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    题名 作者 年代 出处 被引量
1Screening the emission sources of volatile organic compounds (VOCs) in China by multi-effects evaluation显示文摘He NIU Ziwei MO Min SHAO Sihua LU ShaodongXIE 2016Frontiers of Environmental Science & Engineering2016,10,5:11
2Analysis of PM2.5 concentrations in Heilongjiang Province associated with forest cover and other factors显示文摘Atmospheric particulate matter(PM2.5) seriously influences air quality. It is considered one of the main environmental triggers for lung and heart diseases. Air pollutants can be adsorbed by forest. In this study we investigated the effect of forest cover on urban PM2.5 concentrations in 12 cities in Heilongjiang Province,China. The forest cover in each city was constant throughout the study period. The average daily concentration of PM2.5 in 12 cities was below 75 lg/m^3 during the non-heating period but exceeded this level during heating period. Furthermore, there were more moderate pollution days in six cities. This indicated that forests had the ability to reduce the concentration of PM2.5 but the main cause of air pollution was excessive human interference and artificial heating in winter. We classified the 12 cities according to the average PM2.5 concentrations. The relationship between PM2.5 concentrations and forest cover was obtained by integrating forest cover, land area,heated areas and number of vehicles in cities. Finally,considering the complexity of PM2.5 formation and based on the theory of random forestry, we selected six cities and analyzed their meteorological and air pollutant data. The main factors affecting PM2.5 concentrations were PM10,NO_2, CO and SO_2 in air pollutants while meteorological factors were secondary.Yu Zheng San Li Chuanshan Zou Xiaojian Ma Guocai Zhang 2019Journal of Forestry Research2019,30,1:6
3Mass concentrations and temporal profiles of PM10, PM2.5 and PM1 near major urban roads in Beijing显示文摘下午 10, 下午 2.5 和下午 1 的集体集中在六个时期期间在北京在主要道路附近被测量:2001 的夏天和冬季, 2007 的冬季,和时期在前,在期间并且在 2008 个北京奥运会以后。自从为机动车辆的努力帮助了从车辆的快速的生长抵消排出物的增加的控制,在路边的平均下午 2.5 集中在一个相对小的范围上在在 2001 和 2008 之间的采样时期期间波动。与控制在奥林匹克期间测量的暂时的交通的实现,清楚的 V 塑造了弯曲证明在路边的微粒物质和另外的气体的空气污染物质的集中随着时间的过去被识别。分别地,下午 10, 下午 2.5, 公司并且不的平均集中从 6 月在 31.2% , 46.3% , 32.3% 和 35.4% 减少了到 8 月;这被所有空气污染物质的反弹在 2008 年 12 月跟随。主要道路附近的每日的下午 10 集中在非奥林匹克时期为 61.2% of the days 超过了国家周围的空气质量标准(等级 II ) ,当时仅仅为 12.5% 在奥林匹克期间。主要道路附近的下午 2.5/ 下午 10 的吝啬的比率在 0.55 点仍然保持相对稳定(Liu YANG Ye WU Jiaqi LI Shaojie SONG Xuan ZHENG Jiming HAO 2015Frontiers of Environmental Science & Engineering2015,9,4:3
42016年冬季寿县一次边界层低空急流对污染物扩散的影响显示文摘利用安徽寿县地区2016年12月16~17日的观测资料与模拟资料,分析了一次夜间边界层低空急流对PM_(2.5)扩散的影响.此过程中,急流分布范围广,强度大,最大风速可达10~12m/s,而且风向随高度有明显转向,高低层风向差可达90°.急流发展过程中,急流轴基本位于200m以下,急流的最小风速高度出现在400~800m之间.通过分析可知,对于不同高度,急流对污染物扩散的影响存在明显差异.地面至急流轴范围内,PM_(2.5)总体减少.急流的出现使湍流混合明显增强,在湍流作用下污染物向上混合,使该层PM_(2.5)显著减少,净质量通量的峰值可达103×10^(-3)μg/(m^(2)·s).急流的水平输送可带来上风方较为清洁气团,同样减少了该层的PM_(2.5)浓度.但与湍流作用相比其影响较小,净质量通量仅为2.9×10^(-3)μg/(m^(2)·s).急流存在时,还会加强向下的垂直风速,在垂直输送作用下,上层污染物向下输送,增加了该层PM_(2.5)浓度,净质量通量约为11×10^(-3)μg/(m^(2)·s).急流轴至风向转变高度之间,PM_(2.5)总体增加.这是由于湍流作用将低层高浓度污染物输送至该层,使PM_(2.5)浓度增加,净质量通量约为23.9×10^(-3)μg/(m^(2)·s);水平输送作用使该层PM_(2.5)浓度略有增加,净质量通量约为2.3×10^(-3)μg/(m^(2)·s);而垂直输送作用带来了高处较为清洁的气团,减少了PM_(2.5)浓度,净质量通量约为-6.6×10^(-3)μg/(m^(2)·s).风向转变高度至LLJ最小风速高度之间,PM_(2.5)总体增加.湍流作用仍占主导,净质量通量约为17.8×10^(-3)μg/(m^(2)·s);垂直输送作用稍有贡献,净质量通量约为1.4×10^(-3)μg/(m^(2)·s);而水平输送起减少作用,净质量通量约为3.7×10^(-3)μg/(m^(2)·s).景翠雯 王成刚 冯妍 2022中国环境科学2022,42,7:0
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