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引用本文:刘佳睿,王启元,张扬,张勇,李瑞,唐明金.2026.典型污染城市冬季大气PM2.5冰核影响因素及来源[J].地球环境学报,17(4):1055-1066
LIU Jiarui,WANG Qiyuan,ZHANG Yang,ZHANG Yong,LI Rui,TANG Mingjin.2026.Characterization of winter atmospheric PM2.5 ice nucleation and source in a typical polluted city[J].Journal of Earth Environment,17(4):1055-1066
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典型污染城市冬季大气PM2.5冰核影响因素及来源
刘佳睿1,2,王启元1,张扬1,张勇1,李瑞3,唐明金4
1.中国科学院地球环境研究所 黄土科学全国重点实验室,西安 710061 ;2.中国科学院大学,北京 100049 ;3.西安地球环境创新研究院,西安 710061 ;4.中国科学院广州地球化学研究所 先进环境装备与污染防治技术全国重点实验室,广州 510640
摘要:
由于气溶胶成分的复杂性和多样性,人为排放对城市环境中大气冰核(INPs)的影响仍然不明确,定量评估特定污染源对INPs贡献的研究面临挑战。文章在石家庄市重污染期间(2021年12月7日—2022年1月8日),通过浸没冻结法测量了大气冰核浓度(NINP),并探究了不同气溶胶成分和污染源对INPs形成的影响。观测期间,PM2.5日均质量浓度为(84.0±35.4) μg/m3。冰核测量结果显示,PM2.5样品的中位冻结温度(T50)平均值为(-15.0±1.3) ℃,NINP变化范围为0.0016—0.6721 L-1,最大差异达两个数量级。化学成分分析表明,在-15 ℃下,影响INP的主要化学成分是金属元素Ca、Ti和Fe(r=0.47—0.50,p<0.05);相比之下,水溶性离子(如SO 、NO 、NH 等)、有机物(OM)和元素碳(EC)与NINP无显著相关性。通过正定矩阵因子分解(PMF)模型和多元线性回归(MLR)进一步分析污染源贡献,结果显示,扬尘源(46.1%)是INP的主要贡献者,其次是机动车源(31.1%)和工业源(13.4%)。这一结果明确了扬尘和机动车排放对城市大气冰核的主导作用,为石家庄市制定针对性的污染控制策略提供了科学支持,同时也为深入理解城市大气中INP的来源及其气候效应提供了重要依据。
关键词:  PM2.5  冰核  影响因素  来源解析
DOI:10.7515/JEE2025019
CSTR:32259.14.JEE2025019
分类号:
文献标识码:A
基金项目:国家自然科学基金项目(42573086);中国科学院“西部之光-西部交叉团队”重点实验室专项(xbzg-zdsys-202219)
英文基金项目:
Characterization of winter atmospheric PM2.5 ice nucleation and source in a typical polluted city
LIU Jiarui1,2,WANG Qiyuan1,ZHANG Yang1,ZHANG Yong1,LI Rui3,TANG Mingjin4
1.State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061 , China ;2.University of Chinese Academy of Sciences, Beijing 100049 , China ;3.Xi’an Institute for Innovative Earth Environment Research, Xi’an 710061 , China ;4.State Key Laboratory of Advanced Environmental Technology, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640 , China
Abstract:

Background, aim, and scope Ice nucleating particles (INPs) play a crucial role in aerosol-cloud interactions and significantly influence cloud microphysical properties. Urban areas, with their high aerosol particle emissions, are recognized as important potential sources of INPs. However, due to the complex and diverse composition of aerosols, the impact of anthropogenic emissions on atmospheric INPs in urban environments remains poorly understood. Quantifying the contribution of specific pollution sources to INP activity presents a major challenge. This study aims to measure the ice nucleation activity and PM2.5 mass concentration of atmospheric aerosols in Shijiazhuang, a pollution-prone city, to assess the activation of INPs, examine the influence of aerosol chemical composition on INP concentration (NINP), and to quantitatively evaluate the contribution of different pollution sources to ice nucleation. Materials and methods The PM2.5 sampling site was located in the yard of Hebei Sailhero Environmental Protection Technology Co., Ltd. in Shijiazhuang City, Hebei Province (38.04°N, 114.65°E). PM2.5 samples were collected from December 7, 2021 to January 8, 2022, using a flow sampler at a flow a rate of 1.13 m3/min. The collected samples were processed by clipping the membranes and placing them in centrifuge tubes containing 10 mL of deionized water, followed by sonication for 30 min. An aliquot of the suspension was transferred to a cold stage and cooled at 1 ℃/min until complete freezing of the droplets. Carbon fractions (organic carbon (OC) and elemental carbon (EC)), water-soluble ions, and inorganic elemental components were analyzed using a DRI 2001 thermo-optical carbon analyzer, an ion chromatograph, and an energy-dispersive X-ray fluorescence analyzer, respectively. Pollution sources in Shijiazhuang were assessed using the positive matrix factorization (PMF) model combined with multiple linear regression (MLR). Results Throughout the observation campaign, daily mean PM2.5 mass concentrations ranged from 30.8 μg/m3 to 155.5 μg/m3, with an overall average of (84.0±35.4) μg/m3, exceeding the Grade Ⅱ daily limit of the Chinese National Ambient Air Quality Standard (75 μg/m3). Secondary inorganic aerosols (SIA, dominated by sulfate‑nitrate‑ammonium (SNA: SO , NO , and NH )) and organic matter (OM) accounted for 38.9% and 27.2% of PM2.5 mass, respectively. The median freezing temperature (T50) of PM2.5 suspensions averaged (-15.0±1.3) ℃, substantially higher than that of deionized water (-25.0 ℃), indicating the presence of ice-active constituents in ambient PM2.5. The onset temperatures for ice nucleation ranged from -12.5 ℃ to -6.5 ℃, with a mean value of (-8.4±1.3) ℃ under both clean and polluted conditions. Over the temperature interval from -20.0 ℃ to -6.5 ℃, NINP exhibited pronounced variability, spanning from 0.0016 L⁻¹ to 0.6721 L⁻¹ with a range covering two orders of magnitude. Correlation analyses revealed that at -15 ℃, NINP was significantly and positively correlated with the metallic elements Ca (r = 0.48, p < 0.05), Ti (r = 0.47, p < 0.05), and Fe (r = 0.50, p < 0.05). In contrast, water-soluble ions (SO , NO , NH , K+, Cl-), OM, and EC showed no significant correlation with NINP. Discussion Although PM2.5 mass concentration did not exhibit a significant relationship with INP activity, marked disparities emerged among individual chemical components in their influences on ice nucleation. The metallic elements Ca, Ti, and Fe emerged as the principal chemical determinants of INP activity at -15 ℃, implicating fugitive dust as a key source of INPs at this temperature regime. In contrast, no statistically significant correlations were observed between water-soluble ions, carbonaceous fractions, and NINP, likely attributable to their intrinsic chemical properties and diminished ice nucleation efficiency under relatively warm freezing conditions. In the low-temperature region (below T50), NINP on clean days exceeded that on polluted days, a phenomenon consistent with the elevated mineral dust fraction during cleaner atmospheric conditions. Quantitative source apportionment indicated that fugitive dust constituted the predominant INP source (46.1%), followed by vehicle emissions (31.1%) and industrial emissions (13.4%), with secondary sources making only minor contributions. Conclusions At -15 ℃, fugitive dust (46.1%) was identified as the dominant source of atmospheric INPs, followed by vehicle emissions (31.1%) and industrial emissions (13.4%). These source contributions were closely associated with the metallic tracers Ca, Ti, and Fe. Secondary aerosol sources contributed marginally to INP formation, presumably due to the relatively high subzero temperature, which limits the ice nucleation activity of SNA components. This study provides a quantitative observational basis for understanding the sources of INPs in urban atmospheres and highlights the predominant role of primary particulate emissions over secondary aerosol formation in governing urban INP concentrations. Recommendations and Perspectives This study only examined the influence of individual chemical components on INP concentrations. However, the effects of internal and external mixing states of aerosols on their ice nucleation ability remain unclear, and the microscopic formation mechanisms of INPs in urban aerosols have not been fully explored. Future research should combine laboratory simulations with single-particle analysis to investigate the role of mixing states at the molecular level. In addition, physical properties such as particle size and surface area should be incorporated alongside chemical composition to systematically evaluate the key factors affecting ice nucleation activity. On this basis, a physiochemical parameterization scheme could be developed to improve the representation of urban INPs in regional climate models and enhance the simulation accuracy of cloud and precipitation processes.

Key words:  PM2.5  ice nucleating particles  influencing factors  source apportionment
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