引用本文:孙银川,严晓瑜,缑晓辉,等.中国典型城市O3与前体物变化特征及相关性研究[J].环境科学研究,2020,(1):44-53.
SUN Yinchuan,YAN Xiaoyu,GOU Xiaohui,et al.Characteristics and Correlation of Ozone and Its Precursors in Typical Cities in China[J].Research of Environmental Sciences,2020,(1):44-53.]
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中国典型城市O3与前体物变化特征及相关性研究
孙银川1,3, 严晓瑜1,2, 缑晓辉4, 刘垚4, 王兴5, 左河疆3, 刘玉兰1,2
1. 中国气象局, 旱区特色农业气象灾害监测预警与风险管理重点实验室, 宁夏 银川 750000;2. 宁夏气象防灾减灾重点实验室, 宁夏 银川 750000;3. 宁夏气候中心, 宁夏 银川 750000;4. 宁夏气象服务中心, 宁夏 银川 750002;5. 西北区域气候中心, 甘肃 兰州 730020
摘要:
为了解我国不同气候背景城市O3污染及其与前体物的关系,选取北京市、沈阳市、银川市、成都市、南京市和广州市作为典型代表城市,基于这6个城市2014-2016年ρ(O3)、ρ(NO2)和ρ(CO)资料对O3与其前体物质量浓度变化特征及二者相关性进行研究.结果表明:①2014-2016年6个城市ρ(O3)年均值大小顺序依次为南京市 > 沈阳市 > 北京市 > 银川市 > 成都市 > 广州市,ρ(NO2)年均值大小顺序依次为北京市 > 成都市 > 南京市 > 沈阳市 > 广州市 > 银川市,ρ(CO)年均值大小顺序依次为北京市 > 银川市 > 成都市 > 沈阳市 > 南京市 > 广州市.2014-2016年除广州市ρ(O3)下降、沈阳市变化不明显外,其他城市ρ(O3)总体呈上升趋势;各城市ρ(NO2)和ρ(CO)普遍呈下降趋势.②广州市ρ(O3)夏季最高、春季最低,其他城市四季ρ(O3)大小顺序依次为夏季 > 春季 > 秋季 > 冬季;北京市、沈阳市和银川市四季ρ(NO2)和ρ(CO)大小顺序依次为冬季 > 秋季 > 春季 > 夏季,成都市、广州市和南京市为冬季 > 春季 > 秋季 > 夏季.各城市ρ(O3)和ρ(Ox)日变化呈单峰型,ρ(NO2)和ρ(CO)日变化呈双峰型.③6个城市城区ρ(O3)均低于清洁对照点,城区ρ(NO2)和ρ(CO)均高于清洁对照点,并且城区与清洁对照点O3及其前体物质量浓度差值随城市和月份变化存在一定的差异.④各城市ρ(O3)与ρ(NO2)和ρ(CO)均呈负相关,与ρ(Ox)呈显著正相关;城区ρ(O3)与ρ(NO2)和ρ(CO)的相关性均好于清洁对照点,清洁对照点ρ(O3)与ρ(Ox)的相关性则好于城区.⑤各城市ρ(O3)超标率随ρ(NO2)和ρ(CO)的增加均呈先迅速上升再快速减小,之后缓慢变化的特征,但ρ(O3)超标率峰值对应的ρ(NO2)和ρ(CO)有所差异.研究显示,日照条件较好的银川市、北京市和沈阳市O3与其前体物相关性较成都市、南京市和广州市强.
关键词:  O3  前体物  相关性  典型城市
DOI:10.13198/j.issn.1001-6929.2019.08.08
分类号:X16
基金项目:国家自然科学基金项目(No.41765006);宁夏回族自治区重点研发计划(No.2019BFG02025,2018BEG03066)
Characteristics and Correlation of Ozone and Its Precursors in Typical Cities in China
SUN Yinchuan1,3, YAN Xiaoyu1,2, GOU Xiaohui4, LIU Yao4, WANG Xing5, ZUO Hejiang3, LIU Yulan1,2
1. Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA, Yinchuan 750000, China;2. Ningxia Key Lab of Meteorological Disaster Prevention and Reduction, Yinchuan 750000, China;3. Ningxia Climate Center, Yinchuan 750000, China;4. Ningxia Meteorological Service Center, Yinchuan 750002, China;5. Northwest Regional Climate Center, Lanzhou 730020, China
Abstract:
In order to understand the O3 pollution and its relationship with precursors in different climate background cities in China, the representative cities of Beijing, Shenyang, Yinchuan, Chengdu, Nanjing and Guangzhou were selected, and based on the concentrations of ozone and its precursors observed in these six cities from 2014 to 2016, the characteristics and its relationship with precursors in typical cities were analyzed. The results showed that the order of annual average O3 concentration from high to low was Nanjing City, Shenyang City, Beijing, Yinchuan City, Chengdu City and Guangzhou City, while the order of NO2 was Beijing, Chengdu City, Nanjing City, Shenyang City, Guangzhou City and Yinchuan City, and CO was in the order of Beijing, Yinchuan City, Chengdu City, Shenyang City, Nanjing City and Guangzhou City. In these three years, except for the decrease of O3 concentration in Guangzhou City and there was no significant O3 change in Shenyang City. The ozone concentrations in other cities were generally increasing, while the NO2 and CO in all cities were generally decreasing. The O3 concentration in Guangzhou City was the highest in summer and the lowest in spring, but the other cities were the highest in summer, and the lowest in winter. NO2 and CO concentrations from high to low in Beijing, Shenyang City and Yinchuan City were winter, autumn, spring and summer, while those in Chengdu City, Guangzhou City and Nanjing City were winter, spring, autumn and summer. The daily variation of O3 and Ox in all cities showed a single peak pattern, while NO2 and CO exhibited a double peak pattern. In all typical cities, the concentration of O3 in urban areas was lower than that in clean control point, while the concentration of NO2 and CO in urban areas was higher than that in clean control point. The difference of O3 concentration and its precursor concentration between urban area and clean control point varied with the city and time. O3 was negatively correlated with NO2 and CO in all cities, while positively correlated with Ox. The correlation between O3 and CO and NO2 in urban area was better than that in clean control points for all cities, while the correlation between O3 and Ox in clean control points was better than that in urban areas. The over-standard rate of ozone in all cities generally increased rapidly first, then decreased rapidly, and then changed slowly with the increase of NO2 and CO concentrations. However, the NO2 and CO concentrations corresponding to the peak of ozone over-standard were different for different cities. The studies showed that the correlation between O3 and its precursors was stronger in Yinchuan City, Beijing and Shenyang City with better sunshine conditions than in Chengdu City, Nanjing City and Guangzhou City.
Key words:  ozone  precursors  correlation  typical cities