成都市PM2.5、PM10变化特征及其与气象因素的关系

摘要/Abstract

摘要： 为研究气象因素对成都市大气细颗粒物 (PM2.5)、可吸入颗粒物 (PM10) 的影响，收集了2015―2018 年成都市 PM2.5、PM10的月平均浓度，采用Pearson 相关分析法，分析了成都市PM2.5、PM10与气象条件的关系。结果表明： (1) 2015 ―2018 年，成都市PM2.5、PM10年平均浓度虽然年际间差别较小，但整体呈现逐年缓慢下降趋势， 2015 年以来成都市的一系列大气污染控制措施是PM2.5、PM10逐年缓慢下降的原因； 2015―2018 年成都市PM2.5、PM10浓度季节变化特征整体表现为冬季 > 春季 > 秋季> 夏季。(2) 不同气象因素对成都市PM2.5、PM10月平均浓度的影响程度不同，降水量与气温是影响成都市PM2.5、PM10月平均浓度的主要因素，两者与PM2.5、PM10呈较高的负线性相关，其中PM2.5、PM10与降水量的相关系数均为 −0.612，与月平均气温的相关系数分别为 −0.822、−0.776，降水会通过捕获大气中的颗粒物来去除 PM2.5、PM10，而温度的升高会加强PM2.5、PM10等污染物在垂直方向上的对流运动，从而对成都市污染物浓度的降低起到重要作用；日照时数、月平均风速、相对湿度等与PM2.5、PM10月平均浓度整体也呈现负相关，但与降水量和气温相比，日照时数、月平均风速与PM2.5、PM10月平均浓度的相关性较低，而相对湿度与PM2.5、PM10月平均浓度的相关性则更加微弱，表明相对湿度的变化对成都市PM2.5、PM10的积累和扩散影响很小。

关键词: 细颗粒物, 可吸入颗粒物, 气温, 降水量, 风速

Abstract: To explore the characteristics of PM2.5 and PM10 in Chengdu, China, and their relationship with meteorological factors, monthly average concentrations of PM2.5 and PM10 in Chengdu from 2015 to 2018 were collected, and their relationships with meteorological factors were analyzed by using Pearson correlation analysis method. The results show that: (1) Pue to the implementation of a series of air pollution control measures since 2015, the average annual concentration of PM2.5, PM10 in Chengdu shows a slowly decreasing trend year by year. And the seasonal PM2.5, PM10 concentration in Chengdu from 2015 to 2018 decreased in the order of winter, spring, autumn and summer. (2) Different meteorological factors have different effects on the monthly average concentration of PM2.5 and PM10 in Chengdu. The concentrations of PM2.5 and PM10 show a high negative linear correlation with temperature and precipitation, which indicates that temperature and precipitation are two key factors affecting the monthly average concentrations of PM2.5 and PM10 in Chengdu. Sunshine duration, monthly average wind speed and relative humidity are also negatively correlated with PM2.5 and PM10 monthly average concentrations. However, compared with precipitation and temperature, the linear correlation between sunshine duration, monthly average wind speed and PM2.5, PM10 is lower, while the linear correlation between relative humidity and PM2.5, PM10 is even weaker, and less significant, indicating that the change of relative humidity has little effect on the accumulation and diffusion of PM2.5 and PM10 in Chengdu.

Key words: fine particulate matter, inhalable particles, temperature, precipitation, wind speed

中图分类号:

K903
X513

李瑞. 成都市PM2.5、PM10变化特征及其与气象因素的关系[J]. 大气与环境光学学报, 2023, 18(1): 47-58.

LI Rui. Variation characteristics of PM2.5 and PM10 in Chengdu and their correlation with meteorological factors[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 47-58.

参考文献 37

[1]	Li M S, Zhang J H, Zhang Y J, et al. Spatio-temporal pattern changes of ambient air PM10 pollution in China from 2002 to
20	12 [J]. Acta Geographica Sinica, 2013, 68(11): 1504-1512.
	李名升, 张建辉, 张殷俊, 等. 近10 年中国大气PM10污染时空格局演变 [J]. 地理学报, 2013, 68(11): 1504-1512.
[2]	中华人民共和国环境保护部. 中国环境质量报告2011 [R]. 北京: 中国环境科学出版社, 2013.
[3]	Mu Q, Zhang S Q. An evaluation of the economic loss due to the heavy haze during January 2013 in China [J]. China
	Environmental Science, 2013, 33(11): 2087-2094.
	穆泉, 张世秋. 2013年1 月中国大面积雾霾事件直接社会经济损失评估 [J]. 中国环境科学, 2013, 33(11): 2087-2094.
[4]	Ma Z Q, Zhao X J, Meng W, et al. Comparison of influence of fog and haze on visibility in Beijing [J]. Research of
	Environmental Sciences, 2012, 25(11): 1208-1214.
	马志强, 赵秀娟, 孟伟, 等. 雾和霾对北京地区大气能见度影响对比分析 [J]. 环境科学研究, 2012, 25(11): 1208-1214.
[5]	Gong S Y, Feng J L. Relationships among relative humidity, PM10 concentration and atmospheric visibility in Shanghai [J].
	Research of Environmental Sciences, 2012, 25(6): 628-632.
	龚识懿, 冯加良. 上海地区大气相对湿度与PM10 浓度和大气能见度的相关性分析 [J]. 环境科学研究, 2012, 25(6):
62	8-632.
[6]	Tai A P K, Mickley L J, Jacob D J. Correlations between fine particulate matter (PM2.5) and meteorological variables in the
	United States: Implications for the sensitivity of PM2.5 to climate change [J]. Atmospheric Environment, 2010, 44(32): 3976-
	3984.
[7]	Menon S , Hansen J, Nazarenko L, et al. Climate effects of black carbon aerosols in China and India [J]. Science, 2002, 297
	(5590): 2250-2253.
[8]	Zhang Q , Jiang X J, Tong D, et al. Transboundary health impacts of transported global air pollution and international trade
[J]	Nature. 2017, 543 (7647): 705-709.
[9]	Yang H B, Zou X D, Wang H Y, et al. Study progress on PM2.5 in atmospheric environment [J]. Journal of Meteorology and
	Environment, 2012, 28(3): 77-82.
	杨洪斌, 邹旭东, 汪宏宇, 等. 大气环境中PM2.5的研究进展与展望 [J]. 气象与环境学报, 2012, 28(3): 77-82.
[10]	Bai Z N. The Effect of Ambient Particulate Matter (PM2.5/PM10) on Hospital Admissions for Lower Respiratory Tract Infection:
	A Case-Crossover Study in Shi Jiazhuang, China [D]. Shijiazhuang: Hebei Medical University, 2015.
	白子娜. 石家庄市大气颗粒物 (PM2.5/PM10)对下呼吸道感染住院影响的病例交叉研究 [D]. 石家庄: 河北医科大学, 2015.
[11]	Pope Ⅲ C A, Burnett R T, Thun M J, et al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine
	particulate air pollution [J]. JAMA, 2002, 287(9): 1132-1141.
[12]	Li Y P, Liu H F, Zhou H, et al. Contamination characteristics and health risk assessment of toxic heavy metals in PM2.5 in
	Chengdu [J]. China Environmental Science, 2015, 35(7): 2225-2232.
	李友平, 刘慧芳, 周洪, 等. 成都市PM2.5中有毒重金属污染特征及健康风险评价 [J]. 中国环境科学, 2015, 35(7): 2225-
	2232.
[13]	Heft-Neal S, Burney J, Bendavid E, et al. Robust relationship between air quality and infant mortality in Africa [J]. Nature,
20	18, 559(7713): 254-258.
[14]	Yuan S, Wang J X, Jiang Q Q, et al. Long-term exposure to PM2.5 and stroke: A systematic review and meta-analysis of
	cohort studies [J]. Environmental Research, 2019, 177: 108587.
[15]	Dao X, Zhang L L, Wang C, et al. Characteristics of mass and ionic compounds of atmospheric particles in winter and
	summer of Beijing-Tianjin-Hebei area, China [J]. Environmental Chemistry, 2015, 34(1): 60-69
	刀谞, 张霖琳, 王超, 等. 京津冀冬季与夏季PM2.5/PM10及其水溶性离子组分区域性污染特征分析 [J]. 环境化学, 2015,
34	(1): 60-69.
[16]	Wang Z S, Li Y T, Chen T, et al. Spatial-temporal characteristics of PM2.5 in Beijing in 2013 [J]. Acta Geographica Sinica,
20	15, 70(1): 110-120.
	王占山, 李云婷, 陈添, 等. 2013 年北京市PM2.5的时空分布 [J]. 地理学报, 2015, 70(1): 110-120.
[17]	Zhang G L, Zhang T H, Chen B, et al. Pollutant characteristics analysis during APEC summit in Beijing-Tianjin-Hebei
	region [J]. Journal of Atmospheric and Environmental Optics, 2017, 12(3): 184-194.
	张国龙, 张廷瀚, 陈斌, 等. APEC期间京津冀地区污染物变化特征分析 [J]. 大气与环境光学学报, 2017, 12(3): 184-194.
[18]	Liu D M, Huang J, Gao S P, et al. The pollution level and influencing factors of atmospheric particulates from traffic in
	Beijing City during spring [J]. Earth Science Frontiers, 2006, 13(2): 228-233.
	刘大锰, 黄杰, 高少鹏, 等. 北京市区春季交通源大气颗粒物污染水平及其影响因素 [J]. 地学前缘, 2006, 13(2):
22	8-233.
[19]	Wei Y X, Tong Y Q, Yin Y, et al. The variety of main air pollutants concentration and its relationship with meteorological
	condition in Nanjing City [J]. Transactions of Atmospheric Sciences, 2009, 32(3): 451-457.
	魏玉香, 童尧青, 银燕, 等. 南京SO2、NO2和PM10变化特征及其与气象条件的关系 [J]. 大气科学学报, 2009, 32(3):
45	1-457.
[20]	Li L, Chen C H, Huang C, et al. Regional air pollution characteristics simulation of O3 and PM10 over Yangtze River Delta
	region [J]. Environmental Science, 2008, 29(1): 237-245.
	李莉, 陈长虹, 黄成, 等. 长江三角洲地区大气O3和PM10的区域污染特征模拟 [J]. 环境科学, 2008, 29(1): 237-245.
[21]	Yun L L, Zhang T S, Lu F, et al. Analysis of air pollutants during process of a haze in Wuxi City [J]. Journal of Atmospheric
	and Environmental Optics. 2015, 10(1): 22-30.
	云龙龙, 张天舒, 陆钒, 等. 无锡市一次霾形成过程大气污染物特征分析 [J]. 大气与环境光学学报, 2015, 10(1): 22-30.
[22]	Zhang H Y, Wang X S, Lu K D, et al. Impact of typical meteorological conditions on the O3 and PM10 pollution episodes in
	the Pearl River Delta in autumn [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2014, 50(3): 565-576.
	张浩月, 王雪松, 陆克定, 等. 珠江三角洲秋季典型气象条件对O3和PM10污染的影响 [J]. 北京大学学报(自然科学版),
20	14, 50(3): 565-576.
[23]	Liu N, Wang X S, Hu Y T, et al. Numerical simulation and process analysis of PM10 pollution over the Pearl River Delta in
	autumn [J]. China Environmental Science, 2012, 32(9): 1537-1545.
	刘宁, 王雪松, 胡泳涛, 等. 珠江三角洲秋季PM10污染模拟与形成过程分析 [J]. 中国环境科学, 2012, 32(9): 1537-1545.
[24]	Hu X Y, Li Y P, Li J F, et al. Interaction of ambient PM10 among the cities over the Pearl River Delta [J]. Acta Scientiarum
	Naturalium Universitatis Pekinensis, 2011, 47(3): 519-524.
	胡晓宇, 李云鹏, 李金凤, 等. 珠江三角洲城市群PM10的相互影响研究 [J]. 北京大学学报 (自然科学版), 2011, 47(3):
51	9-524.
[25]	Du J H, Huang X, He L Y, et al. Pollution characteristics of mercury in fine particles (PM2.5) in Shenzhen City [J]. Research
	of Environmental Sciences, 2010, 23(6): 667-673.
	杜金花, 黄晓锋, 何凌燕, 等. 深圳市大气细粒子 (PM2.5) 中汞的污染特征 [J]. 环境科学研究, 2010, 23(6): 667-673.
[26]	Zhang X Y, Sun J Y, Wang Y Q, et al. Factors contributing to haze and fog in China [J]. Chinese Science Bulletin, 2013, 58
(13)	: 1178-1187.
	张小曳, 孙俊英, 王亚强, 等. 我国雾-霾成因及其治理的思考 [J]. 科学通报, 2013, 58(13): 1178-1187.
[27]	Bao Z E, Chen L H, Li K W, et al. Meteorological and chemical impacts on PM2.5 during a haze episode in a heavily polluted
	basin city of Eastern China [J]. Environmental Pollution, 2019, 250: 520-529.
[28]	Li Z H, Tu X P. Winter space-time distribution of boundary layer meteorological elements with their relation to fog formation
	in Chongqing urban districts [J]. Journal of Nanjing Institute of Meteorology, 1993, 16(3): 329-333.
	李子华, 涂晓萍. 重庆市区冬季边界层气象要素的时空分布及与成雾的关系 [J]. 南京气象学院学报, 1993, 16(3):
32	9-333.
[29]	Guo Y X, Gong D Y, Wang W S, et al. Spatiotemporal variation of PM10 concentration and its relationship with autumn daily
	temperature over Central and Eastern China[J]. Acta Geographica Sinica, 2012, 67(9): 1155-1164.
	郭元喜, 龚道溢, 汪文珊, 等. 中国中东部秋季PM10时空变化及其与日气温的关系 [J]. 地理学报, 2012, 67(9): 1155-
	1164.
[30]	Zhao C X, Wang Y Q, Wang Y J, et al. Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation
	of particulate matters and meteorological factors during winter and spring in Beijing [J]. Environmental Science, 2014, 35(2):
41	8-427.
	赵晨曦, 王云琦, 王玉杰, 等. 北京地区冬春PM2.5 和PM10 污染水平时空分布及其与气象条件的关系 [J]. 环境科学,
20	14, 35(2): 418-427.
[31]	General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization
	Administration of the People's Republic of China. Ambient air quality standard: GB 3095—2012 [S]. Beijing: China
	Environment Science Press, 2016.
	国家质量监督检验检疫总局, 中国国家标准化管理委员会. 环境空气质量标准: GB 3095—2012 [S]. 北京: 中国环境科学
	出版社, 2016.
[32]	Guo Q, Wang J Y, Zhou Z H, et al. Characteristics and reason analysis of a typical heavy air pollution event in Chengdu [J].
	Acta Scientiae Circumstantiae, 2018, 38(2): 629-639.
	郭倩, 汪嘉杨, 周子航, 等. 成都市一次典型空气重污染过程特征及成因分析 [J]. 环境科学学报, 2018, 38(2): 629-639.
[33]	Cao J L, Wang M S, Han W S, et al. Spatio-temporal distribution characteristics of PM2.5 in Henan Province [J]. Journal of
	Atmospheric and Environmental Optics, 2018, 13(1): 42-51.
	曹景丽, 王明仕, 韩文生, 等. 河南省PM2.5时空分布特征研究 [J]. 大气与环境光学学报, 2018, 13(1): 42-51.
[34]	Zhang Z S, Tao J, Xie S D, et al. Seasonal variations and source apportionment of PM2.5 at urban area of Chengdu [J]. Acta
	Scientiae Circumstantiae, 2013, 33(11): 2947-2952.
	张智胜, 陶俊, 谢绍东, 等. 成都城区PM2.5季节污染特征及来源解析 [J]. 环境科学学报, 2013, 33(11): 2947-2952.
[35]	Zheng X X, Zhao W J, Yan X, et al. Spatial and temporal variation of PM2.5 in Beijing City after rain [J]. Ecology and
	Environmental Sciences, 2014, 23(5): 797-805.
	郑晓霞, 赵文吉, 晏星, 等. 降雨过程后北京城区PM2.5日时空变化研究 [J]. 生态环境学报, 2014, 23(5): 797-805.
[36]	Zhou T X, Wang G Q, Kuang H Y, et al. Analysis of the relationship between PM2.5 and wind direction and speed in
	Changzhou [J]. Agriculture and Technology, 2017, 37(9): 140-141.
	周天雄, 王国强, 匡汉祎, 等. 常州市PM2.5与风向风速关系分析 [J]. 农业与技术, 2017, 37(9): 140-141.
[37]	Guo X M. Observed and Simulated Research on Climate Characteristic of Air Quality and the Topographic Induced Effects in
	Sichuan Basin [D]. Nanjing: Nanjing University of Information Science & Technology, 2016.
	郭晓梅. 四川盆地空气质量气候特征及其大地形影响效应的观测模拟研究 [D]. 南京: 南京信息工程大学, 2016.