| 2017—2020年武汉市大气污染物时空分布特征研究 |
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| 引用本文： | 张晴,赵丽娅,郭志威,齐开.2017—2020年武汉市大气污染物时空分布特征研究[J].环境工程,2023,41(2):82-90. |
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| 作者姓名： | 张晴 赵丽娅 郭志威 齐开 |
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| 作者单位： | 湖北大学 资源环境学院, 武汉 430062 |
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| 基金项目： | 恩施鹤峰输变电工程所涉自然保护区生态专题评价(2021108002001127)湖北省教育厅重点项目"武汉市主要园林植物滞留大气颗粒物效应及机理研究"(D2015003) |
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| 摘 要： | 为进一步了解武汉市大气污染时空分布特征，对2017—2020年武汉市主要大气污染物(PM2.5、PM10、SO2、CO、NO2和O3)进行了空间插值分析、时间变化分析以及与气象要素的相关性分析。结果表明：武汉市近4年环境空气质量达标率为72.98%。PM2.5、PM10、SO2、CO和NO2具有“冬高夏低”的“V”形特征，O3呈“夏高冬低”的变化趋势。武汉市年均质量浓度超标的大气污染物主要有PM2.5和PM10,但其年均质量浓度均呈下降趋势，而O3是年均质量浓度唯一处于上升状态的大气污染物，今后应重点关注颗粒物与臭氧污染。PM2.5、PM10、SO2、CO和NO2主要集中在武昌区、蔡甸区、青山区、江汉区、江岸区，而O<...
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| 关 键 词： | 大气污染物 空气质量 时空分布特征 气象要素 相关分析 |
| 收稿时间： | 2021-10-31 |
SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF ATMOSPHERIC POLLUTANTS IN WUHAN FROM 2017 TO 2020 |
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| Affiliation: | School of Resources and Environmental Science, Hubei University, Wuhan 430062, China |
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| Abstract: | An investigation on the spatial and temporal distribution characteristics and correlation analysis with meteorological elements were conducted on the main atmospheric pollutants (PM2.5, PM10, SO2, CO, NO2 and O3) in Wuhan from 2017 to 2020, to understand the level of atmospheric pollution in each district of Wuhan. The results were as follows:The overall achievement rate of ambient air quality in Wuhan over the past four years was 72.98%. The pollution of PM2.5, PM10, SO2, CO and NO2 was more serious in winter, and less in summer; the pollution of O3 was more in summer, and less in winter. PM2.5 and PM10 were the exceeding pollutants among the atmospheric pollutants, but the annual average mass concentrations were on a decreasing trend, while O3 was the only air pollutant whose annual average mass concentration was on the rise, so particulate matters and ozone pollution should be paid on more attention in the future. PM2.5, PM10, SO2, CO and NO2 were more concentrated in Wuchang District, Caidian District, Qingshan District, Jianghan District, Jiangan District, and O3 were concentrated in Huangpi District, Xinzhou District and Jiangxia District. PM2.5, PM10, SO2, CO and NO2 were significantly positively correlated with each other, while O3 and these five atmospheric pollutants were significantly negatively correlated. Mean temperature was significantly negatively correlated with PM2.5, PM10, SO2, CO and NO2, and significantly and strongly positively correlated with O3. Sunshine duration was significantly negatively correlated with all six pollutants. Mean wind speed was significantly negatively correlated with PM2.5, PM10, SO2, CO and NO2, and significantly positively correlated with O3. Relative humidity had the least effect on air pollutants and was only weakly correlated with SO2. The main meteorological elements affecting air pollutants in Wuhan were average temperature and sunshine duration. |
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