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Analysis and interpretation of particulate matter – PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway

机译：分析和解释颗粒物–城市道路附近异类交通产生的PM10，PM2.5和PM1排放

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Srimuruganandam Bathmanabhan; Shiva Nagendra Saragur Madanayak;
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年度 2010
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1. Analysis and interpretation of particulate matter – PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway [J] . Bathmanabhan Srimuruganandam, Saragur Madanayak Shiva Nagendra Atmospheric Pollution Research . 2010,第3期

机译：分析和解释颗粒物–城市道路附近异类交通产生的PM10，PM2.5和PM1排放
2. Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2.5) [J] . A. Suleiman, M.R. Tight, A.D. Quinn Atmospheric Pollution Research . 2019,第1期

机译：应用机器学习方法管理城市浓度的交通相关颗粒物质（PM10和PM2.5）
3. Road Traffic and PM10, PM2.5 Emission at an Urban Area in Algeria: Identification and Statistical Analysis [J] . N. Belarbi, M. Belamri, B. Dahmani, Pollution . 2020,第3期

机译：公路交通和PM10，PM2.5在阿尔及利亚市区的排放：鉴定和统计分析
4. Measurement and analysis of fine particulate matters (PM10/PM2.5) and condensable nanoparticles emission from stationary sources [C] . H. Kamiya, K. Hada, T. Sekizawa, International Conference on Sustainable Chemistry . 2011

机译：细颗粒物质（PM10 / PM2.5）的测量和分析，静止源的可粘附纳米粒子排放
5. Near-roadway Air Pollution: Evaluation of Fine Particulate Matter (PM2.5) and Ultrafine Particulate Matter (PM0.1) in Interior Alaska [D] . Kadir, Abdul. 2019

机译：近巷道空气污染：在内部阿拉斯加内部的细颗粒物（PM2.5）和超细颗粒物（PM0.1）的评价
6. ATR–FTIR Spectral Analysis and Soluble Components of PM10 And PM2.5 Particulate Matter over the Urban Area of Palermo (Italy) during Normal Days and Saharan Events [O] . Daniela Varrica, Elisa Tamburo, Marcello Vultaggio, 2019

机译：正常日和撒哈拉事件期间巴勒莫（意大利）市区上空的PM10和PM2.5颗粒物的ATR-FTIR光谱分析和可溶性成分
7. Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2.5) [O] . A. Suleiman, M.R. Tight, A.D. Quinn 2019

机译：应用机器学习方法管理城市浓度的交通相关颗粒物质（PM10和PM2.5）

Analysis and interpretation of particulate matter – PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway

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