南京大气颗粒物化学组分的粒径分布和来源解析

doi:10.16258/j.cnki.1674-5906.2024.07.009

生态环境学报 ›› 2024, Vol. 33 ›› Issue (7): 1079-1088.DOI: 10.16258/j.cnki.1674-5906.2024.07.009

• 研究论文【环境科学】 • 上一篇下一篇

南京大气颗粒物化学组分的粒径分布和来源解析

卢睿霖¹^,²(), 曹芳¹^,²^,^*, 林煜棋¹^,², 吴长流¹^,², 章炎麟¹^,²

1.南京信息工程大学生态与应用气象学院，江苏南京 210044
2.南京信息工程大学气候与环境变化国际合作联合实验室/耶鲁大学-南京信息工程大学大气环境中心，江苏南京 210044

收稿日期:2024-04-22 出版日期:2024-07-18 发布日期:2024-09-04
通讯作者: *曹芳。
作者简介:卢睿霖（1999年生），男，硕士研究生，研究方向为大气化学。E-mail: relynlu@163.com
基金资助:
国家自然科学基金项目(42273087);国家自然科学基金项目(42192512);国家自然科学基金项目(42325304)

Size Distribution and Source Apportionment of Chemical Compositions in Nanjing Atmospheric Particulate Matter

LU Ruilin¹^,²(), CAO Fang¹^,²^,^*, LIN Yuqi¹^,², WU Changliu¹^,², ZHANG Yanlin¹^,²

1. School of Applied Meteorology Nanjing University of Information Science & Technology, Nanjing 210044, P. R. China
2. Atmospheric Environment Center/Joint Laboratory for International Cooperation on Climate and Environmental Change Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, P. R. China

Received:2024-04-22 Online:2024-07-18 Published:2024-09-04

摘要/Abstract

摘要：

大气颗粒物中化学组分的粒径分布与其来源、形成过程、环境及健康效应密切相关。而过去对不同季节颗粒物的粒径分布特征，以及不同来源对粗、细颗粒物的贡献的研究相对较少。于2022年12月（冬季）和2023年8月（夏季）在南京采集了大气分粒径颗粒物样品，分析了粗颗粒物（PM_2.1-10）和细颗粒物（PM_2.1）中碳质组分和主要水溶性无机离子的粒径分布和季节变化，运用正定矩阵因子分解模型（Positive Matrix Factorization，PMF）进行PM_2.1-10和PM_2.1的源解析。结果表明，在粒径分布特征上，冬夏两季有机碳（OC）、元素碳（EC）、水溶性有机碳（WSOC）的平均浓度呈双峰型分布。SO₄²⁻和NO₃⁻的季节平均浓度均为双峰型分布。NH₄⁺主要分布在细颗粒物中，季节平均浓度呈单峰型分布，冬夏季均在0.43－0.65μm出现峰值。在季节变化上，颗粒物中除Na⁺和SO₄²⁻外的主要化学组分浓度均在冬季高于夏季。冬夏两季Ca²⁺、Mg²⁺主要集中在粗颗粒物中。根据PMF模型解析结果，南京大气颗粒物主要有4类来源贡献，即交通源、二次生成、生物质燃烧和扬尘源。PM_2.1主要来自二次生成和生物质燃烧源，冬夏季分别贡献了65.7%和61.0%，其中冬季生物质燃烧和二次硝酸盐的贡献占主导地位，而夏季主要来自二次硫酸盐的贡献。冬季PM_2.1-10主要来自交通源（41.8%），夏季则主要来自生物质燃烧和硝酸盐的二次生成贡献（43.9%）。研究探讨了大气颗粒物的化学组分的粒径分布特征、季节差异及来源，可为制定有针对性的大气污染防控措施提供科学依据。

关键词: 大气颗粒物, 碳质气溶胶, 水溶性离子, 粒径分布, 季节差异, 正定矩阵因子分解模型

Abstract:

The size distribution of the chemical components of particulate matter in the atmosphere is closely related to its source, formation process, environment, and health effects. There are relatively few studies on the characteristics of the particle size distribution of particulate matter in different seasons and the contribution of different sources to coarse and fine particulate matter. Size-resolved aerosol samples were collected in Nanjing during December 2022 (winter) and August 2023 (summer). Samples of coarse and fine particulate matter (PM_2.1-10, PM_2.1) were further analyzed for their carbonaceous compositions and water-soluble inorganic ions. The size distributions and seasonal variations of all the species were characterized. The potential sources of aerosols were quantified using the positive matrix factorization (PMF) model. The results showed that organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) had bimodal distributions in both seasons. Both SO₄²⁻ and NO₃⁻ showed a bimodal distribution during the warm and cold seasons. NH₄⁺ exhibited a unimodal distribution, peaking at 0.43-0.65 μm in both seasons. Regarding the seasonal variation, the concentrations of the main chemical species were higher in winter, with the exception of Na⁺ and SO₄²⁻. Markers of crustal materials, such as Ca²⁺ and Mg²⁺, were mainly found in the coarse mode during summer and winter. Finally, four emission sources were resolved using the PMF model. The results showed that secondary aerosols and biomass burning were the dominant sources of PM_2.1, accounting for 65.7% and 61.0% in winter and summer, respectively. Biomass burning and secondary nitrate dominated PM_2.1 pollution in winter, while secondary sulfate was a major source in summer. For PM_2.1-10, traffic emissions were a major source in winter, with a share of 41.8%. In contrast, biomass burning and secondary nitrate were the main sources of PM_2.1-10 in the summer, contributing approximately 43.9% of the PM_2.1-10 masses. This study investigated the characteristics of the particle size distribution, seasonal variations, and sources of the chemical components of particulate matter, which can provide a scientific basis for the effective prevention and control of air pollution.

Key words: atmospheric particulate matter, carbonaceous aerosol, water-soluble ions, size distribution, seasonal variation, positive matrix factorization

中图分类号:

X131.1
X16

卢睿霖, 曹芳, 林煜棋, 吴长流, 章炎麟. 南京大气颗粒物化学组分的粒径分布和来源解析[J]. 生态环境学报, 2024, 33(7): 1079-1088.

LU Ruilin, CAO Fang, LIN Yuqi, WU Changliu, ZHANG Yanlin. Size Distribution and Source Apportionment of Chemical Compositions in Nanjing Atmospheric Particulate Matter[J]. Ecology and Environment, 2024, 33(7): 1079-1088.

图/表 7

参考文献 68

[1]	AGGARWAL S G, KAWAMURA K, 2009. Carbonaceous and inorganic composition in long-range transported aerosols over northern Japan: Implication for aging of water-soluble organic fraction[J]. Atmospheric Environment, 43(16): 2532-2540.
[2]	BOND T C, BERGSTROM R W, 2006. Light absorption by carbonaceous particles: An investigative review[J]. Aerosol science and technology, 40(1): 27-67.
[3]	CAO J J, WU F, CHOW J C, et al., 2005. Characterization and source apportionment of atmospheric organic and elemental carbon during fall and winter of 2003 in Xi’an, China[J]. Atmospheric Chemistry and Physics, 5(11): 3127-3137.
[4]	CHENG Y, ENGLING G, HE K B, et al., 2014. The characteristics of Beijing aerosol during two distinct episodes: Impacts of biomass burning and fireworks[J]. Environmental Pollution, 185: 149-157. DOI PMID
[5]	CHOW J C, WATSON J G, CHEN L W A, et al., 2004. Equivalence of elemental carbon by thermal/optical reflectance and transmittance with different temperature protocols[J]. Environmental Science & Technology, 38(16): 4414-4422.
[6]	CHOW J C, WATSON J G, LU Z, et al., 1996. Descriptive analysis of PM_2.5 and PM₁₀ at regionally representative locations during SJVAQS/ AUSPEX[J]. Atmospheric Environment, 30(12): 2079-2112.
[7]	DING X X, KONG L D, DU C T, et al., 2017. Long-range and regional transported size-resolved atmospheric aerosols during summertime in urban Shanghai[J]. Science of the total environment, 583: 334-343.
[8]	GAO Y, LEE S C, HUANG Y, et al., 2016. Chemical characterization and source apportionment of size-resolved particles in Hong Kong sub-urban area[J]. Atmospheric Research, 170: 112-122.
[9]	GENG G N, ZHANG Q, TONG D, et al., 2017. Chemical composition of ambient PM_2.5 over China and relationship to precursor emissions during 2005-2012[J]. Atmospheric Chemistry and Physics, 17(14): 9187-9203.
[10]	HAN Y M, CAO J J, CHOW J C, et al., 2009. Elemental carbon in urban soils and road dusts in Xi'an, China and its implication for air pollution[J]. Atmospheric Environment, 43(15): 2464-2470.
[11]	HUA Y, CHENG Z, WANG S X, et al., 2015. Characteristics and source apportionment of PM_2.5 during a fall heavy haze episode in the Yangtze River Delta of China[J]. Atmospheric Environment, 123(Part B): 380-391.
[12]	HUANG X F, YU J Z, HE L Y, et al., 2006. Water‐soluble organic carbon and oxalate in aerosols at a coastal urban site in China: Size distribution characteristics, sources, and formation mechanisms[J]. Journal of Geophysical Research: Atmospheres, 111(D22): D22212-1-D22212-11-0.
[13]	HUANG X F, YU J Z, 2008. Size distributions of elemental carbon in the atmosphere of a coastal urban area in South China: characteristics, evolution processes, and implications for the mixing state[J]. Atmospheric Chemistry and Physics, 8(19): 5843-5853.
[14]	HUANG X F, DAI J, ZHU Q, et al., 2019. Abundant biogenic oxygenated organic aerosol in atmospheric coarse particles: plausible sources and atmospheric implications[J]. Environmental Science & Technology, 54(3): 1425-1430.
[15]	JÖLLER M, BRUNNER T, OBERNBERGER I, 2007. Modeling of aerosol formation during biomass combustion for various furnace and boiler types[J]. Fuel Processing Technology, 88(11-12): 1136-1147.
[16]	KARANASIOU A A, SISKOS P A, ELEFTHERIADIS K, 2009. Assessment of source apportionment by Positive Matrix Factorization analysis on fine and coarse urban aerosol size fractions[J]. Atmospheric Environment, 43(21): 3385-3395.
[17]	LAN Z J, CHEN D L, LI X, et al., 2011. Modal characteristics of carbonaceous aerosol size distribution in an urban atmosphere of South China[J]. Atmospheric Research, 100(1): 51-60.
[18]	LIU Y, WU L, HUANG S, et al., 2023. Sources, size-resolved deposition in the human respiratory tract and health risks of submicron black carbon in urban atmosphere in Pearl River Delta, China[J]. Science of the total environment, 891: 164391.
[19]	MASRI S, KANG C M, KOUTRAKIS P, 2015. Composition and sources of fine and coarse particles collected during 2002-2010 in Boston, MA[J]. Journal of the Air & Waste Management Association, 65(3): 287-297.
[20]	MILFORD J B, DAVIDSON C I, 1987. The sizes of particulate sulfate and nitrate 1B the atmopshere: A review[J]. Journal of the Air & Waste Management Association, 37(2): 125-134.
[21]	PAN Y P, WANG Y S, 2014. Atmospheric wet and dry deposition of trace elements at ten sites in Northern China[J]. Atmospheric Chemistry and Physics, 14(14): 20647-20676.
[22]	PANT P, HARRISON R M, 2012. Critical review of receptor modelling for particulate matter: A case study of India[J]. Atmospheric Environment. 49: 1-12.
[23]	PARK J, JANG M, YU Z, 2017. Heterogeneous photo-oxidation of SO₂ in the presence of two different mineral dust particles: Gobi and Arizona dust[J]. Environmental Science & Technology, 51(17): 9605-9613.
[24]	PAULOT F, PAYNTER D, GINOUX P, et al., 2017. Gas-aerosol partitioning of ammonia in biomass burning plumes: Implications for the interpretation of spaceborne observations of ammonia and the radiative forcing of ammonium nitrate[J]. Geophysical Research Letters, 44(15): 8084-8093.
[25]	QIAO B Q, CHEN Y, TIAN M, et al., 2019. 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, 650(Part 2): 2605-2613.
[26]	REN Y Q, WANG G H, WU C, et al., 2017. Changes in concentration, composition and source contribution of atmospheric organic aerosols by shifting coal to natural gas in Urumqi[J]. Atmospheric Environment, 148: 306-315.
[27]	SCHAUER J J, KLEEMAN M J, CASS G R, et al., 2001. Measurement of emissions from air pollution sources. 3. C₁-C₂₉ organic compounds from fireplace combustion of wood[J]. Environmental Science & Technology, 35(9): 1716-1728.
[28]	SEINFELD J H, CARMICHAEL G R, ARIMOTO R, et al., 2004. ACE-ASIA: Regional climatic and atmospheric chemical effects of Asian dust and pollution[J]. Bulletin of the American Meteorological Society, 85(3): 367-380.
[29]	SHAO P Y, TIAN H Z, SUN Y J, et al., 2018. Characterizing remarkable changes of severe haze events and chemical compositions in multi-size airborne particles (PM₁, PM_2.5 and PM₁₀) from January 2013 to 2016-2017 winter in Beijing, China[J]. Atmospheric Environment, 189: 133-144.
[30]	SULLIVAN R C, GUAZZOTTI S A, SODEMAN D A, PRATHER K, 2007. Direct observations of the atmospheric processing of Asian mineral dust[J]. Atmospheric Chemistry and Physics, 7(5): 1213-1236.
[31]	TANG X, ZHANG X S, WANG Z W, et al., 2016. Water-soluble organic carbon (WSOC) and its temperature-resolved carbon fractions in atmospheric aerosols in Beijing[J]. Atmospheric Research, 181: 200-210.
[32]	TAO Y, YIN Z, YE X N, et al., 2014. Size distribution of water-soluble inorganic ions in urban aerosols in Shanghai[J]. Atmospheric Pollution Research, 5(4): 639-647.
[33]	TIAN S L, PAN Y P, LIU Z R, et al., 2014. Size-resolved aerosol chemical analysis of extreme haze pollution events during early 2013 in urban Beijing, China[J]. Journal of Hazardous Materials, 279: 452-460. DOI PMID
[34]	TIAN S L, PAN Y P, WANG Y S, 2016. Size-resolved source apportionment of particulate matter in urban Beijing during haze and non-haze episodes[J]. Atmospheric Chemistry and Physics, 16(1): 1-19.
[35]	TIAN Y Z, HARRISON R M, FENG Y C, et al., 2021. Size-resolved source apportionment of particulate matter from a megacity in northern China based on one-year measurement of inorganic and organic components[J]. Environmental Pollution, 289: 117932.
[36]	TIAN Y Z, SHI G L, HAN S Q, et al., 2013. Vertical characteristics of levels and potential sources of water-soluble ions in PM₁₀ in a Chinese megacity[J]. Science of the total environment, 447: 1-9.
[37]	TREBS I, METZGER S, MEIXNER F X, et al., 2005. The NH₄⁺‐NO₃^-‐Cl^-‐SO₄^2-‐H₂O aerosol system and its gas phase precursors at a pasture site in the Amazon Basin: How relevant are mineral cations and soluble organic acids?[J]. Journal of Geophysical Research: Atmospheres, 110(D7): JD005478.
[38]	WANG G H, ZHOU B H, CHENG C L, et al., 2013. Impact of Gobi desert dust on aerosol chemistry of Xi’an, inland China during spring 2009: differences in composition and size distribution between the urban ground surface and the mountain atmosphere[J]. Atmospheric Chemistry and Physics, 13(2): 819-835.
[39]	WATSON J G, CHOW J C, LOWENTHAL D H, et al., 1994. Differences in the carbon composition of source profiles for diesel-and gasoline-powered vehicles[J]. Atmospheric Environment, 28(15): 2493-2505.
[40]	WU H, CHEN P L, WANG T J, et al., 2022. Characteristics and Source Apportionment of Size-Fractionated Particulate Matter at Ground and above the Urban Canopy (380 m) in Nanjing, China[J]. Atmosphere, 13(6): 883.
[41]	XIE M J, FENG W, HE S Y, et al., 2022. Seasonal variations, temperature dependence, and sources of size-resolved PM components in Nanjing, east China[J]. Journal of Environmental Sciences, 121: 175-186. DOI PMID
[42]	XIU G L, ZHANG D N, CHEN J Z, et al., 2004. Characterization of major water-soluble inorganic ions in size-fractionated particulate matters in Shanghai campus ambient air[J]. Atmospheric Environment, 38(2): 227-236.
[43]	YAN C Q, ZHENG M, SULLIVAN A P, et al., 2015. Chemical characteristics and light-absorbing property of water-soluble organic carbon in Beijing: Biomass burning contributions[J]. Atmospheric Environment, 121: 4-12.
[44]	YANG L, SHANG Y, HANNIGAN M P, et al., 2021. Collocated speciation of PM_2.5 using tandem quartz filters in northern Nanjing, China: Sampling artifacts and measurement uncertainty[J]. Atmospheric Environment, 246: 118066.
[45]	YU Y Y, DING F, MU Y F, et al., 2020. High time-resolved PM_2.5 composition and sources at an urban site in Yangtze River Delta, China after the implementation of the APPCAP[J]. Chemosphere, 261: 127746.
[46]	ZHANG X Y, ZHAO X, JI G X, et al., 2019. Seasonal variations and source apportionment of water-soluble inorganic ions in PM_2.5 in Nanjing, a megacity in southeastern China[J]. Journal of Atmospheric Chemistry, 76(1): 73-88.
[47]	ZHAO P S, DONG F, HE D, et al., 2013. Characteristics of concentrations and chemical compositions for PM_2.5 in the region of Beijing, Tianjin, and Hebei, China[J]. Atmospheric Chemistry and Physics, 13(9): 4631-4644.
[48]	ZHAO Z Y, CAO F, FAN M Y, et al., 2020. Coal and biomass burning as major emissions of NO_x in Northeast China: Implication from dual isotopes analysis of fine nitrate aerosols[J]. Atmospheric Environment, 242: 117762.
[49]	ZHENG B, TONG D, LI M, et al., 2018. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions[J]. Atmospheric Chemistry and Physics, 18(19): 14095-14111.
[50]	曹芳, 张艺璇, 章炎麟, 等, 2019. TD-GCMS测定分粒径气溶胶样品上非极性有机物的进样方法[P]. CN201910680947.4, 2019-10-18.
	CAO F, ZHANG Y X, ZHANG Y L, et al., 2019. TD-GCMS injection method for the determination of nonpolar organic matter on fractionated aerosol samples [P]. CN201910680947.4, 2019-10-18.
[51]	高丽波, 王体健, 崔金梦, 等, 2019. 2016年夏季南京大气污染特征观测分析[J]. 中国环境科学, 39(1): 1-12.
	GAO L B, WANG T J, CUI J M, et al., 2019. Observation and analysis of the characteristics of air pollution in Nanjing in summer 2016[J]. China Environmental Science, 39(1): 1-12.
[52]	耿冠楠, 肖清扬, 郑逸璇, 等, 2020. 实施《大气污染防治行动计划》对中国东部地区PM_2.5化学成分的影响[J]. 中国科学: 地球科学, 50(4): 469-482.
	GENG G N, XIAO Q Y, ZHENG Y X, et al., 2020. Impact of China’s Air Pollution Prevention and Control Action Plan on PM_2.5 chemical composition over eastern China[J]. Science China Earth Sciences, 50(4): 469-482.
[53]	郭子雍, 阳宇翔, 彭龙, 等, 2021. 广州地区不同粒径段大气颗粒物中水溶性有机碳的吸光贡献[J]. 中国环境科学, 41(2): 497-504.
	GUO Z Y, YANG Y X, PENG L, et al., 2021. The size-resolved light absorption contribution of water soluble organic carbon in the atmosphere of Guangzhou[J]. China Environmental Science, 41(2): 497-504.
[54]	韩力慧, 王红梅, 向欣, 等, 2019. 北京市典型区域降水特性及其对细颗粒物影响[J]. 中国环境科学, 39(9): 3635-3646.
	HAN L H, WANG H M, XIANG X, et al., 2019. The characteristics of precipitation and its impact on fine particles at a representative region in Beijing[J]. China Environmental Science, 39(9): 3635-3646.
[55]	郝娇, 葛颖, 何书言, 等, 2018. 南京市秋季大气颗粒物中金属元素的粒径分布[J]. 中国环境科学, 38(12): 4409-4414.
	HAO J, GE Y, HE S Y, et al., 2018. Size distribution characteristics of metal elements in air particulate matter during autumn in Nanjing[J]. China Environmental Science, 38(12): 4409-4414.
[56]	黄欢, 毕新慧, 彭龙, 等, 2016. 广州城区秋冬季大气颗粒物中WSOC吸光性研究[J]. 环境科学, 37(1): 16-21.
	HUANG H, BI X H, PENG L, et al., 2016. Light absorption properties of water-soluble organic carbon (WSOC) associated with particles in autumn and winter in the urban area of Guangzhou[J]. Environmental Science, 37(1): 16-21.
[57]	黄柯, 刘刚, 周丽敏, 等, 2015. 森林生物质燃烧烟尘中的有机碳和元素碳[J]. 环境科学, 36(6): 1998-2004.
	HUANG K, LIU G, ZHOU L M, et al., 2015. Organic carbon and elemental carbon in forest biomass burning smoke[J]. Environmental Science, 36(6): 1998-2004.
[58]	李昌龙, 王静怡, 苗新慧, 等, 2018. 徐州市冬季PM_2.5中碳质组分和水溶性离子特征分析[J]. 环境科技, 31(2): 23-28.
	LI C L, WANG J Y, MIAO X H, et al., 2018. Characteristics of carbon and water-soluble ions of PM_2.5 in winter of Xuzhou City[J]. Environmental Science and Technology, 31(2): 23-28.
[59]	鲁慧莹, 彭龙, 张国华, 等, 2019. 广州大气颗粒物水溶性有机氮的粒径分布特征和来源分析[J]. 地球化学, 48(1): 57-66.
	LU H Y, PENG L, ZHANG G H, et al., 2019. Size distribution and sources of water-soluble organic nitrogen associated with atmospheric particles in Guangzhou[J]. Geochimica, 48(1): 57-66.
[60]	施双双, 王红磊, 朱彬, 等, 2017. 冬季临安大气本底站气溶胶来源解析及其粒径分布特征[J]. 环境科学, 38(10): 4024-4033.
	SHI S S, WANG H L, ZHU B, et al., 2017. Source apportionment and size distribution of aerosols at Lin’an atmosphere regional background station during winter[J]. Environmental Science, 38(10): 4024-4033.
[61]	孙有昌, 姜楠, 王申博, 等, 2020. 安阳市大气PM_2.5中水溶性离子季节特征及来源解析[J]. 环境科学, 41(1): 75-81.
	SUN Y C, JIANG N, WANG S B, et al., 2020. Seasonal characteristics and source analysis of water-soluble ions in PM_2.5 of Anyang City[J]. Environmental Science, 41(1): 75-81.
[62]	王牧青, 2022. 新冠疫情对浙江省用电的影响——基于区县数据的视角[D]. 成都: 西南财经大学.
	WANG M Q, 2022. Impact of the COVID-19 on electricity consumption in Zhejiang Province: A perspective based on district and county data[D]. Chengdu: Southwestern University of Finance and Economics.
[63]	王伟, 2017. 南京市大气PM_2.5中重金属元素时空分布、来源及健康风险评价[D]. 南京: 南京信息工程大学.
	WANG W, 2017. Spatial-temporal variation, sources and risk assessment of heavy metals in ambient PM_2.5 of Nanjing[D]. Nanjing: Nanjing University of Information Science and Technology.
[64]	吴丹, 沈开源, 盖鑫磊, 等, 2017. 南京北郊大气气溶胶中水溶性有机碳 (WSOC) 的污染特征[J]. 中国环境科学, 37(9): 3237-3246.
	WU D, SHEN K Y, GAI X L, et al., 2017. Characteristics of water- soluble organic carbon (WSOC) in atmospheric particulate matter at northern suburb of Nanjing[J]. China Environmental Science, 37(9): 3237-3246.
[65]	薛国强, 朱彬, 王红磊, 2014. 南京市大气颗粒物中水溶性离子的粒径分布和来源解析[J]. 环境科学, 35(5): 1633-1643.
	XUE G Q, ZHU B, WANG H L, 2014. Size distributions and source apportionment of soluble ions in aerosol in Nanjing[J]. Environmental Science, 35(5): 1633-1643.
[66]	张毓秀, 于兴娜, 刘偲嘉, 等, 2020. 南京江北新区大气颗粒物化学组分的粒径分布特征[J]. 环境科学, 41(11): 4803-4812.
	ZHANG Y X, YU X N, LIU S J, et al., 2020. Size distribution of particulate chemical components in Nanjing Jiangbei new area[J]. Environmental Science, 41(11): 4803-4812.
[67]	张园园, 2017. 南京北郊PM_2.5中水溶性离子特征在线监测研究[D]. 南京: 南京信息工程大学.
	ZHANG Y Y, 2017. Charadteristic of water-soluble ions in PM_2.5 in the northern suburb of Nanjing based on on-line monitoring[D]. Nanjing: Nanjing University of Information Science and Technology.
[68]	郑龙飞, 2016. 南京地区细颗粒物污染特征及灰霾事件成因研究[D]. 济南: 山东大学.
	ZHENG L F, 2016. Atmospheric fine particles and haze pollutions in Nanjing[D]. Ji’nan: Shandong University.

采样时间	气温/℃	相对湿度/%	气压/hPa	风向	风速/(m∙s⁻¹)	ρ_(PM2.5)/(μg∙m⁻³)	ρ_(O2)/(μg∙m⁻³)	能见度/km
8.3‒8.5	31	69	1000	东北风	5.1	12.46	60.26	21.6
8.7‒8.9	29	85	997	西北风	4.6	14.46	79.98	9.0
8.9‒8.11	29	66	1000	北风	4.3	20.85	114.88	13.8
8.24‒8.25	30	53	1004	微风	3.2	22.69	120.60	15.9
8.30‒9.1	23	88	1007	微风	1.4	13.80	77.81	17.6
12.17‒12.19	0	54	1033	西南风	5.2	18.46	47.29	10.4
12.19‒12.21	5	41	1022	南风	4.8	38.08	33.06	12.5
12.21‒12.23	7	36	1015	西风	9.5	29.63	64.91	8.0
12.23‒12.25	3	15	1022	南风	5.1	25.46	56.57	22.8

采样时间	气温/℃	相对湿度/%	气压/hPa	风向	风速/(m∙s⁻¹)	ρ_(PM2.5)/(μg∙m⁻³)	ρ_(O2)/(μg∙m⁻³)	能见度/km
8.3‒8.5	31	69	1000	东北风	5.1	12.46	60.26	21.6
8.7‒8.9	29	85	997	西北风	4.6	14.46	79.98	9.0
8.9‒8.11	29	66	1000	北风	4.3	20.85	114.88	13.8
8.24‒8.25	30	53	1004	微风	3.2	22.69	120.60	15.9
8.30‒9.1	23	88	1007	微风	1.4	13.80	77.81	17.6
12.17‒12.19	0	54	1033	西南风	5.2	18.46	47.29	10.4
12.19‒12.21	5	41	1022	南风	4.8	38.08	33.06	12.5
12.21‒12.23	7	36	1015	西风	9.5	29.63	64.91	8.0
12.23‒12.25	3	15	1022	南风	5.1	25.46	56.57	22.8

组分种类	冬季			夏季
组分种类	PM_2.1	PM_2.1-10	PM_total	PM_2.1	PM_2.1-10	PM_total
OC	7.82±2.64	6.73±1.94	14.55±3.46	7.29±0.92	4.93±0.69	12.22±1.22
EC	3.22±1.07	2.80±0.63	6.02±0.63	1.68±0.36	1.78±0.69	3.47±0.97
WSOC	7.19±1.98	5.54±0.74	12.72±2.04	3.03±0.94	2.44±0.89	5.47±1.74
OC/EC	2.54±0.74	2.56±0.96	2.45±0.64	4.42±0.55	3.16±1.10	3.72±0.77
Na⁺	0.99±0.50	1.71±0.30	2.70±0.56	1.98±0.57	2.68±1.41	4.66±1.80
NH₄⁺	2.69±0.97	0.11±0.05	2.80±0.94	1.57±0.52	0.11±0.07	1.68±0.57
K⁺	0.96±0.66	0.25±0.14	1.95±1.89	0.26±0.15	0.37±0.24	0.63±0.32
Mg²⁺	0.02±0.00	0.14±0.08	0.15±0.08	0.05±0.02	0.07±0.04	0.12±0.06
Ca²⁺	0.27±0.03	1.64±0.80	1.91±0.82	0.47±0.22	0.86±0.80	1.33±1.01
F⁻	0.09±0.02	0.19±0.10	0.28±0.09	0.05±0.01	0.10±0.06	0.15±0.06
Cl⁻	1.12±0.27	1.00±0.71	2.12±0.50	0.39±0.12	0.83±0.46	1.22±0.57
NO₃⁻	4.69±2.18	1.01±0.29	5.70±2.12	0.88±0.59	1.98±0.79	2.86±1.11
SO₄²⁻	1.78±0.31	1.24±0.31	3.02±0.40	3.84±0.90	0.99±0.22	4.82±0.78

组分种类	冬季			夏季
组分种类	PM_2.1	PM_2.1-10	PM_total	PM_2.1	PM_2.1-10	PM_total
OC	7.82±2.64	6.73±1.94	14.55±3.46	7.29±0.92	4.93±0.69	12.22±1.22
EC	3.22±1.07	2.80±0.63	6.02±0.63	1.68±0.36	1.78±0.69	3.47±0.97
WSOC	7.19±1.98	5.54±0.74	12.72±2.04	3.03±0.94	2.44±0.89	5.47±1.74
OC/EC	2.54±0.74	2.56±0.96	2.45±0.64	4.42±0.55	3.16±1.10	3.72±0.77
Na⁺	0.99±0.50	1.71±0.30	2.70±0.56	1.98±0.57	2.68±1.41	4.66±1.80
NH₄⁺	2.69±0.97	0.11±0.05	2.80±0.94	1.57±0.52	0.11±0.07	1.68±0.57
K⁺	0.96±0.66	0.25±0.14	1.95±1.89	0.26±0.15	0.37±0.24	0.63±0.32
Mg²⁺	0.02±0.00	0.14±0.08	0.15±0.08	0.05±0.02	0.07±0.04	0.12±0.06
Ca²⁺	0.27±0.03	1.64±0.80	1.91±0.82	0.47±0.22	0.86±0.80	1.33±1.01
F⁻	0.09±0.02	0.19±0.10	0.28±0.09	0.05±0.01	0.10±0.06	0.15±0.06
Cl⁻	1.12±0.27	1.00±0.71	2.12±0.50	0.39±0.12	0.83±0.46	1.22±0.57
NO₃⁻	4.69±2.18	1.01±0.29	5.70±2.12	0.88±0.59	1.98±0.79	2.86±1.11
SO₄²⁻	1.78±0.31	1.24±0.31	3.02±0.40	3.84±0.90	0.99±0.22	4.82±0.78

离子种类	夏季		冬季
离子种类	PM_2.1	PM_2.1-10	PM_2.1	PM_2.1-10
NH₄⁺-NO₃⁻	0.098	0.166	0.984^**	0.111
NH₄⁺-SO₄²⁻	0.986^{** 2)}	−0.475^{* 1)}	0.801^**	0.050
Na⁺-NO₃⁻	0.743^**	0.049	0.018	0.218
K⁺-NO₃⁻	0.667^**	0.535^**	−0.017	−0.136
NH₄⁺-(NO₃⁻+SO₄²⁻)	0.956^**	0.015	0.979^**	0.111
(NH₄⁺+Ca²⁺)-(NO₃⁻+SO₄²⁻)	0.933^**	0.377	0.986^**	0.827^**
Na⁺-Cl⁻	0.054	0.313	0.155	0.634^*
K⁺-Cl⁻	−0.243	−0.174	0.241	0.036
Ca²⁺-NO₃⁻	−0.363	0.429^*	−0.183	0.718^**

南京大气颗粒物化学组分的粒径分布和来源解析

Size Distribution and Source Apportionment of Chemical Compositions in Nanjing Atmospheric Particulate Matter

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