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Impact of meteorology on fine aerosols at Lucas Heights, Australia

机译:气象对澳大利亚卢卡斯高地的气溶胶的影响

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Ion Beam Analysis (IBA) techniques were used to assign nine years of PM2.5 observations to seven source types, at Lucas Heights, a topographically complex urban fringe site of Sydney. The highest contributions to total PM2.5 were from motor vehicles (Autos, 263%), secondary sulfur (2ndryS, 23.7%), a mixture of industry and aged sea air (IndSaged, 20.6%), and smoke (Smoke, 13.7%). The Autos contribution was highest in winter, whereas 2ndryS was highest in summer, indicating that mitigation measures targeting SO2 release in summer and vehicle exhaust in winter would be most effective in reducing the PM2.5 concentrations at this site. Since concentrations of particulate matter can be significantly affected by local meteorology, generalised additive model (GAM) techniques were employed to investigate relationships between PM2.5 source types and meteorological conditions. The GAM predictors used included: time (seasonal to inter-annual variations), mixing layer depth, temperature, relative humidity, wind speed, wind direction, and atmospheric pressure. Meteorological influences on PM2.5 variability were found to be 58% for soil dust, 46% for Autos, 41% for total PM2.5, and 35% for 2ndryS. Effects were much smaller for other source types. Temperature was found to be an important variable for the determination of total PM2.5, 2ndryS, IndSaged, Soil and Smoke, indicating that future changes in temperature are likely to have an associated change in aerosol concentrations. However, the impact on different source types varied. Temperature had the highest impact on 2ndryS (sometimes more than a factor of 4 increase for temperatures above 25 degrees C compared to temperatures under 10 degrees C) and IndSaged, being predominantly secondary aerosols formed in the atmosphere from precursors, whereas wind speed and wind direction were more important for the determination of vehicle exhaust and fresh sea salt concentrations. The marginal effect of relative humidity on 2ndryS increased up to relative humidity of 70-80% and then plateaued, confirming previous findings that (NH4)(2)SO4 is present in the solid phase below relative humidity of about 80%. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
机译:离子束分析(IBA)技术用于将9年的PM2.5观测值分配给悉尼地形复杂的城市边缘站点Lucas Heights的7种源类型。在PM2.5总量中贡献最大的是汽车(汽车,263%),二次硫(2ndryS,23.7%),工业和老龄空气的混合物(IndSaged,20.6%),以及烟雾(烟,13.7%) )。冬季,汽车的贡献最大,而夏季,2ndryS的贡献最大,这表明针对夏季释放SO2和冬季车辆尾气的缓解措施将最有效地降低该站点的PM2.5浓度。由于颗粒物的浓度会受到当地气象学的显着影响,因此采用广义加性模型(GAM)技术来研究PM2.5来源类型与气象条件之间的关系。使用的GAM预测因子包括:时间(季节到年际变化),混合层深度,温度,相对湿度,风速,风向和大气压。气象对PM2.5变异性的影响发现,土壤尘埃为58%,汽车为46%,总PM2.5为41%,第二ndS为35%。对于其他来源类型的影响要小得多。发现温度是确定总PM2.5、2ndryS,工业老化,土壤和烟雾的重要变量,这表明未来温度的变化可能与气溶胶浓度相关。但是,对不同来源类型的影响各不相同。温度对2ndryS的影响最大(对于25摄氏度以上的温度,与10摄氏度以下的温度相比,有时升高4倍)和IndSaged,主要是前体在大气中形成的二次气溶胶,而风速和风向对于确定汽车尾气和新鲜海盐浓度而言,这些指标更为重要。相对湿度对2ndryS的边际影响增加到70-80%的相对湿度,然后趋于平稳,证实了先前的发现,即(NH4)(2)SO4存在于低于约80%的相对湿度的固相中。 Crown版权所有(C)2016,由Elsevier Ltd.发行。保留所有权利。

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