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首页> 外文期刊>Journal of the air & waste management association >Fuel-based fine particulate and black carbon emission factors from a railyard area in Atlanta
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Fuel-based fine particulate and black carbon emission factors from a railyard area in Atlanta

机译:来自亚特兰大铁路场区域的基于燃料的细颗粒物和黑碳排放因子

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Railyards have the potential to influence local fine particulate matter (aerodynamic diameter ≤2.5 μm; PM_(2.5)) concentrations through emissions from diesel locomotives and supporting activities. This is of concern in urban regions where railyards are in proximity to residential areas. Northwest of Atlanta, Georgia, Inman and Tilford railyards are located beside residential neighborhoods, industries, and schools. The PM_(2.5) concentrations near the railyards is the highest measured amongst the state-run monitoring sites (Georgia Environmental Protection Division, 2012). The authors estimated fuel-based black carbon (BC) and PM_(2.5) emission factors for these railyards in order to help determine the impact of railyard activities on PM_(2.5) concentrations, and for assessing the potential benefits of replacing current locomotive engines with cleaner technologies. High-time-resolution measurements of BC, PM_(2.5), CO_2, and wind speed and direction were made at two locations, north and south of the railyards. Emissions factors (i.e., the mass of BC or PM_(2.5) per gallon of fuel burned) were estimated by using the downwind/upwind difference in concentrations, wavelet analysis, and an event-based approach. By the authors' estimates, diesel-electric engines used in the railyards have average emission factors of 2.8 ± 0.2 g of BC and 6.0 ± 0.5 g of PM_(2.5) per gallon of diesel fuel burned. A broader mix of railyard supporting activities appear to lead to average emission factors of 0.7 ± 0.03 g ofBC and 1.5 ±0.1 g of PM_(2.5) per gallon of diesel fuel burned. Railyard emissions appear to lead to average enhancements of approximately 1.7 ± 0.1 μg/m of PM_(2.5) and approximately 0.8 ± 0.01 μg/m~3 of BC in neighboring areas on an annual average basis. Uncertainty not quantified in these results could arise mainly from variability in downwind/upwind differences, differences in emissions of the diverse zones within the railyards, and the influence of on-road mobile source emissions.
机译:铁路站场有可能通过柴油机车和辅助活动的排放影响局部细颗粒物(空气动力学直径≤2.5μm; PM_(2.5))的浓度。在铁路站场靠近居民区的城市地区,这是值得关注的。亚特兰大,佐治亚州的西北部,英曼(Inman)和蒂尔福德(Tilford)铁路站都位于居民区,工业和学校旁边。铁路场附近的PM_(2.5)浓度是国家监测站点中测得的最高浓度(乔治亚州环境保护局,2012年)。作者估算了这些铁路站场的基于燃料的黑碳(BC)和PM_(2.5)排放因子,以帮助确定铁路站场活动对PM_(2.5)浓度的影响,并评估用现有机车发动机替换现有机车发动机的潜在利益。清洁技术。在铁路场的南北两个位置对BC,PM_(2.5),CO_2以及风速和风向进行了高分辨率的测量。通过使用浓度的顺风/逆风差异,小波分析和基于事件的方法来估算排放因子(即,每加仑燃料燃烧的BC或PM_(2.5)的质量)。根据作者的估计,铁路场中使用的柴油发动机的平均排放因子为每加仑燃烧的柴油2.8±0.2 g BC和6.0±0.5 g PM_(2.5)。铁路场支持活动的广泛混合似乎导致每加仑燃烧的柴油平均排放因子为0.7±0.03 g BC和1.5±0.1 g PM_(2.5)。铁路场的排放似乎导致每年平均增加邻近地区的PM_(2.5)约1.7±0.1μg/ m和BC约0.8±0.01μg/ m〜3。这些结果中未量化的不确定性可能主要由顺风/逆风差异的变化,铁路场内不同区域的排放差异以及公路上移动源排放的影响引起。

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    School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA,School of Environmental Engineering, Universidad de La Salle, Bogota, Colombia;

    School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA;

    School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA;

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