Personal and ambient exposures to air toxics in Camden, New Jersey.

Paul J Lioy, Zhihua Fan, Junfeng Zhang, Panos Georgopoulos, Sheng-Wei Wang, Pamela Ohman-Strickland, Xiangmei Wu, Xianlei Zhu, Jason Harrington, Xiaogang Tang, Qingyu Meng, Kyung Hwa Jung, Jaymin Kwon, Marta Hernandez, Linda Bonnano, Joann Held, John Neal
{"title":"Personal and ambient exposures to air toxics in Camden, New Jersey.","authors":"Paul J Lioy,&nbsp;Zhihua Fan,&nbsp;Junfeng Zhang,&nbsp;Panos Georgopoulos,&nbsp;Sheng-Wei Wang,&nbsp;Pamela Ohman-Strickland,&nbsp;Xiangmei Wu,&nbsp;Xianlei Zhu,&nbsp;Jason Harrington,&nbsp;Xiaogang Tang,&nbsp;Qingyu Meng,&nbsp;Kyung Hwa Jung,&nbsp;Jaymin Kwon,&nbsp;Marta Hernandez,&nbsp;Linda Bonnano,&nbsp;Joann Held,&nbsp;John Neal","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Personal exposures and ambient concentrations of air toxics were characterized in a pollution \"hot spot\" and an urban reference site, both in Camden, New Jersey. The hot spot was the city's Waterfront South neighborhood; the reference site was a neighborhood, about 1 km to the east, around the intersection of Copewood and Davis streets. Using personal exposure measurements, residential ambient air measurements, statistical analyses, and exposure modeling, we examined the impact of local industrial and mobile pollution sources, particularly diesel trucks, on personal exposures and ambient concentrations in the two neighborhoods. Presented in the report are details of our study design, sample and data collection methods, data- and model-analysis approaches, and results and key findings of the study. In summary, 107 participants were recruited from nonsmoking households, including 54 from Waterfront South and 53 from the Copewood-Davis area. Personal air samples were collected for 24 hr and measured for 32 target compounds--11 volatile organic compounds (VOCs*), four aldehydes, 16 polycyclic aromatic hydrocarbons (PAHs), and particulate matter (PM) with an aerodynamic diameter < or = 2.5 microm (PM2.5). Simultaneously with the personal monitoring, ambient concentrations of the target compounds were measured at two fixed monitoring sites, one each in the Waterfront South and Copewood-Davis neighborhoods. To understand the potential impact of local sources of air toxics on personal exposures caused by temporal (weekdays versus weekend days) and seasonal (summer versus winter) variations in source intensities of the air toxics, four measurements were made of each subject, two in summer and two in winter. Within each season, one measurement was made on a weekday and the other on a weekend day. A baseline questionnaire and a time diary with an activity questionnaire were administered to each participant in order to obtain information that could be used to understand personal exposure to specific air toxics measured during each sampling period. Given the number of emission sources of air toxics in Waterfront South, a spatial variation study consisting of three saturation-sampling campaigns was conducted to characterize the spatial distribution of VOCs and aldehydes in the two neighborhoods. Passive samplers were used to collect VOC and aldehyde samples for 24- and 48-hr sampling periods simultaneously at 22 and 16 grid-based sampling sites in Waterfront South and Copewood-Davis, respectively. Results showed that measured ambient concentrations of some target pollutants (mean +/- standard deviation [SD]), such as PM2.5 (31.3 +/- 12.5 microg/m3), toluene (4.24 +/- 5.23 microg/m3), and benzo[a]pyrene (0.36 +/- 0.45 ng/m3), were significantly higher (P < 0.05) in Waterfront South than in Copewood-Davis, where the concentrations of PM2.5, toluene, and benzo[a]pyrene were 25.3 +/- 11.9 microg/m3, 2.46 +/- 3.19 microg/m3, and 0.21 +/- 0.26 ng/m3, respectively. High concentrations of specific air toxics, such as 60 microg/m3 for toluene and 159 microg/m3 for methyl tert-butyl ether (MTBE), were also found in areas close to local stationary sources in Waterfront South during the saturation-sampling campaigns. Greater spatial variation in benzene, toluene, ethylbenzene, and xylenes (known collectively as BTEX) as well as of MTBE was observed in Waterfront South than in Copewood-Davis during days with low wind speed. These observations indicated the significant impact of local emission sources of these pollutants and possibly of other pollutants emitted by individual source types on air pollution in Waterfront South. (Waterfront South is a known hot spot for these pollutants.) There were no significant differences between Waterfront South and Copewood-Davis in mean concentrations of benzene or MTBE, although some stationary sources of the two compounds have been reported in Waterfront South. Further, a good correlation (R > 0.6) was found between benzene and MTBE in both locations. These results suggest that automobile exhausts were the main contributors to benzene and MTBE air pollution in both neighborhoods. Formaldehyde and acetaldehyde concentrations were found to be high in both neighborhoods. Mean (+/- SD) concentrations of formaldehyde were 20.2 +/- 19.5 microg/m3 in Waterfront South and 24.8 +/- 20.8 microg/m3 in Copewood-Davis. A similar trend was observed for the two compounds during the saturation-sampling campaigns. The results indicate that mobile sources (i.e., diesel trucks) had a large impact on formaldehyde and acetaldehyde concentrations in both neighborhoods and that both are aldehyde hot spots. The study also showed that PM2.5, aldehydes, BTEX, and MTBE concentrations in both Waterfront South and Copewood-Davis were higher than ambient background concentrations in New Jersey and than national average concentrations, indicating that both neighborhoods are in fact hot spots for these pollutants. Higher concentrations were observed on weekdays than on weekend days for several compounds, including toluene, ethylbenzene, and xylenes (known collectively as TEX) as well as PAHs and PM2.5. These observations showed the impact on ambient air pollution of higher traffic volumes and more active industrial and commercial operations in the study areas on weekdays. Seasonal variations differed by species. Concentrations of TEX, for example, were found to be higher in winter than in summer in both locations, possibly because of higher emission rates from automobiles and reduced photochemical reactivity in winter. In contrast, concentrations of MTBE were found to be significantly higher in summer than in winter in both locations, possibly because of higher evaporation rates from gasoline in summer. Similarly, concentrations of heavier PAHs, such as benzo[a]pyrene, were found to be higher in winter in both locations, possibly because of higher emission rates from mobile sources, the use of home heating, and the reduced photochemical reactivity of benzo[a]pyrene in winter. In contrast, concentrations of lighter PAHs were found to be higher in summer in both locations, possibly because of volatilization of these compounds from various surfaces in summer. In addition, higher concentrations of formaldehyde were observed in summer than in winter, possibly because of significant contributions from photochemical reactions to formaldehyde air pollution in summer. Personal concentrations of toluene (25.4 +/- 13.5 microg/m3) and acrolein (1.78 +/- 3.7 microg/m3) in Waterfront South were found to be higher than those in the Copewood-Davis neighborhood (13.1 +/- 15.3 microg/m3 for toluene and 1.27 +/- 2.36 microg/m3 for acrolein). However, personal concentrations for most of the other compounds measured in Waterfront South were found to be similar to or lower than those than in Copewood-Davis. (For example, mean +/- SD concentrations were 4.58 +/- 17.3 microg/m3 for benzene, 4.06 +/- 5.32 microg/m3 for MTBE, 16.8 +/- 15.5 microg/m3 for formaldehyde, and 0.40 +/- 0.94 ng/m3 for benzo[a]pyrene in Waterfront South and 9.19 +/- 34.0 microg/m3 for benzene, 6.22 +/- 19.0 microg/m3 for MTBE, 16.0 +/- 16.7 microg/m3 for formaldehyde, and 0.42 +/- 1.08 ng/m3 for benzo[a]pyrene in Copewood-Davis.) This was probably because many of the target compounds had both outdoor and indoor sources. The higher personal concentrations of these compounds in Copewood-Davis might have resulted in part from higher exposure to environmental tobacco smoke (ETS) of subjects from Copewood-Davis. The Spearman correlation coefficient (R) was found to be high for pollutants with significant outdoor sources. The R's for MTBE and carbon tetrachloride, for example, were > 0.65 in both Waterfront South and Copewood-Davis. The R's were moderate or low (0.3-0.6) for compounds with both outdoor and indoor sources, such as BTEX and formaldehyde. A weaker association (R < 0.5) was found for compounds with significant indoor sources, such as BTEX, formaldehyde, PAHs, and PM2.5. The correlations between personal and ambient concentrations of MTBE and BTEX were found to be stronger in Waterfront South than in Copewood-Davis, reflecting the significant impact of local air pollution sources on personal exposure to these pollutants in Waterfront South. Emission-based ambient concentrations of benzene, toluene, and formaldehyde and contributions of ambient exposure to personal concentrations of these three compounds were modeled using atmospheric dispersion modeling and Individual Based Exposure Modeling (IBEM) software, respectively, which were coupled for analysis in the Modeling Environment for Total Risk (MENTOR) system. The compounds were associated with the three types of dominant sources in the two neighborhoods: industrial sources (toluene), exhaust from gasoline-powered motor vehicles (benzene), and exhaust from diesel-powered motor vehicles (formaldehyde). Subsequently, both the calculated and measured ambient concentrations of each of the three compounds were separately combined with the time diaries and activity questionnaires completed by the subjects as inputs to IBEM-MENTOR for estimating personal exposures from ambient sources. Modeled ambient concentrations of benzene and toluene were generally in agreement with the measured ambient concentrations within a factor of two, but the values were underestimated at the high-end percentiles. The major local (neighborhood) contributors to ambient benzene concentrations were from mobile sources in the study areas; both mobile and stationary (point and area) sources contributed to the ambient toluene concentrations. This finding can be used as guidance for developing better emission inventories to characterize, through modeling, the ambient concentrations of air toxics in the study areas. (ABSTRACT TRUNCATED)</p>","PeriodicalId":74687,"journal":{"name":"Research report (Health Effects Institute)","volume":" 160","pages":"3-127; discussion 129-51"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research report (Health Effects Institute)","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Personal exposures and ambient concentrations of air toxics were characterized in a pollution "hot spot" and an urban reference site, both in Camden, New Jersey. The hot spot was the city's Waterfront South neighborhood; the reference site was a neighborhood, about 1 km to the east, around the intersection of Copewood and Davis streets. Using personal exposure measurements, residential ambient air measurements, statistical analyses, and exposure modeling, we examined the impact of local industrial and mobile pollution sources, particularly diesel trucks, on personal exposures and ambient concentrations in the two neighborhoods. Presented in the report are details of our study design, sample and data collection methods, data- and model-analysis approaches, and results and key findings of the study. In summary, 107 participants were recruited from nonsmoking households, including 54 from Waterfront South and 53 from the Copewood-Davis area. Personal air samples were collected for 24 hr and measured for 32 target compounds--11 volatile organic compounds (VOCs*), four aldehydes, 16 polycyclic aromatic hydrocarbons (PAHs), and particulate matter (PM) with an aerodynamic diameter < or = 2.5 microm (PM2.5). Simultaneously with the personal monitoring, ambient concentrations of the target compounds were measured at two fixed monitoring sites, one each in the Waterfront South and Copewood-Davis neighborhoods. To understand the potential impact of local sources of air toxics on personal exposures caused by temporal (weekdays versus weekend days) and seasonal (summer versus winter) variations in source intensities of the air toxics, four measurements were made of each subject, two in summer and two in winter. Within each season, one measurement was made on a weekday and the other on a weekend day. A baseline questionnaire and a time diary with an activity questionnaire were administered to each participant in order to obtain information that could be used to understand personal exposure to specific air toxics measured during each sampling period. Given the number of emission sources of air toxics in Waterfront South, a spatial variation study consisting of three saturation-sampling campaigns was conducted to characterize the spatial distribution of VOCs and aldehydes in the two neighborhoods. Passive samplers were used to collect VOC and aldehyde samples for 24- and 48-hr sampling periods simultaneously at 22 and 16 grid-based sampling sites in Waterfront South and Copewood-Davis, respectively. Results showed that measured ambient concentrations of some target pollutants (mean +/- standard deviation [SD]), such as PM2.5 (31.3 +/- 12.5 microg/m3), toluene (4.24 +/- 5.23 microg/m3), and benzo[a]pyrene (0.36 +/- 0.45 ng/m3), were significantly higher (P < 0.05) in Waterfront South than in Copewood-Davis, where the concentrations of PM2.5, toluene, and benzo[a]pyrene were 25.3 +/- 11.9 microg/m3, 2.46 +/- 3.19 microg/m3, and 0.21 +/- 0.26 ng/m3, respectively. High concentrations of specific air toxics, such as 60 microg/m3 for toluene and 159 microg/m3 for methyl tert-butyl ether (MTBE), were also found in areas close to local stationary sources in Waterfront South during the saturation-sampling campaigns. Greater spatial variation in benzene, toluene, ethylbenzene, and xylenes (known collectively as BTEX) as well as of MTBE was observed in Waterfront South than in Copewood-Davis during days with low wind speed. These observations indicated the significant impact of local emission sources of these pollutants and possibly of other pollutants emitted by individual source types on air pollution in Waterfront South. (Waterfront South is a known hot spot for these pollutants.) There were no significant differences between Waterfront South and Copewood-Davis in mean concentrations of benzene or MTBE, although some stationary sources of the two compounds have been reported in Waterfront South. Further, a good correlation (R > 0.6) was found between benzene and MTBE in both locations. These results suggest that automobile exhausts were the main contributors to benzene and MTBE air pollution in both neighborhoods. Formaldehyde and acetaldehyde concentrations were found to be high in both neighborhoods. Mean (+/- SD) concentrations of formaldehyde were 20.2 +/- 19.5 microg/m3 in Waterfront South and 24.8 +/- 20.8 microg/m3 in Copewood-Davis. A similar trend was observed for the two compounds during the saturation-sampling campaigns. The results indicate that mobile sources (i.e., diesel trucks) had a large impact on formaldehyde and acetaldehyde concentrations in both neighborhoods and that both are aldehyde hot spots. The study also showed that PM2.5, aldehydes, BTEX, and MTBE concentrations in both Waterfront South and Copewood-Davis were higher than ambient background concentrations in New Jersey and than national average concentrations, indicating that both neighborhoods are in fact hot spots for these pollutants. Higher concentrations were observed on weekdays than on weekend days for several compounds, including toluene, ethylbenzene, and xylenes (known collectively as TEX) as well as PAHs and PM2.5. These observations showed the impact on ambient air pollution of higher traffic volumes and more active industrial and commercial operations in the study areas on weekdays. Seasonal variations differed by species. Concentrations of TEX, for example, were found to be higher in winter than in summer in both locations, possibly because of higher emission rates from automobiles and reduced photochemical reactivity in winter. In contrast, concentrations of MTBE were found to be significantly higher in summer than in winter in both locations, possibly because of higher evaporation rates from gasoline in summer. Similarly, concentrations of heavier PAHs, such as benzo[a]pyrene, were found to be higher in winter in both locations, possibly because of higher emission rates from mobile sources, the use of home heating, and the reduced photochemical reactivity of benzo[a]pyrene in winter. In contrast, concentrations of lighter PAHs were found to be higher in summer in both locations, possibly because of volatilization of these compounds from various surfaces in summer. In addition, higher concentrations of formaldehyde were observed in summer than in winter, possibly because of significant contributions from photochemical reactions to formaldehyde air pollution in summer. Personal concentrations of toluene (25.4 +/- 13.5 microg/m3) and acrolein (1.78 +/- 3.7 microg/m3) in Waterfront South were found to be higher than those in the Copewood-Davis neighborhood (13.1 +/- 15.3 microg/m3 for toluene and 1.27 +/- 2.36 microg/m3 for acrolein). However, personal concentrations for most of the other compounds measured in Waterfront South were found to be similar to or lower than those than in Copewood-Davis. (For example, mean +/- SD concentrations were 4.58 +/- 17.3 microg/m3 for benzene, 4.06 +/- 5.32 microg/m3 for MTBE, 16.8 +/- 15.5 microg/m3 for formaldehyde, and 0.40 +/- 0.94 ng/m3 for benzo[a]pyrene in Waterfront South and 9.19 +/- 34.0 microg/m3 for benzene, 6.22 +/- 19.0 microg/m3 for MTBE, 16.0 +/- 16.7 microg/m3 for formaldehyde, and 0.42 +/- 1.08 ng/m3 for benzo[a]pyrene in Copewood-Davis.) This was probably because many of the target compounds had both outdoor and indoor sources. The higher personal concentrations of these compounds in Copewood-Davis might have resulted in part from higher exposure to environmental tobacco smoke (ETS) of subjects from Copewood-Davis. The Spearman correlation coefficient (R) was found to be high for pollutants with significant outdoor sources. The R's for MTBE and carbon tetrachloride, for example, were > 0.65 in both Waterfront South and Copewood-Davis. The R's were moderate or low (0.3-0.6) for compounds with both outdoor and indoor sources, such as BTEX and formaldehyde. A weaker association (R < 0.5) was found for compounds with significant indoor sources, such as BTEX, formaldehyde, PAHs, and PM2.5. The correlations between personal and ambient concentrations of MTBE and BTEX were found to be stronger in Waterfront South than in Copewood-Davis, reflecting the significant impact of local air pollution sources on personal exposure to these pollutants in Waterfront South. Emission-based ambient concentrations of benzene, toluene, and formaldehyde and contributions of ambient exposure to personal concentrations of these three compounds were modeled using atmospheric dispersion modeling and Individual Based Exposure Modeling (IBEM) software, respectively, which were coupled for analysis in the Modeling Environment for Total Risk (MENTOR) system. The compounds were associated with the three types of dominant sources in the two neighborhoods: industrial sources (toluene), exhaust from gasoline-powered motor vehicles (benzene), and exhaust from diesel-powered motor vehicles (formaldehyde). Subsequently, both the calculated and measured ambient concentrations of each of the three compounds were separately combined with the time diaries and activity questionnaires completed by the subjects as inputs to IBEM-MENTOR for estimating personal exposures from ambient sources. Modeled ambient concentrations of benzene and toluene were generally in agreement with the measured ambient concentrations within a factor of two, but the values were underestimated at the high-end percentiles. The major local (neighborhood) contributors to ambient benzene concentrations were from mobile sources in the study areas; both mobile and stationary (point and area) sources contributed to the ambient toluene concentrations. This finding can be used as guidance for developing better emission inventories to characterize, through modeling, the ambient concentrations of air toxics in the study areas. (ABSTRACT TRUNCATED)

新泽西州卡姆登的个人和环境暴露于空气有毒物质。
在新泽西州卡姆登的一个污染“热点”和一个城市参考地点,研究了个人接触和环境空气有毒物质浓度的特征。热点是该市的滨水南区(Waterfront South);参考地点是一个社区,向东约1公里,在Copewood街和Davis街的交汇处。通过个人暴露测量、住宅环境空气测量、统计分析和暴露建模,我们研究了当地工业和移动污染源(特别是柴油卡车)对两个社区个人暴露和环境浓度的影响。报告中详细介绍了我们的研究设计、样本和数据收集方法、数据和模型分析方法以及研究结果和主要发现。总共有107名参与者来自不吸烟的家庭,其中54名来自滨水区南部,53名来自科普伍德-戴维斯地区。收集个人空气样本24小时,测量32种目标化合物——11种挥发性有机化合物(VOCs*)、4种醛类化合物、16种多环芳烃(PAHs)和空气动力学直径<或= 2.5微米的颗粒物(PM) (PM2.5)。在个人监测的同时,在两个固定监测点测量了目标化合物的环境浓度,这两个监测点分别位于Waterfront South和Copewood-Davis社区。为了了解当地空气有毒物质来源对个人暴露的潜在影响,空气有毒物质来源强度的时间(工作日与周末)和季节(夏季与冬季)变化对每个受试者进行了四次测量,夏季两次,冬季两次。在每个季节中,一个测量在工作日进行,另一个在周末进行。为获得可用于了解在每个采样期间测量到的个人暴露于特定空气毒物的信息,对每个参与者进行了基线问卷和附有活动问卷的时间日记。考虑到滨水区南区空气中有毒物质的排放源数量较多,通过三次饱和采样,研究了滨水区南区挥发性有机化合物和醛类物质的空间分布特征。采用被动采样器,在滨水区南部和Copewood-Davis的22个栅格采样点和16个栅格采样点同时采集24和48小时的VOC和乙醛样品。结果表明,滨水区南区PM2.5 (31.3 +/- 12.5 μ g/m3)、甲苯(4.24 +/- 5.23 μ g/m3)、苯并[a]芘(0.36 +/- 0.45 ng/m3)等目标污染物的环境测量浓度(平均+/-标准差[SD])显著高于Copewood-Davis区,前者PM2.5、甲苯和苯并[a]芘的浓度分别为25.3 +/- 11.9、2.46 +/- 3.19和0.21 +/- 0.26 ng/m3。在饱和采样活动期间,在靠近滨水区南部当地固定污染源的地区也发现了高浓度的特定空气有毒物质,如甲苯为60微克/立方米,甲基叔丁基醚(MTBE)为159微克/立方米。低风速时,滨水区南部的苯、甲苯、乙苯和二甲苯(统称为BTEX)以及MTBE的空间变化大于Copewood-Davis。这些观察结果显示,这些污染物的本地排放源,以及可能由个别来源类型排放的其他污染物,对海旁南部的空气污染有重大影响。(众所周知,滨水区南部是这些污染物的热点地区。)South Waterfront和Copewood-Davis在苯或MTBE的平均浓度上没有显著差异,尽管South Waterfront报道了这两种化合物的一些固定来源。此外,在这两个地点,苯和MTBE之间存在良好的相关性(R > 0.6)。这些结果表明,汽车尾气是两个社区苯和甲基叔丁基醚空气污染的主要来源。两个社区的甲醛和乙醛浓度都很高。滨水区南区甲醛平均(+/- SD)浓度为20.2 +/- 19.5 μ g/m3, Copewood-Davis区为24.8 +/- 20.8 μ g/m3。在饱和采样运动期间,对这两种化合物观察到类似的趋势。结果表明,移动源(即柴油卡车)对两个社区的甲醛和乙醛浓度有很大影响,两者都是醛的热点。该研究还表明,滨水区南部和Copewood-Davis的PM2.5、醛类物质、BTEX和MTBE浓度高于新泽西州的环境背景浓度和全国平均浓度,表明这两个社区实际上是这些污染物的热点。 在工作日观察到的几种化合物的浓度高于周末,包括甲苯、乙苯和二甲苯(统称为TEX)以及多环芳烃和PM2.5。这些观测结果表明,研究区域在工作日交通流量增加和工商业活动增加对环境空气污染的影响。季节变化因物种而异。例如,在这两个地区,特克斯的浓度在冬季都比夏季高,这可能是由于冬季汽车排放率较高,光化学反应性降低。相比之下,这两个地点的MTBE浓度在夏季明显高于冬季,这可能是由于夏季汽油蒸发速率较高。同样,在这两个地点,发现较重的多环芳烃,如苯并[a]芘的浓度在冬季较高,这可能是由于移动源的排放率较高、家庭供暖的使用以及苯并[a]芘在冬季的光化学反应性降低所致。相比之下,在这两个地点,较轻的多环芳烃浓度在夏季都较高,可能是因为这些化合物在夏季从不同的表面挥发。此外,夏季甲醛浓度高于冬季,可能是由于光化学反应对夏季甲醛空气污染的贡献较大。滨水区南区的个人甲苯浓度(25.4 +/- 13.5 μ g/m3)和丙烯醛浓度(1.78 +/- 3.7 μ g/m3)均高于Copewood-Davis社区(甲苯浓度13.1 +/- 15.3 μ g/m3和丙烯醛浓度1.27 +/- 2.36 μ g/m3)。然而,在滨水区南部测量的大多数其他化合物的个人浓度与Copewood-Davis相似或低于这些浓度。(例如,滨水区南部地区苯并[a]芘的平均+/- SD浓度为4.58 +/- 17.3微克/m3, MTBE为4.06 +/- 5.32微克/m3,甲醛为16.8 +/- 15.5微克/m3,苯并[a]芘为0.40 +/- 0.94 ng/m3, Copewood-Davis地区苯并[a]芘为9.19 +/- 34.0微克/m3, MTBE为6.22 +/- 19.0微克/m3,甲醛为16.0 +/- 16.7微克/m3,苯并[a]芘为0.42 +/- 1.08 ng/m3。)这可能是因为许多目标化合物既有室外来源,也有室内来源。这些化合物在Copewood-Davis的个人浓度较高,部分原因可能是来自Copewood-Davis的受试者暴露于环境烟草烟雾(ETS)的程度较高。研究发现,对于室外污染源较多的污染物,Spearman相关系数(R)较高。例如,在Waterfront South和Copewood-Davis, MTBE和四氯化碳的R值均> 0.65。对于室外和室内源的化合物,如BTEX和甲醛,R值为中等或低(0.3-0.6)。对于具有重要室内来源的化合物,如BTEX、甲醛、多环芳烃和PM2.5,相关性较弱(R < 0.5)。滨水区南部的个人MTBE和BTEX浓度与环境浓度之间的相关性强于Copewood-Davis,反映了当地空气污染源对滨水区南部个人暴露这些污染物的显著影响。基于排放的苯、甲苯和甲醛的环境浓度以及环境暴露对这三种化合物的个人浓度的贡献分别使用大气扩散模型和基于个人暴露模型(IBEM)软件进行建模,并在总风险建模环境(MENTOR)系统中进行耦合分析。这些化合物与这两个社区的三种主要污染源有关:工业污染源(甲苯)、汽油动力机动车尾气(苯)和柴油动力机动车尾气(甲醛)。随后,计算和测量的三种化合物的环境浓度分别与受试者完成的时间日记和活动问卷相结合,作为IBEM-MENTOR的输入,用于估计个人从环境源暴露。模拟的苯和甲苯的环境浓度通常与测量的环境浓度在两个因子内一致,但在高端百分位数处,这些值被低估了。研究区环境苯浓度的主要贡献源为流动源;移动源和固定源(点源和区域源)都对环境甲苯浓度有贡献。这一发现可以作为制定更好的排放清单的指导,通过建模来描述研究地区空气有毒物质的环境浓度。(抽象截断)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信