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2015—2016年中国城市臭氧浓度时空变化规律研究
引用本文:吴锴,康平,于雷,古珊,文小航,王占山,陈雨姿,陈诗颖,赵世奇,王浩霖,王式功.2015—2016年中国城市臭氧浓度时空变化规律研究[J].环境科学学报,2018,38(6):2179-2190.
作者姓名:吴锴  康平  于雷  古珊  文小航  王占山  陈雨姿  陈诗颖  赵世奇  王浩霖  王式功
作者单位:成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,保定市气象局, 保定 071000,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,北京市环境保护监测中心, 北京 100048,南京信息工程大学大气科学学院, 南京 210044,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225,成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
基金项目:国家自然科学基金重大研究计划(No.91644226,91537214);国家自然科学基金(No.41405063);深圳市科技计划项目(No.JCYJ20150630153917252);成都信息工程大学科研基金(No.KYTZ201725)
摘    要:为探究中国大陆城市O3污染状况时空变化的总体特征,运用时空统计分析和GIS技术对2015—2016年全国开展O3常规监测的336个城市进行分析,揭示近两年O3浓度及不同等级污染天数的时空变化格局,并着重对比分析"三区十群"区域内外O3浓度的变化差异.结果表明:2015—2016年期间,全国336个城市中,有258个城市2016年年均O3浓度值较2015年升高,形成了新的O3污染空间格局;京津冀及周边地区、长三角地区、中部的河南、武汉污染较重,东南沿海和西南地区的云南、西藏污染相对较轻;长三角地区和山东城市群是中国O3核心污染区域,陕西、山西及安徽三省O3浓度较2015年有大幅升高.O3的空间分布与NOx排放量、生成控制型等因素密切相关.已有的研究区域中除华北平原和四川盆地等地区的郊区点位以外,我国大多数地区的O3生成控制型属于VOCs控制型.研究结果有利于从宏观上直接对比评估国家大气污染重点防控区内外O3污染特征变化的差异,从而针对性地开展环境污染防控.

关 键 词:O3污染  时空变化  重点区域防控  空气污染
收稿时间:2017/11/19 0:00:00
修稿时间:2018/1/27 0:00:00

Pollution status and spatio-temporal variations of ozone in China during 2015-2016
WU Kai,KANG Ping,YU Lei,GU Shan,WEN Xiaohang,WANG Zhanshan,CHEN Yuzi,CHEN Shiying,ZHAO Shiqi,WANG Haolin and WANG Shigong.Pollution status and spatio-temporal variations of ozone in China during 2015-2016[J].Acta Scientiae Circumstantiae,2018,38(6):2179-2190.
Authors:WU Kai  KANG Ping  YU Lei  GU Shan  WEN Xiaohang  WANG Zhanshan  CHEN Yuzi  CHEN Shiying  ZHAO Shiqi  WANG Haolin and WANG Shigong
Institution:Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Baoding Meteorological Service, Baoding 071000,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Beijing Municipal Environmental Monitoring Center, Beijing 100048,School of the Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing 210044,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225 and Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225
Abstract:In order to further understand the general characteristics of temporal and spatial changes of O3 pollution in mainland China, the analysis of 336 cities in O3 routine monitoring during 2015 to 2016 was analyzed by means of time-space statistical analysis and GIS technology. The temporal and spatial distribution of O3 concentration and different pollution days were analyzed. And the differences of O3 concentration inside and outside the area of "three districts and ten groups" were especially compared. The results show that the annual mean O3 concentration of 258 cities in 2016 is higher than that in 2015, and formed a new O3 pollution spatial pattern. That is, O3 pollution in the Beijing-Tianjin-Hebei region, Shandong urban agglomeration, Yangtze River Delta region, Henan urban agglomeration, and Wuhan and surrounding urban agglomeration is obviously aggravated (especially, Yangtze River Delta region and Shandong urban agglomeration are China''s O3 core pollution areas); the concentration of O3 in several rural areas such as Tibet Plateau, Yunnan-Guizhou Plateau and the west bank of the Straits is always low; but at the same time, Shaanxi Guanzhong city group, Shanxi city group and Anhui city group formed a new O3 heavily polluted space pattern. The spatial distribution of O3 shows strong correlation with the spatial distribution of NOx emission and O3\NOx-VOCs sensitivity. Previous studies showed that the O3 generation control of most areas in China belonged to the VOCs control type, while the suburban spots in the North China Plain and Sichuan basin were NOx control type. The results of the study are helpful to evaluate the differences of O3 pollution characteristics inside and outside the national air pollution prevention and control area directly from the macroscopic point of view, so as to carry out the prevention and control of environmental pollution.
Keywords:ozone pollution  spatial-temporal variations  key regions control  air pollution
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