Air Quality Processes Research Section, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, ON, M3H 5T4, Canada; Civil Engineering Department, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Air Quality Processes Research Section, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, ON, M3H 5T4, Canada.
Environ Pollut. 2021 Jan 15;269:116115. doi: 10.1016/j.envpol.2020.116115. Epub 2020 Nov 23.
Alberta's oil sands tailings ponds are suspected to be a source of fugitive emissions of polycyclic aromatic compounds (PACs) to the atmosphere. Here we report, for the first time, fluxes of 6 parent and 21 alkylated PACs based on the measured co-located air and water concentrations using a two-film fugacity-based model (FUG), an inverse dispersion model (DISP) and a simple box model (BOX). Air samples were collected at the Suncor Tailings Pond 2/3 using a high volume air sampler from the "pond" and towards the pond ("non-pond") directions separately. Mean ∑PACs in air from the "pond" direction was greater than the "non-pond" direction by a factor of 17. Water-air fugacity ratio of 20 PACs quantifiable in water indicated net volatilization from water. Dispersion and box model results also indicated upward fluxes of 22 PACs. Correlation between the estimated flux results of BOX and DISP model was statistically significant (r = 0.99 and p < 0.05), and correlation between FUG and DISP results ranged from 0.54 to 0.85. In this first-ever assessment of PAC fluxes from tailings pond, the three models confirmed volatilization fluxes of PACs indicating Suncor Tailings Pond 2/3 is a source of PAC emissions to the atmosphere. This study addressed a key data gap identified in the Joint Oil Sands Monitoring Emissions Inventory Compilation Report (Government of Alberta and Canada, 2016) which is the lack of consistent real-world tailings pond fugitive emission monitoring of organic chemicals. Our findings highlight the need for measurements from other tailings ponds to determine their overall contribution in releasing PACs to the atmosphere. This paper presents a practical method for estimating PAC emissions from other tailings ponds, which can provide a better understanding of these fugitive emissions, and thereby help to improve the overall characterization of emissions in the oil sands region.
艾伯塔省的油砂尾矿池被怀疑是空气中多环芳烃(PACs)逸散排放的来源。在这里,我们首次报道了基于共定位空气和水浓度的 6 种母体和 21 种烷基化 PAC 通量,使用了双膜逸度模型(FUG)、反向扩散模型(DISP)和简单箱模型(BOX)。空气样品分别从“池塘”和“非池塘”方向使用高容量空气采样器在森科尔尾矿池 2/3 进行收集。来自“池塘”方向的空气中的∑PACs 的平均值大于“非池塘”方向的平均值,高出 17 倍。20 种可量化水中 20 种 PACs 的水-气逸度比表明从水中净挥发。扩散和箱式模型结果也表明存在向上的 22 种 PACs 通量。BOX 和 DISP 模型的估计通量结果之间的相关性具有统计学意义(r=0.99,p<0.05),FUG 和 DISP 结果之间的相关性范围从 0.54 到 0.85。在对来自尾矿池的 PAC 通量的首次评估中,这三个模型证实了 PACs 的挥发通量,表明森科尔尾矿池 2/3 是 PAC 排放到大气中的来源。这项研究解决了联合油砂监测排放清单编制报告(艾伯塔省政府和加拿大,2016 年)中确定的一个关键数据空白,即缺乏对有机化学品的尾矿池逸散排放的一致实际监测。我们的研究结果强调需要从其他尾矿池进行测量,以确定它们对大气中释放 PACs 的总体贡献。本文提出了一种从其他尾矿池估算 PAC 排放的实用方法,这可以更好地了解这些逸散排放物,从而有助于改善油砂地区的排放总体特征。