2014-2017年成都市大气污染特征分析
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摘要
利用2014年5月～2017年12月的成都市环境空气质量监测资料,分析了成都市空气污染情况及污染物浓度时空变化特征。结果表明:成都市空气质量以优良天气为主,市区的首要污染物以PM_(2.5)为主,郊区以O_3为主;灵岩寺监测点的PM_(2.5),PM_(10),NO_2和CO四种污染物的质量浓度低于成都市区各监测点,O_3的质量浓度高于成都市区各监测点,SO_2的质量浓度值与成都市区各监测点相差不大;成都市各监测站点六种污染物质量浓度具有明显的年际变化、季节变化、月变化和日变化趋势,且成都市区各监测点的变化趋势比较一致。
Based on environmental air-quality monitoring data from May 2014 to December 2017, the spatial and temporal variation characteristics of air pollution were analyzed in Chengdu. The results showed that the air quality of Chengdu was dominant by good days, and the primary pollutant was PM_(2.5) in urban area and O_3 in rural area. The rural concentrations of PM_(2.5), PM_(10), NO_2 and CO at Lingyansi atmospheric background monitoring station were lower than that from urban. The concentration of O_3 from rural was higher than that from urban. The concentrations of SO_(2 )were similar in urban and rural areas. The concentrations of six pollutants in each monitoring station in Chengdu had obvious interannual, seasonal, monthly and diurnal variation trends, and the variation trends in each monitoring station in Chengdu urban area was comparatively consistent.
Based on environmental air-quality monitoring data from May 2014 to December 2017, the spatial and temporal variation characteristics of air pollution were analyzed in Chengdu. The results showed that the air quality of Chengdu was dominant by good days, and the primary pollutant was PM_(2.5) in urban area and O_3 in rural area. The rural concentrations of PM_(2.5), PM_(10), NO_2 and CO at Lingyansi atmospheric background monitoring station were lower than that from urban. The concentration of O_3 from rural was higher than that from urban. The concentrations of SO_(2 )were similar in urban and rural areas. The concentrations of six pollutants in each monitoring station in Chengdu had obvious interannual, seasonal, monthly and diurnal variation trends, and the variation trends in each monitoring station in Chengdu urban area was comparatively consistent.
引文
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[2] YANG Yongjie,ZHOU Rui,WU Jianjun,et al.Seasonal variations and size distributions of water-soluble ions in atmospheric aerosols in Beijing,2012[J].Journal of Environmental Sciences,2015,34:197-205
[3] Yang L X,Wang D C,Cheng S H,et al.Influence of meteorological conditions and particulate matter on visual range impairment in Jinan,China[J].Science of the Total Environment,2007,383(1/2/3):164-173
[4] 姚青,蔡子颖,韩素芹,等.天津冬季(雾)霾天气下颗粒物质量浓度分布与光学特性[J].环境科学研究,2014,27(5):462-469
[5] 李兰,魏红明,魏静,等.武汉市PM10污染日变化及其高污染时段特征[J].环境科学与技术,2007,30(1):39-41
[6] 马雁军,崔劲松,刘晓梅,等.1987-2002年辽宁中部城市群大气污染物变化特征分析[J].高原气象,2005,24(3):428-435
[7] 刘洁,张小玲,徐晓峰,等.北京地区SO2、NOx、O3和PM2.5变化特征的城郊对比分析[J].环境科学,2008,29(4):1059-1065
[8] 黄伟,余家燕,刘萍,等.重庆市城区臭氧监测状况及现状简析[J].三峡环境与生态,2010,3(2):8-9
[9] 房春生,温卓,杨楠,等.长春市大气中SO2与NO2长期污染特征及防治对策分析[J].科学技术与工程,2015,15(10):243-246
[10] 李菲,谭浩波,邓雪娇,等.2006-2010年珠三角地区SO2特征分析[J].环境科学,2015,36(5):1530-1537
[11] 贾海鹰,孟凡,柴发合,等.2013年北京市臭氧时空分布及预报[J].环境工程学报,2016,10(4):1900-1906
[12] 张娟,刘志红,段伯隆,等.2014年成都市大气污染特征及气象因子分析[J].四川环境,2016,35(6):79-88
[13] 林瑜,叶芝祥,杨怀金,等.成都市中心城区春季大气颗粒物PM2.5的污染特征研究[J].环境工程,2016,34(4):91-94
[14] 周雪玲,梁家权.佛山市近地面臭氧污染特征及相关气象因子分析[J].环境监控与预警,2016,8(2):39-44
[15] Tao J,Zhang L M,Engling G,et al.Chemical composition of PM2.5 in an urban environment in Chengdu,China:Importance of springtime dust storms and biomass burning[J].Atmospheric Research,2013a,122:270-283
[16] Tao J,Cheng T T,Zhang R J,et al.Chemical composition of PM2.5at an urban site of Chengdu in southwestern China [J].Advances in Atmospheric Sciences,2013b,30(4):1070-1084
[17] 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
[18] 孙冉,王成都,刘国东.2014年成都市PM2.5污染及其与气象要素的关系[J].环境工程,2015,33(S1):472-475
[19] 林瑜,叶芝祥,杨怀金,等.成都市西南郊区春季大气PM2.5的污染水平及来源解析[J].环境科学,2016,37(5):1629-1638
[20] 孙欢欢,倪长健,崔蕾,等.成都市大气颗粒物污染特征及与气象因子的关联性分析[J].环境污染与防治,2016,38(5):55-60