| 河南省臭氧污染特征与气象因子影响分析 |
| 摘要点击 2430 全文点击 1085 投稿时间：2019-08-10 修订日期：2019-09-26 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 河南省 臭氧(O3) 时空特征 气象因子 空间差异率 |
| 英文关键词 Henan Province ozone (O3) temporal-spatial characteristic meteorological factor coefficient of divergence |
| 作者 | 单位 | E-mail | | 齐艳杰 | 郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001 | 1125017693@qq.com | | 于世杰 | 郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001 | | | 杨健 | 郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001 | | | 尹沙沙 | 郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001 | shashayin@zzu.edu.cn | | 程家合 | 河南省气象服务中心, 郑州 450003 | | | 张瑞芹 | 郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001 | |
|
| 中文摘要 |
| 利用环境空气质量监测站和国家基准地面气候站数据，研究了2017年河南省臭氧（O3）污染时空特征及其与颗粒物、前体物和气象因子关系.结果表明，河南省2017年O3日最大8 h滑动平均值（MDA8）呈现夏季 > 春季 > 秋季 > 冬季的特征，年均值为108 μg·m-3；各地市均有不同程度O3超标情况，其中，安阳超标天数高达88 d，信阳最少为17 d；春末夏初（5月和6月）O3污染最为严重，O3 MDA8月均浓度在140 μg·m-3以上，并在6月达到峰值；定性和定量分析显示O3 MDA8月均浓度与颗粒物，O3小时浓度与CO、NO2呈负相关；不同季节、不同城市O3 MDA8与气象因子（日照时长、气温、降雨、能见度、相对湿度及风速）的相关性具有差异. |
| 英文摘要 |
| The spatio-temporal characteristics of ozone (O3) pollution in the Henan Province in 2017 and its relationship with particulate matter, precursors, and meteorological factors were studied using the data obtained from the air quality monitoring station and national baseline ground climate station. Results showed that the annual mean O3 concentration of a maximum daily 8-h average (MDA8) was 108 μg·m-3 in the Henan Province with the trend of summer > spring > autumn > winter. Different levels of O3 were observed in various cities. The number of days exceeding the standard was up to 88 days in Anyang, while the lowest was found in Xinyang with 17 days. The most severe of O3 pollution occurred during late spring and early summer. During this period, the average monthly concentration of O3 MDA8 was above 140 μg·m-3, and peaked in June. The qualitative and quantitative analysis showed that the monthly average concentration of O3 MDA8 was negatively correlated with particulate matter, and the O3 hourly concentration was also negatively correlated with CO and NO2. The O3 MDA8 concentration and meteorological factors (sunshine duration, temperature, rainfall, visibility, humidity, and wind speed) had different correlations during different seasons and various cities. |
|
|
|
