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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参考文献(46)

[1]	HU J L, WANG Y G, YING Q, et al. Spatial and temporal variability of PM_2.5 and PM₁₀ over the North China Plain and the Yangtze River Delta, China[J]. Atmospheric Environment,2014,95:598-609.
[2]	HUANG R J, ZHANG Y L, BOZZETTI C, et al. High secondary aerosol contribution to particulate pollution during haze events in China[J]. Nature,2014,514(7521):218-222.
[3]	LI Y C, LIU X J. How did urban polycentricity and dispersion affect economic productivity? a case study of 306 Chinese cities[J]. Landscape and Urban Planning,2018,173:51-59.
[4]	魏复盛,滕恩江,吴国平,等. 我国4个大城市空气PM_2.5、PM₁₀污染及其化学组成[J].中国环境监测, 2001,17(7):1-6.
[5]	CHAN C K, YAO X. Air pollution in mega cities in China[J]. Atmosphere Environment, 2008,42(1):1-42.
[6]	曹国良,张小曳,龚山陵,等. 中国区域主要颗粒物及污染气体的排放源清单[J].科学通报, 2011, 56(3):261-268.
[7]	CAO J J, XU H M, XU Q, et al. Fine particulate matter constituents and cardiopulmonary mortality in a heavily polluted Chinese city[J]. Environ Health Perspect,2012,120:373-378.
[8]	JERRETT M, BURNETT R T, BECKERMAN B S, et al. Spatial analysis of air pollution and mortality in California[J]. Am J Respir Crit Care Med,2013,88:593-599.
[9]	XIE Y Y, ZHAO B, ZHANG L, et al. Spatiotemporal variations of PM_2.5 and PM₁₀ concentrations between 31 Chinese cities and their relationships with SO₂,NO₂,CO and O₃[J]. Particuology,2015,20:141-149.
[10]	王芳龙,李忠勤,尤晓妮,等.2015-2017年天水市大气污染物变化特征及来源分析[J].环境科学学报,2018,38(12):4592-4604.
[11]	曾鹏,辛存林,于奭,等.典型西南工业城市柳州市核心区大气污染物时空分布与气象因素研究[J].环境科学学报,2020,40(1):13-26.
[12]	戴健,程月星,李艳,等.北京市朝阳区大气污染物时空分布特征及与气象要素的关系研究[J].环境保护与循环经济,2017,37(1):55-61.
[13]	ZHAO S P, YU Y, YIN D Y, et al. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center[J]. Environment International,2016,86:92-106.
[14]	WANG Y G, YING Q, HU J L, et al. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014[J]. Environment International,2014,73:413-422.
[15]	蔡坤,郑泰皓,陈良富,等.河南省2005-2015年NO₂和PM_2.5时空变化遥感解析[J].中国环境科学,2017,37(12):4417-4427.
[16]	史海琪,曾胜兰,李浩楠.四川盆地大气污染物时空分布特征及气象影响因素研究[J].环境科学学报,2020,40(3):763-778.
[17]	高婵娟,赵啟超,丁若男,等.2018年吉林市大气污染物浓度变化及其与气象因素的相关性分析[J].环境工程,2021,39(5):71-79.
[18]	高正旭,王晓玲,向华,等.武汉市2014-2017年大气污染物分布特征及其潜在来源分析[J].环境科学学报,2018,38(11):4440-4453.
[19]	卢进登,柯杰,莫彩芬,等.2017年武汉市城区空气污染物时空分布特征[J].环境科学导刊,2018,37(6):46-51.
[20]	辛艾萱,何超,彭韵曦,等.武汉市大气污染物时空分布与区域传输贡献[J].环境科学与技术,2020,43(9):170-181.
[21]	代知广,王毅,金灿,等.武汉市大气污染物时空分布特征与健康风险评价[J].科技创新与生产力,2021(3):34-37.
[22]	晏星,马小龙,赵文慧.基于不同插值方法的PM1污染物浓度研究[J].测绘,2010,33(4):172-175.
[23]	吴蒙,彭慧萍,范绍佳,等.珠江三角洲区域空气质量的时空变化特征[J].环境科学与技术,2015,38(2):77-82.
[24]	王无为,黄建武,龚胜生,等.2016年武汉市大气污染物时空分布特征及影响因素[J].环境监测管理与技术,2018,30(6):20-24.
[25]	BUHR M,PARRISH D,ELLIOT J,et al. Evaluation of ozone precursorsource types using principal component analysis of ambient air measurements in rural Alabama[J]. Journal of Geophysical Research Atmospheres,1995, 1002(D11):22853-22860.
[26]	张子曰,李艳,戴高菊,等.北京市朝阳区主要大气污染物浓度变化特征[J].气象与环境学报,2016,32(2):44-51.
[27]	朱常琳,李夏清,李富渊. 西安市主要大气污染物浓度变化特征及相关特性分析[J].环境工程,2017,35(11):104-109.
[28]	石玉珍,徐永福,王庚辰,等.北京市夏季O₃、NO_<em>x等污染物"周末效应"研究[J].环境科学,2009,30(10):2832-2838.
[29]	安俊琳,王跃思,李昕,等.北京大气O₃与NO_<em>x的变化特征[J].生态环境,2008,(4):1420-1424.
[30]	周俊佳,梁娟珠.福州市区大气污染物质量浓度时空分布特征分析[J].环境工程,2017,35(2):89-93 ,173.
[31]	肖凯,任学昌,陈仁华.嘉峪关市大气污染物传输特征与潜在源分析[J].环境工程,2021,39(9):92-101 ,109.
[32]	吕钰莲. 武汉市空气质量时空分布特征及气象要素的影响[D].武汉:华中农业大学,2019.
[33]	XIAO K, WANG Y K, WU G, et al. Spatiotemporal characteristics of air pollutants (PM₁₀, PM_2.5, SO₂, NO₂, O₃, and CO) in the inland basin city of Chengdu, Southwest China[J]. Atmosphere,2018,9(2):74.
[34]	周君蕊,黄宇,邱培培,等.武汉市大气污染源排放清单及分布特征研究[J].南京信息工程大学学报(自然科学版),2018,10(5):599-605.
[35]	朱常琳,孟双双,张荣国.西安市主要大气污染物的相关性分析及时空分布特征[J].环境工程,2017,35(12):86-91.
[36]	董佳丹,陈晓玲,蔡晓斌,等.基于中国大气环境监测站点的2015-2019年大气质量状况时空变化分析[J].地球信息科学学报,2020,22(10):1983-1995.
[37]	RYPDAL K, RIVE N, BERNTSEN T, et al. Climate and air quality driven scenarios of ozone and aerosol precursor abatement[J]. Environ Sci Policy, 2009,12:855-869.
[38]	唐斌雁. 京津冀地区近地层臭氧和颗粒物污染相互影响研究[D].成都:成都信息工程大学,2018.
[39]	毛卓成,许建明,杨丹丹,等.上海地区PM_2.5-O₃复合污染特征及气象成因分析[J].中国环境科学,2019,39(7):2730-2738.
[40]	ANGER A, DESSENS O, XI F M, et al. China's air pollution reduction efforts may result in an increase in surface ozone levels in highly polluted areas[J]. Ambio,2016,45(2):254-265.
[41]	LI K, JACOB D J, LIAO H, et al. A two-pollutant strategy for improving ozone and particulate air quality in China[J]. Nature Geoscience, 2019,12(11):906-910.
[42]	张瑞旭,芮守娟,王伟军,等.气象条件对西安市夏季和冬季近地面大气环境污染特征影响[J].生态环境学报,2020,29(1):165-174.
[43]	杨兴川,赵文吉,熊秋林,等.2016年京津冀地区PM_2.5时空分布特征及其与气象因素的关系[J].生态环境学报,2017,26(10):1747-1754.
[44]	崔梦瑞,白林燕,冯建中,等.京津唐地区臭氧时空分布特征与气象因子的关联性研究[J].环境科学学报,2021,41(2):373-385.
[45]	王海畅,吴泽邦,周景博,等.北京上甸子站PM_2.5浓度与气象要素关系分析[J].气象与环境学报,2015,31(5):99-104.
[46]	沈楠驰,周丙锋,李珊珊,等.2015-2019年天津市大气污染物时空变化特征及成因分析[J].生态环境学报,2020,29(9):1862-1873.