设为首页
加入收藏
Effect of Meteorological Factors on PM2.5 in Late Summer and Early Autumn of Beijing
-
摘要: 利用北京宝联站及北京上甸子大气本底站2006—2008年的7—9月PM2.5连续观测资料以及北京市观象台的探空数据、海淀气象站的风廓线雷达和降水量等资料，对北京地区夏末秋初PM2.5的质量浓度特征及其与气象要素的关系进行了统计分析。结果表明：城区站各月平均PM2.5质量浓度明显高于郊区站，高空偏南气流的输送是造成城区及本底地区出现细颗粒物污染的主要原因。从地面风速来看，城区当北风和南风分别达到2 m·s-1和3.5 m·s-1以上时能起到扩散作用；郊区在低风速的北风条件下也能起到扩散和稀释作用，而南风基本上对郊区的颗粒物无扩散作用。PM2.5质量浓度在降水前后的清除量与降水量、初始质量浓度均呈正相关关系，城区及郊区的云下清除过程更多取决于降水前污染物的浓度，降水量作用较弱。当混合层高度突破1500 m时，垂直扩散对污染物的稀释扩散效果明显。Abstract: The characteristics of PM2.5 concentration of Beijing and the relationship with meteorological factors are investigated, using the PM2.5 data of Baolian, Shangdianzi stations, sounding data, wind profiling radar data and precipitation data during July, August and September from 2006 to 2008. The results show that the average PM2.5 concentration of late summer and early autumn at urban station (Baolian) are significantly higher than that of rural station (Shangdianzi). The prevailing southerly air flow of July to September of Beijing can transport the pollutants that generated in Tianjin, Hebei and Shanxi to Beijing. Due to the mountains blocking in the north, the pollutants are very likely to accumulate and form particle pollution. So the wind direction at 1500 m level has significant influence on PM2.5 concentration. The transport of pollutants by the southerly flow not only enhances the pollution level of urban, but also contributes to the fine particle pollution in regional background areas. The northerly flow is clean, and plays the important role of effective dilution and diffusion of PM2.5 in Beijing area. The ground wind speed plays different roles in urban and rural areas. The southerly and northerly wind could diffuse PM2.5 in urban area when the wind speed exceeds 2 m·s-1 and 3.5 m·s-1, respectively. In rural area, the northerly wind could dilute and diffuse PM2.5 effectively, but the southerly wind has no effect of diffusion. The variation of PM2.5 concentration has positive correlation with precipitation amount and PM2.5 initial concentration. The precipitation amount and PM2.5 initial concentration in the process of below-cloud scavenging in urban and rural areas are different. As the most critical factor in the below-cloud scavenging process, the capture coefficient depends on the raindrop size, particle size and the raindrop falling speed. Owing to high PM2.5 concentrations in urban area, the capture efficiency of PM2.5 per unit time is greater than that of rural area under the same precipitation condition. In rural area where PM2.5 concentration is lower, the scavenging process depends on the increase of precipitation amount. The PM2.5 concentration decreases with the increase of mixing layer when it exceeds 1000 m. Vertical diffusion of PM2.5 is more effective when the mixing height breakthrough 1500 m.
-
Key words:
- PM2.5;
- wind direction;
- wind speed;
- precipitation;
- mixing layer height
-
图 1 2006—2008年7—9月1500 m高空风向对宝联站 (a)、上甸子站 (b) PM2.5质量浓度影响
Fig. 1 The influence of 1500-meter wind direction on PM2.5 concentration at Baolian (a) and Shangdianzi (b) stations from July to September during 2006—2008
图 2 2006—2008年7—9月1500 m高空风速对宝联站与上甸子站PM2.5质量浓度影响
Fig. 2 The influence of 1500-meter wind speed on PM2.5 concentration at Baolian and Shangdianzi stations from July to September during 2006—2008
图 3 2006—2008年7—9月地面风速对宝联站 (a) 与上甸子站 (b) PM2.5质量浓度的影响
Fig. 3 The influence of surface wind speed on PM2.5 concentration at Baolian (a) and Shangdianzi (b) stations from July to September during 2006—2008
图 4 2006—2008年7—9月宝联站和上甸子站PM2.5清除量随小时降水量和PM2.5初始质量浓度的变化
Fig. 4 The elimination quantity with the variation of hourly precipitation and PM2.5 initial concentration from July to September during 2006—2008
图 5 2006—2008年7—9月PM2.5质量浓度与混合层高度关系
Fig. 5 Scatterplot of PM2.5 concentration and mixing layer height from July to September during 2006—2008
表 1 2006—2008年7—9月PM2.5质量浓度统计 (单位:μg·m-3)
Table 1 Concentration of PM2.5 from July to September during 2006—2008(unit:μg·m-3)
时段 2006年 2007年 2008年 宝联 上甸子 宝联 上甸子 宝联 上甸子 7月 74.5 55.6 97.8 63.5 80.8 53.3 8月 76.7 53.2 63.0 34.6 52.1 47.7 9月 73.2 47.0 73.4 45.6 48.9 33.9 平均 74.8 51.9 78.1 47.9 60.6 45.0 
下载: 导出CSV
-
[1] 于凤莲, 刘东贤, 胡英.有关气溶胶细粒子对城市能见度影响的研究.气象科技, 2002, 30(6):379-383. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200206013.htm [2] 宋宇, 唐孝炎, 方晨, 等.北京市能见度下降与颗粒物污染的关系.环境科学学报, 2003, 23(4):468-471. http://www.cnki.com.cn/Article/CJFDTOTAL-HJXX200304010.htm [3] Pope C R, Burnett R M J, Calle T E, et al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. Journal of the American Medical Association, 2002, 287: 1132-1141. doi: 10.1001/jama.287.9.1132 [4] Chan Y C, Simpson R W, Mctainsh G H, et al. Source apportionment of visibility degradation problems Brisban (Australia) using multiple linear regression techniques. Atmospheric Environment, 1999, 33(19): 3237-3250. doi: 10.1016/S1352-2310(99)00091-6 [5] 于淑秋, 徐祥德, 林学椿.北京市区大气污染的时空特征.应用气象学报, 2002, 13(特刊):92-99. http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2002&filename=YYQX2002S1009&v=MTM4MjV4WVM3RGgxVDNxVHJXTTFGckNVUkwyZll1ZHZGeXJrVkx2SVBEVGFkckc0SHRPdnJvOUZiWVI4ZVgxTHU= [6] Sun Y L, Zhuang G S, Wang Y, et al. The air-borne particulate pollution in Beijing-concentration, composition, distribution and sources. Atmospheric Environment, 2004, 38: 5991-6004. doi: 10.1016/j.atmosenv.2004.07.009 [7] Song Y, Tang X Y, Xie S D, et al. Source apportionment of PM2.5 in Beijing in 2004. Journal of Hazardous Materials, 2007, 146: 124-130. doi: 10.1016/j.jhazmat.2006.11.058 [8] 徐敬, 丁国安, 颜鹏, 等.北京地区PM2.5的成分特征及来源分析.应用气象学报, 2007, 18(5):645-654. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070599&flag=1 [9] 王英锋, 张姗姗, 李杏茹, 等.北京大气颗粒物中多环芳烃浓度季节变化及来源分析.环境化学, 2010, 29(3):369-375. http://www.cnki.com.cn/Article/CJFDTOTAL-HJHX201003006.htm [10] 蒲维维, 张小玲, 徐敬, 等.北京地区酸雨特征及影响因素.应用气象学报, 2010, 21(4):464-472. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20100410&flag=1 [11] 林云, 孙向明, 张小丽, 等.深圳市大气能见度与细粒子浓度统计模型.应用气象学报, 2009, 20(2):252-256. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090216&flag=1 [12] Zhao X J, Zhang X L, Xu X F, et al. Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing. Atmospheric Environment, 2009, 43: 2893-2900. doi: 10.1016/j.atmosenv.2009.03.009 [13] 刘洁, 张小玲, 徐晓峰, 等.北京地区SO2、NOX、O3、PM2.5变化特征的城郊对比分析.环境科学, 2008, 29(4):1059-1065. http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2008&filename=HJKZ200804040&v=MTU0MTJGeXJrV3IvUExTZkFkTEc0SHRuTXE0OUJaSVI4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUkwyZll1ZHY= [14] 董雪玲, 刘大锰, 袁杨森, 等.北京市2005年夏季大气颗粒物污染特征及影响因素.环境工程学报, 2007, 1(9):100-104. http://www.cnki.com.cn/Article/CJFDTOTAL-HJJZ200709022.htm [15] 严文莲, 周德平, 汪杨峰, 等.沈阳冬夏季可吸入颗粒物浓度及尺度谱分布特征.应用气象学报, 2008, 19(4):435-443. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20080407&flag=1 [16] Zheng X Y, Liu X D, Zhao F H, et al. Seasonal characteristics of biomass burning contribution to Beijing aerosol. Science in China (Series B), 2005, 48(5): 481-488. doi: 10.1360/042005-15 [17] 李令军, 王英, 张强, 等.麦秸焚烧对北京市空气质量影响探讨.中国科学 (D辑), 2008, 38(2):232-242. http://www.cnki.com.cn/Article/CJFDTOTAL-JDXK200802009.htm [18] 李金香, 赵越, 李令军, 等.麦秸焚烧导致的北京市大气污染时空分布和化学组成特征分析.环境科学学报, 2008, 28(9): 1904-1909. http://www.cnki.com.cn/Article/CJFDTOTAL-HJXX200809029.htm [19] 任阵海, 黄美元, 董保群, 等. 我国酸性物质的大气输送研究. 北京: 国家环保总局, 1995. [20] 张铮, 孟广礼.1988年两广地区春季酸雨观测和天气形势分析.北京大学学报 (自然科学版), 1992, 28(1):85-95. http://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ199201010.htm [21] 彭红, 秦瑜.降水对气溶胶粒子清除的参数化.大气科学, 1992, 16(5):622-630. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK199205013.htm -
计量
- 摘要浏览量: 5348
- HTML全文浏览量: 1029
- PDF下载量: 2169
- 被引次数: 0
