首页> 外文期刊>Journal of the air & waste management association >The relationship between real-time and time-integrated coarse (2.5-10 mu m), intermodal (1-2.5 mu m), and fine (< 2.5 mu m) particulate matter in the Los Angeles Basin
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The relationship between real-time and time-integrated coarse (2.5-10 mu m), intermodal (1-2.5 mu m), and fine (< 2.5 mu m) particulate matter in the Los Angeles Basin

机译:洛杉矶盆地实时和时间积分的粗颗粒物(2.5-10微米),联运模式(1-2.5微米)和细颗粒(<2.5微米)之间的关系

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摘要

A periodic review of the National Ambient Air Quality Standards for Particulate Matter by the U.S. Environmental Protection Agency (EPA) will assess the standards with respect to levels, particle size, and averaging times. Some members of the scientific, community in the United States and Europe have suggested the use of PM1 instead of PM2.5 as the fine particle measurement standard. This proposed standard is intended to reduce the influence of coarse particle sources on PM2.5, because some evidence suggests that PM1-2.5 is dominated by coarse particulate matter (PM) sources.In this study, coarse (PM2.5-10), intermodal (PM1-2.5), and fine (PM2.5) mass concentrations at four different sites are measured with continuous and time-integrated sampling devices. The main objective is to compare variations in these three size ranges while considering the effects of location, sources, weather, wind speed, and wind direction. Results show strong correlations between PM1 and intermodal PM in receptor sites. The contribution of PM1-2.5 to PM2.5 is highest in the summer months, most likely due to enhanced long-range transport. Coarse PM is poorly correlated with intermodal PM. Continuous data suggest that PM1 is growing into PM1-25 via complex processes involving stagnation of the aerosol during high relative humidity conditions, followed by advection during daytime hours.
机译:美国环境保护署(EPA)会定期审查《国家环境空气质量标准》,以评估其水平,颗粒大小和平均时间。美国和欧洲的一些科学界人士建议使用PM1代替PM2.5作为细颗粒测量标准。该提议标准旨在减少粗颗粒物源对PM2.5的影响,因为一些证据表明PM1-2.5由粗颗粒物(PM)源控制。在本研究中,粗颗粒物(PM2.5-10)使用连续和时间积分的采样设备测量四个不同地点的联运模式(PM1-2.5)和精细浓度(PM2.5)。主要目的是在考虑位置,源,天气,风速和风向的影响的同时比较这三个大小范围内的变化。结果显示,PM1和多态性PM在受体位点之间有很强的相关性。在夏季,PM1-2.5对PM2.5的贡献最高,最有可能是由于远程运输的增强。粗颗粒物与多式联运物的相关性很差。连续数据表明,PM1是通过复杂的过程长成PM1-25的过程,涉及高相对湿度条件下气溶胶的停滞,然后在白天进行平流。

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