。树化学生分析显示钡、氯和锰的分布发生了变化,这使得能够确定玻璃厂的七个潜在的异步释放。我们的结果表明,树种对元素吸收的反应差异以及土壤化学性质决定了树化学生作为环境监测工具的成功与否。

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