POLLUTION CHARACTERISTICS OF PM2.5 AND O3 IN THE PEARL RIVER DELTA AND THE SENSITIVITY ANALYSIS OF VOCs COMPONENTS
-
摘要: 系统分析了珠三角城市群PM2.5、O3和挥发性有机物(VOCs)的污染特征,并筛选出对二次有机气溶胶(SOA)和O3影响较大的敏感性组分。结果显示:珠三角城市群PM2.5和O3浓度的季节变化具有明显差异,PM2.5和O3分别在1月和10月出现浓度最高值。珠三角城市群VOCs主要以烷烃为主,占比为64.2%,其次为芳香烃和烯烃,含量较高的组分为丁烷、异戊烷、异丁烷和环己烷。SOA生成潜势贡献主要以芳香烃为主,占比为78.5%,其中甲苯、间,对-二甲苯和乙苯的SOA生成潜势最大。O3生成潜势主要以烯烃为主,占比为42.3%,其次为芳香烃(34.2%)和烷烃(23.5%),其中丙烯、异戊二烯和1-丁烯的O3生成潜势最大。为有效缓解珠三角城市群PM2.5和O3污染,建议优先对机动车尾气、溶剂挥发、涂料使用和石化行业的VOCs敏感组分进行控制。Abstract: The pollution characteristics of PM2.5, O3, and volatile organic compound (VOCs) were analyzed in the Pearl River Delta, China. The sensitive components with greater influence on the formation of secondary organic aerosol (SOA) and O3 were also screened. The results indicated that there was obvious difference in seasonal variation of PM2.5 and O3 concentrations in the Pearl River Delta. The concentrations were the highest in January and October for PM2.5 and O3, respectively. The VOCs was dominated with alkane, accounting for 64.2% of the total VOCs mass content, followed by aromatics and alkene. The components with the highest content were butane, isopentane, isobutane and cyclohexane. The SOA generation potential was mainly contributed by aromatics, accounting for 78.5% of the total generation potential. The components with the highest SOA generation potential were toluene, m, p-xylene and ethylbenzene. The O3 generation potential was mainly contributed by alkene, accounting for 42.3% of the total generation potential, followed by aromatics (34.2%) and alkane (23.5%). The components with higher O3 generation potential were propylene, isopentadiene and 1-butene. It was suggested that priority control should be given to the sensitive components of VOCs emitted from vehicle exhaust, solvent volatilization, paint usage, and petrochemical industry to alleviate the PM2.5 and O3 pollution effectively in the Pearl River Delta.
-
Key words:
- PM2.5 /
- O3 /
- volatile organic compound /
- secondary organic aerosol /
- ozone generation potential
-
鲁晓晗, 王丽涛, 马笑, 等. 邯郸市VOCs变化特征及O3和SOA生成潜势[J]. 环境科学与技术, 2019, 42(3):30-37. 洪沁, 常宏宏. 家具涂装行业VOCs污染特征分析[J]. 环境工程, 2017, 35(5):82-86. 周炎, 岳玎利, 张涛. 春季广州城区空气中VOCs来源解析[J]. 环境监控与预警, 2017, 9(1):42-47. 蒋美青, 陆克定, 苏榕, 等. 我国典型城市群O3污染成因和关键VOCs活性解析[J]. 科学通报, 2018, 63(12):1130-1141. 陈金胜, 伯鑫, 徐君妃, 等. 我国环境影响评价VOCs模拟研究进展[J]. 环境工程, 2018, 36(3):143-147. 李琦, 桂丽, 刘明, 等. 西安人为源VOCs排放特征及其对O3和SOA生成潜势的影响[J]. 环境科学研究, 2019, 32(2):77-86. 郭文凯, 刘镇, 刘文博, 等. 兰州生物质燃烧VOCs排放特征及其大气环境影响[J]. 中国环境科学, 2019, 39(1):42-51. 唐斌雁. 京津冀地区近地层臭氧和颗粒物污染相互影响研究[D]. 成都:成都信息工程大学, 2018. 王伯光, 张远航, 邵敏. 珠江三角洲大气环境VOCs的时空分布特征[J]. 环境科学, 2004, 25(增刊1):9-17. 段时光, 姜楠, 杨留明, 等. 郑州市冬季大气PM2.5传输路径和潜在源分析[J]. 环境科学, 2019, 40(1):88-95. 李宏姣, 梁桂云, 陈志明, 等. 2015年10月南宁市区典型大气污染过程成因分析[J]. 环境监测管理与技术, 2019, 31(1):42-46. 胡敏, 刘尚, 吴志军, 等. 北京夏季高温高湿和降水过程对大气颗粒物谱分布的影响[J]. 环境科学, 2006, 27(11):2293-2298. 王宇骏, 黄新雨, 裴成磊, 等. 广州市近地面臭氧时空变化及其生成对前体物的敏感性初步分析[J]. 安全与环境工程, 2016, 23(3):83-88. 贾海鹰, 李矛, 程兵芬, 等. 长沙市城区臭氧浓度特征研究[J]. 环境科学与技术, 2017, 40(2):168-173. SUN Y, WANG Z F, FU P Q, et al. The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China[J]. Atmospheric Environment, 2013, 77:927-934. FENG J L, HU J C, XU B H, et al. Characteristics and seasonal variation of organic matter in PM2.5 at a regional background site of the Yangtze River Delta region, China[J]. Atmospheric Environment, 2015, 123:288-297. XIE Y Z, LIU Z R, WEN T X, et al. Characteristics of chemical composition and seasonal variations of PM2.5 in Shijiazhuang, China: impact of primary emissions and secondary formation[J]. Science of the Total Environment, 2019, 677:215-229. 中华人民共和国生态环境部. 2018中国生态环境状况公报[EB/OL].[2019-05-29]. http://www.mee.gov.cn/hjzl/zghjzkgb/lnzghjzkgb/. 杨兴川, 赵文吉, 熊秋林, 等. 2016年京津冀地区PM2.5时空分布特征及其与气象因素的关系[J]. 生态环境学报, 2017, 26(10):1747-1754. 张嘉祯. 长三角城市群PM2.5、PM10时空特征分析及空气质量评价[D]. 上海:上海师范大学, 2018. ZHAO P S, DONG F, HE D, et al. Characteristics of concentrations and chemical compositions for PM2.5 in the region of Beijing, Tianjin, and Hebei, China[J]. Atmospheric Chemistry and Physics, 2013, 13(9):4631-4644. 戴昭鑫, 张云芝, 胡云锋, 等. 基于地面监测数据的2013—2015年长三角地区PM2.5时空特征[J]. 长江流域资源与环境, 2016, 25(5):813-821. 宓科娜, 庄汝龙, 梁龙武. 等. 长三角PM2.5时空格局演变与特征:基于2013—2016年实时监测数据[J]. 地理研究, 2018, 37(8):169-182. 曹庭伟, 吴锴, 康平, 等. 成渝城市群臭氧污染特征及影响因素分析[J]. 环境科学学报, 2018, 38(4):1275-1284. 易睿, 王亚林, 张殷俊, 等. 长江三角洲地区城市臭氧污染特征与影响因素分析[J]. 环境科学学报, 2015, 35(8):2370-2377. 邹宇, 王凤, 邓雪娇, 等. 广州地区一次典型光化学污染过程的监测[J]. 环境化学, 2018, 37(2):353-362. 邹宇, 邓雪娇, 王伯光, 等. 广州番禺大气成分站挥发性有机物的污染特征[J]. 中国环境科学, 2013, 33(5):808-813. 虞小芳, 程鹏, 古颖纲, 等. 广州市夏季VOCs对臭氧及SOA生成潜势的研究[J]. 中国环境科学, 2018, 38(3):830-837. 罗玮, 王伯光, 刘舒乐, 等. 广州大气挥发性有机物的臭氧生成潜势及来源研究[J]. 环境科学与技术, 2011, 34(5):80-86. 邵平, 辛金元, 安俊琳, 等. 长三角工业区夏季近地层臭氧和颗粒物污染相互关系研究[J]. 大气科学, 2017, 41(3):618-628. 吕子峰, 郝吉明, 段菁春, 等. 北京市夏季二次有机气溶胶生成潜势的估算[J]. 环境科学, 2009, 30(4):969-975. GROSJEAN D. In situ organic aerosol formation during a smog episode: estimated production and chemical functionality [J]. Atmospheric Environment. Part A. General Topics, 1992, 26(6):953-963. GROSJEAN D, SEINFELD J H. Parameterization of the formation potential of secondary organic aerosols[J]. Atmospheric Environment, 1989, 23(8):1733-1747. 崔虎雄. 上海市春季臭氧和二次有机气溶胶生成潜势的估算[J]. 环境科学, 2013, 34(12):4529-4534. 王倩, 王红丽, 周来东, 等. 成都市夏季大气挥发性有机物污染及其对二次有机气溶胶生成的贡献[J]. 环境污染与防治, 2015, 37(7):6-12. 徐永福, 贾龙. 实验室模拟研究大气二次有机气溶胶的形成[J]. 大气科学, 2018, 42(4):767-785. 吴方堃, 王跃思, 安俊琳, 等. 北京奥运时段VOCs浓度变化、臭氧产生潜势及来源分析研究[J]. 环境科学, 2010, 31(1):10-16. 丁洁然, 景长勇. 唐山夏季大气VOCs污染特征及臭氧生成潜势[J]. 环境工程, 2016, 34(6):130-135. CARTER W P L. Development of the SAPRC-07 chemical mechanism and updated ozone reactivity scales[D]. California: University of Califormia, 2007.
点击查看大图
计量
- 文章访问数: 262
- HTML全文浏览量: 10
- PDF下载量: 39
- 被引次数: 0