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Characterization of Spatial Air Pollution Patterns Near a Large Railyard Area in Atlanta Georgia

机译:佐治亚州亚特兰大的大型铁路场附近的空间空气污染模式特征

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摘要

Railyards are important transportation hubs, and they are often situated near populated areas with high co-located density of manufacturing, freight movement and commercial enterprises. Emissions occurring within railyards can affect nearby air quality. To better understand the air pollution levels in proximity to a major railyard, an intensive mobile air monitoring study was conducted in May 2012 around a major railyard area in Atlanta, GA, constituted of two separate facilities situated side-by-side. A total of 19 multi-hour mobile monitoring sessions took place over different times of day, days of the week, and under a variety of wind conditions. High time resolution measurements included black carbon (BC), particle number concentration (PN), particle optical extinction (EXT), oxides of nitrogen (NO, NO2, NOy), carbon monoxide (CO), and speciated air toxics. Urban background was estimated to contribute substantially (>70%) to EXT and CO, whereas BC, oxides of nitrogen (NOx) and toluene had comparably low background contributions (<30%). Mobile monitoring data were aggregated into 50 meter spatial medians by wind categories, with categories including low speed wind conditions (<0.5 m s−1) and, for wind speeds above that threshold, by wind direction relative to the railyard. Spatial medians of different pollutants measured had a wide range of correlation—gas-phase air toxics (benzene, toluene, acetaldehyde) had moderate correlation with each other (r = 0.46–0.59) and between toluene and CO (r = 0.53), but lower correlation for other pairings. PN had highest correlation with oxides of nitrogen (r = 0.55–0.66), followed by BC (r = 0.4), and lower correlation with other pollutants. Multivariate regression analysis on the full set of 50 m medians found BC and NO as having the strongest relationship to railyard emissions, in comparison to their respective background levels. This was indicated by an increase associated with transiting through the yard and inverse relationship with distance from the railyard; NO and BC decreased by a factor of approximately 0.5 and 0.7 over 1 km distance of the railyard boundary, respectively. Low speed, variable wind conditions were related to higher concentrations of all measured parameters.
机译:铁路货场是重要的交通枢纽,它们通常位于人口稠密的地区,制造业,货运和商业企业的密度很高。铁路场内发生的排放会影响附近的空气质量。为了更好地了解主要铁路站场附近的空气污染水平,2012年5月在乔治亚州亚特兰大的主要铁路站场区域进行了密集的移动空气监测研究,该研究区由两个并排布置的独立设施组成。在一天中的不同时间,一周中的不同日子以及各种风况下,总共进行了19个多小时的移动监控会话。高时间分辨率的测量包括黑碳(BC),颗粒数浓度(PN),颗粒消光(EXT),氮氧化物(NO,NO2,NOy),一氧化碳(CO)和特定的空气毒物。据估计,城市背景对EXT和CO的贡献很大(> 70%),而BC,氮氧化物(NOx)和甲苯的背景贡献相对较低(<30%)。移动监控数据按风类别汇总为50米的空间中位数,类别包括低速风况(<0.5 ms -1 );对于高于该阈值的风速,按相对于风向的风向铁路场。所测量的不同污染物的空间中位数具有广泛的相关性—气相空气中的毒物(苯,甲苯,乙醛)彼此之间(r = 0.46-0.59)以及甲苯与CO之间(r = 0.53)具有中等程度的相关性,但是其他配对的相关性较低。 PN与氮氧化物的相关性最高(r = 0.55-0.66),其次是BC(r = 0.4),与其他污染物的相关性较低。对整个50 m中位数进行的多元回归分析发现,与各自的背景水平相比,BC和NO与铁路废料排放之间的关系最密切。这通过与通过堆场过渡以及与铁路堆场的距离成反比关系而增加表示;在铁路围场边界的1 km距离内,NO和BC分别降低了约0.5和0.7。低速可变风况与所有测量参数的较高浓度有关。

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