2017-2020年武汉市大气污染物时空分布特征研究

张晴; 赵丽娅; 郭志威; 齐开

doi:10.13205/j.hjgc.202302012

2017-2020年武汉市大气污染物时空分布特征研究

doi: 10.13205/j.hjgc.202302012

湖北大学资源环境学院, 武汉 430062

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)

详细信息

作者简介:
张晴(1997-),女,硕士研究生,主要研究方向为环境生态学。zhangqing0521@stu.hubu.edu.cn

通讯作者:
赵丽娅(1975-),女,教授,主要从事环境生态学的研究与教学工作。zhaoly0128@hubu.edu.cn

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出版历程
- 收稿日期: 2021-10-31
- 网络出版日期: 2023-05-25
- 刊出日期: 2023-02-01

SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF ATMOSPHERIC POLLUTANTS IN WUHAN FROM 2017 TO 2020

School of Resources and Environmental Science, Hubei University, Wuhan 430062, China

摘要

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(PM_2.5、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%。PM_2.5、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PM_2.5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。PM_2.5、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O₃多聚集在黄陂区、新洲区和江夏区。PM_2.5、PM₁₀、SO₂、CO和NO₂之间均呈显著正相关,O₃和其余5种大气污染物均呈显著负相关。平均气温与PM_2.5、PM₁₀、SO₂、CO和NO₂均呈显著负相关,与O₃呈显著极强正相关;日照时长与6种污染物均呈显著负相关;平均风速与PM_2.5、PM₁₀、SO₂、CO和NO₂均呈显著负相关,与O₃呈显著正相关;相对湿度仅与SO₂呈弱相关性。影响武汉市大气污染物的主要气象要素是平均气温和日照时长。
- 大气污染物 /
- 空气质量 /
- 时空分布特征 /
- 气象要素 /
- 相关分析
Abstract: An investigation on the spatial and temporal distribution characteristics and correlation analysis with meteorological elements were conducted on the main atmospheric pollutants (PM_2.5, 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 PM_2.5, 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. PM_2.5 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. PM_2.5, 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. PM_2.5, 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 PM_2.5, 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 PM_2.5, 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.
- atmospheric pollutants /
- air quality /
- spatial and temporal analysis /
- meteorological factors /
- correlation analysis

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