青岛市雾日PM<sub>1</sub>中金属元素来源及健康风险评估

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Abstract In order to understand pollution level and sources of metallic elements in PM₁ on foggy days in Qingdao, and to assess the risk to human health, this study classified foggy days based on visibility and humidity data, and revealed the sources and health risks of metallic elements in PM₁ on foggy days in Qingdao by combining the PMF and the health risk assessment model. The PM₁ concentration on clean-foggy days was slightly higher than that on clean days, while the PM₁ concentration on polluted-foggy days was 1.11 times as compared with hazy days and 3.07 times as compared with clean days. The metal elements in the autumn and winter foggy days were influenced by anthropogenic sources, with the highest content of Potassium. The main contributing elements in the summer foggy days were the typical crustal elements Ca, Fe, Al and sea salt Na. The PMF results showed that the metal elements in the PM₁on the autumn and winter foggy days came from biomass/coal combustion, vehicle emissions, crustal dust, sea salt, ship emissions and industry, the metal elements in PM₁ on foggy days in summer were biomass/coal combustion, vehicle/road dust sources, crustal dust, sea salt, ship emissions and industry. The sampling site is adjacent to the sea, where sea fog is frequent and sea salt sources are an important source of metal elements on foggy days in summer. The results of health risk assessment showed that the non-carcinogenic risk of PM₁ for adults and children exposed to foggy days in Qingdao in autumn and winter was below the threshold value. The non-carcinogenic risk of Mn was the highest for adults and children, and the non-carcinogenic risk of hand-oral ingestion of As (HQ_As=0.50) was the highest for children. The carcinogenic risks of As (3.1×10^-6) and Cr (1.9×10^-6) exceeded the thresholds for carcinogenic risk, and it is recommended to strengthen the control of the sources of emissions containing Mn, As, and Cr.

Key words： PM₁ metal elements foggy day source health risk assessment

Received: 28 September 2023

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X513

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	TAO Wen-xin
	DU Jin-hua
	YANG Jian-li
	TAN Yu-ran
	WANG Chao-long
	XUE Lian
	SUI Hao-xin
	ZHANG Hou-yong
	LIU Xiao-huan
	ZHANG Yi-sheng

Cite this article:

TAO Wen-xin,DU Jin-hua,YANG Jian-li等. Source identification and health risk assessment of trace elements in atmospheric PM₁during foggy days in Qingdao[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(4): 1945-1956.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I4/1945

[1] Wang T, Liu M, Liu M, et al. Sulfate formation apportionment during winter haze events in north China[J]. Environmental Science & Technology, 2022,56(12):7771-7778.
[2] Qian J, Liu D, Yan S, et al. Fog scavenging of particulate matters in air pollution events:Observation and simulation in the Yangtze River Delta, China[J]. Science of the Total Environment, 2023,876:162728.
[3] Kim J, Kim S H, Seo H W, et al. Meteorological characteristics of fog events in Korean smart cities and machine learning based visibility estimation[J]. Atmospheric Research, 2022,275:106239.
[4] 林瑜,叶芝祥,杨怀金,等.成都市中心城区大气PM₁的污染特征及来源解析[J]. 中国环境科学, 2017,37(9):3220-3226. Lin Y, Ye Z X, Yang H J, et al. Pollution level and source apportionment of atmospheric particles PM₁ in downtown area of Chengdu[J]. China Environmental Science, 2017,37(9):3220-3226.
[5] Wang S, Wang L, Wang N, et al. Formation of droplet-mode secondary inorganic aerosol dominated the increased PM_2.5 during both local and transport haze episodes in Zhengzhou, China[J]. Chemosphere, 2021,269:128744.
[6] Jia L, Xu Y, Duan M. Explosive formation of secondary organic aerosol due to aerosol-fog interactions[J]. Science of the Total Environment, 2023,866:161338.
[7] Giorio C, D'Aronco S, Di Marco V, et al. Emerging investigator series:aqueous-phase processing of atmospheric aerosol influences dissolution kinetics of metal ions in an urban background site in the Po Valley[J]. Environmental Science:Processes & Impacts, 2022,24(6):884-897.
[8] Yang X, Zheng M, Liu Y, et al. Exploring sources and health risks of metals in Beijing PM_2.5:Insights from long-term online measurements[J]. Science of the Total Environment, 2022,814:151954.
[9] Paglione M, Decesari S, Rinaldi M, et al. Historical changes in seasonal aerosol acidity in the Po valley (Italy) as inferred from fog water and aerosol measurements[J]. Environmental Science & Technology, 2021,55(11):7307-7315.
[10] Zhong J, Zhang X, Zhang Y, et al. Drivers of the rapid rise and daily-based accumulation in PM₁[J]. Science of the Total Environment, 2021,760:143394.
[11] Pan X, Yu Q, Chen S, et al. Dissecting contributions of representative heavy metal components in PM_2.5 to its cytotoxicity[J]. Ecotoxicology and Environmental Safety, 2023,251:114562.
[12] Liu Q, Baumgrtner J, Zhang Y, et al. Source apportionment of Beijing air pollution during a severe winter haze event and associated pro-inflammatory responses in lung epithelial cells[J]. Atmospheric Environment, 2016,126:28-35.
[13] Niu F, Li Z, Li C, et al. Increase of wintertime fog in China:Potential impacts of weakening of the Eastern Asian monsoon circulation and increasing aerosol loading[J]. Journal of Geophysical Research:Atmospheres, 2010,115(D7).
[14] Guo B, Wang Y, Zhang X, et al. Temporal and spatial variations of haze and fog and the characteristics of PM_2.5 during heavy pollution episodes in China from 2013 to 2018[J]. Atmospheric Pollution Research, 2020,11(10):1847-1856.
[15] Forthun G M, Johnson M B, Schmitz W G, et al. Trends in fog frequency and duration in the southeast United States[J]. Physical Geography, 2006,27(3):206-222.
[16] Van Oldenborgh G J, Yiou P, Vautard R. On the roles of circulation and aerosols in the decline of mist and dense fog in Europe over the last 30 years[J]. Atmospheric Chemistry and Physics, 2010,10(10):4597-4609.
[17] Fu G Q, Xu W Y, Yang R F, et al. The distribution and trends of fog and haze in the North China Plain over the past 30 years[J]. Atmospheric Chemistry and Physics, 2014,14(21):11949-11958.
[18] 朱丹丹,樊曙先,胡春阳,等.南京三级分档雾水有机酸和无机组分化学特征[J]. 中国环境科学, 2020,40(8):3342-3351. Zhu D D, Fan S X, Hu C Y, et al. Characteristics of organic acids and inorganic components in three-stage fog water in Nanjing[J]. China Environmental Science, 2020,40(8):3342-3351.
[19] 张鸿伟,樊曙先,胡春阳,等.庐山三级分档雾水化学特征的对比分析[J]. 中国环境科学, 2019,39(11):4589-4598. Zhang H W, Fan S X, Hu C Y, et al. Comparative analysis of the chemical properties of the three-stage fog water in Mount Lushan[J]. China Environmental Science, 2019,39(11):4589-4598.
[20] 张思蕊,樊曙先,王元,等.南京雾过程对大气气溶胶谱分布及化学组成的影响[J]. 中国环境科学, 2022,42(11):4961-4973. Zhang S R, Fan S X, Wang Y, et al. Effects of Nanjing fog process on the spectral distribution and chemical composition of atmospheric aerosols[J]. China Environmental Science, 2022,42(11):4961-4973.
[21] Liu X, Wai K M, Wang Y, et al. Evaluation of trace elements contamination in cloud/fog water at an elevated mountain site in Northern China[J]. Chemosphere, 2012,88(5):531-541.
[22] 王元,牛生杰,吕晶晶,等.南京冬季一次强浓雾及超细粒子累积过程分析[J]. 中国环境科学, 2019,39(2):459-468. Wang Y, Niu S J, Lv J J, et al. Analysis of a cumulative event of nano-scale aerosols and a strong fog during winter in Nanjing[J]. China Environmental Science, 2019,39(2):459-468.
[23] 张扬,王红磊,刘安康,等.南京市不同天气过程下颗粒物中水溶性离子分布特征及其来源解析[J]. 环境科学, 2021,42(2):564-573. Zhang Y, Wang H L, Liu A K, et al. Distribution characteristics and source analysis of water-soluble ions in particulate matter under different weather processes in Nanjing[J]. Environmental Science, 2021,42(2):564-573.
[24] 卢一凡,王娇,于铖浩,等.青岛市雾、霾天时空变化特征及影响因素分析[J]. 中国海洋大学学报(自然科学版), 2021,51(7):34-45. Lu Y F, Wang J, Yu C H, et al. Temporal-spatial variation characteristics and influence factors of fog and haze events in Qingdao, China[J]. Periodical of Ocean University of China, 2021,51(7):34-45.
[25] Zhu W, Qi Y, Tao H, et al. Investigation of a haze-to-dust and dust swing process at a coastal city in northern China part I:Chemical composition and contributions of anthropogenic and natural sources[J]. Science of The Total Environment, 2022,851:158270.
[26] Wei W, Qi J, Yin Y, et al. Characteristics of inhalable bioaerosols on foggy and hazy days and their deposition in the human respiratory tract[J]. Environmental Pollution, 2022,307:119593.
[27] Wei K, Tang X, Tang G, et al. Distinction of two kinds of haze[J]. Atmospheric Environment, 2020,223:117228.
[28] 韩新宇,郭晋源,史建武,等.云南5城市道路扬尘PM_2.5中重金属含量表征及健康风险[J]. 环境科学, 2023,44(6):3463-3474. Han X Y, Guo J Y, Shi J W, et al. Characterization and health risk of heavy metals in PM_2.5 from road fugitive dust in five cities of Yunnan province[J]. Environmental Science, 2023,44(6):3463-3474.
[29] 赵明升,任丽红,李刚,等.2018~2019年冬季天津和青岛PM_2.5中重金属污染特征与健康风险评价[J]. 环境科学, 2022,43(12):5376-5386. Zhao M S, Ren L H, Li G, et al. Pollution characteristics and health risk Assessment of PM_2.5 heavy metals in Tianjin and Qingdao in Winter of 2018~2019[J]. Environmental Science, 2022,43(12):5376-5386.
[30] Xu B, Xu H, Zhao H, et al. Source apportionment of fine particulate matter at a megacity in China, using an improved regularization supervised PMF model[J]. Science of The Total Environment, 2023, 879:163198.
[31] 生态环境部.中国人群暴露参数手册[M]. 儿童卷.北京:中国环境科学出版社, 2016. Ministry of Environmental Protection. Chinese Population Exposure Parameter Manual[M]. Children Volume. Beijing:China Environmental Science Press, 2016.
[32] 生态环境部.中国人群暴露参数手册[M]. 成人卷.北京:中国环境科学出版社, 2013. Ministry of Environmental Protection. Chinese Population Exposure Parameter Manual[M]. Adult Volume. Beijing:China Environmental Science Press, 2013.
[33] US EPA. Exposure factors handbook (2011 Edition)[R]. Washington:National Center for Environmental Assessment, 2011.
[34] US EPA. Integrated risk information system[EB/Z] http://www. epa.gov/iris/, 1999.
[35] 李宏艳,赵志新,何秋生,等.山西介休焦化区PM_2.5重金属污染特征、关键毒性组分与来源[J]. 中国环境科学, 2023,43(4):1528-1538. Li H Y, Zhao Z X, He Q S, et al. Pollution characteristics, key toxic components and sources of PM_2.5-bound heavy metals in coking polluted area of Jiexiu, Shanxi[J]. China Environmental Science, 2023,43(4):1528-1538.
[36] 古添发,闫润华,姚沛廷,等.深圳市大气中PM_2.5载带金属污染特征及健康风险[J]. 中国环境科学, 2023,43(1):88-95. Gu T F, Yan R H, Yao P T, et al. Characteristics and health risks of ambient PM_2.5-bound metals in Shenzhen[J]. China Environmental Science, 2023,43(1):88-95.
[37] Huang R J, Cheng R, Jing M, et al. Source-specific health risk analysis on particulate trace elements:coal combustion and traffic emission as major contributors in wintertime Beijing[J]. Environmental Science & Technology, 2018,52(19):10967-10974.
[38] 孟丽红,杨二辉,蔡子颖,等.基于多源资料和数值模拟的雾对PM_2.5影响研究[J]. 中国环境科学, 2023,43(4):1510-1518. Meng L H, Yang E H, Cai Z Y, et al. The role of fog on the PM_2.5 based on multi-source data and numerical model[J]. China Environmental Science, 2023,43(4):1510-1518.
[39] 孟丽红,刘海玲,王炜,等.基于多源资料天津一次雾-霾过程的边界层特征[J]. 中国环境科学, 2022,42(9):4018-4025. Meng L H, Liu H L, Wang W, et al. Boundary layer characteristics of fog-haze in Tianjin based on multi-source data[J]. China Environmental Science, 2022,42(9):4018-4025.
[40] Xu P, Yang Y, Zhang J, et al. Characterization and source identification of submicron aerosol during serious haze pollution periods in Beijing[J]. Journal of Environmental Sciences, 2022,112:25-37.
[41] Han S Q, Wu J H, Zhang YF, et al. Characteristics and formation mechanism of a winter haze-fog episode in Tianjin, China[J]. Atmospheric Environment, 2014,98:323-330.
[42] Zhu Y, Li Z, Zu F, et al. The propagation of fog and its related pollutants in the Central and Eastern China in winter[J]. Atmospheric Research, 2022,265:105914.
[43] 刘子杨,张宜升,张厚勇,等.青岛秋冬季PM₁中金属元素污染特征及健康风险评估[J]. 环境科学, 2022,43(9):4448-4457. Liu Z Y, Zhang Y S, Zhang H Y, et al. Characteristics and health risk assessment of trace elements in atmospheric PM₁ during autumn and winter in Qingdao[J]. Environmental Science, 2022,43(9):4448-4457.
[44] 陶文鑫,谭玉冉,张宜升,等.海运低硫管控政策下青岛PM_2.5和PM₁金属元素污染特征及来源解析[J]. 中国环境科学, 2023,43(7):3339-3349. Tao W X, Tan Y R, Zhang Y S, et al. Characteristics and source analysis of PM_2.5 and PM₁ metal elements in Qingdao under marine low-sulfur regulation[J]. China Environmental Science, 2023,43(7):3339-3349.
[45] 周睿智,闫才青,崔敏,等.山东省大气细颗粒物来源解析的研究现状与展望[J]. 中国环境科学, 2021,41(7):3029-3042. Zhou R Z, Yan C Q, Cui M, et al. Research status and prospects on source apportionment of atmospheric fine particulate matter in Shandong Province[J]. China Environmental Science, 2021,41(7):3029-3042.
[46] 林楚雄,姚沛廷,彭杏,等.深圳市城区冬季大气PM_2.5在线来源解析[J]. 中国环境科学, 2023,43(2):506-513. Lin C X, Yao P T, Peng X, et al. Online source apportionment of PM_2.5 during winter at urban site in Shenzhen[J]. China Environmental Science, 2023,43(2):506-513.
[47] Beddows D C S, Harrison R M, Gonet T, et al. Measurement of road traffic brake and tyre dust emissions using both particle composition and size distribution data[J]. Environmental Pollution, 2023,331:121830.
[48] Harrison R M, Jones A M, Gietl J, et al. Estimation of the contributions of brake dust, tire wear, and resuspension to nonexhaust traffic particles derived from atmospheric measurements[J]. Environmental Science & Technology, 2012,46(12):6523-6529.
[49] Lin Y C, Tsai C J, Wu Y C, et al. Characteristics of trace metals in traffic-derived particles in Hsuehshan Tunnel, Taiwan:size distribution, potential source, and fingerprinting metal ratio[J]. Atmospheric Chemistry and Physics, 2015,15(8):4117-4130.
[50] 赵倩彪,胡鸣,伏晴艳.2016~2020年上海市PM_2.5化学组成特征和来源解析[J]. 中国环境科学, 2022,42(11):5036-5046. Zhao Q B, Hu M, Fu Q Y. Chemical characterization and source apportionment of fine particulate matter in Shanghai during 2016~2020[J]. China Environmental Science, 2022,42(11):5036-5046.
[51] 庹雄,杨凌霄,张婉,等.海-陆大气交汇作用下青岛冬季大气PM_2.5污染特征与来源解析[J]. 环境科学, 2022,43(5):2284-2293. Tuo X, Yang L X, Zhang W, et al. Characteristics and source analysis of PM_2.5 in Qingdao in winter under the action of sea-land-atmosphere convergence[J]. Environmental Science, 2022,43(5):2284-2293.
[52] Yu G, Zhang Y, Yang F, et al. Dynamic Ni/V ratio in the ship-emitted particles driven by multiphase fuel oil regulations in coastal China[J]. Environmental Science & Technology, 2021,55(22):15031-15039.
[53] Feng J, Yu H, Su X, et al. Chemical composition and source apportionment of PM_2.5 during Chinese Spring Festival at Xinxiang, a heavily polluted city in North China:Fireworks and health risks[J]. Atmospheric Research, 2016,182:176-188.
[54] 翟诗婷,王申博,张栋,等.郑州市典型污染过程PM₁中重金属浓度、来源及健康风险评估[J]. 环境科学, 2022,43(3):1180-1189. Zhai S T, Wang S B, Zhang D, et al. Concentration, source, and health risk assessment of PM₁ heavy metals in typical pollution processes in Zhengzhou[J]. Environmental Science, 2022,43(3):1180-1189.
[55] Corbin J C, Mensah A A, Pieber S M, et al. Trace metals in soot and PM_2.5 from heavy-fuel-oil combustion in a marine engine[J]. Environmental Science & Technology, 2018,52(11):6714-6722.
[56] Viana M, Amato F, Alastuey A, et al. Chemical tracers of particulate emissions from commercial shipping[J]. Environmental Science & Technology, 2009,43(19):7472-7477.