卡车终点站和驾驶室的潜在空气有毒物质热点。

Thomas J Smith, Mary E Davis, Jaime E Hart, Andrew Blicharz, Francine Laden, Eric Garshick
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During these site visits, sorbent tubes were used to collect 12-hour integrated samples of hydrocarbons and aldehydes from upwind and downwind fence-line locations as well as inside truck cabs. Meteorologic data and extensive site information were collected with each sample. In Phase 2, repeat visits to six terminals were conducted to test the stability of concentrations across time and judge the representativeness of our previous measurements. During the repeat site visits, the sampling procedure was expanded to include real-time sampling for total hydrocarbon (HC) and PM2.5 at the terminal upwind and downwind sites and inside the truck cabs, two additional monitors in the yard for four-quadrant sampling to better characterize the influence of wind, and indoor sampling in the loading dock and mechanic shop work areas.</p><p><strong>Results: </strong>Mean and median concentrations of VOCs across the sampling locations in and around the truck terminals showed significant variability in the upwind concentrations as well as in the intensity of exposures for drivers, loading-dock workers, and mechanics. The area of highest concentrations varied, although the lowest concentrations were always found in the upwind background samples. However, the downwind samples, which included the terminal's contribution, were on average only modestly higher than the upwind samples. 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A principal component analysis of background source characteristics across the terminal locations that had repeat site visits identified three different groupings of variables (the \"components\"). This analysis suggested that a strong primary factor for hydrocarbons (alkanes and aromatics) was the major contributor to VOC variability in the yard upwind measurement. Aldehydes and acetone, which loaded onto the second and third components, were responsible for a smaller contribution to VOC variability. A multi-layer exposure model was constructed using structural equation modeling techniques that significantly predicted the yard upwind concentrations of individual VOCs as a function of wind speed, road proximity, and regional location (R2 = 0.5-0.9). This predicted value for the yard background concentration was then used to calculate concentrations for the loading dock and mechanic shop. Finally, we conducted a detailed descriptive analysis of the real-time data collected in the yard and in truck cabs during the six repeat site visits, which included more than 50 12-hour sessions at each sampling location. The real-time yard monitoring results suggested that under some conditions there was a clear upwind-to-downwind trend indicating a terminal contribution, which was not apparent in the integrated sampling data alone. They also suggested a nonlinear relationship with wind speed: calm conditions (wind speed < 2 mph) were associated with erratic upwind-downwind differences, lower wind speeds (2 to 10 mph) favored transport with little dilution, and higher wind speeds (> 10 mph) favored dilution and dispersal (more so for VOCs than for PM). Finally, an analysis of the real-time data for driver exposures in trucks with a global positioning system (GPS) matched with geographic information system (GIS) data suggested a clear influence of traffic and industrial sources along a given route with peaks in driver exposures. These peaks were largely associated with traffic, major intersections, idling at the terminals, and pickup and delivery (P&D) periods. However, VOCs and PM2.5 had different exposure patterns: VOCs exposures increased when the vehicle was stopped, and PM2.5 exposures increased during travel in traffic.</p><p><strong>Conclusions: </strong>All three types of testing sites--upwind and downwind fence-line locations and inside truck cabs while in heavy traffic--met the established definition for a hot spot by having periods with concentrations of pollutants that exceeded the EPA's screening values. 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引用次数: 0

摘要

热点是一种或多种空气有毒物质(有机蒸汽或颗粒物(PM))的浓度预计会升高的区域。我们对热点的定义使用了美国环境保护署(EPA*)的空气毒物筛选值。根据美国环保署的说法,筛选值“用于表明空气中某种化学物质的浓度,该浓度可以使人终生持续接触……而且不太可能产生有害影响(无论是癌症还是非癌症健康影响)。”(美国环保局2006年)。我们对挥发性有机化合物(VOCs)的表征;即18种碳氢化合物,甲基叔丁基醚[MTBE],丙酮和醛)被添加到我们正在进行的国家癌症研究所资助的肺癌和颗粒污染物浓度(空气动力学直径<或= 2.5微米的PM [PM2.5],元素碳[EC]和有机碳[OC])的研究中,以及美国卡车行业的来源分配。我们重点关注了货运码头内的三个可能的热点:受附近工业园区影响的逆风背景区域;受逆风及终端源影响的下风区域;码头内的装货码头和机械车间,以及在城市、郊区、农村街道和高速公路上行驶的卡车的驾驶室内部。方法:在我们研究的第一阶段,我们连续5天访问了美国各地的15个卡车码头。在这些现场访问中,使用吸附管收集了12小时的碳氢化合物和醛类的综合样本,这些样本来自上风和下风的围栏线位置以及卡车驾驶室内部。每个样本都收集了气象数据和广泛的现场信息。在第2阶段,对6个终端进行了重复访问,以测试浓度随时间的稳定性,并判断我们之前测量的代表性。在重复的现场访问中,采样程序扩展到包括在终端逆风和顺风地点以及卡车驾驶室内对总碳氢化合物(HC)和PM2.5进行实时采样,在院子里增加两个监视器进行四象限采样,以更好地表征风的影响,以及在装货码头和机械车间工作区域进行室内采样。结果:在卡车终点站内和周围的采样点,VOCs的平均浓度和中位数浓度在逆风浓度以及司机、装货码头工人和机械师的暴露强度方面表现出显著的变化。最高浓度的区域各不相同,但最低浓度总是在逆风背景样品中发现。然而,顺风样本,包括终端的贡献,平均仅略高于逆风样本。在卡车终点站,许多挥发性有机化合物(包括二甲苯、烷烃和丙酮)和颗粒物的浓度持续升高;装货码头的1,3-丁二烯、甲醛和乙醛浓度较高;非吸烟司机的苯、甲基叔丁基醚、苯乙烯和己烷暴露量增加。此外,装卸码头和堆场的EC和PM2.5背景浓度与许多VOCs高度相关(50%的测试对Spearman r > 0.5, 75%的测试对r > 0.4);机械车间VOCs与EC相关,与PM2.5不相关(r = 0.4 ~ 0.9显著);对于驾驶员暴露,VOC与EC和PM2.5的相关性相对较低,除了少数芳烃,主要是苯(r = 0.4-0.5)。对重复站点访问的终端位置的背景源特征进行主成分分析,确定了三种不同的变量组(“成分”)。这一分析表明,在院子逆风测量中,碳氢化合物(烷烃和芳烃)是VOC变化的主要因素。醛和丙酮,装载在第二和第三组分上,对挥发性有机化合物的可变性贡献较小。利用结构方程建模技术构建了多层暴露模型,该模型能显著预测出庭院上风方向VOCs浓度与风速、道路距离和区域位置的关系(R2 = 0.5-0.9)。然后,这个院子背景浓度的预测值被用来计算装货码头和机械车间的浓度。最后,我们对六次重复现场访问期间在场地和卡车驾驶室收集的实时数据进行了详细的描述性分析,其中包括在每个采样地点进行超过50次12小时的会议。实时堆场监测结果表明,在某些条件下,有明显的逆风-顺风趋势,表明终端贡献,这在单独的综合采样数据中并不明显。 他们还提出了与风速的非线性关系:平静条件(风速< 2英里/小时)与不稳定的上下风向差异有关,较低的风速(2至10英里/小时)有利于稀释和扩散,而较高的风速(> 10英里/小时)有利于稀释和扩散(对挥发性有机化合物比PM更有利)。最后,利用与地理信息系统(GIS)数据相匹配的全球定位系统(GPS)对卡车驾驶员暴露的实时数据进行了分析,结果表明,在驾驶员暴露达到峰值的特定路线上,交通和工业来源对驾驶员暴露的影响明显。这些高峰在很大程度上与交通、主要十字路口、码头空转以及取货和交货(P&D)期间有关。然而,VOCs和PM2.5的暴露模式不同:车辆停车时VOCs暴露量增加,而PM2.5暴露量在车辆行驶时增加。结论:所有三种类型的测试地点——顺风和顺风围线位置以及交通繁忙时的卡车驾驶室内部——都符合既定的热点定义,因为污染物浓度超过了EPA的筛选值。最常见的是,浓度超过筛选值的污染物是甲醛、乙醛和EC(作为柴油颗粒的标志);较少出现的是1,3-丁二烯和苯。在没有其他污染源聚集的单一卡车终点站顺风位置的情况下,高浓度的挥发性有机化合物和可吸入颗粒物并不常见。利用结构方程模型,开发了一个模型,可以识别可能产生热点的条件和因素的组合。源解析分析表明,EC主要来自柴油排放。正如研究地点所预期的那样,与车辆排放相关的有机蒸汽(C6-C8烷烃和芳烃)是voc的主要成分,其次是甲醛和乙醛。对于驾驶员暴露,高VOC值与停车有关,高PM2.5值与驾驶时的条件有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Potential air toxics hot spots in truck terminals and cabs.

Potential air toxics hot spots in truck terminals and cabs.

Introduction: Hot spots are areas where concentrations of one or more air toxics--organic vapors or particulate matter (PM)--are expected to be elevated. The U.S. Environmental Protection Agency's (EPA*) screening values for air toxics were used in our definition of hot spots. According to the EPA, a screening value "is used to indicate a concentration of a chemical in the air to which a person could be continually exposed for a lifetime ... and which would be unlikely to result in a deleterious effect (either cancer or noncancer health effects)" (U.S. EPA 2006). Our characterization of volatile organic compounds (VOCs; namely 18 hydrocarbons, methyl tert-butyl ether [MTBE], acetone, and aldehydes) was added onto our ongoing National Cancer Institute-funded study of lung cancer and particulate pollutant concentrations (PM with an aerodynamic diameter < or = 2.5 microm [PM2.5], elemental carbon [EC], and organic carbon [OC]) and source apportionment of the U.S. trucking industry. We focused on three possible hot spots within the trucking terminals: upwind background areas affected by nearby industrial parks; downwind areas affected by upwind and terminal sources; and the loading docks and mechanic shops within terminal as well as the interior of cabs of trucks being driven on city, suburban, and rural streets and on highways.

Methods: In Phase 1 of our study, 15 truck terminals across the United States were each visited for five consecutive days. During these site visits, sorbent tubes were used to collect 12-hour integrated samples of hydrocarbons and aldehydes from upwind and downwind fence-line locations as well as inside truck cabs. Meteorologic data and extensive site information were collected with each sample. In Phase 2, repeat visits to six terminals were conducted to test the stability of concentrations across time and judge the representativeness of our previous measurements. During the repeat site visits, the sampling procedure was expanded to include real-time sampling for total hydrocarbon (HC) and PM2.5 at the terminal upwind and downwind sites and inside the truck cabs, two additional monitors in the yard for four-quadrant sampling to better characterize the influence of wind, and indoor sampling in the loading dock and mechanic shop work areas.

Results: Mean and median concentrations of VOCs across the sampling locations in and around the truck terminals showed significant variability in the upwind concentrations as well as in the intensity of exposures for drivers, loading-dock workers, and mechanics. The area of highest concentrations varied, although the lowest concentrations were always found in the upwind background samples. However, the downwind samples, which included the terminal's contribution, were on average only modestly higher than the upwind samples. In the truck terminal, the mechanic-shop-area concentrations were consistently elevated for many of the VOCs (including the xylenes, alkanes, and acetone) and particulates; the loading-dock concentrations had relatively high concentrations of 1,3-butadiene, formaldehyde, and acetaldehyde; and nonsmoking driver exposures were elevated for benzene, MTBE, styrene, and hexane. Also, the loading dock and yard background concentrations for EC and PM2.5 were highly correlated with many of the VOCs (50% of pairs tested with Spearman r > 0.5 and 75% with r > 0.4); in the mechanic shop VOCs were correlated with EC but not PM2.5 (r = 0.4-0.9 where significant); and for driver exposures VOC correlations with EC and PM2.5 were relatively low, with the exception of a few aromatics, primarily benzene (r = 0.4-0.5). A principal component analysis of background source characteristics across the terminal locations that had repeat site visits identified three different groupings of variables (the "components"). This analysis suggested that a strong primary factor for hydrocarbons (alkanes and aromatics) was the major contributor to VOC variability in the yard upwind measurement. Aldehydes and acetone, which loaded onto the second and third components, were responsible for a smaller contribution to VOC variability. A multi-layer exposure model was constructed using structural equation modeling techniques that significantly predicted the yard upwind concentrations of individual VOCs as a function of wind speed, road proximity, and regional location (R2 = 0.5-0.9). This predicted value for the yard background concentration was then used to calculate concentrations for the loading dock and mechanic shop. Finally, we conducted a detailed descriptive analysis of the real-time data collected in the yard and in truck cabs during the six repeat site visits, which included more than 50 12-hour sessions at each sampling location. The real-time yard monitoring results suggested that under some conditions there was a clear upwind-to-downwind trend indicating a terminal contribution, which was not apparent in the integrated sampling data alone. They also suggested a nonlinear relationship with wind speed: calm conditions (wind speed < 2 mph) were associated with erratic upwind-downwind differences, lower wind speeds (2 to 10 mph) favored transport with little dilution, and higher wind speeds (> 10 mph) favored dilution and dispersal (more so for VOCs than for PM). Finally, an analysis of the real-time data for driver exposures in trucks with a global positioning system (GPS) matched with geographic information system (GIS) data suggested a clear influence of traffic and industrial sources along a given route with peaks in driver exposures. These peaks were largely associated with traffic, major intersections, idling at the terminals, and pickup and delivery (P&D) periods. However, VOCs and PM2.5 had different exposure patterns: VOCs exposures increased when the vehicle was stopped, and PM2.5 exposures increased during travel in traffic.

Conclusions: All three types of testing sites--upwind and downwind fence-line locations and inside truck cabs while in heavy traffic--met the established definition for a hot spot by having periods with concentrations of pollutants that exceeded the EPA's screening values. Most frequently, the pollutants with concentrations exceeding the screening values were formaldehyde, acetaldehyde, and EC (which serves as a marker for diesel particulate); less frequently they were 1,3-butadiene and benzene. In the case of the downwind location of a single truck terminal without an aggregation of other sources, high concentrations of VOCs and PM were infrequent. Using structural equation modeling, a model was developed that could identify combinations of conditions and factors likely to produce hot spots. Source apportionment analyses showed that EC came predominantly from diesel emissions. As expected from the sites studied, organic vapors associated with vehicle emissions (C6-C8 alkanes and aromatics) were the predominant components of VOCs, followed by formaldehyde and acetaldehyde. For driver exposures, high VOC values were associated with stopped vehicles, and high PM2.5 values were associated with conditions during driving.

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