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Seasonal Characteristics and Particle-size Distributions of Particulate Air Pollutants in Urumqi

机译:乌鲁木齐颗粒空气污染物的季节性特征及粒度分布

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Urban particulate air pollution is a known cause of adverse human health effects worldwide. Urumqi is a large oasis city in which rapid urbanization has caused a series of eco-environmental problems including serious air pollution, water shortage, dense population, excess energy consumption, and the creation of an urban heat island, among others. Coal is the most important source of energy and air pollutants that are poorly dispersed into the natural surroundings are the main reasons for serious pollution in the Urumqi urban area. Using differential optical absorption spectroscopy (DOAS), aerosol levels were determined using the double optical path method. We found that aerosol concentrations in Urumqi increased rapidly in winter, and that the concentration of fine particles was much higher than that of coarse particles. The background aerosol concentration was highest in winter in the research area, and the air-flow speed had a significant impact on this because high speed surface winds that correspond to high air flows can transport the aerosol to other places. Some of the observed day-to-night differences may be caused by differing wind directions that transport air masses from different emission sources during the day and the night. Daily and seasonal differences in PM1.0 concentrations of different grades of polluted air were statistically analyzed using average daily concentration data for particles smaller than 10, 2.5 and 1.0 microns (PM10, PM2.5 and PM1.0), and meteorological observations for Urumqi, Tianshan District in 2010.
机译:城市微粒空气污染是全世界不良人体健康影响的已知原因。乌鲁木齐是一个大型绿洲城市,其中迅速城市化导致了一系列生态环境问题,包括严重的空气污染,缺水,密集的人口,过度的能源消耗以及城市热岛的创造等。煤炭是最重要的能源和空气污染物来源,这些来源不当进入自然环境,是乌鲁木齐市区严重污染的主要原因。使用差分光学吸收光谱(DOAs),使用双光路法测定气溶胶水平。我们发现乌鲁木齐的气溶胶浓度在冬季迅速增加,细颗粒的浓度远高于粗颗粒的浓度。在研究领域的冬季背景气溶胶浓度最高,气流速度对此产生了重大影响,因为对应于高空气流量的高速表面风可以将气溶胶运送到其他地方。一些观察到的日常差异可能是由于在白天和夜晚在不同排放源的空气群众传输空气群众而导致的。使用小于10,2.5和1.0微米(PM10,PM2.5和PM1.0)的颗粒的平均日常浓度数据,对PM1.0浓度不同污染空气的每日和季节差异进行统计分析。 ,天山区2010年。

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