Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-18187-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-18187-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2025
Research article |
| 11 Dec 2025
| 11 Dec 2025
Sea breeze-driven daytime vertical distributions of air pollutants and photochemical implications in an island environment
Bohai Li
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Shanshan Wang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Institute of Eco-Chongming (IEC), Shanghai, 202151, China
Zhiwen Jiang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Yuhao Yan
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Sanbao Zhang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Ruibin Xue
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Yuhan Shi
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Chuanqi Gu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
Bin Zhou
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Institute of Eco-Chongming (IEC), Shanghai, 202151, China
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
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Atmos. Meas. Tech., 16, 4643–4665, https://doi.org/10.5194/amt-16-4643-2023, https://doi.org/10.5194/amt-16-4643-2023, 2023
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Cited articles
Arrillaga, J. A., Yagüe, C., Sastre, M., and Román-Cascón, C.: A characterisation of sea-breeze events in the eastern Cantabrian coast (Spain) from observational data and WRF simulations, Atmos. Res., 181, 265–280, https://doi.org/10.1016/j.atmosres.2016.06.021, 2016.
Arrillaga, J. A., Jiménez, P., Vilà-Guerau de Arellano, J., Jiménez, M. A., Román-Cascón, C., Sastre, M., and Yagüe, C.: Analyzing the Synoptic-, Meso- and Local- Scale Involved in Sea Breeze Formation and Frontal Characteristics, J. Geophys. Res.-Atmos., 125, https://doi.org/10.1029/2019jd031302, 2020.
Azorin-Molina, C., Connell, B. H., and Baena-Calatrava, R.: Sea-Breeze Convergence Zones from AVHRR over the Iberian Mediterranean Area and the Isle of Mallorca, Spain, J. Appl. Meteorol. Climatol., 48, 2069–2085, https://doi.org/10.1175/2009JAMC2141.1, 2009.
Azorin-Molina, C., Tijm, S., and Chen, D.: Development of selection algorithms and databases for sea breeze studies, Theor. Appl. Climatol., 106, 531–546, https://doi.org/10.1007/s00704-011-0454-4, 2011.
Barthlott, C. and Kirshbaum, D. J.: Sensitivity of deep convection to terrain forcing over Mediterranean islands, Q. J. R. Meteorolog. Soc., 139, 1762–1779, https://doi.org/10.1002/qj.2089, 2013.
Benish, S. E., He, H., Ren, X., Roberts, S. J., Salawitch, R. J., Li, Z., Wang, F., Wang, Y., Zhang, F., Shao, M., Lu, S., and Dickerson, R. R.: Measurement report: Aircraft observations of ozone, nitrogen oxides, and volatile organic compounds over Hebei Province, China, Atmos. Chem. Phys., 20, 14523–14545, https://doi.org/10.5194/acp-20-14523-2020, 2020.
Chan, K. L., Wiegner, M., van Geffen, J., De Smedt, I., Alberti, C., Cheng, Z., Ye, S., and Wenig, M.: MAX-DOAS measurements of tropospheric NO2 and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations, Atmos. Meas. Tech., 13, 4499–4520, https://doi.org/10.5194/amt-13-4499-2020, 2020.
Chang, B., Liu, H., Zhang, C., Xing, C., Tan, W., and Liu, C.: Relating satellite NO2 tropospheric columns to near-surface concentrations: implications from ground-based MAX-DOAS NO2 vertical profile observations, npj Clim. Atmos. Sci., 8, https://doi.org/10.1038/s41612-024-00891-z, 2025.
Chan Miller, C., Gonzalez Abad, G., Wang, H., Liu, X., Kurosu, T., Jacob, D. J., and Chance, K.: Glyoxal retrieval from the Ozone Monitoring Instrument, Atmos. Meas. Tech., 7, 3891–3907, https://doi.org/10.5194/amt-7-3891-2014, 2014.
Chan Miller, C., Jacob, D. J., Marais, E. A., Yu, K., Travis, K. R., Kim, P. S., Fisher, J. A., Zhu, L., Wolfe, G. M., Hanisco, T. F., Keutsch, F. N., Kaiser, J., Min, K.-E., Brown, S. S., Washenfelder, R. A., González Abad, G., and Chance, K.: Glyoxal yield from isoprene oxidation and relation to formaldehyde: chemical mechanism, constraints from SENEX aircraft observations, and interpretation of OMI satellite data, Atmos. Chem. Phys., 17, 8725–8738, https://doi.org/10.5194/acp-17-8725-2017, 2017.
Chen, Y., Liu, C., Su, W., Hu, Q., Zhang, C., Liu, H., and Yin, H.: Identification of volatile organic compound emissions from anthropogenic and biogenic sources based on satellite observation of formaldehyde and glyoxal, Sci. Total Environ., 859, 159997, https://doi.org/10.1016/j.scitotenv.2022.159997, 2023.
Cooke, M. C., Utembe, S. R., Carbajo, P. G., Archibald, A. T., Orr-Ewing, A. J., Jenkin, M. E., Derwent, R. G., Lary, D. J., and Shallcross, D. E.: Impacts of formaldehyde photolysis rates on tropospheric chemistry, Atmos. Sci. Lett., 11, 33–38, https://doi.org/10.1002/asl.251, 2010.
Cuxart, J., Jiménez, M. A., Telišman Prtenjak, M., and Grisogono, B.: Study of a Sea-Breeze Case through Momentum, Temperature, and Turbulence Budgets, J. Appl. Meteorol. Climatol., 53, 2589–2609, https://doi.org/10.1175/jamc-d-14-0007.1, 2014.
Deng, T., Wang, T., Wang, S., Zou, Y., Yin, C., Li, F., Liu, L., Wang, N., Song, L., Wu, C., and Wu, D.: Impact of typhoon periphery on high ozone and high aerosol pollution in the Pearl River Delta region, Sci. Total Environ., 668, 617–630, https://doi.org/10.1016/j.scitotenv.2019.02.450, 2019.
Duncan, B. N., Yoshida, Y., Olson, J. R., Sillman, S., Martin, R. V., Lamsal, L., Hu, Y., Pickering, K. E., Retscher, C., Allen, D. J., and Crawford, J. H.: Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation, Atmos. Environ., 44, 2213–2223, https://doi.org/10.1016/j.atmosenv.2010.03.010, 2010.
Fan, C., de Leeuw, G., Yan, X., Dong, J., Kang, H., Fang, C., Li, Z., and Zhang, Y.: Evolution of aerosol optical depth over China in 2010–2024: increasing importance of meteorological influences, Atmos. Chem. Phys., 25, 11951–11973, https://doi.org/10.5194/acp-25-11951-2025, 2025.
Fortems-Cheiney, A., Chevallier, F., Pison, I., Bousquet, P., Saunois, M., Szopa, S., Cressot, C., Kurosu, T. P., Chance, K., and Fried, A.: The formaldehyde budget as seen by a global-scale multi-constraint and multi-species inversion system, Atmos. Chem. Phys., 12, 6699–6721, https://doi.org/10.5194/acp-12-6699-2012, 2012.
Franco, B., Hendrick, F., Van Roozendael, M., Müller, J.-F., Stavrakou, T., Marais, E. A., Bovy, B., Bader, W., Fayt, C., Hermans, C., Lejeune, B., Pinardi, G., Servais, C., and Mahieu, E.: Retrievals of formaldehyde from ground-based FTIR and MAX-DOAS observations at the Jungfraujoch station and comparisons with GEOS-Chem and IMAGES model simulations, Atmos. Meas. Tech., 8, 1733–1756, https://doi.org/10.5194/amt-8-1733-2015, 2015.
Frieß, U., Monks, P. S., Remedios, J. J., Rozanov, A., Sinreich, R., Wagner, T., and Platt, U.: MAX-DOAS O4 measurements: A new technique to derive information on atmospheric aerosols: 2. Modeling studies, J. Geophys. Res.-Atmos., 111, https://doi.org/10.1029/2005JD006618, 2006.
Frieß, U., Sihler, H., Sander, R., Pöhler, D., Yilmaz, S., and Platt, U.: The vertical distribution of BrO and aerosols in the Arctic: Measurements by active and passive differential optical absorption spectroscopy, J. Geophys. Res.-tmos., 116, https://doi.org/10.1029/2011JD015938, 2011.
Fu, C., Dan, L., Tong, J., and Xu, W.: Influence of Typhoon Nangka Process on Ozone Pollution in Hainan Island, Huanjing Kexue, 44, 2481–2491, https://doi.org/10.13227/j.hjkx.202206123, 2023.
Fu, G., Yu, J., Zhang, Y., Hu, S., Ouyang, R., and Liu, W.: Temporal variation of wind speed in China for 1961–2007, Theor. Appl. Climatol., 104, 313–324, https://doi.org/10.1007/s00704-010-0348-x, 2011.
Gangoiti, G., Alonso, L., Navazo, M., Albizuri, A., Perez-Landa, G., Matabuena, M., Valdenebro, V., Maruri, M., Antonio García, J., and Millán, M. M.: Regional transport of pollutants over the Bay of Biscay: analysis of an ozone episode under a blocking anticyclone in west-central Europe, Atmos. Environ., 36, 1349–1361, https://doi.org/10.1016/S1352-2310(01)00536-2, 2002.
Glaser, K., Vogt, U., Baumbach, G., Volz-Thomas, A., and Geiss, H.: Vertical profiles of O3, NO2, NOx, VOC, and meteorological parameters during the Berlin Ozone Experiment (BERLIOZ) campaign, Journal of Geophysical Research-Atmospheres, 108, https://doi.org/10.1029/2002jd002475, 2003.
Gordon, G. E.: Atmospheric science: atmospheric chemistry and atmospheric chemistry and physics of air pollution, Science, 235, 1263b–1264b, https://doi.org/10.1126/science.235.4793.1263b, 1987.
Guo, H., Xu, M., and Hu, Q.: Changes in near-surface wind speed in China: 1969–2005, Int. J. Climatol., 31, 349–358, https://doi.org/10.1002/joc.2091, 2011.
Hainan Provincial Bureau of Statistics (Ed.): Hainan Statistical Yearbook 2024, China Statistics Press, Beijing, https://stats.hainan.gov.cn/tjj/tjsu/ndsj/2024/202412/P020250116308974141111.pdf (last access: 12 November 2025), 2024.
Hendrick, F., Müller, J.-F., Clémer, K., Wang, P., De Mazière, M., Fayt, C., Gielen, C., Hermans, C., Ma, J. Z., Pinardi, G., Stavrakou, T., Vlemmix, T., and Van Roozendael, M.: Four years of ground-based MAX-DOAS observations of HONO and NO2 in the Beijing area, Atmos. Chem. Phys., 14, 765–781, https://doi.org/10.5194/acp-14-765-2014, 2014.
Henyey, L. G. and Greenstein, J. L.: Diffuse radiation in the galaxy, Astrophys. J., 93, 70–83, https://doi.org/10.1086/144246, 1941.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2023a.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023b.
Hong, Q., Liu, C., Hu, Q., Zhang, Y., Xing, C., Ou, J., Tan, W., Liu, H., Huang, X., and Wu, Z.: Vertical distribution and temporal evolution of formaldehyde and glyoxal derived from MAX-DOAS observations: The indicative role of VOC sources, J. Environ. Sci. (China), 122, 92–104, https://doi.org/10.1016/j.jes.2021.09.025, 2022.
Hong, Q., Xing, J., Xing, C., Yang, B., Su, W., Chen, Y., Zhang, C., Zhu, Y., and Liu, C.: Investigating vertical distributions and photochemical indications of formaldehyde, glyoxal, and NO2 from MAX-DOAS observations in four typical cities of China, Sci. Total Environ., 954, https://doi.org/10.1016/j.scitotenv.2024.176447, 2024.
Hoque, H. M. S., Irie, H., and Damiani, A.: First MAX-DOAS Observations of Formaldehyde and Glyoxal in Phimai, Thailand, J. Geophys. Res.-Atmos., 123, 9957–9975, https://doi.org/10.1029/2018JD028480, 2018.
Jiang, F., Wang, T., Wang, T., Xie, M., and Zhao, H.: Numerical modeling of a continuous photochemical pollution episode in Hong Kong using WRF–chem, Atmos. Environ., 42, 8717–8727, https://doi.org/10.1016/j.atmosenv.2008.08.034, 2008.
Jiang, Z., Wang, S., Yan, Y., Zhang, S., Xue, R., Gu, C., Zhu, J., Liu, J., and Zhou, B.: Constructing the three-dimensional Spatial Distribution of the
Jin, X., Fiore, A., Boersma, K. F., Smedt, I. D., and Valin, L.: Inferring Changes in Summertime Surface Ozone–NOx–VOC Chemistry over U.S. Urban Areas from Two Decades of Satellite and Ground-Based Observations, Environ. Sci. Technol., 54, 6518–6529, https://doi.org/10.1021/acs.est.9b07785, 2020.
Kavassalis, S. C. and Murphy, J. G.: Understanding ozone-meteorology correlations: A role for dry deposition, Geophys. Res. Lett., 44, 2922–2931, https://doi.org/10.1002/2016gl071791, 2017.
KiranKumar, N. V. P., Jagadeesh, K., Niranjan, K., and Rajeev, K.: Seasonal variations of sea breeze and its effect on the spectral behaviour of surface layer winds in the coastal zone near Visakhapatnam, India, J. Atmos. Sol. Terr. Phy., 186, 1–7, https://doi.org/10.1016/j.jastp.2019.01.013, 2019.
Kumar, V., Beirle, S., Dörner, S., Mishra, A. K., Donner, S., Wang, Y., Sinha, V., and Wagner, T.: Long-term MAX-DOAS measurements of NO2, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain, Atmos. Chem. Phys., 20, 14183–14235, https://doi.org/10.5194/acp-20-14183-2020, 2020.
Lawson, S. J., Selleck, P. W., Galbally, I. E., Keywood, M. D., Harvey, M. J., Lerot, C., Helmig, D., and Ristovski, Z.: Seasonal in situ observations of glyoxal and methylglyoxal over the temperate oceans of the Southern Hemisphere, Atmos. Chem. Phys., 15, 223–240, https://doi.org/10.5194/acp-15-223-2015, 2015.
Lee, Y.-N., Zhou, X., and Hallock, K.: Atmospheric carbonyl compounds at a rural southeastern United States site, J. Geophys. Res.-Atmos., 100, 25933–25944, https://doi.org/10.1029/95JD02605, 1995.
Lerot, C., Hendrick, F., Van Roozendael, M., Alvarado, L. M. A., Richter, A., De Smedt, I., Theys, N., Vlietinck, J., Yu, H., Van Gent, J., Stavrakou, T., Müller, J.-F., Valks, P., Loyola, D., Irie, H., Kumar, V., Wagner, T., Schreier, S. F., Sinha, V., Wang, T., Wang, P., and Retscher, C.: Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation, Atmos. Meas. Tech., 14, 7775–7807, https://doi.org/10.5194/amt-14-7775-2021, 2021.
Li, H., Gong, W., Liu, B., Ma, Y., Jin, S., Wang, W., Fan, R., Jiang, S., Wang, Y., and Tong, Z.: Sea Breeze-Driven Variations in Planetary Boundary Layer Height over Barrow: Insights from Meteorological and Lidar Observations, Remote Sens., 17, 1633, https://doi.org/10.3390/rs17091633, 2025.
Li, Z., Song, L., Ma, H., Xiao, J., Wang, K., and Chen, L.: Observed surface wind speed declining induced by urbanization in East China, Clim. Dynam., 50, 735–749, https://doi.org/10.1007/s00382-017-3637-6, 2018.
Liang, Z. and Wang, D.: Sea breeze and precipitation over Hainan Island, Q. J. R. Meteorolog. Soc., 143, 137–151, https://doi.org/10.1002/qj.2952, 2017.
Liao, J., Wolfe, G. M., Kotsakis, A. E., Nicely, J. M., St. Clair, J. M., Hanisco, T. F., González Abad, G., Nowlan, C. R., Ayazpour, Z., De Smedt, I., Apel, E. C., and Hornbrook, R. S.: Validation of formaldehyde products from three satellite retrievals (OMI SAO, OMPS-NPP SAO, and OMI BIRA) in the marine atmosphere with four seasons of Atmospheric Tomography Mission (ATom) aircraft observations, Atmos. Meas. Tech., 18, 1–16, https://doi.org/10.5194/amt-18-1-2025, 2025.
Liu, G. and Wang, Y.: Vertical distribution characteristics and potential sources of atmospheric pollutants in the North China Plain basing on the MAX-DOAS measurement, Environ. Sci. Eur., 36, 78, https://doi.org/10.1186/s12302-024-00902-z, 2024.
Liu, J., Li, X., Tan, Z., Wang, W., Yang, Y., Zhu, Y., Yang, S., Song, M., Chen, S., Wang, H., Lu, K., Zeng, L., and Zhang, Y.: Assessing the Ratios of Formaldehyde and Glyoxal to NO2 as Indicators of O3–NOx–VOC Sensitivity, Environ. Sci. Technol., 55, 10935-10945, https://doi.org/10.1021/acs.est.0c07506, 2021.
Liu, Q., Liu, D., Gao, Q., Tian, P., Wang, F., Zhao, D., Bi, K., Wu, Y., Ding, S., Hu, K., Zhang, J., Ding, D., and Zhao, C.: Vertical characteristics of aerosol hygroscopicity and impacts on optical properties over the North China Plain during winter, Atmos. Chem. Phys., 20, 3931–3944, https://doi.org/10.5194/acp-20-3931-2020, 2020.
Liu, S., Cheng, S., Ma, J., Xu, X., Lv, J., Jin, J., Guo, J., Yu, D., and Dai, X.: MAX-DOAS Measurements of Tropospheric NO2 and HCHO Vertical Profiles at the Longfengshan Regional Background Station in Northeastern China, Sensors, 23, https://doi.org/10.3390/s23063269, 2023.
Lou, Y., Chen, Y., Chen, X., and Li, R.: Spatiotemporal estimates of anthropogenic NOx emissions across China during 2015–2022 using a deep learning model, J. Hazard. Mater., 487, https://doi.org/10.1016/j.jhazmat.2025.137308, 2025.
Mahajan, A. S., Whalley, L. K., Kozlova, E., Oetjen, H., Mendez, L., Furneaux, K. L., Goddard, A., Heard, D. E., Plane, J. M. C., and Saiz-Lopez, A.: DOAS observations of formaldehyde and its impact on the HOx balance in the tropical Atlantic marine boundary layer, J. Atmos. Chem., 66, 167–178, https://doi.org/10.1007/s10874-011-9200-7, 2010.
Mahajan, A. S., Prados-Roman, C., Hay, T. D., Lampel, J., Pöhler, D., Großmann, K., Tschritter, J., Frieß, U., Platt, U., Johnston, P., Kreher, K., Wittrock, F., Burrows, J. P., Plane, J. M. C., and Saiz-Lopez, A.: Glyoxal observations in the global marine boundary layer, J. Geophys. Res.: Atmos., 119, 6160–6169, https://doi.org/10.1002/2013JD021388, 2014.
Martin, R. V., Parrish, D. D., Ryerson, T. B., Nicks Jr., D. K., Chance, K., Kurosu, T. P., Jacob, D. J., Sturges, E. D., Fried, A., and Wert, B. P.: Evaluation of GOME satellite measurements of tropospheric NO2 and HCHO using regional data from aircraft campaigns in the southeastern United States, J. Geophys. Res.-Atmos., 109, https://doi.org/10.1029/2004JD004869, 2004.
Martins, D. K., Stauffer, R. M., Thompson, A. M., Knepp, T. N., and Pippin, M.: Surface ozone at a coastal suburban site in 2009 and 2010: Relationships to chemical and meteorological processes, J. Geophys. Res.-Atmos., 117, https://doi.org/10.1029/2011JD016828, 2012.
Mason, R. S.: Atmospheric Photochemistry, in: Applied Photochemistry, edited by: Evans, R. C., Douglas, P., and Burrow, H. D., Springer Netherlands, Dordrecht, 217–246, https://doi.org/10.1007/978-90-481-3830-2_5, 2013.
Miller, S. T. K., Keim, B. D., Talbot, R. W., and Mao, H.: Sea breeze: Structure, forecasting, and impacts, Rev. Geophys., 41, https://doi.org/10.1029/2003rg000124, 2003.
Ministry of Ecology and Environment of the People's Republic of China: National Urban Air Quality Report for August 2024, https://www.mee.gov.cn/hjzl/dqhj/cskqzlzkyb/202409/W020240924585303726990.pdf (last access: 8 November 2025), 2024a.
Ministry of Ecology and Environment of the People's Republic of China: National Urban Air Quality Report for July 2024, https://www.mee.gov.cn/hjzl/dqhj/cskqzlzkyb/202408/W020240823817374806303.pdf (last access: 8 November 2025), 2024b.
Ministry of Ecology and Environment of the People's Republic of China: National Urban Air Quality Report for June 2024, https://www.mee.gov.cn/hjzl/dqhj/cskqzlzkyb/202407/W020240725571411086492.pdf (last access: 8 November 2025), 2024c.
Moortgat, G. K., Grossmann, D., Boddenberg, A., Dallmann, G., Ligon, A. P., Turner, W. V., Gäb, S., Slemr, F., Wieprecht, W., Acker, K., Kibler, M., Schlomski, S., and Bächmann, K.: Hydrogen Peroxide, Organic Peroxides and Higher Carbonyl Compounds Determined during the BERLIOZ Campaign, J. Atmos. Chem., 42, 443–463, https://doi.org/10.1023/A:1015743013107, 2002.
Muñoz Sabater, J.: ERA5-Land hourly data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.e2161bac, 2019.
Parker, D. J.: MESOSCALE METEOROLOGY | Overview, in: Encyclopedia of Atmospheric Sciences (Second Edition), edited by: North, G. R., Pyle, J., and Zhang, F., Academic Press, Oxford, 316–322, https://doi.org/10.1016/B978-0-12-382225-3.00478-3, 2015.
Peengam, S., Pariyothon, J., Chanalert, W., Laiwarin, P., and Pattarapanitchai, S.: Characteristics of aerosol optical depth and Ångström exponent indicated aerosol types over a tropical urban and coastal areas in Thailand, Air Quality, Atmosphere & Health, https://doi.org/10.1007/s11869-025-01853-x, 2025.
Peng, S., Zheng, Y., Li, L., Gui, K., Zhu, J., Liu, S., Zhang, H., Zhao, H., Che, H., and Zhang, X.: Long-term variations in aerosol optical properties in Beijing: insights from diurnal and nocturnal continuous measurements, Atmos. Environ., 360, 121416, https://doi.org/10.1016/j.atmosenv.2025.121416, 2025.
Puygrenier, V., Lohou, F., Campistron, B., Saïd, F., Pigeon, G., Bénech, B., and Serça, D.: Investigation on the fine structure of sea-breeze during ESCOMPTE experiment, Atmos. Res., 74, 329–353, https://doi.org/10.1016/j.atmosres.2004.06.011, 2005.
Qu, K., Wang, X., Yan, Y., Shen, J., Xiao, T., Dong, H., Zeng, L., and Zhang, Y.: A comparative study to reveal the influence of typhoons on the transport, production and accumulation of O3 in the Pearl River Delta, China, Atmos. Chem. Phys., 21, 11593–11612, https://doi.org/10.5194/acp-21-11593-2021, 2021.
Ren, J., Guo, F., and Xie, S.: Diagnosing ozone–NOx–VOC sensitivity and revealing causes of ozone increases in China based on 2013–2021 satellite retrievals, Atmos. Chem. Phys., 22, 15035–15047, https://doi.org/10.5194/acp-22-15035-2022, 2022.
Roux, F., Clark, H., Wang, K.-Y., Rohs, S., Sauvage, B., and Nédélec, P.: The influence of typhoons on atmospheric composition deduced from IAGOS measurements over Taipei, Atmos. Chem. Phys., 20, 3945–3963, https://doi.org/10.5194/acp-20-3945-2020, 2020.
Rozanov, V. V., Buchwitz, M., Eichmann, K. U., de Beek, R., and Burrows, J. P.: Sciatran – a new radiative transfer model for geophysical applications in the 240–2400 NM spectral region: the pseudo-spherical version, Adv. Space Res., 29, 1831–1835, https://doi.org/10.1016/S0273-1177(02)00095-9, 2002.
Sander, R.: Compilation of Henry's law constants (version 4.0) for water as solvent, Atmos. Chem. Phys., 15, 4399–4981, https://doi.org/10.5194/acp-15-4399-2015, 2015.
Schreier, S. F., Richter, A., Wittrock, F., and Burrows, J. P.: Estimates of free-tropospheric NO2 and HCHO mixing ratios derived from high-altitude mountain MAX-DOAS observations at midlatitudes and in the tropics, Atmos. Chem. Phys., 16, 2803–2817, https://doi.org/10.5194/acp-16-2803-2016, 2016.
Schreier, S. F., Richter, A., Peters, E., Ostendorf, M., Schmalwieser, A. W., Weihs, P., and Burrows, J. P.: Dual ground-based MAX-DOAS observations in Vienna, Austria: Evaluation of horizontal and temporal NO2, HCHO, and CHOCHO distributions and comparison with independent data sets, Atmos. Environ.: X, 5, 100059, https://doi.org/10.1016/j.aeaoa.2019.100059, 2020.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 3rd, Wiley, ISBN 978-1118947401, 2016.
Song, X., Li, X.-B., Yuan, B., He, X., Chen, Y., Wang, S., Huangfu, Y., Peng, Y., Zhang, C., Liu, A., Yang, H., Liu, C., Li, J., and Shao, M.: Elucidating key factors in regulating budgets of ozone and its precursors in atmospheric boundary layer, npj Clim. Atmos. Sci., 7, https://doi.org/10.1038/s41612-024-00818-8, 2024.
Talbot, C., Augustin, P., Leroy, C., Willart, V., Delbarre, H., and Khomenko, G.: Impact of a sea breeze on the boundary-layer dynamics and the atmospheric stratification in a coastal area of the North Sea, Boundary Layer Meteorol., 125, 133–154, https://doi.org/10.1007/s10546-007-9185-6, 2007.
Vo, T.-D.-H., Lin, C., Weng, C.-E., Yuan, C. S., Lee, C.-W., Hung, C.-H., Xuan-Thanh, B., Lo, K.-C., and Lin, J.-X.: Vertical stratification of volatile organic compounds and their photochemical product formation potential in an industrial urban area, J. Environ. Manage., 217, 327–336, https://doi.org/10.1016/j.jenvman.2018.03.101, 2018.
Vrekoussis, M., Wittrock, F., Richter, A., and Burrows, J. P.: GOME-2 observations of oxygenated VOCs: what can we learn from the ratio glyoxal to formaldehyde on a global scale?, Atmos. Chem. Phys., 10, 10145–10160, https://doi.org/10.5194/acp-10-10145-2010, 2010.
Wagner, T., Beirle, S., Brauers, T., Deutschmann, T., Frieß, U., Hak, C., Halla, J. D., Heue, K. P., Junkermann, W., Li, X., Platt, U., and Pundt-Gruber, I.: Inversion of tropospheric profiles of aerosol extinction and HCHO and NO2 mixing ratios from MAX-DOAS observations in Milano during the summer of 2003 and comparison with independent data sets, Atmos. Meas. Tech., 4, 2685–2715, https://doi.org/10.5194/amt-4-2685-2011, 2011.
Wang, J., Wang, P., Tian, C., Gao, M., Cheng, T., and Mei, W.: Consecutive Northward Super Typhoons Induced Extreme Ozone Pollution Events in Eastern China, npj Clim. Atmos. Sci., 7, https://doi.org/10.1038/s41612-024-00786-z, 2024.
Wang, W., van der A, R., Ding, J., van Weele, M., and Cheng, T.: Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations, Atmos. Chem. Phys., 21, 7253–7269, https://doi.org/10.5194/acp-21-7253-2021, 2021.
Wang, Z., Zhang, H., Shi, C., Ji, X., Zhu, Y., Xia, C., Sun, X., Zhang, M., Lin, X., Yan, S., Zhou, Y., Xing, C., Chen, Y., and Liu, C.: Vertical and spatial differences in ozone formation sensitivities under different ozone pollution levels in eastern Chinese cities, npj Clim. Atmos. Sci., 8, https://doi.org/10.1038/s41612-024-00855-3, 2025.
Waxman, E. M., Elm, J., Kurtén, T., Mikkelsen, K. V., Ziemann, P. J., and Volkamer, R.: Glyoxal and Methylglyoxal Setschenow Salting Constants in Sulfate, Nitrate, and Chloride Solutions: Measurements and Gibbs Energies, Environ. Sci. Technol., 49, 11500–11508, https://doi.org/10.1021/acs.est.5b02782, 2015.
Wolfe, G. M., Nicely, J. M., St. Clair, J. M., Hanisco, T. F., Liao, J., Oman, L. D., Brune, W. B., Miller, D., Thames, A., González Abad, G., Ryerson, T. B., Thompson, C. R., Peischl, J., McKain, K., Sweeney, C., Wennberg, P. O., Kim, M., Crounse, J. D., Hall, S. R., Ullmann, K., Diskin, G., Bui, P., Chang, C., and Dean-Day, J.: Mapping hydroxyl variability throughout the global remote troposphere via synthesis of airborne and satellite formaldehyde observations, Proceedings of the National Academy of Sciences, 116, 11171–11180, https://doi.org/10.1073/pnas.1821661116, 2019.
Wu, M., Wu, D., Fan, Q., Wang, B. M., Li, H. W., and Fan, S. J.: Observational studies of the meteorological characteristics associated with poor air quality over the Pearl River Delta in China, Atmos. Chem. Phys., 13, 10755–10766, https://doi.org/10.5194/acp-13-10755-2013, 2013.
Xin, J., Ma, Y., Zhao, D., Gong, C., Ren, X., Tang, G., Xia, X., Wang, Z., Cao, J., de Arellano, J. V.-G., and Martin, S. T.: The feedback effects of aerosols from different sources on the urban boundary layer in Beijing China, Environ. Pollut., 325, 121440, https://doi.org/10.1016/j.envpol.2023.121440, 2023.
Xing, C., Liu, C., Hu, Q., Fu, Q., Lin, H., Wang, S., Su, W., Wang, W., Javed, Z., and Liu, J.: Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China, Sci. Total Environ., 715, 136258, https://doi.org/10.1016/j.scitotenv.2019.136258, 2020.
Xu, J., Huang, X., Wang, N., Li, Y., and Ding, A.: Understanding ozone pollution in the Yangtze River Delta of eastern China from the perspective of diurnal cycles, Sci. Total Environ., 752, 141928, https://doi.org/10.1016/j.scitotenv.2020.141928, 2021.
Xu, W., Xing, Q., Pan, L., Wang, Z., Cao, X., Yan, W., Xie, W., Meng, X., and Wu, X.: Characterization, source apportionment, and risk assessment of ambient volatile organic compounds in urban and background regions of Hainan Island, China, Atmos. Environ., 316, 120167, https://doi.org/10.1016/j.atmosenv.2023.120167, 2024.
Yan, H. and Anthes, R. A.: The Effect of Variations in Surface Moisture on Mesoscale Circulation, Mon. Weather Rev., 116, 192–208, https://doi.org/10.1175/1520-0493(1988)116<0192:TEOVIS>2.0.CO;2, 1988.
Yang, J. X., Lau, A. K. H., Fung, J. C. H., Zhou, W., and Wenig, M.: An air pollution episode and its formation mechanism during the tropical cyclone Nuri's landfall in a coastal city of south China, Atmos. Environ., 54, 746–753, https://doi.org/10.1016/j.atmosenv.2011.12.023, 2012.
Zhan, J., Zheng, F., Xie, R., Liu, J., Chu, B., Ma, J., Xie, D., Meng, X., Huang, Q., He, H., and Liu, Y.: The role of NOx in Co-occurrence of O3 and PM2.5 pollution driven by wintertime east Asian monsoon in Hainan, J. Environ. Manage., 345, 118645, https://doi.org/10.1016/j.jenvman.2023.118645, 2023.
Zhang, R., Wang, S., Zhang, S., Xue, R., Zhu, J., and Zhou, B.: MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass, J. Environ. Sci., 120, 63–73, https://doi.org/10.1016/j.jes.2021.12.010, 2022.
Zhang, S., Wang, S., Zhang, R., Guo, Y., Yan, Y., Ding, Z., and Zhou, B.: Investigating the Sources of Formaldehyde and Corresponding Photochemical Indications at a Suburb Site in Shanghai From MAX-DOAS Measurements, J. Geophys. Res.-Atmos., 126, https://doi.org/10.1029/2020jd033351, 2021.
Zhang, Y., Man, X., Zhang, S., Liu, L., Kong, F., Feng, T., and Liu, R.: Ground-based MAX-DOAS observations of formaldehyde and glyoxal in Xishuangbanna, China, J. Environ. Sci., 152, 328–339, https://doi.org/10.1016/j.jes.2024.04.036, 2025.
Zhang, Z., Cao, C., Song, Y., Kang, L., and Cai, X.: Statistical characteristics and numerical simulation of sea land breezes in Hainan Island, Journal of Tropical Meteorology, 20, 267–278, https://doi.org/10.16555/j.1006-8775.2014.03.009, 2014.
Zhao, D., Xin, J., Wang, W., Jia, D., Wang, Z., Xiao, H., Liu, C., Zhou, J., Tong, L., Ma, Y., Wen, T., Wu, F., and Wang, L.: Effects of the sea-land breeze on coastal ozone pollution in the Yangtze River Delta, China, Sci. Total Environ., 807, https://doi.org/10.1016/j.scitotenv.2021.150306, 2022.
Zhao, M., Shen, H., Zhang, J., Liu, Y., Sun, Y., Wang, X., Dong, C., Zhu, Y., Li, H., Shan, Y., Mu, J., Zhong, X., Tang, J., Guo, M., Wang, W., and Xue, L.: Carbonyl Compounds Regulate Atmospheric Oxidation Capacity and Particulate Sulfur Chemistry in the Coastal Atmosphere, Environ. Sci. Technol., 58, 17334–17343, https://doi.org/10.1021/acs.est.4c03947, 2024.
Zhu, L., Meng, Z., Zhang, F., and Markowski, P. M.: The influence of sea- and land-breeze circulations on the diurnal variability in precipitation over a tropical island, Atmos. Chem. Phys., 17, 13213–13232, https://doi.org/10.5194/acp-17-13213-2017, 2017.
Zhu, M., Zhu, D., Huang, M., Gong, D., Li, S., Xia, Y., Lin, H., and Altan, O.: Assessing the Impact of Climate Change on the Landscape Stability in the Mediterranean World Heritage Site Based on Multi-Sourced Remote Sensing Data: A Case Study of the Causses and Cévennes, France, Remote Sens., 17, 203, https://doi.org/10.3390/rs17020203, 2025.
Short summary
Based on ground-based remote sensing and sea-land breeze identification algorithms, it is found that sea breezes and typhoons along Hainan Island's coast suppress photochemical reactions but transport ozone precursors to the area. Sea breezes largely confine pollutants below 300 m, while typhoons elevate pollution levels at mid-upper altitudes. These findings highlight that tropical coastal sea breezes and typhoons threaten air quality, necessitating targeted pollution mitigation policies.
Based on ground-based remote sensing and sea-land breeze identification algorithms, it is found...
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