设为首页
加入收藏
北京地区PM2.5的成分特征及来源分析
Componential Characteristics and Sources Identification of PM2.5 in Beijing
-
摘要: 选用2003—2004年初PM2.5连续观测资料，统计分析了北京地区PM2.5的特征、PM2.5与PM10以及PM2.5与地面气象要素的相互关系。结果表明：四季中夏季PM2.5浓度最低，冬、春两季浓度较高。PM2.5与PM10比值平均为0.55，非采暖期两者比值为0.52，采暖期两者比值为0.62；夏季该比值主要分布在0.3~0.6之间，春、秋两季该比值分布在0.3~0.8之间，冬季采暖期该比值分布在0.4~0.9之间。PM2.5与PM10比值日变化与气象条件日变化、人们日常生活习惯密切相关，沙尘天气和交通运输高峰期扬起地面粗颗粒物会导致PM2.5在PM10中的比例下降，而冬季取暖以及夏季光化学反应则会引起PM2.5的比例升高。PM2.5的浓度与地面气象要素中本站气压、相对湿度和风速有很好的的相关性，与气温的相关性较差。SO42-，NO3-和NH4+为北京地区PM2.5中主要离子。PMF源解析方法确定了北京地区5类细粒子污染源，分别是：土壤尘、煤燃烧、交通运输、海洋气溶胶以及钢铁工业。Abstract: Statistic analysis is made of the characters of the mass concentrations and chemical compositions of PM2.5 in Beijing, based on the observations during the period of 2003 to 2004. It is found that the mean concentration of PM2.5 shows the lowest value in summer, while it reaches the maximum of year in winter and spring. Moreover, the daily average mass concentration of PM2.5 in summer is 71 μg/m3, which is lower than that in other seasons of about 110 μg/m3. The yearly average mass concentration of PM2.5 is 100 μg/m3, which is much higher than the U S Air Quality Standard for yearly average mass concentration of PM2.5 of 15 μg/m3. Then, the relationship of PM2.5 and PM10 is discussed. The mean ratio of PM2.5 to PM10 is 0.55 for the whole year, which is close to the values in previous research for other cities including Guangzhou, Wuhan, Chongqing and Lanzhou in China. In addition, the mean ratio of PM2.5 to PM10 is 0.62 and 0.52 for the heating and non heating season respectively. It shows a slightly high trend in the heating period. Seasonal characteristics of the ratio of PM2.5 to PM10 is 0.3—0.6 in summer, 0.3—0.8 in spring and autumn, and 0.4—0.9 in winter. The results indicate that diurnal ratio of PM2.5 to PM10 responds to the meteorological conditions and the anthropogenic activities. Sand dust weather and daily traffic lead to the increase in concentration of coarse particles more rapidly than that of fine particles in atmosphere. As a result, the ratio of PM2.5 to PM10 decreases. On the other hand, the house heating in winter and the photochemical reaction in summer cause the increase in the ratio of PM2.5 to PM10 as well. Furthermore, the analysis to meteorological factors reveals that the change of the concentration of PM2.5 is well related to pressure, relative humidity, and wind speed. In addition to the positive correlation with humidity, the mass concentration of PM2.5 is negatively correlated with wind and pressure except in summer. Finally, the sources of PM2.5 are analyzed by using the method of positive matrix factorization. It is found that SO42-, NO3- and NH4+ are the primary water soluble ions in PM2.5 in Beijing. Moreover, five sources of PM2.5 in Beijing are identified. They are soil dust, coal combustion, traffic, sea salt aerosol and steel production. Compared with the results of previous research in sources identification of aerosol in Beijing, some conclusions are made. Firstly, soil dust and coal combustion have been the primary sources since 1980 s, while the contribution of traffic emission to fine particles has grown gradually from 1983 to 2001. Secondly, the effects of a number of sources including coal combustion, sea salt aerosol, biofuel combustion and second aerosol, on PM2.5 vary with seasons. Thirdly, the process of transportation affects the composition of PM2.5 distinctly, and the characteristic element of PM2.5 from special sources related with the wind direction closely. Besides, the results of sources identification to PM2.5 in Beijing area are different in different sites and periods. As a result, selecting representative sites and observing period for the study is very important.
-
Key words:
- Beijing area;
- PM2.5;
- element;
- PMF
-
图 3 各季PM2.5质量浓度与气象条件的相关性
Fig. 3 Correlation between PM2.5 mass concentration and meteorological condition in each season
表 1 各季PM2. 5浓度日平均状况
Table 1 Daily average mass concentration of PM2. 5 in each season
表 2 PM2. 5与PM10比值比较
Table 2 Ratio of PM2.5 to PM10
表 3 细粒子中元素年平均浓度比较(单位: μg/m3)
Table 3 Yearly average mass concentration of elements of PM2.5(unit:μg/m3)
表 4 北京地区气溶胶来源解析
Table 4 Comparison of sources identification results of aerosol in Beijing
-
[1] 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://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2002S1009.htm [2] 杨复沫, 魏克斌, 马永亮, 等.北京PM2.5浓度变化特征及其与PM10、TSP的关系.中国环境科学, 2002, 22(6):506-510. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ200206007.htm [3] 宋宇, 唐孝炎, 方晨, 等.北京市大气细粒子的来源分析.环境科学, 2002, 23(6):11-16. http://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ200206002.htm [4] Huang S, Rahn K A, Arimoto R.Testing and Optimizing two factor-analysis techniques on aerosol at Narragansett, Rhode Island.Atmos Environ, 1999, 33:2169-2185. doi: 10.1016/S1352-2310(98)00324-0 [5] Eddie Lee, Chak K Chan, Pentti Paatero.Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong.Atmos Environ, 1999, 33:3201-3212. doi: 10.1016/S1352-2310(99)00113-2 [6] Prendes P, Andrade J M, Lopez Mahia P, et al.Source apportion of inorganic ions in airborne urban particles from Coruna city(N.W.of Spain)using positive matrix factorization.Talanta, 1999, 49:165-178. doi: 10.1016/S0039-9140(98)00356-7 [7] Xie Y L, Hopke P K, Paatero P, et al.Identification of source nature and seasonal variation of Arctic aerosol by positive matrix factorization.J Atmos Sci, 1999, 56:249-260. doi: 10.1175/1520-0469(1999)056<0249:IOSNAS>2.0.CO;2 [8] Chueinta W, Hopke P K, Pzacero P.Investigation of source of atmospheric aerosol et urban and suburban residential areas in Thailand by positive matrix factorization.Atmos Environ, 2000, 34:3319-3329. doi: 10.1016/S1352-2310(99)00433-1 [9] US Environmental Protection Agency.National Ambient Air Quality Standards.1997. https://www.epa.gov/sites/production/files/2015-02/documents/criteria.pdf [10] 鲁兴, 吴贤涛.北京冬季采暖期大气中的PM10和PM2.5质量浓度变化分析.焦作工学院学报(自然科学版), 2004, 23(6):487-490. http://www.cnki.com.cn/Article/CJFDTOTAL-JGXB200406025.htm [11] 杨复沫, 贺克斌, 马永亮, 等.北京市大气PM2.5中微量元素的浓度变化特征与来源.环境科学, 2003, 24(6):33-37. http://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ200306004.htm [12] 魏复盛, 滕恩江, 吴国平, 等.我国4个大城市空气PM2.5、PM10污染及其化学组成.中国环境监测, 2001, 17(增刊):1-6. http://www.cnki.com.cn/Article/CJFDTOTAL-IAOB2001S1000.htm [13] Xavier Querol, Andrés Alastuey, Sergio Rodriguez, et al.Monitoring of PM10 and PM2.5 around primary particulate anthropogenic emission sources.Atmos Environ, 2001, 35:845-858. doi: 10.1016/S1352-2310(00)00387-3 [14] Xavier Querol, Andrés Alastuey, Sergio Rodriguez, et al.PM10 and PM2.5 source apportionment in the Barcelona metropolitan area, Spain.Atmos Environ, 2001, 35:6407-6419. doi: 10.1016/S1352-2310(01)00361-2 [15] 王淑英, 张小玲.北京地区PM10污染的气象特征.应用气象学报, 2003, 13(增刊):177-184. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2002S1019.htm [16] Philip K Hope.A Guide to Positive Matrix Factorization.http:∥www.epa.gov/ttnamti1/files/ambient/pm25/workshop/laymen.pdf. [17] ChanY C, Simpson R W.Characterization of chemical species in PM2.5 and PM10 aerosol in Brisbane, Australia.Atmos Environ, 1997, 31:3773-3785. doi: 10.1016/S1352-2310(97)00213-6 [18] Maenhaut W, Francois F, Cafmeyer J, et al.Atmospheric Aerosol Studies Using the Gent Stacked Filter Unit and Other Aerosol Collectors, with Multi-elemental Analysis of the Samples by Nuclear-related Analytical Techniques.Applied Research on Air Pollution Using Nuclear-related Analytical Techniques(Report on the second research Co-ordination meeting, Menai, March 27-31, 1995), Report NAHRES-26, IAEA, Vienna, 1995:4-1-41-9. [19] Okamato S, Kobayashi K, Yamada T.Characterization of Aerosols in the Kashima Area and a Source Apportionment Atudy, Sydney Clean Air Congress, 1986:253-262. http://www.sciencedirect.com/science/article/pii/095712729190047I [20] Freitas M D C, Reis M A, Alves L C, et al.Monitoring of Trace Element Air Pollution.Applied Research on Air Pollution Using Nuclear-related Analytical Techniques(Report on the second research Co-ordination meeting, Menai, March 27-31, 1995), Report NAHRES-26, IAEA, Vienna, 1995:14-1-14-12. [21] Harrison R M, Smith D J T, Pio C A, et al.Comparative receptor modeling study of airborne particulate pollutants in Birmingham(United Kingdom), Coimbra(Portugal), and Lahore(Pakistan).Atmos Environ, 1997, 31:3309-3321. doi: 10.1016/S1352-2310(97)00152-0 [22] Chow J C, Watson J G, Fujita E M, et al.Temporal and spatial variation of PM2.5 and PM10 aerosol in the southern California air quality study.Atmos Environ, 1994, 28:2061-2080. doi: 10.1016/1352-2310(94)90474-X [23] Wanna Chueinta, Philip K Hopke.Investigation of sources of atmospheric aerosol at urban and suburban residential areas in Thailand by positive matrix factorization.Atmos Environ, 2000, 34:3319-3329. doi: 10.1016/S1352-2310(99)00433-1 [24] 唐孝炎, 李金龙, 栗欣, 等.大气环境化学.北京:高等教育出版社, 1991:223-224. [25] 杨复沫, 贺克斌, 马永亮, 等.北京大气细粒子PM2.5的化学组成.清华大学学报(自然科学版), 2002, 42(12):1605-1608. http://www.cnki.com.cn/Article/CJFDTOTAL-QHXB200212012.htm [26] 余学春, 贺克斌, 马永亮, 等.北京市PM2.5水溶性有机物污染特征.中国环境科学, 2004, 24(1):53-57. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ200401014.htm [27] 杨东贞, 于海青, 丁国安, 等.北京北郊冬季低空大气气溶胶分析.应用气象学报, 2002, 13(特刊):110-125. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2002S1012.htm [28] 王明星.大气化学.北京:气象出版社.1999:211-214. [29] 朱先磊, 张远航, 曾立民, 等.北京市大气细颗粒物PM2.5的来源研究.环境科学研究, 2005, 18(5):3-5. http://www.cnki.com.cn/Article/CJFDTOTAL-HJKX200505000.htm [30] Eugene Kim, Philip K Hopke.Incorporation of parametric factors into multilinear receptor model studies of Atlanta aerosol.Atmos Environ, 2003, 37:5009-5021. doi: 10.1016/j.atmosenv.2003.08.035 [31] 于建华, 虞统, 魏强, 等.北京地区PM10和PM2.5质量浓度的变化特征.环境科学研究, 2004, 17(1):45-47. http://www.cnki.com.cn/Article/CJFDTOTAL-HJKX200401010.htm -
下载:
图(7) / 表(4)
计量
- 摘要浏览量: 13470
- HTML全文浏览量: 3105
- PDF下载量: 4404
- 被引次数: 0
