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我国典型南方城市臭氧污染特征
引用本文:赵熠琳,原彩红,刘峥,王帅,丁俊男.我国典型南方城市臭氧污染特征[J].中国环境监测,2017,33(4):194-200.
作者姓名:赵熠琳  原彩红  刘峥  王帅  丁俊男
作者单位:中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境科学研究院, 北京 100012,柏力行印刷有限责任公司, 北京 102600,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012
基金项目:科技部2015年度环境保护公益性行业科研专项"多度尺度空气质量预报对接技术与业务示范研究"(201509014)
摘    要:分析了我国典型南方城市的臭氧污染特征,选取我国4个有代表性的南方重点城市武汉、宁波、中山和南宁的2013—2015年监测数据,使用EXCEL、ORIGIN和MATLAB等统计软件开展研究,结果表明:我国南方典型城市的臭氧质量浓度分布有明显时间变化特征,超标时间跨度大,部分南方城市与氮氧化物存在较明显负相关性,相关系数高于-0.6;受城市所在不同地理位置、气象因素、大气扩散条件及可能的不同本地排放污染源构成等因素影响,4个城市的近3年臭氧浓度月均值、超标情况和年内峰值均存在一定差异和分组相似性;与部分气象因素也表现出显著相关性。

关 键 词:臭氧  时空分布  特征  气象因素  南方城市
收稿时间:2017/4/22 0:00:00
修稿时间:2017/5/5 0:00:00

Analysis on the Characteristics of Ozone Pollution in Typical Cities of Southern China
ZHAO Yilin,YUAN Caihong,LIU Zheng,WANG Shuai and DING Junnan.Analysis on the Characteristics of Ozone Pollution in Typical Cities of Southern China[J].Environmental Monitoring in China,2017,33(4):194-200.
Authors:ZHAO Yilin  YUAN Caihong  LIU Zheng  WANG Shuai and DING Junnan
Institution:State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,Chinese Research Academy of Environmental Sciences, Beijing 100012, China,Bo Lixing Print Limited Liability Company, Beijing 102600, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China and State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China
Abstract:This paper intend to explore the characteristics of ozone pollution in typical southern cities of China, including temporal and spatial variation, influencing factors, ozone exceed status and regulatory rules of concentration variation. 4 representative cities from southern China were selected, which are Wuhan, Ningbo, Zhongshan and Nanning, the monitoring data from 2013 to 2015 was used to carry out research on the use of EXCEL, ORIGIN and MATLAB statistical software. The results showed that the ozone concentrations distribution of study cities have obvious time variation, pollution covers a long time span, and some southern cities'' ozone have obvious negative correlation with NO2, the correlation coefficient is higher than -0.6; due to the 4 cities have different geographical location, weather, local emission source of pollution and other factors, in the past 3 years, there were some differences and similarities in the monthly concentration, the exceeding standard and the annual maximum month; and some meteorological factors also showed significant correlation.
Keywords:ozone  spatiotemporal distribution  characteristics  meteorological factor  southern city
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