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Determination of Volatility Distributions of Primary Organic Aerosol Emissions from Internal Combustion Engines Using Thermal Desorption Gas Chromatography Mass Spectrometry

机译:用热脱附气相色谱质谱法测定内燃机一次有机气溶胶排放的挥发性分布

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A new technique for measuring the primary organic aerosol (POA) emissions from internal combustion engines is presented. The method combines thermal-optical OC/EC analysis and thermal desorption gas chromatography mass spectrometry (TD-GC-MS) of quartz filter samples collected using a dilution sampler to quantify the total emissions of low-volatility organics and to distribute them across the volatility basis set. These data can be used in conjunction with partitioning theory to predict the gas-particle partitioning and thus the total amount of POA over the entire range of atmospheric conditions. The approach is evaluated using POA emissions data from two gas-turbine engines and one diesel generator. To evaluate the new method, we directly measured the effects of temperature and concentration on gas-particle partitioning of the emissions from each. Predictions based on the volatility distributions derived from the filter analyses are consistent with the direct partitioning measurements. The new approach represents a major improvement over the traditional assumption of nonvolatile POA emissions, which over predicts actual POA emissions from these sources by a factor of 2-4 at typical ambient concentration and temperature. By using quartz filter samples, this new technique is designed to be applied to routine source test data. Volatility distributions derived using this new approach can also be applied directly to the large catalog of quartz filter data used by existing emission inventories and models. The emissions data derived from this approach are designed for use in the next generation of chemical transport models and emissions inventories that employ the volatility basis set approach to explicitly track the gas-particle partitioning of POA emissions.Copyright 2012 American Association for Aerosol ResearchView full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/02786826.2012.700430
机译:提出了一种测量内燃机主要有机气溶胶(POA)排放的新技术。该方法将热光学OC / EC分析和热解吸气相色谱质谱(TD-GC-MS)结合在一起,使用稀释采样器收集石英过滤器样品,以量化低挥发性有机物的总排放量并将它们分布在整个挥发性中基础集。这些数据可以与分配理论结合使用,以预测气体颗粒分配,从而预测整个大气条件范围内的POA总量。该方法是使用来自两台燃气涡轮发动机和一台柴油发电机的POA排放数据进行评估的。为了评估该新方法,我们直接测量了温度和浓度对每种排放物的气体颗粒分配的影响。基于从滤波器分析得出的挥发性分布的预测与直接分区测量结果一致。新方法代表了对非易失性POA排放的传统假设的重大改进,后者在典型的环境浓度和温度下,高估了这些来源的实际POA排放量,为2-4倍。通过使用石英过滤器样本,该新技术旨在应用于常规源测试数据。使用这种新方法得出的挥发性分布也可以直接应用于现有排放清单和模型所使用的大型石英过滤器数据目录。通过这种方法得出的排放数据旨在用于下一代化学迁移模型和排放清单,这些模型和排放清单采用挥发性基础集方法来明确跟踪POA排放的气体颗粒划分。2012年美国气溶胶研究协会版权所有查看全文下载全文相关变量var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/02786826.2012.700430

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