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Source apportionment of fine particulate matter in Houston, TX, using organic molecular markers

机译:使用有机分子标记物对德克萨斯州休斯顿的细颗粒物进行源分配

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Using ambient concentrations of molecular markers, chemical mass balancing calculations have been performed to estimate the contribution of source categories to ambient fine particle levels at four sites in Houston, TX. Eight source profiles obtained using analytical methods equivalent to the techniques used in analysis of the ambient sample were used for the calculations. The chemical mass balancing model accurately reconstructed the measured concentrations of 24 molecular markers and three fine particle chemical components to estimate the contribution of each source to ambient fine particle loads. The results show that at three sites in the Houston urban area, diesel exhausts contribute between 1.6 and 3.7 mug m(-3) to ambient fine particle levels, while at an upwind background site, diesel exhausts represent 0.5 mug m(-3) of ambient fine particulate matter. Other important sources include gasoline-powered vehicles (1.1-2.8 mug m(-3) at three urban sites and 0.5 mug m(-3) at the background site); paved road dusts (1.0-2.8 mug m(-3) urban and 0.1 mug m(-3) background); meat cooking operations (0.9-1.3 mug m(-3) urban and 0.7 mug m(-3) background) and wood combustion (0.2 - 0.3 mug m(-3) urban and < 0. 1 mug m(-3) background). At one site located near the highly industrialized Houston Ship Channel, fuel oil combustion contributed an estimated 1.5 mug m(-3), while fuel oil combustion was not an important contribution at the other sites. Model runs using seasonally averaged data showed a high variation in source strength between seasons for some sources (i.e. paved road dusts much higher in the spring and summer than in the winter), while other sources showed little or no seasonal variation (i.e. vehicle exhausts and meat cooking operations). (C) 2003 Elsevier Science Ltd. All rights reserved. [References: 21]
机译:使用环境浓度的分子标志物,已经进行了化学物质平衡计算,以估算得克萨斯州休斯顿的四个地点的源类别对环境细颗粒水平的贡献。使用与环境样品分析中使用的技术等效的分析方法获得的八个源剖面用于计算。化学物质平衡模型可准确地重建24种分子标记物和3种微粒化学成分的测量浓度,以估算每种来源对环境微粒负荷的贡献。结果表明,在休斯敦市区的三个地点,柴油机尾气对周围细颗粒物的贡献在1.6和3.7杯m(-3)之间,而在上风背景点,柴油机尾气占0.5杯m(-3)环境细颗粒物。其他重要来源包括汽油动力车辆(在三个城市地点为1.1-2.8马克米(-3),在背景地点为0.5马克米(-3));铺装的道路扬尘(1.0-2.8杯子m(-3)城市和0.1杯子m(-3)背景);肉类烹饪操作(0.9-1.3马克杯m(-3)城市和0.7马克杯m(-3)背景)和木材燃烧(0.2-0.3马克杯m(-3)城市和<0。1马克杯m(-3)背景)。在高度工业化的休斯敦船舶航道附近的一个地点,燃油燃烧估计贡献了1.5杯m(-3),而在其他地点,燃油燃烧不是重要的贡献。使用季节性平均数据进行的模型运行显示,某些排放源的季节之间的排放源强度差异很大(例如,春季和夏季的铺装道路扬尘比冬季高得多),而其他排放源的季节变化很小或没有季节性变化(例如,车辆尾气和肉类烹饪操作)。 (C)2003 Elsevier ScienceLtd。保留所有权利。 [参考:21]

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