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Spatial and Temporal Variations in Urban IPM Pollution and Analysis of Influencing Factors in Beijing

机译:北京市城市IPM污染及影响因素分析的空间与时间变化

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摘要

Based on the monitoring summer data obtained from 87 air sampling stations in Beijing urban area from 2007 to 2009, the spatial distribution of PM0.3, PM3.0 and PMS.O concentration and meteorological factors were simulated by using Kriging method. Meanwhile, the different regularity and spatial variability of inhalable particulate matter (IPM) were shown in the experiment. Furthermore, taking the case of data in 2009, the influences of different meteorological factors such as temperature, humidity and wind speed were analyzed and compared. Finally, based on land cover map abstracted from remote sensing image, research on the relationship of land use types and local IPM concentration has been carried out. The results showed that spherical models with nuggets could fit the variograms of airborne inhalable particulates. In recent years, the level of inhalable particulate pollution in Beijing has fallen substantially especially in 2008. The main polluted area was centralized at southwest, northwest was weaker. Pollution level in central city was relatively light, and the spatial relativity between three kinds of airborne inhalable particulate pollutant and their impact factors had spatial heterogeneity. As for the meteorological factors, the relative humidity significantly affected inhalable particulate pollution. Temperature was second, and the weakest factor was wind speed.
机译:根据2007年至2009年北京市区87个空气采样站所获得的监测夏季数据,通过使用Kriging方法模拟PM0.3,PM3.0和PMS的空间分布。浓度和气象因子。同时,实验中显示了可吸入颗粒物(IPM)的不同规律性和空间变异性。此外,在2009年采取数据的情况,分析了不同气象因素如温度,湿度和风速等的影响。最后,基于从遥感图像抽象的陆地覆盖图,已经进行了对土地利用类型和局部IPM浓度的关系的研究。结果表明,带有块的球形模型可以适应空气中可吸入颗粒的变量函数。近年来,北京可吸入的颗粒状污染水平大幅下降,特别是在2008年。主要污染区域在西南集中,西北部较弱。中心城市的污染水平相对较轻,三种空气中可吸入颗粒污染物与其影响因子之间的空间相对性具有空间异质性。至于气象因素,相对湿度显着影响可吸入颗粒污染。温度是秒,最弱的因子是风速。

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