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Pollution characteristics, potential source areas, and transport pathways of PM2.5 and O3 in an inland city of Shijiazhuang, China

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Abstract

Regional transmission plays a crucial role in the PM2.5 and O3 pollution of Shijiazhuang, a hot inland city in the North China Plain. To analyze the pollution pathways and potential source distribution, airflow backward trajectory cluster analysis, potential source contribution function (PSCF) method, and concentration-weighted trajectory (CWT) analysis were used adopting monitoring data from 2015 to 2021. The results showed that in 2016, the compound pollution days of PM2.5 and O3 were the most (24 days), accounting for 36.4% of the total. According to air mass backward trajectory analysis, the highest concentration of O3 in Shijiazhuang during summer (136.3 μg/m3) was due to the influence of short-distance transmission, specifically Cluster 3 from the southeast direction accounting for the most significant proportion (32.79%). In winter, PM2.5 pollution primarily originated from long-distance transmission, with Cluster 3 in Mongolia, Inner Mongolia, and Shanxi Province recording PM2.5 concentrations as high as 179.9 μg/m3. The source area for PM2.5 pollution in Shijiazhuang significantly expanded during winter, with the increasing high-value area of weighted PSCF (WPSCF) and weighted (WCWT). During summer, the distribution area of O3 pollution sources and WPSCF value increased significantly. Almost the entire Henan region was covered by a high-value WCWT area (up to 95 μg/m3). O3 pollution was primarily emitted locally but transported over short distances. These findings underscore the necessity of implementing regional joint prevention and control measures to mitigate PM2.5 and O3 pollution.

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Data availability

“Ambient air quality data (PM2.5 and O3) can be downloaded from the national urban air quality real-time release platform of China National Environmental Monitoring Station (http://106.37.208.233:20035). The meteorological data can be found at ftp://arlftp.arlhq.noaa.gov/pub/archives/gdas1/. For further requests, please refer to the corresponding authors.”

References

  • Ashbaugh LL, Malm WC, Sadeh WZ (1985) A residence time probability analysis of sulfur concentrations at Grand Canyon National Park. Atmos Environ 19:1263–1270

    Article  CAS  Google Scholar 

  • Chang X, Wang S, Zhao B, Xing J, Liu X, Wei L, Song Y, Wu W, Cai S, Zheng H (2019) Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control. Sci Total Environ 660:1191–1200

    Article  CAS  Google Scholar 

  • Chen N, Chen L, Wan LL, Zhu B, Cao WX, Xu K, Ding QQ, Lan B, Zhang ZX, Wei L, Shi AL, Wang K (2022) Characteristic and trend analysis of PM2.5 and ozone in air compound pollution in Hubei Province during 2015-2020. Res Environ Sci 35:659–672

    CAS  Google Scholar 

  • Chen YL, Li YQ (2021) Characteristics of O3 and PM2.5 and its relationship with meteorological factors in Yangtze River Delta. Resour Environ Yangtze Basin 30:382–396

    Google Scholar 

  • Dehshiri SSH, Firoozabadi B, Afshin H (2022) A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models. Sci Total Environ 808:152109

    Article  Google Scholar 

  • Dimitriou K, Remoundaki E, Mantas E, Kassomenos P (2015) Spatial distribution of source areas of PM2.5 by concentration weighted trajectory (CWT) model applied in PM2.5 concentration and composition data. Atmos Environ 116:138–145

    Article  CAS  Google Scholar 

  • Ecology Mo, China EotPsRo (2013) Technical regulation for ambient air quality assessment (on Trial)(HJ 663—2013). China Environmental Science Press, Beijing China

    Google Scholar 

  • Feng Z, Hu T, Tai AP, Calatayud V (2020) Yield and economic losses in maize caused by ambient ozone in the North China Plain (2014–2017). Sci Total Environ 722:137958

    Article  CAS  Google Scholar 

  • Feng Z, Xu Y, Kobayashi K, Dai L, Zhang T, Agathokleous E, Calatayud V, Paoletti E, Mukherjee A, Agrawal M, Park RJ, Oak YJ, Yue X (2022) Ozone pollution threatens the production of major staple crops in East Asia. Nat Food 3:47–56. https://doi.org/10.1038/s43016-021-00422-6

    Article  CAS  Google Scholar 

  • Gao A, Wang J, Luo J, Li A, Chen K, Wang P, Wang Y, Li J, Hu J, Zhang H (2020) Temporal variation of PM2.5-associated health effects in Shijiazhuang, Hebei. Front Environ Sci Eng 15:1–9. https://doi.org/10.1007/s11783-020-1376-0

    Article  CAS  Google Scholar 

  • Gao A, Wang J, Poetzscher J, Li S, Gao B, Wang P, Luo J, Fang X, Li J, Hu J, Gao J, Zhang H (2022) Coordinated health effects attributable to particulate matter and other pollutants exposures in the North China Plain. Environ Res 208:112671. https://doi.org/10.1016/j.envres.2021.112671

    Article  CAS  Google Scholar 

  • Gao Q, Guo XC, Meng NN, Wang L, Ding HL (2021a) Analysis on characteristics and potential sources of aerosols in Beijing-Tianjin-Hebei Region. Sci Technol Eng 21:13185–13195

    Google Scholar 

  • Gao Y, Han YG, Huang XY, Han L (2021b) PM2.5 source distribution and transmission in winter in southern Henan Province based on backward trajectory model. Res Environ Sci 34:538–548

    Google Scholar 

  • Guo Y, Lin C, Li J, Wei L, Ma Y, Yang Q, Li D, Wang H, Shen J (2021) Persistent pollution episodes, transport pathways, and potential sources of air pollution during the heating season of 2016-2017 in Lanzhou, China. Environ Monit Assess 193:852. https://doi.org/10.1007/s10661-021-09597-8

    Article  CAS  Google Scholar 

  • He Y, Li L, Wang H, Xu X, Li Y, Fan S (2022) A cold front induced co-occurrence of O3 and PM2.5 pollution in a Pearl River Delta city: temporal variation, vertical structure, and mechanism. Environ Pollut 306:119464

    Article  CAS  Google Scholar 

  • Hong Q, Liu C, Hu Q, Xing C, Tan W, Liu H, Huang Y, Zhu Y, Zhang J, Geng T, Liu J (2019) Evolution of the vertical structure of air pollutants during winter heavy pollution episodes: the role of regional transport and potential sources. Atmos Res 228:206–222. https://doi.org/10.1016/j.atmosres.2019.05.016

    Article  CAS  Google Scholar 

  • Hsu YK, Holsen TM, Hopke PK (2003) Comparison of hybrid receptor models to locate PCB sources in Chicago. Atmos Environ 37:545–562

    Article  CAS  Google Scholar 

  • Hu T, Liu S, Xu Y, Feng Z, Calatayud V (2020) Assessment of O3-induced yield and economic losses for wheat in the North China Plain from 2014 to 2017. China Environ Pollut 258:113828

    Article  CAS  Google Scholar 

  • Jeong U, Kim J, Lee H, Jung J, Kim YJ, Song CH, Koo JH (2011) Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea using highly time resolved measurements: a PSCF model approach. J Environ Monit 13:1905–1918. https://doi.org/10.1039/c0em00659a

    Article  CAS  Google Scholar 

  • Jiang L, He SX, Zhou HF (2020) Spatio-temporal characteristics and convergence trends of PM2.5 pollution: a case study of cities of air pollution transmission channel in Beijing-Tianjin-Hebei region, China. J Clean Prod 256:120631. https://doi.org/10.1016/j.jclepro.2020.120631

    Article  CAS  Google Scholar 

  • Ju K, Lu L, Yang J, Chen T, Lan T, Duan Z, Xu Z, Zhang E, Wang W, Pan J (2023) Identifying the causal effects of long-term exposure to PM2.5 and ground surface ozone on individual medical costs in China—evidence from a representative longitudinal nationwide cohort. BMC Med 21:1–14

    Article  Google Scholar 

  • Li C, Dai Z, Liu X, Wu P (2020) Transport pathways and potential source region contributions of PM2.5 in Weifang: seasonal variations. Appl Sci 10:2835

    Article  CAS  Google Scholar 

  • Li D, Liu J, Zhang J, Gui H, Du P, Yu T, Wang J, Lu Y, Liu W, Cheng Y (2017a) Identification of long-range transport pathways and potential sources of PM(2.5) and PM(10) in Beijing from 2014 to 2015. J Environ Sci (China) 56:214–229. https://doi.org/10.1016/j.jes.2016.06.035

    Article  Google Scholar 

  • Li H, Peng L, Bi F, Li L, Bao J, Li J, Zhang H, Chai F (2019) Strategy of coordinated control of PM2.5 and ozone in China. Res Environ Sci 32:1763–1778

    CAS  Google Scholar 

  • Li L, Yan D, Xu S, Huang M, Wang X, Xie S (2017b) Characteristics and source distribution of air pollution in winter in Qingdao, eastern China. Environ Pollut 224:44–53. https://doi.org/10.1016/j.envpol.2016.12.037

    Article  CAS  Google Scholar 

  • Liao T, Wang S, Ai J, Gui K, Duan B, Zhao Q, Zhang X, Jiang W, Sun Y (2017) Heavy pollution episodes, transport pathways and potential sources of PM(2.5) during the winter of 2013 in Chengdu (China). Sci Total Environ 584-585:1056–1065. https://doi.org/10.1016/j.scitotenv.2017.01.160

    Article  CAS  Google Scholar 

  • Liu C, Liang J, Li Y, Shi K (2023) Fractal analysis of impact of PM2.5 on surface O3 sensitivity regime based on field observations. Sci Total Environ 858:160136

    Article  CAS  Google Scholar 

  • Liu Q, Liu T, Chen Y, Xu J, Gao W, Zhang H, Yao Y (2019) Effects of aerosols on the surface ozone generation via a study of the interaction of ozone and its precursors during the summer in Shanghai, China. Sci Total Environ 675:235–246

    Article  CAS  Google Scholar 

  • Liu Y, Tang G, Wang M, Liu B, Hu B, Chen Q, Wang Y (2021) Impact of residual layer transport on air pollution in Beijing, China. Environ Pollut 271:116325

    Article  CAS  Google Scholar 

  • Long Y, Wu Y, Xie Y, Huang L, Wang W, Liu X, Zhou Z, Zhang Y, Hanaoka T, Ju Y (2023) PM2.5 and ozone pollution-related health challenges in Japan with regards to climate change. Glob Environ Chang 79:102640

    Article  Google Scholar 

  • Luo Y, Zhao T, Yang Y, Zong L, Kumar KR, Wang H, Meng K, Zhang L, Lu S, Xin Y (2022) Seasonal changes in the recent decline of combined high PM2.5 and O3 pollution and associated chemical and meteorological drivers in the Beijing–Tianjin–Hebei region, China. Sci Total Environ 838:156312

    Article  CAS  Google Scholar 

  • Luo YH, Zhao TL, Kai M, Hong W, Jia GK, Shan XY, Shuo L (2021) Comparative analysis of the relationship between PM2.5 and O3 in plain and mountainous cities in North China. China Environ Sci 41:3981–3989

    CAS  Google Scholar 

  • Lv L, Chen Y, Han Y, Cui M, Wei P, Zheng M, Hu J (2021) High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes. Sci Total Environ 772:144766

    Article  CAS  Google Scholar 

  • Maji KJ, Namdeo A (2021) Continuous increases of surface ozone and associated premature mortality growth in China during 2015-2019. Environ Pollut 269:116183. https://doi.org/10.1016/j.envpol.2020.116183

    Article  CAS  Google Scholar 

  • Niu XX, Zhong YM, Yang L, Yi JH, Mu H, Wu Q, Hong S, He C (2023) Spatiotemporal evolution characteristics of PM2.5-O3 compound pollution in Chinese cities from 2015 to 2020. Environ Sci 44:1830–1840

    Google Scholar 

  • Pai SJ, Carter TS, Heald CL, Kroll JH (2022) Updated World Health Organization air quality guidelines highlight the importance of non-anthropogenic PM2.5. Environ Sci Technol Lett 9:501–506

    Article  CAS  Google Scholar 

  • Polissar AV, Hopke PK, Paatero P, Kaufmann YJ, Hall DK, Bodhaine BA, Dutton EG, Harris JM (1999) The aerosol at Barrow, Alaska: long-term trends and source locations. Atmos Environ 33:2441–2458

    Article  CAS  Google Scholar 

  • Ren L, Yang Y, Wang H, Wang P, Chen L, Zhu J, Liao H (2021) Aerosol transport pathways and source attribution in China during the COVID-19 outbreak. Atmos Chem Phys 21:15431–15445. https://doi.org/10.5194/acp-21-15431-2021

    Article  CAS  Google Scholar 

  • Seibert P, Kromp-Kolb H, Baltensperger U, Jost D, Schwikowski M (1994) Trajectory analysis of high-alpine air pollution data. Air Pollut Mod Appl X:595–596

    Google Scholar 

  • Stein A, Draxler RR, Rolph GD, Stunder BJ, Cohen MD, Ngan F (2015) NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bull Am Meteorol Soc 96:2059–2077

    Article  Google Scholar 

  • Vellingiri K, Kim KH, Ma CJ, Kang CH, Lee JH, Kim IS, Brown RJ (2015) Ambient particulate matter in a central urban area of Seoul, Korea. Chemosphere 119:812–819

    Article  CAS  Google Scholar 

  • Wang F, Qiu X, Cao J, Peng L, Zhang N, Yan Y, Li R (2021) Policy-driven changes in the health risk of PM2. 5 and O3 exposure in China during 2013–2018. Sci Total Environ 757:143775

    Article  CAS  Google Scholar 

  • Wang G, Zhu Z, Liu Z, Liu X, Kong F, Nie L, Gao W, Zhao N, Lang J (2022) Ozone pollution in the plate and logistics capital of China: insight into the formation, source apportionment, and regional transport. Environ Pollut 313:120144

    Article  CAS  Google Scholar 

  • Wang J, Gao A, Li S, Liu Y, Zhao W, Wang P, Zhang H (2023a) Regional joint PM2.5-O3 control policy benefits further air quality improvement and human health protection in Beijing-Tianjin-Hebei and its surrounding areas. J Environ Sci 130:75–84

    Article  CAS  Google Scholar 

  • Wang L, Liu Z, Sun Y, Ji D, Wang Y (2015) Long-range transport and regional sources of PM2.5 in Beijing based on long-term observations from 2005 to 2010. Atmos Res 157:37–48. https://doi.org/10.1016/j.atmosres.2014.12.003

    Article  CAS  Google Scholar 

  • Wang Q, Luo H, Meng W, Li S, Luo J, Liu J (2023b) Analysis of characteristics and potential sources of PM2.5 and O3 pollution in Handan. Acta Sci Circumst 43:53–69. https://doi.org/10.13671/j.hjkxxb.2022.0327

    Article  CAS  Google Scholar 

  • Wang YQ (2014) MeteoInfo: GIS software for meteorological data visualization and analysis. Meteorol Appl 21:360–368

    Article  Google Scholar 

  • Wang YQ, Zhang XY, Arimoto R (2006) The contribution from distant dust sources to the atmospheric particulate matter loadings at XiAn, China during spring. Sci Total Environ 368:875–883. https://doi.org/10.1016/j.scitotenv.2006.03.040

    Article  CAS  Google Scholar 

  • Wang YQ, Zhang XY, Draxler RR (2009) TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data. Environ Model Softw 24:938–939. https://doi.org/10.1016/j.envsoft.2009.01.004

    Article  Google Scholar 

  • WHO (2021) WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO.

  • Wu B, Liu C, Zhang J, Du J, Shi K (2021) The multifractal evaluation of PM2.5-O3 coordinated control capability in China. Ecol Indic 129:107877

    Article  CAS  Google Scholar 

  • Wu X, Xin J, Zhang W, Gao W, Ma Y, Ma Y, Wen T, Liu Z, Hu B, Wang Y (2022) Variation characteristics of air combined pollution in Beijing City. Atmos Res 274:106197

    Article  CAS  Google Scholar 

  • Xing J, Wang J, Mathur R, Wang S, Sarwar G, Pleim J, Hogrefe C, Zhang Y, Jiang J, Wong DC (2017) Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmos Chem Phys 17:9869–9883

    Article  CAS  Google Scholar 

  • Xu J, Zhang Y, Zheng S (2012) Aerosol effects on ozone concentrations in Beijing: a model sensitivity study. J Environ Sci 24:12

    Article  Google Scholar 

  • Xu X, Akhtar US (2010) Identification of potential regional sources of atmospheric total gaseous mercury in Windsor, Ontario, Canada using hybrid receptor modeling. Atmos Chem Phys 10:7073–7083

    Article  CAS  Google Scholar 

  • Yang K, Li Q, Yuan M, Guo M, Wang Y, Li S, Tian C, Tang J, Sun J, Li J, Zhang G (2019) Temporal variations and potential sources of organophosphate esters in PM(2.5) in Xinxiang, North China. Chemosphere 215:500–506. https://doi.org/10.1016/j.chemosphere.2018.10.063

    Article  CAS  Google Scholar 

  • Yu Y, Dai C, Wei Y, Ren H, Zhou J (2022) Air pollution prevention and control action plan substantially reduced PM2. 5 concentration in China. Energy Econ 113:106206

    Article  Google Scholar 

  • Zhan Y, Xie M, Gao D, Wang T, Zhang M, An F (2021) Characterization and source analysis of water-soluble inorganic ionic species in PM2.5 during a wintertime particle pollution episode in Nanjing, China. Atmos Res 262:105769

    Article  CAS  Google Scholar 

  • Zhang H, Wang X, Shen X, Li X, Wu B, Chen W, Yao Z (2022) Analysis of air pollution characteristics, transport pathways and potential source areas identification in Beijing before, during and after the COVID-19 outbreak. Front Environ Sci 10:982566

    Article  Google Scholar 

  • Zhang L, Wang S, Wang L, Hao J (2013) Atmospheric mercury concentration and chemical speciation at a rural site in Beijing, China: implications of mercury emission sources. Atmos Chem Phys 13:10505–10516

    Article  Google Scholar 

  • Zhang L, Shen F, Gao J, Cui S, Yue H, Wang J, Chen M, Ge X (2020) Characteristics and potential sources of black carbon particles in suburban Nanjing, China. Atmos Pollut Res 11:981–991

    Article  Google Scholar 

  • Zhang Y, Lang J, Cheng S, Li S, Zhou Y, Chen D, Zhang H, Wang H (2018) Chemical composition and sources of PM(1) and PM(2.5) in Beijing in autumn. Sci Total Environ 630:72–82. https://doi.org/10.1016/j.scitotenv.2018.02.151

    Article  CAS  Google Scholar 

  • Zhang Z, Ding J, Chen X, Wang J (2023) Aerosols characteristics, sources, and drive factors analysis in typical megacities, NW China. J Clean Prod 403:136879

    Article  Google Scholar 

  • Zhao D, Liu G, Xin J, Quan J, Wang Y, Wang X, Dai L, Gao W, Tang G, Hu B (2020a) Haze pollution under a high atmospheric oxidization capacity in summer in Beijing: insights into formation mechanism of atmospheric physicochemical processes. Atmos Chem Phys 20:4575–4592

    Article  CAS  Google Scholar 

  • Zhao H, Zheng Y, Zhang Y, Li T (2020b) Evaluating the effects of surface O(3) on three main food crops across China during 2015-2018. Environ Pollut 258:113794. https://doi.org/10.1016/j.envpol.2019.113794

    Article  CAS  Google Scholar 

  • Zhao L, Gu WM, Shao LM, He PJ (2012) Sludge bio-drying process at low ambient temperature: effect of bulking agent particle size and controlled temperature. Dry Technol 30:1037–1044

    Article  CAS  Google Scholar 

  • Zhao N, Wang G, Li G, Lang J, Zhang H (2020c) Air pollution episodes during the COVID-19 outbreak in the Beijing–Tianjin–Hebei region of China: an insight into the transport pathways and source distribution. Environ Pollut 267:115617

    Article  CAS  Google Scholar 

  • Zheng Y, Cheng F, Zhang K, Tang W, Meng F, Li PY, Guo ZQ (2020) Characteristics and potential transport source identification of atmospheric pollution in Baoding City. Res Environ Sci 33:260–270

    CAS  Google Scholar 

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Funding

The work is funded by Central Guiding Local Science and Technology Development Fund Projects (236Z4203G), Tangshan Municipal Science and Technology Plan-Key Research and Development Plan project (22150231J), the Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) (FDLAP20005), Science and Technology Project of Hebei Education Department (ZD2020135), and College Students’ Innovation and Entrepreneurship Training Program Project (202210077004, 202110077010).

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AG: methodology, formal analysis, supervision, writing—reviewing and editing, investigation. BG: methodology, data curation, formal analysis, validation, investigation. SL: writing—original draft, formal analysis, validation. WY: data collation and analysis. WS: formal analysis. XC: writing—reviewing and editing. YL: writing—reviewing. HZ: conceptualization, project administration, writing—reviewing and editing. BZ: writing—reviewing and editing.

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Correspondence to Hongliang Zhang.

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Gao, A., Gao, B., Li, S. et al. Pollution characteristics, potential source areas, and transport pathways of PM2.5 and O3 in an inland city of Shijiazhuang, China. Air Qual Atmos Health (2024). https://doi.org/10.1007/s11869-024-01508-3

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