2013—2016年珠海地区臭氧浓度特征及其与气象因素的关系
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摘要
利用珠海地区两个代表性环境空气质量国控站(吉大站、斗门站)2013—2016年连续4年的逐时臭氧(O_3)浓度监测资料和离两个国控站最近的基本气象站(珠海气象站、斗门气象站)同期逐时气象资料,综合应用统计分析、个例剖析、HYSPLIT后向轨迹聚类分析和潜在源贡献因子分析(PSCF)方法,研究了珠海地区臭氧浓度特征及其与气象因素的关系.结果表明:①干季珠海市O_3浓度最高且超标天数最多,高温低湿条件有利于O_3的形成;②位于内陆的斗门站O_3污染浓度、污染频率明显高于位于沿海的吉大站;③风场对珠海地区O_3浓度分布有重要影响,东北风或偏北风风速为3～4 m·s~(-1)时下风向珠海地区O_3浓度最高;④10月O_3重污染个例剖析表明,区域输送对珠海地区O_3污染有重要影响.HYSPLIT后向轨迹聚类分析表明,影响珠海地区O_3污染的气团来源中受广东中东部气流影响时污染最重,与潜在源贡献因子分析(PSCF)表明的该污染个例的污染潜在源区主要为广东中东部的东莞、广州增城、河源及以北地区的结论一致.
Based on the hourly ozone(O_3) concentrations and meteorological variables observed at a coastal location(Jida) and an inland location(Doumen), this study investigated the O_3 pollution characteristics and their relationships with meteorological factors in Zhuhai via an integrated application of statistical analysis, case analysis, HYSPLIT back trajectory analysis and potential source contribution factor analysis(PSCF) method. The results indicated that ①the high temperature and low humidity conditions in dry season are favorable for the O_3 formation, causing a higher O_3 concentration and pollution frequency in Zhuhai; ②the O_3 concentration and pollution frequency are significantly higher at the inland site of Doumen; ③wind field exerts important influence on the O_3 distribution in Zhuhai while the highest O_3 concentrations usually occur in the downward area when northeast wind or northerly wind prevailed with a wind speed of 3 ～ 4 m·s~(-1); ④the analysis of O_3 heavy pollution case in October shows that the regional transport has large contribution to O_3 pollution in Zhuhai. Clustering analysis of HYSPLIT back trajectories shows that the air mass source affecting the O_3 pollution in Zhuhai region is the most polluted when it is affected by the air flow from the middle and eastern part of Guangdong Province, which is consistent with the results of the analysis of potential source contribution factor analysis(PSCF) that the potential sources of this pollution are distributed in the central-eastern Guangdong(e.g., Donguan, Zengcheng and Heyuan) and areas in the north of Heyuan.
Based on the hourly ozone(O_3) concentrations and meteorological variables observed at a coastal location(Jida) and an inland location(Doumen), this study investigated the O_3 pollution characteristics and their relationships with meteorological factors in Zhuhai via an integrated application of statistical analysis, case analysis, HYSPLIT back trajectory analysis and potential source contribution factor analysis(PSCF) method. The results indicated that ①the high temperature and low humidity conditions in dry season are favorable for the O_3 formation, causing a higher O_3 concentration and pollution frequency in Zhuhai; ②the O_3 concentration and pollution frequency are significantly higher at the inland site of Doumen; ③wind field exerts important influence on the O_3 distribution in Zhuhai while the highest O_3 concentrations usually occur in the downward area when northeast wind or northerly wind prevailed with a wind speed of 3 ～ 4 m·s~(-1); ④the analysis of O_3 heavy pollution case in October shows that the regional transport has large contribution to O_3 pollution in Zhuhai. Clustering analysis of HYSPLIT back trajectories shows that the air mass source affecting the O_3 pollution in Zhuhai region is the most polluted when it is affected by the air flow from the middle and eastern part of Guangdong Province, which is consistent with the results of the analysis of potential source contribution factor analysis(PSCF) that the potential sources of this pollution are distributed in the central-eastern Guangdong(e.g., Donguan, Zengcheng and Heyuan) and areas in the north of Heyuan.
引文
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郭倩,汪嘉杨,周子航,等.2018.成都市一次典型重污染过程特征及成因分子[J].环境科学学报,38(2):629-639
洪盛茂,焦荔,何曦,等.2009.杭州市区大气臭氧浓度变化及气象要素影响[J].应用气象学报,20(5):602-609
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黄俊,廖碧婷,吴兑,等.2018.广州近地面臭氧浓度特征及气象影响分析[J].环境科学学报,38(1):23-31
黄燕玲,陈慧娴.2017.佛山市臭氧浓度时间变化特征及主要影响因子[J].环境监控与预警,9(1):54-58
李霄阳,李思杰,刘鹏飞,等.2017.2016年中国城市臭氧浓度的时空变化规律[J].环境科学学报,38(4):1263-1274
Liu S C,Trainer M,Fehsenfeld F C,et al.1987.Ozone production in the rural troposphere and the implications for regional and global ozone distributions[J].Journal of Geophysical Research Atmospheres,92:4191-4207
梁碧玲,张丽,赖鑫,等.2017.深圳市臭氧污染特征及其与气象条件的关系[J].气象与环境学报,33(1):66-71
廖志恒,孙家仁,范绍佳,等.2015.2006—2012年珠三角地区空气污染变化特征及影响因素[J].中国环境科学,35(2):329-336
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柳燕.1998.大气臭氧层、紫外辐射与人类健康[J].地球物理学进展,13(3):103-110
陆克定,张远航,苏杭等.2010.珠江三角洲夏季臭氧区域污染及其控制因素分析[J].中国科学:化学,40(4):407-420
齐冰,牛彧文,杜荣光,等.2017.杭州市近地面大气臭氧浓度变化特征分析[J].中国环境科学,37(2):443-451
沈劲,黄晓波,汪宇,等.2017.广东省臭氧污染特征及其来源解析研究[J].环境科学学报,37(12):4449-4457
唐贵谦,李昕,王效科,等.2010.天气型对北京地区近地面臭氧的影响[J].环境科学,31(3):573-578
唐毅,陈治翰,罗治华,等.2016.后向轨迹模式在攀枝花市PM2.5来源分析研究中的应用[J].四川气象,35(4):83-89
田鹏山,褚艳玲,吴锋,等.2017.深圳市东北部PM2.5的变化特征及潜在传输来源[J].广东气象,39(3):65-68
吴兑.2000.到达地面的紫外辐射强度预报[J].气象,26(12):38-42
Wang Y Q,Zhang X Y,Draxler R R.2009.TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from longterm air pollution measurement data[J].Environmental Modelling & Software,24(8):938-939
叶芳,安俊琳,王跃思,等.2008.北京近地层 O3、NOx、CO 及相关气象因子的分析[J].生态环境,17(4):1425-1432
易睿,王亚林,张殷俊,等.2015.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,35(8):2370-2377
张浩月,王雪松,陆克定,等.2014.珠江三角洲秋季典型气象条件对 O3和PM10污染的影响[J].北京大学学报(自然科学版),50(3):565-576
An J L,Shi Y Z,Wang J X,et al.2016. Temporal variations of O3 and NOx in the urban background atmosphere of Nanjing,East China[J].Archives of Environmental Contamination and Toxicology,71: 224
安俊琳,王跃思,孙扬.2009.气象因素对北京臭氧的影响[J].生态环境学报,18(3):944-951
陈莉,高云峰,忽建永,等.2017.东亚季风及台风过程与臭氧含量变化的关系分析[J].高原山地气象研究所,37(1):66-72
陈仁杰,陈秉衡,阚海东.2010.上海市近地面臭氧污染的健康影响评价[J].中国环境科学,30(5):603-608
程麟钧,王帅,宫正宇,等.2017.中国臭氧浓度的时空变化特征及分区[J].中国环境科学,37(11):4003-4012
程念亮,李云婷,张大伟,等.2016.2014年北京市城区臭氧超标日浓度特征及与气象条件的关系[J].环境科学,37(6):2041-2051
邓雪娇,周秀骥,吴兑,等.2011.珠江三角洲大气气溶胶对地面臭氧变化的影响[J].中国科学:地球科学,41(1):93-102
郭倩,汪嘉杨,周子航,等.2018.成都市一次典型重污染过程特征及成因分子[J].环境科学学报,38(2):629-639
洪盛茂,焦荔,何曦,等.2009.杭州市区大气臭氧浓度变化及气象要素影响[J].应用气象学报,20(5):602-609
环境保护部,国家质量监督检验检疫总局.环境空气质量标准(GB 3095-2012)[S].北京:中国环境科学出版社
黄俊,廖碧婷,吴兑,等.2018.广州近地面臭氧浓度特征及气象影响分析[J].环境科学学报,38(1):23-31
黄燕玲,陈慧娴.2017.佛山市臭氧浓度时间变化特征及主要影响因子[J].环境监控与预警,9(1):54-58
李霄阳,李思杰,刘鹏飞,等.2017.2016年中国城市臭氧浓度的时空变化规律[J].环境科学学报,38(4):1263-1274
Liu S C,Trainer M,Fehsenfeld F C,et al.1987.Ozone production in the rural troposphere and the implications for regional and global ozone distributions[J].Journal of Geophysical Research Atmospheres,92:4191-4207
梁碧玲,张丽,赖鑫,等.2017.深圳市臭氧污染特征及其与气象条件的关系[J].气象与环境学报,33(1):66-71
廖志恒,孙家仁,范绍佳,等.2015.2006—2012年珠三角地区空气污染变化特征及影响因素[J].中国环境科学,35(2):329-336
刘建,吴兑,范绍佳,等.2017.前体物与气象因子对珠江三角洲臭氧污染的影响[J].中国环境科学,37(3):813-820
柳燕.1998.大气臭氧层、紫外辐射与人类健康[J].地球物理学进展,13(3):103-110
陆克定,张远航,苏杭等.2010.珠江三角洲夏季臭氧区域污染及其控制因素分析[J].中国科学:化学,40(4):407-420
齐冰,牛彧文,杜荣光,等.2017.杭州市近地面大气臭氧浓度变化特征分析[J].中国环境科学,37(2):443-451
沈劲,黄晓波,汪宇,等.2017.广东省臭氧污染特征及其来源解析研究[J].环境科学学报,37(12):4449-4457
唐贵谦,李昕,王效科,等.2010.天气型对北京地区近地面臭氧的影响[J].环境科学,31(3):573-578
唐毅,陈治翰,罗治华,等.2016.后向轨迹模式在攀枝花市PM2.5来源分析研究中的应用[J].四川气象,35(4):83-89
田鹏山,褚艳玲,吴锋,等.2017.深圳市东北部PM2.5的变化特征及潜在传输来源[J].广东气象,39(3):65-68
吴兑.2000.到达地面的紫外辐射强度预报[J].气象,26(12):38-42
Wang Y Q,Zhang X Y,Draxler R R.2009.TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from longterm air pollution measurement data[J].Environmental Modelling & Software,24(8):938-939
叶芳,安俊琳,王跃思,等.2008.北京近地层 O3、NOx、CO 及相关气象因子的分析[J].生态环境,17(4):1425-1432
易睿,王亚林,张殷俊,等.2015.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,35(8):2370-2377
张浩月,王雪松,陆克定,等.2014.珠江三角洲秋季典型气象条件对 O3和PM10污染的影响[J].北京大学学报(自然科学版),50(3):565-576
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