LIU Qin,YIN Hong-ling,DENG Liang,et al.The Pollution Characteristics of PM2.5 in Different Humidity Segment in Winter of Chengdu[J].Journal of Chengdu University of Information Technology,2017,(06):662-666.[doi:10.16836/j.cnki.jcuit.2017.06.015]
成都市大气PM2.5在冬季不同湿度条件下的污染特征
- Title:
- The Pollution Characteristics of PM2.5 in Different Humidity Segment in Winter of Chengdu
- 文章编号:
- 2096-1618(2017)06-0662-05
- Keywords:
- environmental science; environmental monitoring; fine particulate matter; pollution characteristic; humidity; water-soluble ion
- 分类号:
- X131.1
- 文献标志码:
- A
- 摘要:
- 为研究冬季城市大气细颗粒物(PM2.5)在不同湿度段的污染特征,选取相对湿度(RH)较高的成都市为研究区域,于2014年冬季划分RH<60%,60%<RH<80%和RH>80% 3个湿度段进行大气PM2.5采样。结果表明:采样期间PM2.5日均浓度范围为106.96～233.89 μg/m3,超标率100%。PM2.5浓度和RH相关系数r=0.473。PM2.5质量浓度、总离子浓度及二次离子浓度在RH>80%分别是RH<60%时的1.48倍、1.74倍和1.89倍,与成都市高湿静稳天气造成污染累积有关。主成分分析发现RH>80%时PM2.5的主要来源是燃煤燃油源,而RH<60%时,主要为机动车尾气和扬尘源等。
- Abstract:
- In order to study the pollution characteristics of fine particulate matter(PM2.5)in different humidity segments during winter, Chengdu City, with high relative humidity(RH), was selected as the study area and the PM2.5 samples were collected in winter, 2014. The division of RH<60%,60%<RH<80% and RH>80% represented three humidity segments for sampling. The results showed that the mass concentrations of PM2.5 were 106.96-233.89 μg/m3 and the standard exceeding ratio was 100% in sampling period. The correlation coefficient of concentration of PM2.5 with humidity was 0.473. The concentration of PM2.5, total ions and the second inorganic ions during RH>80% was1.48,1.74 and 1.89 times as much as that in RH<60%, which was relative with the static stability and higher moisture resulting pollution accumulation. The results of principal component analysis that showed the main sources of PM2.5 were coal and oil combustion emissions when RH>80%, whereas dust and motor vehicles emission were the main sources when RH<60%.
参考文献/References:
[1] 于兴娜,马佳,朱彬,等.南京北郊秋冬季相对湿度及气溶胶理化特性对大气能见度的影响[J].环境科学,2015,36(6):1919-1925.
[2] 戴永立,陶俊,林泽健,等.2006-2009年我国超大城市霾天气特征及影响因子分析[J].环境科学,2013,34(8):2925-2932.
[3] 潘小乐.相对湿度对气溶胶散射特性影响的观测研究[D].北京:中国气象科学研究院,2007.
[4] 刘新罡,张远航.基于观测的大气气溶胶散射吸湿增长因子模型研究——以2006 CARE Beijing加强观测为例[J].中围环境科学,2009,29(12):1243-1248.
[5] 苗红妍,温天雪,王丽,等.唐山大气颗粒物中水溶性无机盐的观测研究[J].环境科学,2013,34(4):1225-1231.
[6] 王宗爽,付晓,王占山,等.大气颗粒物吸湿性研究[J].环境科学研究,2013,26(4):341-349.
[7] 叶兴南,陈建民.灰霾与颗粒物吸湿增长[J].自然杂志,2013,35(5):337-341.
[8] 周敏,陈长虹,王红丽,等.上海秋季典型大气高污染过程中有机碳和元素碳的变化特征[J].环境科学学报,2013,33(1):181-188.
[9] 陈源,谢绍东,罗彬,等.成都市大气颗粒物组成和污染特征分析(2012-2013)[J].环境科学学报,2016,36(3):1021-1031.
[10] 马雁军,王江山,王扬锋,等.辽宁中部城市群可吸入颗粒物PM10和PM2.5的污染特征研究[J].气象与环境学,2008,24(5):11-15.
[11] 张鹏妍,黄金香,孙欢欢.区域PM2.5污染特征及影响因素研究[J].山西建筑,2014,40(3):211-212.
[12] 张智胜,陶俊,谢绍东,等.成都城区PM2.5季节污染特征及来源解析[J].环境科学学报,2013,33(11):2947-2952.
[13] 孔祥宇.成都市中心城区大气重金属污染特征分析与区域扩散预测[D].成都:成都理工大学,2010.
[14] 孟昭阳,张怀德,蒋晓明,等.太原地区冬春季PM2.5污染特征及影响因素[J].中国科学院研究生院学报,2007,24(5):648-656.
[15] 徐敬,丁国安,颜鹏,等.北京地区PM2.5的成分特征及来源分析[J].应用气象学报,2007,18(5):645-654.
[16] Malm W C.Cooperative institute for research in atmosphere[R].NPS visibility Program,Colorado State University,1999.
[17] 吴丹,曹双,汤莉莉,等.南京北郊大气颗粒物的粒径分布及其影响因素分析[J].环境科学,2016,37(9):3268-3279.
[18] Renard J J,Calidonna S E,Henley M V.Fate of ammonia in the atmosphere-a review for applicability to hazardous releases[J].Journal of Hazardous MaterialsB,2004,108:29-60.
[19] Fountoukis C,Nenes A.Isorropia II:a computationally efficient thermodynamic equilibrium model for K+- Ca2+- Mg2+- NH4+- Na+- SO42-- NO3-- Cl-- H2O aerosols[J].Atmospheric Chemistry and Physics,2007,7(17):4639-4659.
[20] 江琪,银燕,秦彦硕,等.黄山地区气溶胶吸湿增长特性数值模拟研究[J].气象科学,2013,33(3):237-245.
[21] Yang W,He H,Ma Q,et al.Synergistic formation of sulfate and ammonium resulting from reaction betweenSO2 and NH3 on typical mineral dust[J].Physical Chemistry Chemical Physics,2015,18(2):956-964.
[22] 唐孝炎,张远航,邵敏.大气环境化学[M].北京:高等教育出版社.2006.
[23] 张小曳.中国不同区域大气气溶胶化学成分浓度,成与来源特征[J].气象学报,2014,72(6):1108-1117.
[24] Seisel S,Rensen C B,Vogt R,et al.Kinetics and mechanism of the uptake of N2O5 on mineral dust at 298 K[J].Atmospheric Chemistry & Physics,2005,5(12):3423-3432.
[25] Buzarius G,Zelenyuk A,Brechtel F,et al.Simultaneous determination of individual ambient particle size,hygroscopic and composition[J].Geophysical Research Letters,2002,29(20):1029-1039.
[26] Bian H,Zender C S.Mineral dust and global tropospheric chemistry: Relative roles of photolysis and heterogeneous uptake[J].Journal of Geophysical Research Atmospheres,2003,108(4672):10-29.
[27] 林立,孔令东,陈建民.硝酸铵对SO2在大气颗粒物表面气-粒转化影响的模拟研究[J].高等学校化学学报,2010,31(4):751-755.
[28] 李友平,周洪,张智胜,等.成都市城区PM2.5中二次水溶性无机离子污染特征[J].环境科学,2014,35(12):4439-4445.
[29] Hamerl K,Laksonen A,Vakeva M,et al.Hygroscopic growth of ultrafine sodium chloride particles[J].Journalof Geophysical Research,2001,106:20749-20758.
[30] Wang H L,An J L,ChengM T,et al.One year online measurements of water-soluble ions at the industrially polluted town of Nanjing,China:sources,seasonal and diurnal variations[J].Chemosphere,2016,148:526-536.
[31] 刘庆阳,刘艳菊,赵强,等.2012年春季京津冀地区一次沙尘暴天气过程中颗粒物的污染特征分析[J].环境科学,2014,35(8):2843-2850.
相似文献/References:
[1]常美玉,向卫国.川西地区空气污染特征及气象影响因素分析[J].成都信息工程大学学报,2019,(01):92.[doi:10.16836/j.cnki.jcuit.2019.01.017]
CHANG Meiyu,XIANG Weiguo.Characteristics of Air Pollution in Western Sichuan andAnalysis of Meteorological Factors[J].Journal of Chengdu University of Information Technology,2019,(06):92.[doi:10.16836/j.cnki.jcuit.2019.01.017]
[2]冯晞雨,刘 伟,桓汉青,等.四川省能源消费二氧化碳排放及低碳能源发展研究[J].成都信息工程大学学报,2016,(增刊1):74.
[3]何 超,邹长武,王 皓.成都城区冬季一次灰霾期间PM1化学成分特征[J].成都信息工程大学学报,2017,(04):440.[doi:10.16836/j.cnki.jcuit.2017.04.015]
HE Chao,ZOU Chang-wu,WANG Hao.Study on Chemical Composition Characteristics of PM1 during
a Haze Period in Winter of Chengdu Urban Area[J].Journal of Chengdu University of Information Technology,2017,(06):440.[doi:10.16836/j.cnki.jcuit.2017.04.015]
[4]邓 旭,印红玲,雷 翔,等.草莓种植区土壤中典型有机氮化合物的分布及来源[J].成都信息工程大学学报,2019,(01):100.[doi:10.16836/j.cnki.jcuit.2019.01.018]
DENG Xu,YIN Hongling,LEI Xiang,et al.Distribution and Source of Typical Organic NitrogenCompounds in Soil of Strawberry Planting Area[J].Journal of Chengdu University of Information Technology,2019,(06):100.[doi:10.16836/j.cnki.jcuit.2019.01.018]
备注/Memo
收稿日期:2017-03-09 基金项目:四川省教育厅基金资助项目(重点)(13Z197); 国家自然科学基金资助项目(21407014); 四川省科技支撑计划基金资助项目(2015GZ0240)