首页> 外文期刊>The Science of the Total Environment >Source apportionment of ambient fine and coarse particulate matter at the Fort McKay community site, in the Athabasca Oil Sands Region, Alberta, Canada
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Source apportionment of ambient fine and coarse particulate matter at the Fort McKay community site, in the Athabasca Oil Sands Region, Alberta, Canada

机译:加拿大艾伯塔省阿萨巴斯卡油砂地区的麦凯堡社区遗址的环境细颗粒和粗颗粒物的来源分配

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An ambient air particulate matter sampling study was conducted at the Wood Buffalo Environmental Association (WBEA) AMS-1 Fort McKay monitoring station in the Athabasca Oil Sand Region (AOSR) in Alberta, Canada from February 2010 to July 2011. Daily 24 h integrated fine (PM_(2.5)) and coarse (PM_(10-2.5)) particulate matter was collected using a sequential dichotomous sampler. Over the duration of the study, 392 valid daily dichotomous PM_(2.5) and PM_(10-2.5) sample pairs were collected with concentrations of 6.8 ± 12.9 μg m~(− 3) (mean ± standard deviation) and 6.9 ± 5.9 μg m~(− 3), respectively. A subset of 100 filter pairs was selected for element analysis by energy dispersive X-ray fluorescence and dynamic reaction cell inductively coupled plasma mass spectrometry. Application of the U.S. EPA positive matrix factorization (PMF) receptor model to the study data matrix resolved five PM_(2.5) sources explaining 96% of the mass including oil sands upgrading (32%), fugitive dust (26%), biomass combustion (25%), long-range Asian transport lead source (9%), and winter road salt (4%). An analysis of historical PM_(2.5) data at this site shows that the impact of smoke from wildland fires was particularly high during the summer of 2011. PMF resolved six PM_(10-2.5) sources explaining 99% of the mass including fugitive haul road dust (40%), fugitive oil sand (27%), a mixed source fugitive dust (16%), biomass combustion (12%), mobile source (3%), and a local copper factor (1%). Results support the conclusion of a previous epiphytic lichen biomonitor study that near-field atmospheric deposition in the AOSR is dominated by coarse fraction fugitive dust from bitumen mining and upgrading operations, and suggest that fugitive dust abatement strategies targeting the three major sources of PM_(10-2.5) (e.g., oil sand mining, haul roads, bulk material stockpiles) would significantly reduce near-field atmospheric deposition gradients in the AOSR and reduce ambient PM concentrations in the Fort McKay community.
机译:从2010年2月至2011年7月,在加拿大艾伯塔省阿萨巴斯卡油砂地区(AOSR)的伍德布法罗环境协会(WBEA)AMS-1麦凯堡监测站进行了环境空气颗粒物采样研究。每天24小时综合罚款使用连续二分采样器收集(PM_(2.5))和粗颗粒(PM_(10-2.5))颗粒物。在研究期间,共收集了392对有效的每日二分对PM_(2.5)和PM_(10-2.5)样品对,其浓度分别为6.8±12.9μgm〜(-3)(平均值±标准偏差)和6.9±5.9μg m〜(-3)。通过能量色散X射线荧光和动态反应池电感耦合等离子体质谱法选择了100个过滤器对的子集进行元素分析。将美国EPA正矩阵分解(PMF)受体模型应用于研究数据矩阵可解决五个PM_(2.5)来源,从而解释了96%的质量,包括油砂升级(32%),短尘(26%),生物质燃烧( 25%),亚洲远程运输铅源(9%)和冬季路盐(4%)。对该站点历史PM_(2.5)数据的分析表明,在2011年夏季,来自野火的烟雾影响特别大。PMF解析了六个PM_(10-2.5)源,解释了99%的质量,包括短途运输粉尘(40%),短效油砂(27%),混合源短效粉尘(16%),生物质燃烧(12%),移动源(3%)和局部铜因子(1%)。结果支持了先前的附生地衣生物监测器研究的结论,即AOSR中近场的大气沉积主要是来自沥青开采和升级作业的粗颗粒短效扬尘,并提出了针对PM_3的三个主要来源的短效扬尘消除策略-2.5)(例如,油砂开采,运输道路,散装物料库存)将显着降低AOSR中的近场大气沉积梯度,并降低Fort McKay社区中的环境PM浓度。

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