安阳北部郊区PM<sub>2.5</sub>中水溶性无机离子季节变化、来源特征及其消光贡献

杨志轩; 李岚清; 刘桓嘉; 杨莹; 许梦源; 贾梦珂; 刘恒志

doi:10.13205/j.hjgc.202406009

安阳北部郊区PM_2.5中水溶性无机离子季节变化、来源特征及其消光贡献

doi: 10.13205/j.hjgc.202406009

1. 河南省安阳生态环境监测中心, 河南安阳 455000;
2. 河南师范大学环境学院黄淮水环境污染与防治教育部重点实验室河南省环境污染控制重点实验室, 河南新乡 453007

基金项目:

河南省科技攻关项目(222102320394)

国家自然科学基金项目(42007204)

河南省博士后科研资助项目(HN2022023)

详细信息

作者简介:
杨志轩(1965-),男,本科,高级工程师,主要研究方向为环境监测与分析。ayycyb318@163.com

通讯作者:
刘桓嘉(1987-),男,博士,讲师,主要研究方向为大气颗粒物及其化学组分来源解析及二次气溶胶形成机制。liuhuanjia@htu.edu.cn

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出版历程
- 收稿日期: 2023-07-04
- 网络出版日期: 2024-07-11

SEASONAL VARIATION, SOURCE AND LIGHT EXTINCTION CONTRIBUTION OF WATER-SOLUBLE INORGANIC IONS OF PM_2.5 IN THE NORTHERN SUBURB OF ANYANG, CHINA

1. Anyang Ecology and Environmental Monitoring Center of Henan Province, Anyang 455000, China;
2. Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China

摘要

摘要: 为探究安阳市北部郊区PM_2.5中水溶性无机离子(WSIIs)的季节变化、来源特征及其消光贡献,于2018年3月—2019年2月对PM_2.5中化学组分及气态污染物进行在线观测。结果表明:PM_2.5及WSIIs年均浓度分别为(76.68±73.00),(45.60±34.17) μg/m³,且二者均呈冬季浓度最高,夏季最低的趋势。不同季节铵盐的存在形式主要为(NH₄)₂SO₄、NH₄NO₃和NH₄Cl。PMF源解析结果表明,二次硝酸盐、二次硫酸盐、扬尘源及燃烧源是WSIIs的主要来源。同时,基于改进的IMPROVE经验公式计算各组分的消光贡献,其结果显示二次离子组分(SNA)对大气消光的贡献超过67%。不利的气象条件下污染物的排放和积累是造成本地区冬季PM_2.5重污染的重要原因,同时,SNA尤其是SO^2-₄的迅速增加也会导致较高的PM_2.5浓度。因此,控制SNA浓度有利于降低大气PM_2.5浓度,同时也助于大气能见度的提升。
- PM_2.5 /
- 水溶性无机离子 /
- 季节变化 /
- 来源解析 /
- 消光系数
Abstract: Seasonal variation, source characteristics as well as light extinction contribution of water-soluble inorganic ions (WSIIs) in PM_2.5 were explored in the northern suburb of Anyang. Gaseous pollutants, PM_2.5 samples, and their chemical components were online monitored from March 2018 to February 2019. The results showed that the annual average concentrations of PM_2.5 and WSIIs were (76.68±73.00) μg/m³ and (45.60±34.17) μg/m³, respectively, which showed obvious seasonal variation with the maximum values in winter, and the minimum values in summer. NH⁺₄ most likely existed in the form of (NH₄)₂SO₄, NH₄NO₃, and NH₄Cl in four seasons at the observation sites. The main sources of WSIIs were secondary nitrate, secondary sulfate, dust, and combustion source by using positive matrix factorization (PMF). Furthermore, the revised IMPROVE algorithm was used to estimate the extinction coefficient (b_est). The results illustrated that the extinction contribution of SNA could reach 67%. Finally, typical pollution episodes were explored in winter in this study. Continuous emission and accumulation of pollutants under unfavorable metrological conditions was the major cause of the PM_2.5 pollution events at this site. Meanwhile, a rapid increase of SNA, especially SO^2-₄, can lead to higher PM_2.5 concentrations. Hence, the control of SNA is not only conducive to the reduction of regional PM_2.5 concentration, but also to improving atmospheric visibility.
- PM_2.5 /
- water soluble inorganic ions /
- seasonal variation /
- source analysis /
- light extinction coefficient

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参考文献(50)

[1]	ZHANG J, YUAN Q, LIU L, et al. Trans-regional transport of haze particles from the North China Plain to Yangtze River Delta during winter[J]. Journal of Geophysical Research: Atmospheres, 2021, 126(8): e2020JD033778.
[2]	LIAO W J, ZHOU J B, ZHU S J, et al. Characterization of aerosol chemical composition and the reconstruction of light extinction coefficients during winter in Wuhan, China[J]. Chemosphere, 2020, 241:125033.
[3]	XUE T, TONG M K, LI J, et al. Estimation of stillbirths attributable to ambient fine particles in 137 countries[J]. Nature Communications, 2022, 13(1): 34250-34254.
[4]	LIU C, CHEN R, SERA F, et al. Ambient particulate air pollution and daily mortality in 652 Cities[J]. New England Journal of Medicine, 2019, 381(8): 705-715.
[5]	HARMSEN M, van DORST P, van VUUREN D P, et al. Co-benefits of black carbon mitigation for climate and air quality[J]. Climatic Change, 2020, 163(3): 1519-1538.
[6]	LIU H J, JIA M K, TAO J, et al. Elucidating pollution characteristics, temporal variation and source origins of carbonaceous species in Xinxiang, a heavily polluted city in North China[J]. Atmospheric Environment, 2023, 298: 119626.
[7]	李红亮, 陶杰, 李岚清, 等. 新乡市大气PM_2.5中水溶性离子污染特征及其来源解析[J]. 环境工程, 2023, 41(8): 117-126.
[8]	ZHAN Y ZH, XIE M, GAO D, et al. Characterization and source analysis of water-soluble inorganic ionic species in PM_2.5 during a wintertime particle pollution episode in Nanjing, China[J]. Atmospheric Research, 2021, 262:105769.
[9]	SUN Y L, CHEN C, ZHANG Y J, et al. Rapid formation and evolution of an extreme haze episode in Northern China during winter 2015[J]. Scientific Reports, 2016, 6: 27151.
[10]	周变红, 冯瞧, 王锦, 等. 宝鸡市城郊冬季水溶性离子在不同等级污染天的特征及来源分析[J]. 环境化学, 2021, 40(9): 2296-2808.
[11]	LIU H J, TIAN H Z, ZHANG K, et al. Seasonal variation, formation mechanisms and potential sources of PM_2.5 in two typical cities in the Central Plains Urban Agglomeration, China[J]. Science of the Total Environment, 2019, 657:657-670.
[12]	LIU J, WU D, FAN S J, et al. A one-year, on-line, multi-site observational study on water-soluble inorganic ions in PM_2.5 over the Pearl River Delta region, China[J]. Science of the Total Environment, 2017, 601/602:1720-1732.
[13]	陈耶沙, 叶芝祥, 袁小燕, 等. 2018年成都市PM_2.5中水溶性无机离子污染特征及来源解析[J]. 环境化学, 2022, 41(6): 2062-2074.
[14]	QIAO B Q, CHEN Y, TIAN M, et al. Characterization of water soluble inorganic ions and their evolution processes during PM_2.5 pollution episodes in a small city in southwest China[J]. Science of the Total Environment, 2019, 650: 2605-2613.
[15]	吴丹, 蔺少龙, 杨焕强, 等. 杭州市PM_2.5中水溶性离子的污染特征及其消光贡献[J]. 环境科学, 2017, 38(7): 2656-2666.
[16]	WU C, WU D, YU J Z. Estimation and uncertainty analysis of secondary organic carbon using 1 year of hourly organic and elemental carbon data[J]. Journal of Geophysical Research: Atmospheres, 2019, 124(5): 2774-2795.
[17]	DU T, WANG M, GUAN X, et al. Characteristics and formation mechanisms of winter particulate pollution in Lanzhou, Northwest China[J]. Journal of Geophysical Research: Atmospheres, 2020, 125(18): e2020JD033369.
[18]	TEN BRINK H, OTJES R, WEIJERS E. Extreme levels and chemistry of PM from the consumer fireworks in the Netherlands[J]. Atmospheric Environment, 2019, 212: 36-40.
[19]	RUMSEY I C, COWEN K A, WALKER J T, et al. An assessment of the performance of the Monitor for AeRosols and GAses in ambient air (MARGA): a semi-continuous method for soluble compounds[J]. Atmospheric Chemistry and Physics, 2014, 14(11): 5639-5658.
[20]	MAKKONEN U, VIRKKULA A, MÄNTYKENTTÄ J, et al. Semi-continuous gas and inorganic aerosol measurements at a Finnish urban site: comparisons with filters, nitrogen in aerosol and gas phases, and aerosol acidity[J]. Atmospheric Chemistry and Physics, 2012, 12(12): 5617-5631.
[21]	YANG J, LEI G, LIU C, et al. Characteristics of particulate-bound n-alkanes indicating sources of PM_2.5 in Beijing, China[J]. Atmospheric Chemistry and Physics, 2023, 23(5): 3015-3029.
[22]	梁越, 姜红, 李弘生, 等. 中部城市秋冬季PM_2.5水溶性离子的化学特征及来源[J]. 环境化学, 2022, 41(2): 470-481.
[23]	刘一鸣, 郑浩阳, 陈阁香, 等. 华南沿海地区夏初PM_2.5水溶性离子特征及来源解析[J]. 环境科学学报, 2023, 43(1): 237-246.
[24]	TIAN Y Z, ZHANG Y F, LIANG Y L, et al. PM_2.5 source apportionment during severe haze episodes in a Chinese megacity based on a 5-month period by using hourly species measurements: explore how to better conduct PMF during haze episodes[J]. Atmospheric Environment, 2020, 224:117364.
[25]	DAI Q L, LIU B S, BI X H, et al. Dispersion normalized PMF provides insights into the significant changes in source contributions to PM_2.5 after the COVID-19 outbreak[J]. Environmental Science & Technology, 2020, 54(16): 9917-9927.
[26]	LIU J W, CHEN Y J, CHAO S H, et al. Emission control priority of PM_2.5-bound heavy metals in different seasons: a comprehensive analysis from health risk perspective[J]. Science of the Total Environment, 2018, 644: 20-30.
[27]	程真. 长三角城市群灰霾污染与颗粒物理化性质的关系[D]. 北京:清华大学, 2013.
[28]	PITCHFORD M, MAIM W, SCHICHTEL B, et al. Revised algorithm for estimating light extinction from IMPROVE particle speciation data[J]. Journal of the Air & Waste Management Association, 2007, 57(11): 1326-1336.
[29]	WANG J J, LU X M, YAN Y T, et al. Spatiotemporal characteristics of PM_2.5 concentration in the Yangtze River Delta urban agglomeration, China on the application of big data and wavelet analysis[J]. Science of the Total Environment, 2020, 724: 138134.
[30]	任秀龙, 牛红亚, 李淑娇, 等. 邯郸市大气细颗粒物中水溶性离子的污染特征及来源解析[J]. 环境化学, 2021, 40(11): 3510-3519.
[31]	ZANG L, ZHANG Y, ZHU B, et al. Characteristics of water-soluble inorganic aerosol pollution and its meteorological response in Wuhan, Central China[J]. Atmospheric Pollution Research, 2021, 12(3): 362-369.
[32]	BAI L, LU X, YIN S S, et al. A recent emission inventory of multiple air pollutant, PM_2.5 chemical species and its spatial-temporal characteristics in central China[J]. Journal of Cleaner Production, 2020, 269:122114.
[33]	LIU T T, GONG S L, HE J J, et al. Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China’s Jing-Jin-Ji area[J]. Atmospheric Chemistry and Physics, 2017, 17(4): 2971-2980.
[34]	LIU H J, JIA M K, YOU K, et al. Elucidating the chemical compositions and source apportionment of multi-size atmospheric particulate (PM₁₀, PM_2.5 and PM₁) in 2019—2020 winter in Xinxiang, North China[J]. Atmosphere, 2022, 13(9): 13091400.
[35]	LIU T, CLEGG S L, ABBATT J P D. Fast oxidation of sulfur dioxide by hydrogen peroxide in deliquesced aerosol particles[J]. Proceedings of the Natinal Academy of Sciences of the United States of America, 2020, 117(3): 1354-1359.
[36]	YE C, LU K D, SONG H, et al. A critical review of sulfate aerosol formation mechanisms during winter polluted periods[J]. Journal of Environmental Sciences, 2023, 123: 387-399.
[37]	LIU H, WU B, LIU S, et al. A regional high-resolution emission inventory of primary air pollutants in 2012 for Beijing and the surrounding five provinces of North China[J]. Atmospheric Environment, 2018, 181: 20-33.
[38]	LIU L, XU W, LU X, et al. Exploring global changes in agricultural ammonia emissions and their contribution to nitrogen deposition since 1980[J]. Proceedings of the National Academy of Sciences, 2022, 119(14): e2121998119.
[39]	FENG S J, XU W, CHENG M M, et al. Overlooked nonagricultural and wintertime agricultural NH₃ emissions in Quzhou County, North China Plain: evidence from ¹⁵N-Stable Isotopes[J]. Environmental Science & Technology Letters, 2022, 9(2): 127-133.
[40]	CHEN Y, ZHANG Q R, CAI X R, et al. Rapid increase in China’s industrial ammonia emissions: evidence from unit-based mapping[J]. Environmental Science & Technology, 2022, 56(6): 3375-3385.
[41]	GU M N, PAN Y P, WALTERS W W, et al. Vehicular emissions enhanced ammonia concentrations in winter mornings: insights from diurnal nitrogen isotopic signatures[J]. Environmental Science & Technology, 2022, 56(3): 1578-1585.
[42]	WANG H B, TIAN M, CHEN Y, et al. Seasonal characteristics, formation mechanisms and source origins of PM_2.5 in two megacities in Sichuan Basin, China[J]. Atmospheric Chemistry and Physics, 2018, 18(2): 865-881.
[43]	王国祯, 任万辉, 于兴娜, 等. 沈阳市冬季大气PM_2.5中水溶性离子污染特征及来源解析[J]. 环境科学, 2021, 42(1): 30-37.
[44]	于谨铖, 李建熹, 苏枞枞, 等. 沈阳市大气PM_2.5中水溶性离子的季节变化特征[J]. 环境化学, 2021, 40(12): 3733-3742.
[45]	YU X N, MA J, AN J L, et al. Impacts of meteorological condition and aerosol chemical compositions on visibility impairment in Nanjing, China[J]. Journal of Cleaner Production, 2016, 131: 112-120.
[46]	WANG H B, SHI G M, TIAN M, et al. Aerosol optical properties and chemical composition apportionment in Sichuan Basin, China[J]. Science of the Total Environment, 2017, 577: 245-257.
[47]	VECCHI R, BERNARDONI V, VALENTINI S, et al. Assessment of light extinction at a European polluted urban area during wintertime: impact of PM₁ composition and sources[J]. Environmental Pollution, 2018, 233: 679-689.
[48]	CAO J J, WANG Q Y, CHOW J C, et al. Impacts of aerosol compositions on visibility impairment in Xi’an, China[J]. Atmospheric Environment, 2012, 59: 559-566.
[49]	KHANNA I, KHARE M, GARGAVA P, et al. Effect of PM_2.5 chemical constituents on atmospheric visibility impairment[J]. Journal of the Air & Waste Management Association, 2018, 68(5): 430-437.
[50]	TAN T Y, HU M, LI M R, et al. New insight into PM_2.5 pollution patterns in Beijing based on one-year measurement of chemical compositions[J]. Science of the Total Environment, 2018, 621: 734-743.