基于多模式的北京PM<sub>2.5</sub>组分特征及氧化潜势分析

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (0 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要于2019年3、7月在中国气象科学研究院站进行PM_2.5样品采集与实验分析，并用正交矩阵因子分析法（PMF）模型进行来源解析，发现交通源（19.10%）、二次组分（19.17%）和扬尘源（18.02%）是采样期间PM_2.5污染主要来源.在此基础上以每立方米大气体积的抗坏血酸的消耗速率（OPv）表征PM_2.5的氧化潜势.3月北京的OPv值为（210.49±169.00）[pmol/（min×m³）]，7月则为（313.34±131.84） [（pmol/（min·m³））.且OPv与Cu（r=0.801）、As（r=0.742）、SO₄^2-（r=0.701）等具有很强的相关性.将多元回归结果和WRF-Chem模型结合，构建了新的氧化潜势预测模型，发现OPv和PM_2.5浓度的空间特征存在差异，北京市OPv的浓度最大值出现在东南部.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	滑彤昕
	刘蕾
	温维
	刘晓宇
	姜博
	马欣
	刘育松
	邓子凡

关键词 ： PM_2.5, 正交矩阵因子分析法(PMF), 氧化潜势, 多元回归分析, WRF-Chem, 数值模拟

Abstract：PM_2.5 samples were collected and analyzed at the station of Chinese Academy of Meteorological Sciences (CAMS) in March and July 2019. PMF (Positive Matrix Factorization) model was used for source analysis, demonstrating that traffic sources (19.10%), secondary components (19.17%) and dust sources (18.02%) were the main sources of PM_2.5 pollution during the sampling period in Beijing. On this basis, the oxidative potential of PM_2.5 was determined by the consumption rate of ascorbic acid (AA) per cubic meter, referred as OPv. The OPv were (210.49±169.00) [pmol/(min·m³)] and (313.34±131.84) [pmol/min·m³]] in March and July, respectively. OPv had a very strong correlation with Cu (r=0.801), As (r=0.742), SO₄^2-(r=0.701). A new OPv prediction model was constructed by the multiple regression results and the WRF-Chem model. It was found that there were differences in the spatial characteristics of OPv and PM_2.5 concentrations, and the maximum concentration of OPv in Beijing appeared in the southeast.

Key words： PM_2.5 PMF oxidative potential multiple linear regression WRF-Chem numerical simulation

收稿日期: 2023-06-05

PACS:

X513

基金资助:国家自然科学基金资助项目（52270097）

通讯作者: 温维,副教授,wenwei@ustb.edu.cn E-mail: wenwei@ustb.edu.cn

作者简介: 滑彤昕(2000-),男,河北邢台人,北京科技大学硕士研究生,主要从事大气污染数值模拟方向研究.发表论文1篇.htx0319@163.com.

引用本文:

滑彤昕, 刘蕾, 温维, 刘晓宇, 姜博, 马欣, 刘育松, 邓子凡. 基于多模式的北京PM_2.5组分特征及氧化潜势分析[J]. 中国环境科学, 2024, 44(1): 37-47. HUA Tong-xin, LIU Lei, WEN Wei, LIU Xiao-yu, JIANG Bo, MA Xin, LIU Yu-song, DENG Zi-fan. Analysis of PM_2.5 component characteristics and oxidative potential in Beijing based on multi-mode application. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(1): 37-47.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I1/37

[1]	Sharma S, Chandra M, Kota S H.Health effects associated with PM2.5:A systematic Review [J].Current Pollution Reports, 2020, 6(4):345-367.
[2]	Valavanidis A, Vlachogianni T, Fiotakis K, et al.Pulmonary oxidative stress, inflammation and cancer:respirable particulate matter, fibrous dusts and ozone as major causes of lung carcinogenesis through reactive oxygen species mechanisms [J].International Journal of Environmental Research and Public Health, 2013,10(9):3886-3907.
[3]	Feng S L, Gao D, Liao F, et al.The health effects of ambient PM2.5 and potential mechanisms [J].Ecotoxicology and Environmental Safety, 2016,128:67-74.
[4]	Wang Y Q, Wang M M, Li S P, et al.Study on the oxidation potential of the water-soluble components of ambient PM2.5 over Xi'an, China:Pollution levels, source apportionment and transport pathways [J].Environment International, 2020,136:105515.
[5]	Cao W, Wang X, Li J L, et al.NLRP3 inflammasome activation determines the fibrogenic potential of PM2.5 air pollution particles in the lung [J].Journal of Environment Sciences, 2022,111:429-441.
[6]	Fang T, Verma V, Bates J T, et al.Oxidative potential of ambient water-soluble PM2.5 in the southeastern United States:contrasts in sources and health associations between ascorbic acid (AA) and dithiothreitol (DTT) assays [J].Atmospheric Chemistry and Physics, 2016,16(6):3865-3879.
[7]	Liu Q Y, Lu Z J, Xiong Y, et al.Oxidative potential of ambient PM2.5 in Wuhan and its comparisons with eight areas of China [J].Science of the Total Environment, 2020,701:134844.
[8]	Lim C C, Thurston G D.Air pollution, oxidative stress, and diabetes:a life course epidemiologic perspective [J].Current Diabetes Reports, 2019,19(8):58.
[9]	Li Z, Tang Y Q, Song X, et al.Impact of ambient PM2.5 on adverse birth outcome and potential molecular mechanism [J].Ecotoxicology and Environment Safety, 2019,169:248-254.
[10]	Rich D Q, Zhang W J, Lin S, et al.Triggering of cardiovascular hospital admissions by source specific fine particle concentrations in urban centers of New York State [J].Environment International, 2019, 126:387-394.
[11]	Ma X Y, Nie D Y, Chen M D, et al.The relative contributions of different chemical components to the oxidative potential of ambient fine particles in Nanjing Area [J].International Journal of Environment Research and Public Health, 2021,18(6):2789.
[12]	Secrest M H, Schauer J J, Carter E M, et al.The oxidative potential of PM2.5 exposures from indoor and outdoor sources in rural China [J].Science of Total Environment, 2016,571:1477-1489.
[13]	Lin M F, Yu J Z.Assessment of oxidative potential by hydrophilic and hydrophobic fractions of water-soluble PM2.5 and their mixture effects [J].Environment Pollution, 2021,275:116616.
[14]	Gao J, Peng X, Chen G, et al.Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution [J].Science of Total Environment, 2016,542:162-71.
[15]	Liu L, Zhang L, Wen W, et al.Chemical composition, oxidative potential and identifying the sources of outdoor PM2.5 after the improvement of air quality in Beijing [J].Environmental Geochemistry Health, 2022,45(5):1537-1553.
[16]	薛文博,王金南,杨金田,等.国内外空气质量模型研究进展[J].环境与可持续发展, 2013,3:14-20.Xue Wenbo, Wang Jinnan, Yang Jintian, et al.Domestic and foreign research progress of air quality model [J].Environment and Sustainable Development, 2013,3:14-20.
[17]	Chen Q C, Wang M M, Wang Y Q, et al.Oxidative potential of water-soluble matter associated with chromophoric substances in PM2.5 over Xi'an, China [J].Environmental Science & Technology, 2019,53(15):8574-8584.
[18]	Moufarrej L, Courcot D, Ledoux F.Assessment of the PM2.5 oxidative potential in a coastal industrial city in Northern France:Relationships with chemical composition, local emissions and long range sources [J].Science of the Total Environment, 2020,748:141448.
[19]	Paatero P, Eberly S, Brown S G, et al.Methods for estimating uncertainty in factor analytic solutions [J].Atmospheric Measurement Techniques, 2014,7(3):781-97.
[20]	Paatero P, Tapper U.Positive matrix factorization:A non-negative factor model with optimal utilization of error estimates of data values [J].Environmetrics, 1994,5(2):111-26.
[21]	Paatero P.The multilinear engine-A table-driven, least squares program for solving multilinear problems, including then-way parallel factor analysis model [J].Journal of Computational and Graphical Statistics, 1999,8(4):854-88.
[22]	Yu S Y, Liu W J, Xu Y S, et al.Characteristics and oxidative potential of atmospheric PM2.5 in Beijing:Source apportionment and seasonal variation [J].Science of the Total Environment, 2019,650(Pt 1):277-287.
[23]	EPA Positive Matrix Factorization (PMF) 5.0 fundamentals and user guide.[S].US Environmental Protection Agency Ofce of Research and Development, 2014.
[24]	Zaveri R A, Peters L K.A new lumped structure photochemical mechanism for large-scale applications [J].Journal of Geophysical Research:Atmospheres, 1999,104(D23):30387-30415.
[25]	Nagar P K, Sharma M.A hybrid model to improve WRF-Chem performance for crop burning emissions of PM2.5 and secondary aerosols in North India [J].Urban Climate, 2022,41:101084.
[26]	Wen W, Guo C W, Ma X, et al.Impact of emission reduction on aerosol-radiation interaction during heavy pollution periods over Beijing-Tianjin-Hebei region in China [J].Journal of Environmental Sciences, 2020,95:2-13.
[27]	肖伟,何友江,孟凡,等.空气质量模型中大气化学机理的发展与比较[J].环境工程技术学报, 2018,8(1):12-22.Xiao W, He Y J, Meng F, et al.Development and comparison of atmospheric chemical mechanisms in air quality numerical model [J].Journal of Environmental Engineering Technology, 2018,8(1):12-22.
[28]	Wang J D, Zhao B, Wang S X, et al.Particulate matter pollution over China and the effects of control policies [J].Science of the Total Environment, 2017,584-585:426-47.
[29]	Wang S J, Zhou C S, Wang Z B, et al.The characteristics and drivers of fine particulate matter (PM2.5) distribution in China [J].Journal of Cleaner Production, 2017,142:1800-1809.
[30]	Wang X Q, Wei W, Cheng S Y, et al.Characteristics of PM2.5 and SNA components and meteorological factors impact on air pollution through 2013~2017 in Beijing, China [J].Atmospheric Pollution Research, 2019,10(6):1976-84.
[31]	Wang Z S, Zhang D W, Liu B X, et al.Analysis of chemical characteristics of PM2.5 in Beijing over a 1-year period [J].Journal of Atmospheric Chemistry, 2016,73(4):407-25.
[32]	Qi M X, Jiang L, Liu Y X, et al.Analysis of the characteristics and sources of carbonaceous aerosols in PM2.5 in the Beijing, Tianjin, and Langfang Region, China [J].International Journal of Environmental Research Public Health, 2018,15(7):1483.
[33]	王占山,张雯娴,安欣欣,等.2013~2014年北京市PM2.5有机碳、元素碳变化特征[J].环境科学与技术, 2016,39(5):157-161.Wang Z S, Zhang W X, An X X, et al.Variation characteristics of OC and EC in PM2.5 in Beijing during 2013~2014[J].Environment Science & Technology, 2016,39(5):157-61.
[34]	刘保献,张大伟,陈添,等.北京市PM2.5主要化学组分浓度水平研究与特征分析[J].环境科学学报, 2015,35(12):4053-60.Liu B X, Zhang D W, Chen T, et al.Characteristics and major chemical compositions of PM2.5 in Beijing [J].Acta Scientiae Circumstantiae, 2015,35(12):4053-60.
[35]	Liu L, Liu Y S, Wen W, et al.Source identification of trace elements in PM2.5 at a rural site in the North China Plain [J].Atmosphere, 2020,11(2):179.
[36]	Wahlin P, Berkowicz R, Palmgren F.Characterisation of traffic-generated particulate matter in Copenhagen [J].Atmospheric Environment, 2006,40(12):2151-2159.
[37]	Lin W L, Xu X B, Ma Z Q, et al.Characteristics and recent trends of sulfur dioxide at urban, rural, and background sites in north China:effectiveness of control measures [J].Journal of Environmental Sciences, 2012,24(1):34-49.
[38]	Yang H N, Chen J, Wen J J, et al.Composition and sources of PM2.5 around the heating periods of 2013 and 2014 in Beijing:Implications for efficient mitigation measures [J].Atmospheric Environment, 2016,124:378-386.
[39]	Zhao S M, Hu B, Gao W K, et al.Effect of the "coal to gas" project on atmospheric NOX during the heating period at a suburban site between Beijing and Tianjin [J].Atmospheric Research, 2020,241:104977.
[40]	Tahri M, Bounakhla M, Zghaïd M, et al.TXRF characterization and source identification by positive matrix factorization of airborne particulate matter sampled in Kenitra City (Morocco) [J].X-Ray Spectrometry, 2013,42(4):284-289.
[41]	Fan M Y, Zhang Y L, Lin Y C, et al.Specific sources of health risks induced by metallic elements in PM2.5 during the wintertime in Beijing, China [J].Atmospheric Environment, 2021,246:118112.
[42]	Pui D Y.H, Chen S C, Zuo Z L.PM2.5 in China:Measurements, sources, visibility and health effects, and mitigation [J].Particuology, 2014,13:1-26.
[43]	Yang X, Wang T, Xia M, et al.Abundance and origin of fine particulate chloride in continental China [J].Science of the Total Environment, 2018,624:1041-1051.
[44]	Rai P, Furger M, Slowik J G, et al.Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing [J].Environmental Pollution, 2021,278:116865.
[45]	Xie Y J.Yearly changes of the sulfate-nitrate-ammonium aerosols and the relationship with their precursors from 1999 to 2016 in Beijing [J].Environmental Science and Pollution Research, 2020,27(8):8350-8358.
[46]	游士兵,严研.逐步回归分析法及其应用[J].统计与决策, 2017, 14:31-35.You S B, Yan Y.Stepwise regression analysis and its application [J].Statistics & Decision, 2017,14:31-35.
[47]	刘继平.多元回归分析的逐步算法[J].浙江林学院学报, 1988, 5(2):206-213.Liu J P.Stepwise algorithm of multivariate regression analysis [J].Journal of Zhejiang Forestry College, 1988,5(2):206-213.