Department of Land, Environment and Geo-Engineering, Politecnico di Torino, C.so Duca degli Abruzzi, 24, 10129 Turin, Italy.
Chemosphere. 2011 Jan;82(5):708-17. doi: 10.1016/j.chemosphere.2010.10.095. Epub 2010 Nov 20.
Polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) are ubiquitous contaminants, mainly released into the environment during combustion processes (point sources), but also from other sources (traffic, uncontrolled combustion). This study aims at investigating the contribution of a steel plant in NW Italy (700000tons of steelyear(-1)) to the air concentrations of PCDDs/PCDFs at local level, through the analysis of measured, modelled and literature data. The study was carried out in an area of 600km(2), using air quality data measured by the institutional monitoring network, data obtained from AERMOD simulations and literature data. The measured air concentrations were consistent with literature values for similar areas, and both the homologue profiles and PCA analyses showed a clear distinction between the monitoring stations and the source profiles. All the previous results were confirmed by the air dispersion model (AERMOD), that predicted PCDD/F air concentrations due to the steel plant from four to two orders of magnitude lower than those measured in the monitoring stations, highlighting the presence of other sources. This study outlines the limited influence of the source in the local PCDD/F air concentrations and at the same time the usefulness of a joint analysis of measured, literature and calculated data to correctly evaluate the role of a source to the local pollution. The study also highlights the usefulness of AERMOD as a complementary tool to define the correct placement of monitoring stations and to locate those areas expected to have the highest air concentrations deriving from a source.
多氯二苯并对二恶英(PCDDs)和多氯二苯并呋喃(PCDFs)是普遍存在的污染物,主要在燃烧过程(点源)中释放到环境中,但也来自其他来源(交通、失控燃烧)。本研究旨在通过分析实测、模拟和文献数据,研究意大利西北部一家钢铁厂(年产 70 万吨钢铁)对局部地区空气 PCDD/PCDF 浓度的贡献。该研究在 600km² 的区域内进行,使用机构监测网络测量的空气质量数据、AERMOD 模拟获得的数据和文献数据。实测的空气浓度与类似地区的文献值一致,同系物分布和 PCA 分析均表明监测站和源分布之间存在明显区别。所有这些先前的结果都得到了空气扩散模型(AERMOD)的证实,该模型预测了由于钢铁厂而导致的 PCDD/F 空气浓度,其值比监测站测量的值低四到两个数量级,突出了其他来源的存在。本研究概述了源对当地 PCDD/F 空气浓度的有限影响,同时也说明了实测、文献和计算数据联合分析对正确评估源对当地污染的作用的有用性。该研究还强调了 AERMOD 作为确定监测站正确位置和定位预期来自源的最高空气浓度区域的补充工具的有用性。