| 2015~2021年京津冀及周边地区PM2.5和臭氧复合污染时空特征分析 |
| 摘要点击 2198 全文点击 1688 投稿时间：2022-05-08 修订日期：2022-06-28 |
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| 中文关键词 京津冀及周边地区 PM2.5 臭氧 复合污染特征 协同控制 |
| 英文关键词 BTH with surrounding area PM2.5 ozone(O3) co-pollution characteristics synergistic control |
| 作者 | 单位 | E-mail | | 宋小涵 | 聊城大学地理与环境学院, 聊城 252000 | 429455125@qq.com | | 燕丽 | 生态环境部环境规划院, 北京 100012 | yanli@caep.org.cn | | 刘伟 | 生态环境部环境规划院, 北京 100012 | | | 贺晋瑜 | 生态环境部环境规划院, 北京 100012 | | | 王亚晨 | 聊城大学地理与环境学院, 聊城 252000 | | | 黄同林 | 聊城大学地理与环境学院, 聊城 252000 | | | 李园园 | 聊城大学地理与环境学院, 聊城 252000 | | | 陈敏 | 聊城大学地理与环境学院, 聊城 252000 | | | 孟静静 | 聊城大学地理与环境学院, 聊城 252000 | | | 侯战方 | 聊城大学地理与环境学院, 聊城 252000 | |
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| 中文摘要 |
| 为了解京津冀及周边地区"2+26"城市PM2.5和O3复合污染时空分布特征，利用ArcGIS和SPSS软件对2015~2021年京津冀及周边地区" 2+26"城市空气质量数据和气象数据进行关联性分析.结果表明：① 2015~2021年PM2.5污染持续减缓，污染集中在区域中南部；O3污染呈波动上升趋势，空间分布呈现"西南低，东北高"的格局.季节变化来看，PM2.5浓度主要为：冬季>春季≈秋季>夏季，O3-8h浓度为：夏季>春季>秋季>冬季.②"2+26"城市PM2.5超标天数持续下降，O3超标天数波动上升，复合污染日下降趋势显著；PM2.5和O3污染在夏季呈强正相关，相关系数最高达0.52，冬季呈强负相关.③对比典型城市臭氧污染时期与复合污染时期气象条件，复合污染发生的温度区间集中在23.7~26.5℃、湿度48%~65%和S~SE风向条件下. |
| 英文摘要 |
| PM2.5 and ozone co-pollution, which are harmful to not only human health but also the social economy, has become the pivotal issue in air pollution prevention and synergistic control, especially in Beijing-Tianjin-Hebei and its surrounding areas and "2+26" cities. It is necessary to analyze the correlation between PM2.5 and ozone concentration and explore the mechanism of PM2.5 and ozone co-pollution. In order to study the characteristics of PM2.5 and ozone co-pollution in Beijing-Tianjin-Hebei with its surrounding area, ArcGIS and SPSS software were used to analyze the correlation between air quality data and meteorological data of the "2+26" cities in Beijing-Tianjin-Hebei and its surrounding areas from 2015 to 2021. The results indicated:① PM2.5 pollution constantly decreased from 2015 to 2021, and the pollution was concentrated in the central and southern parts of the region; ozone pollution showed a trend of fluctuation and presented a pattern of "low in the southwest and high in the northeast" spatially. In terms of seasonal variation, PM2.5concentration was mainly in the order of winter>spring ≈ autumn>summer, and O3-8h concentration was in the order of summer>spring>autumn>winter. ② In the research area, days with PM2.5 exceeding the standard continued to decline, whereas days with ozone exceeding the standard fluctuated, and days with co-pollution decreased significantly; there was a strong positive correlation between PM2.5 and ozone concentration in summer, with the highest correlation coefficient of 0.52, and a strong negative correlation in winter. ③ Comparing the meteorological conditions of typical cities during the ozone pollution period with that of the co-pollution period, the co-pollution occurred under the temperature range of 23.7-26.5℃, humidity of 48%-65%, and S-SE wind direction. |
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