Articles | Volume 25, issue 20
https://doi.org/10.5194/acp-25-13849-2025
© 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-25-13849-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
27 Oct 2025
Measurement report |
| 27 Oct 2025
| 27 Oct 2025
Measurement report: Six-year DOAS observations reveal post-2020 rebound of ship SO2 emissions in a Shanghai port despite low-sulfur fuel policies
Jiaqi Liu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Shanshan Wang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Institute of Eco-Chongming (IEC), Shanghai, 202162, China
Yan Zhang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Institute of Eco-Chongming (IEC), Shanghai, 202162, China
National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai, 200438, China
Institute of Digitalized Sustainable Transformation, Big Data Institute, Fudan University, Shanghai, 200433, China
Sanbao Zhang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Yuhao Yan
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Zimin Han
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Bin Zhou
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
Institute of Eco-Chongming (IEC), Shanghai, 202162, China
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
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EGUsphere, https://doi.org/10.5194/egusphere-2025-4699, https://doi.org/10.5194/egusphere-2025-4699, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Based on high-time-resolution shipborne measurements, this study examines the sources of iron in aerosols over the Northwest Pacific. We found that non-dust emissions from ships and land-based activities contribute the majority of soluble iron capable of enhancing marine primary productivity, with particularly pronounced contributions in coastal regions and during the summer season. These findings provide improved insight into the influence of human activities on oceanic nutrient supply.
Guangyuan Yu, Yan Zhang, Qian Wang, Zimin Han, Shenglan Jiang, Fan Yang, Xin Yang, and Cheng Huang
Atmos. Chem. Phys., 25, 9497–9518, https://doi.org/10.5194/acp-25-9497-2025, https://doi.org/10.5194/acp-25-9497-2025, 2025
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China has carried out staged low-sulfur fuel policies since 2017. This study simulated the changing spatiotemporal patterns of the impacts of ship emissions on PM2.5 from 2017 to 2021 based on the updated emission inventories and mapping of chemical species in the CMAQ (Community Multiscale Air Quality). Fuel policies caused evident relative changes in inorganic and organic components of the shipping-related PM2.5 over China’s port cities. The driving factors of the interannual, seasonal, and diurnal patterns were discussed.
Jia Liu, Yan Zhang, Shenglan Jiang, Yuqi Xiong, Chenji Jin, Qi Yu, and Weichun Ma
EGUsphere, https://doi.org/10.5194/egusphere-2025-3801, https://doi.org/10.5194/egusphere-2025-3801, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
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To reveal the relationship between nitrogen deposition and carbon sink capacity in coastal wetlands of East Asia, the atmospheric chemical transport models were used in this study. We found that salt marshes have the highest per-area flux, while tidal flats receive more total input due to larger areas. NOx-N is ~20 % higher in mangroves and flats; NH3-N dominates in salt marshes. Deposition varies seasonally and spatially, affecting carbon sinks and linking nitrogen input to climate mitigation.
Bohai Li, Shanshan Wang, Zhiwen Jiang, Yuhao Yan, Sanbao Zhang, Ruibin Xue, Yuhan Shi, Chuanqi Gu, Jian Xu, and Bin Zhou
EGUsphere, https://doi.org/10.5194/egusphere-2025-2588, https://doi.org/10.5194/egusphere-2025-2588, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Based on ground-based remote sensing and sea-land breeze identification algorithms, researchers 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.
Binyu Xiao, Fan Zhang, Zeyu Liu, Yan Zhang, Rui Li, Can Wu, Xinyi Wan, Yi Wang, Yubao Chen, Yong Han, Min Cui, Libo Zhang, Yingjun Chen, and Gehui Wang
Atmos. Chem. Phys., 25, 7053–7069, https://doi.org/10.5194/acp-25-7053-2025, https://doi.org/10.5194/acp-25-7053-2025, 2025
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Intermediate-volatility/semi-volatile organic compounds in gas and particle phases from ship exhausts are enhanced due to the switch of fuels from low sulfur to ultra-low sulfur. The findings indicate that optimization is necessary for the forthcoming global implementation of an ultra-low-sulfur oil policy. Besides, we find that organic diagnostic markers of hopanes in conjunction with the ratio of octadecanoic to tetradecanoic could be considered potential tracers for heavy fuel oil exhausts.
Shengqian Zhou, Ying Chen, Shan Huang, Xianda Gong, Guipeng Yang, Honghai Zhang, Hartmut Herrmann, Alfred Wiedensohler, Laurent Poulain, Yan Zhang, Fanghui Wang, Zongjun Xu, and Ke Yan
Earth Syst. Sci. Data, 16, 4267–4290, https://doi.org/10.5194/essd-16-4267-2024, https://doi.org/10.5194/essd-16-4267-2024, 2024
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Dimethyl sulfide (DMS) is a crucial natural reactive gas in the global climate system due to its great contribution to aerosols and subsequent impact on clouds over remote oceans. Leveraging machine learning techniques, we constructed a long-term global sea surface DMS gridded dataset with daily resolution. Compared to previous datasets, our new dataset holds promise for improving atmospheric chemistry modeling and advancing our comprehension of the climate effects associated with oceanic DMS.
Fan Zhang, Binyu Xiao, Zeyu Liu, Yan Zhang, Chongguo Tian, Rui Li, Can Wu, Yali Lei, Si Zhang, Xinyi Wan, Yubao Chen, Yong Han, Min Cui, Cheng Huang, Hongli Wang, Yingjun Chen, and Gehui Wang
Atmos. Chem. Phys., 24, 8999–9017, https://doi.org/10.5194/acp-24-8999-2024, https://doi.org/10.5194/acp-24-8999-2024, 2024
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Mandatory use of low-sulfur fuel due to global sulfur limit regulations means large uncertainties in volatile organic compound (VOC) emissions. On-board tests of VOCs from nine cargo ships in China were carried out. Results showed that switching from heavy-fuel oil to diesel increased emission factor VOCs by 48 % on average, enhancing O3 and the secondary organic aerosol formation potential. Thus, implementing a global ultra-low-sulfur oil policy needs to be optimized in the near future.
Jian Zhu, Shanshan Wang, Chuanqi Gu, Zhiwen Jiang, Sanbao Zhang, Ruibin Xue, Yuhao Yan, and Bin Zhou
Atmos. Chem. Phys., 24, 8383–8395, https://doi.org/10.5194/acp-24-8383-2024, https://doi.org/10.5194/acp-24-8383-2024, 2024
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In 2022, Shanghai implemented city-wide static management measures during the high-ozone season in April and May, providing a chance to study ozone pollution control. Despite significant emissions reductions, ozone levels increased by 23 %. Statistically, the number of days with higher ozone diurnal variation types increased during the lockdown period. The uneven decline in VOC and NO2 emissions led to heightened photochemical processes, resulting in the observed ozone level rise.
Shenglan Jiang, Yan Zhang, Guangyuan Yu, Zimin Han, Junri Zhao, Tianle Zhang, and Mei Zheng
Atmos. Chem. Phys., 24, 8363–8381, https://doi.org/10.5194/acp-24-8363-2024, https://doi.org/10.5194/acp-24-8363-2024, 2024
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This study aims to provide gridded data on sea-wide concentrations, deposition fluxes, and soluble deposition fluxes with detailed source categories of metals using the modified CMAQ model. We developed a monthly emission inventory of six metals – Fe, Al, V, Ni, Zn, and Cu – from terrestrial anthropogenic, ship, and dust sources in East Asia in 2017. Our results reveal the contribution of each source to the emissions, concentrations, and deposition fluxes of metals in the East Asian seas.
Yuhang Zhang, Jintai Lin, Jhoon Kim, Hanlim Lee, Junsung Park, Hyunkee Hong, Michel Van Roozendael, Francois Hendrick, Ting Wang, Pucai Wang, Qin He, Kai Qin, Yongjoo Choi, Yugo Kanaya, Jin Xu, Pinhua Xie, Xin Tian, Sanbao Zhang, Shanshan Wang, Siyang Cheng, Xinghong Cheng, Jianzhong Ma, Thomas Wagner, Robert Spurr, Lulu Chen, Hao Kong, and Mengyao Liu
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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Our tropospheric NO2 vertical column density product with high spatiotemporal resolution is based on the Geostationary Environment Monitoring Spectrometer (GEMS) and named POMINO–GEMS. Strong hotspot signals and NO2 diurnal variations are clearly seen. Validations with multiple satellite products and ground-based, mobile car and surface measurements exhibit the overall great performance of the POMINO–GEMS product, indicating its capability for application in environmental studies.
Chengzhi Xing, Shiqi Xu, Yuhang Song, Cheng Liu, Yuhan Liu, Keding Lu, Wei Tan, Chengxin Zhang, Qihou Hu, Shanshan Wang, Hongyu Wu, and Hua Lin
Atmos. Chem. Phys., 23, 5815–5834, https://doi.org/10.5194/acp-23-5815-2023, https://doi.org/10.5194/acp-23-5815-2023, 2023
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High RH could contribute to the secondary formation of HONO in the sea atmosphere. High temperature could promote the formation of HONO from NO2 heterogeneous reactions in the sea and coastal atmosphere. The aerosol surface plays a more important role during the above process in coastal and sea cases. The generation rate of HONO from the NO2 heterogeneous reaction in the sea cases is larger than that in inland cases in higher atmospheric layers above 600 m.
Junri Zhao, Weichun Ma, Kelsey R. Bilsback, Jeffrey R. Pierce, Shengqian Zhou, Ying Chen, Guipeng Yang, and Yan Zhang
Atmos. Chem. Phys., 22, 9583–9600, https://doi.org/10.5194/acp-22-9583-2022, https://doi.org/10.5194/acp-22-9583-2022, 2022
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Marine dimethylsulfide (DMS) emissions play important roles in atmospheric sulfur cycle and climate effects. In this study, DMS emissions were estimated by using the machine learning method and drove the global 3D chemical transport model to simulate their climate effects. To our knowledge, this is the first study in the Asian region that quantifies the combined impacts of DMS on sulfate, particle number concentration, and radiative forcings.
Danran Li, Shanshan Wang, Ruibin Xue, Jian Zhu, Sanbao Zhang, Zhibin Sun, and Bin Zhou
Atmos. Chem. Phys., 21, 15447–15460, https://doi.org/10.5194/acp-21-15447-2021, https://doi.org/10.5194/acp-21-15447-2021, 2021
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Satellite-observed HCHO / NO2 ratios are usually used to infer the O3 formation sensitivity regime. However, it only provides the one ratio around overpass time per day. In order to better characterize the O3 formation during the daytime, we proposed to introduce the surface-observed hourly O3 concentration increment and HCHO / NO2 to correct the satellited-observed HCHO / NO2. Moreover, the temporal and spatial variations of HCHO VCDs and the influencing factors in Shanghai were investigated.
Song Gao, Shanshan Wang, Chuanqi Gu, Jian Zhu, Ruifeng Zhang, Yanlin Guo, Yuhao Yan, and Bin Zhou
Atmos. Meas. Tech., 14, 2649–2657, https://doi.org/10.5194/amt-14-2649-2021, https://doi.org/10.5194/amt-14-2649-2021, 2021
Jingyu An, Yiwei Huang, Cheng Huang, Xin Wang, Rusha Yan, Qian Wang, Hongli Wang, Sheng'ao Jing, Yan Zhang, Yiming Liu, Yuan Chen, Chang Xu, Liping Qiao, Min Zhou, Shuhui Zhu, Qingyao Hu, Jun Lu, and Changhong Chen
Atmos. Chem. Phys., 21, 2003–2025, https://doi.org/10.5194/acp-21-2003-2021, https://doi.org/10.5194/acp-21-2003-2021, 2021
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This study established a 4 km × 4 km anthropogenic emission inventory in the Yangtze River Delta region, China, for 2017 based on locally measured emission factors and source profiles. There are high-intensity NOx and NMVOC species emissions in the eastern areas of the region. Toluene, 1,2,4-trimethylbenzene, m,p-xylene, propylene, ethylene, o-xylene, and OVOCs from industry and mobile sources have the highest comprehensive potentials for ozone and secondary organic aerosol formation.
Cited articles
Ahmed, S., Li, T., Zhou, X. Y., Yi, P., Chen, R.: Quantifying the environmental footprints of biofuels for sustainable passenger ship operations, Renew. Sustain. Energ. Rev., 207, 114919, https://doi.org/10.1016/j.rser.2024.114919, 2025.
Andreasen, A. and Mayer, S.: Use of Seawater Scrubbing for SO2 Removal from Marine Engine Exhaust Gas, Energy Fuels, 21, 3274–3279, https://doi.org/10.1021/ef700359w, 2007.
Attah, E. E. and Bucknall, R.: An analysis of the energy efficiency of LNG ships powering options using the EEDI, Ocean Eng., 110, 62–74, https://doi.org/10.1016/j.oceaneng.2015.09.040, 2015.
Cai, S., Wang, Y., Zhao, B., Wang, S., Chang, X., and Hao, J.: The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012–2020, Sci. Total Environ., 580, 197–209, https://doi.org/10.1016/j.scitotenv.2016.11.188, 2017.
Carn, S. A., Clarisse, L., and Prata, A. J.: Multi-decadal satellite measurements of global volcanic degassing, J. Volcanol. Geoth. Res., 311, 99–134, https://doi.org/10.1016/j.jvolgeores.2016.01.002, 2016.
Ceballos-Santos, S., González-Pardo, J., Carslaw, D. C., Santurtún, A., Santibáñez, M., and Fernández-Olmo, I.: Meteorological Normalisation Using Boosted Regression Trees to Estimate the Impact of COVID-19 Restrictions on Air Quality Levels, Int. J. Environ. Res. Publ. Health, 18, https://doi.org/10.3390/ijerph182413347, 2021.
Cesilla de Souza, L. and Eugênio Abel Seabra, J.: Technical-economic and environmental assessment of marine biofuels produced in Brazil, Clean. Environ. Syst., 13, 100195, https://doi.org/10.1016/j.cesys.2024.100195, 2024.
Cheng, Y., Wang, S., Zhu, J., Guo, Y., Zhang, R., Liu, Y., Zhang, Y., Yu, Q., Ma, W., and Zhou, B.: Surveillance of SO2 and NO2 from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance, Atmos. Chem. Phys., 19, 13611–13626, https://doi.org/10.5194/acp-19-13611-2019, 2019.
Claremar, B., Haglund, K., and Rutgersson, A.: Ship emissions and the use of current air cleaning technology: contributions to air pollution and acidification in the Baltic Sea, Earth Syst. Dynam., 8, 901–919, https://doi.org/10.5194/esd-8-901-2017, 2017.
Ducruet, C. and Wang, L.: China's Global Shipping Connectivity: Internal and External Dynamics in the Contemporary Era (1890–2016), Chin. Geogr. Sci., 28, 202–216, https://doi.org/10.1007/s11769-018-0942-x, 2018.
Eger, P., Mathes, T., Zavarsky, A., and Duester, L.: Measurement report: Inland ship emissions and their contribution to NOx and ultrafine particle concentrations at the Rhine, Atmos. Chem. Phys., 23, 8769–8788, https://doi.org/10.5194/acp-23-8769-2023, 2023.
Fan, Q., Zhang, Y., Ma, W., Ma, H., Feng, J., Yu, Q., Yang, X., Ng, S. K. W., Fu, Q., and Chen, L.: Spatial and Seasonal Dynamics of Ship Emissions over the Yangtze River Delta and East China Sea and Their Potential Environmental Influence, Environ. Sci. Technol., 50, 1322–1329, https://doi.org/10.1021/acs.est.5b03965, 2016.
Feng, J., Zhang, Y., Li, S., Mao, J., Patton, A. P., Zhou, Y., Ma, W., Liu, C., Kan, H., Huang, C., An, J., Li, L., Shen, Y., Fu, Q., Wang, X., Liu, J., Wang, S., Ding, D., Cheng, J., Ge, W., Zhu, H., and Walker, K.: The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China, Atmos. Chem. Phys., 19, 6167–6183, https://doi.org/10.5194/acp-19-6167-2019, 2019a.
Feng, X., Ma, Y., Lin, H., Fu, T.-M., Zhang, Y., Wang, X., Zhang, A., Yuan, Y., Han, Z., Mao, J., Wang, D., Zhu, L., Wu, Y., Li, Y., and Yang, X.: Impacts of Ship Emissions on Air Quality in Southern China: Opportunistic Insights from the Abrupt Emission Changes in Early 2020, Environ. Sci. Technol., 57, 16999–17010, https://doi.org/10.1021/acs.est.3c04155, 2023.
Feng, Y., Ning, M., Lei, Y., Sun, Y., Liu, W., and Wang, J.: Defending blue sky in China: Effectiveness of the “Air Pollution Prevention and Control Action Plan” on air quality improvements from 2013 to 2017, J. Environ. Manage., 252, 109603, https://doi.org/10.1016/j.jenvman.2019.109603, 2019b.
Fossum, K. N., Lin, C., O'Sullivan, N., Lei, L., Hellebust, S., Ceburnis, D., Afzal, A., Tremper, A., Green, D., Jain, S., Byčenkienė, S., O'Dowd, C., Wenger, J., and Ovadnevaite, J.: Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas, Atmos. Chem. Phys., 24, 10815–10831, https://doi.org/10.5194/acp-24-10815-2024, 2024.
Friedman, J. H.: Stochastic gradient boosting, Comput. Stat. Data Anal., 38, 367–378, https://doi.org/10.1016/S0167-9473(01)00065-2, 2002.
Gall, J., Yao, A., Razavi, N., Gool, L. V., and Lempitsky, V.: Hough Forests for Object Detection, Tracking, and Action Recognition, IEEE T. Pattern Anal. Mach. Intel., 33, 2188–2202, https://doi.org/10.1109/TPAMI.2011.70, 2011.
Ghanbari Ghozikali, M., Heibati, B., Naddafi, K., Kloog, I., Oliveri Conti, G., Polosa, R., and Ferrante, M.: Evaluation of Chronic Obstructive Pulmonary Disease (COPD) attributed to atmospheric O3, NO2, and SO2 using Air Q Model (2011–2012 year), Environ. Res., 144, 99–105, https://doi.org/10.1016/j.envres.2015.10.030, 2016.
Grange, S. K. and Carslaw, D. C.: Using meteorological normalisation to detect interventions in air quality time series, Sci. Total Environ., 653, 578–588, https://doi.org/10.1016/j.scitotenv.2018.10.344, 2019.
Grange, S. K., Carslaw, D. C., Lewis, A. C., Boleti, E., and Hueglin, C.: Random forest meteorological normalisation models for Swiss PM10 trend analysis, Atmos. Chem. Phys., 18, 6223–6239, https://doi.org/10.5194/acp-18-6223-2018, 2018.
Gu, C., Wang, S., Zhu, J., Wu, S., Duan, Y., Gao, S., and Zhou, B.: Investigation on the urban ambient isoprene and its oxidation processes, Atmos. Environ., 270, 118870, https://doi.org/10.1016/j.atmosenv.2021.118870, 2022.
Guo, Y., Wang, S., Gao, S., Zhang, R., Zhu, J., and Zhou, B.: Influence of ship direct emission on HONO sources in channel environment, Atmos. Environ., 242, 117819, https://doi.org/10.1016/j.atmosenv.2020.117819, 2020.
Hassellöv, I.-M., Turner, D. R., Lauer, A., and Corbett, J. J.: Shipping contributes to ocean acidification, Geophys. Res. Lett., 40, 2731–2736, https://doi.org/10.1002/grl.50521, 2013.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., and Thépaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, https://doi.org/10.1002/qj.3803, 2020.
Jalkanen, J. P., Brink, A., Kalli, J., Pettersson, H., Kukkonen, J., and Stipa, T.: A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area, Atmos. Chem. Phys., 9, 9209–9223, https://doi.org/10.5194/acp-9-9209-2009, 2009.
Kattner, L., Mathieu-Üffing, B., Burrows, J. P., Richter, A., Schmolke, S., Seyler, A., and Wittrock, F.: Monitoring compliance with sulfur content regulations of shipping fuel by in situ measurements of ship emissions, Atmos. Chem. Phys., 15, 10087–10092, https://doi.org/10.5194/acp-15-10087-2015, 2015.
Krause, K., Wittrock, F., Richter, A., Schmitt, S., Pöhler, D., Weigelt, A., and Burrows, J. P.: Estimation of ship emission rates at a major shipping lane by long-path DOAS measurements, Atmos. Meas. Tech., 14, 5791–5807, https://doi.org/10.5194/amt-14-5791-2021, 2021.
Kuttippurath, J.: Improvements in SO2 pollution in India: role of technology and environmental regulations, Environ. Sci. Pollut. Res., 29, 78637–78649, https://doi.org/10.1007/s11356-022-21319-2, 2022.
Li, J., Wang, S., Yang, T., Zhang, S., Zhu, J., Xue, R., Liu, J., Li, X., Ge, Y., and Zhou, B.: Investigating the causes and reduction approaches of nocturnal ozone increase events over Tai'an in the North China Plain, Atmos. Res., 307, 107499, https://doi.org/10.1016/j.atmosres.2024.107499, 2024.
Li, S., Zhang, Y., Zhao, J., Sarwar, G., Zhou, S., Chen, Y., Yang, G., and Saiz-Lopez, A.: Regional and Urban-Scale Environmental Influences of Oceanic DMS Emissions over Coastal China Seas, Atmosphere, 11, 849, https://doi.org/10.3390/atmos11080849, 2020.
Liu, J.: Measurement report: Six-year DOAS observations reveal post-2020 rebound of ship SO2 emissions in Shanghai Port despite low-sulfur fuel regulations (V1), Mendeley [data set], https://doi.org/10.17632/dvc97wxbcz.1, 2025.
Liu, J., Wang, S., Zhang, Y., Yan, Y., Zhu, J., Zhang, S., Wang, T., Tan, Y., and Zhou, B.: Investigation of formaldehyde sources and its relative emission intensity in shipping channel environment, J. Environ. Sci., 142, 142–154, https://doi.org/10.1016/j.jes.2023.06.020, 2024.
Liu, Z., Lu, X., Feng, J., Fan, Q., Zhang, Y., and Yang, X.: Influence of Ship Emissions on Urban Air Quality: A Comprehensive Study Using Highly Time-Resolved Online Measurements and Numerical Simulation in Shanghai, Environ. Sci. Technol., 51, 202–211, https://doi.org/10.1021/acs.est.6b03834, 2017.
Lou, L., Li, J., and Zhong, S.: Sulfur dioxide (SO2) emission reduction and its spatial spillover effect in high-tech industries: based on panel data from 30 provinces in China, Environ. Sci. Pollut. Res., 28, 31340–31357, https://doi.org/10.1007/s11356-021-12755-7, 2021.
Lunde Hermansson, A., Hassellöv, I.-M., Grönholm, T., Jalkanen, J.-P., Fridell, E., Parsmo, R., Hassellöv, J., and Ytreberg, E.: Strong economic incentives of ship scrubbers promoting pollution, Nat. Sustainabil., 7, 812–822, https://doi.org/10.1038/s41893-024-01347-1, 2024.
Luo, Z., Lv, Z., Zhao, J., Sun, H., He, T., Yi, W., Zhang, Z., He, K., and Liu, H.: Shipping-related pollution decreased but mortality increased in Chinese port cities, Nat. Cities, 1, 295–304, https://doi.org/10.1038/s44284-024-00050-8, 2024.
Marshall, G.: An examination of the precipitation regime at Thurston Island, Antarctica, from ECMWF Re-Analysis data, Int. J. Climatol., 20, 255–277, https://doi.org/10.1002/(SICI)1097-0088(20000315)20:3<255::AID-JOC466>3.0.CO;2-M, 2000.
Meyer, A. and Pac, G.: Analyzing the characteristics of plants choosing to opt-out of the Large Combustion Plant Directive, Utilities Policy, 45, 61–68, https://doi.org/10.1016/j.jup.2017.02.001, 2017.
Miller, B. G.: 8 – Coal-Fired Emissions and Legislative Action, in: Clean Coal Engineering Technology, edited by: Miller, B. G., Butterworth-Heinemann, Boston, 301–374, https://doi.org/10.1016/B978-1-85617-710-8.00008-X, 2011.
Mohiuddin, K., Akram, M. N., Islam, M. M., Shormi, M. E., and Wang, X.: Exploring the trends of research: a bibliometric analysis of global ship emission estimation practices, J. Ocean Eng. Mar. Energ., https://doi.org/10.1007/s40722-024-00341-1, 2024.
Moran, M. D.: Application of a Comprehensive Acid Deposition Model in Support of Acid Rain Abatement in Canada, Air Pollution Modeling and Its Application XVII, Springer, Boston, MA, 109–118, https://doi.org/10.1007/978-0-387-68854-1_13, 2007.
Ning, X., Selesnick, I. W., and Duval, L.: Chromatogram baseline estimation and denoising using sparsity (BEADS), Chemometr. Intel. Labor. Syst., 139, 156–167, https://doi.org/10.1016/j.chemolab.2014.09.014, 2014.
Pan, B.: Application of XGBoost algorithm in hourly PM2.5 concentration prediction, IOP Conf. Ser.: Earth Environ. Sci., 113, 012127, https://doi.org/10.1088/1755-1315/113/1/012127, 2018.
Pavlenko, N., Comer, B., Zhou, Y., Clark, N., and Rutherford, D.: The climate implications of using LNG as a marine fuel, Swedish Environmental Protection Agency, Stockholm, https://theicct.org/sites/default/files/publications/Climate_implications_LNG_marinefuel_01282020.pdf (last access: 1 June 2025), 2020.
Shi, J., Zhu, Y., Feng, Y., Yang, J., and Xia, C.: A prompt decarbonization pathway for shipping: green hydrogen, ammonia, and methanol production and utilization in marine engines, Atmosphere, 14, 584, https://doi.org/10.3390/atmos14030584, 2023.
Slaughter, A., Ray, S., and Shattuck, T.: International Maritime Organization (IMO) 2020 strategies in a non-compliant world, International Maritime Organization (IMO), https://globalmaritimehub.com/wp-content/uploads/2020/01/international-maritime-organization-pov-2020.pdf (last access: 1 June 2025), 2020.
Squizzato, S., Masiol, M., Rich, D. Q., and Hopke, P. K.: A long-term source apportionment of PM2.5 in New York State during 2005–2016, Atmos. Environ., 192, 35–47, https://doi.org/10.1016/j.atmosenv.2018.08.044, 2018.
Svanberg, M., Ellis, J., Lundgren, J., and Landälv, I.: Renewable methanol as a fuel for the shipping industry, Renew. Sustain. Energ. Rev., 94, 1217–1228, https://doi.org/10.1016/j.rser.2018.06.058, 2018.
Thor, P., Granberg, M. E., Winnes, H., and Magnusson, K.: Severe Toxic Effects on Pelagic Copepods from Maritime Exhaust Gas Scrubber Effluents, Environ. Sci. Technol., 55, 5826–5835, https://doi.org/10.1021/acs.est.0c07805, 2021.
Tu, E., Zhang, G., Rachmawati, L., Rajabally, E., and Huang, G. B.: Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology, IEEE T. Intel. Transport. Syst., 19, 1559–1582, https://doi.org/10.1109/TITS.2017.2724551, 2018.
Van Aardenne, J. A., Dentener, F. J., Olivier, J. G. J., Goldewijk, C. G. M. K., and Lelieveld, J.: A 1°×1° resolution data set of historical anthropogenic trace gas emissions for the period 1890–1990, Global Biogeochem. Cy., 15, 909–928, https://doi.org/10.1029/2000GB001265, 2001.
Vedachalam, S., Baquerizo, N., and Dalai, A. K.: Review on impacts of low sulfur regulations on marine fuels and compliance options, Fuel, 310, 122243, https://doi.org/10.1016/j.fuel.2021.122243, 2022.
Viana, M., Hammingh, P., Colette, A., Querol, X., Degraeuwe, B., Vlieger, I. D., and van Aardenne, J.: Impact of maritime transport emissions on coastal air quality in Europe, Atmosp. Environ., 90, 96–105, https://doi.org/10.1016/j.atmosenv.2014.03.046, 2014.
von Nieding, G.: Possible mutagenic properties and carcinogenic action of the irritant gaseous pollutants NO2, O3, and SO2, Environ. Health Perspect., 22, 91–92, https://doi.org/10.1289/ehp.782291, 1978.
Vu, T. V., Shi, Z., Cheng, J., Zhang, Q., He, K., Wang, S., and Harrison, R. M.: Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique, Atmos. Chem. Phys., 19, 11303–11314, https://doi.org/10.5194/acp-19-11303-2019, 2019.
Wang, T., Wang, P., Theys, N., Tong, D., Hendrick, F., Zhang, Q., and Van Roozendael, M.: Spatial and temporal changes in SO2 regimes over China in the recent decade and the driving mechanism, Atmos. Chem. Phys., 18, 18063–18078, https://doi.org/10.5194/acp-18-18063-2018, 2018.
Wang, X., Shen, Y., Lin, Y., Pan, J., Zhang, Y., Louie, P. K. K., Li, M., and Fu, Q.: Atmospheric pollution from ships and its impact on local air quality at a port site in Shanghai, Atmos. Chem. Phys., 19, 6315–6330, https://doi.org/10.5194/acp-19-6315-2019, 2019.
Wang, X., Yi, W., Lv, Z., Deng, F., Zheng, S., Xu, H., Zhao, J., Liu, H., and He, K.: Ship emissions around China under gradually promoted control policies from 2016 to 2019, Atmos. Chem. Phys., 21, 13835–13853, https://doi.org/10.5194/acp-21-13835-2021, 2021.
Xiao, G., Wang, T., Chen, X., and Zhou, L.: Evaluation of Ship Pollutant Emissions in the Ports of Los Angeles and Long Beach, J. Mar. Sci. Eng., 10, 1206, https://doi.org/10.3390/jmse10091206, 2022.
Xiao, G., Wang, T., Luo, Y., and Yang, D.: Analysis of port pollutant emission characteristics in United States based on multiscale geographically weighted regression, Front. Marine Sci., 10, https://doi.org/10.3389/fmars.2023.1131948, 2023.
Yang, D., Wu, L., Wang, S., Jia, H., and Li, K. X.: How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications, Transport Rev., 39, 755–773, https://doi.org/10.1080/01441647.2019.1649315, 2019.
Yue, H., He, C., Huang, Q., Yin, D., and Bryan, B. A.: Stronger policy required to substantially reduce deaths from PM2.5 pollution in China, Nat. Commun., 11, 1462, https://doi.org/10.1038/s41467-020-15319-4, 2020.
Zhang, S., Wang, S., Xue, R., Zhu, J., Tanvir, A., Li, D., and Zhou, B.: Impact Assessment of COVID-19 Lockdown on Vertical Distributions of NO2 and HCHO From MAX-DOAS Observations and Machine Learning Models, J. Geophys. Res.-Atmos., 127, e2021JD036377, https://doi.org/10.1029/2021JD036377, 2022.
Zhang, X., Zhang, Y., Liu, Y., Zhao, J., Zhou, Y., Wang, X., Yang, X., Zou, Z., Zhang, C., Fu, Q., Xu, J., Gao, W., Li, N., and Chen, J.: Changes in the SO2 Level and PM2.5 Components in Shanghai Driven by Implementing the Ship Emission Control Policy, Environ. Sci. Technol., 53, 11580–11587, https://doi.org/10.1021/acs.est.9b03315, 2019.
Zhang, X., van der A, R., Ding, J., Zhang, X., and Yin, Y.: Significant contribution of inland ships to the total NOx emissions along the Yangtze River, Atmos. Chem. Phys., 23, 5587–5604, https://doi.org/10.5194/acp-23-5587-2023, 2023.
Zhang, Y., Yang, X., Brown, R., Yang, L., Morawska, L., Ristovski, Z., Fu, Q., and Huang, C.: Shipping emissions and their impacts on air quality in China, Sci. Total Environ., 581–582, 186–198, https://doi.org/10.1016/j.scitotenv.2016.12.098, 2017.
Zhao, J., Zhang, Y., Patton, A. P., Ma, W., Kan, H., Wu, L., Fung, F., Wang, S., Ding, D., and Walker, K.: Projection of ship emissions and their impact on air quality in 2030 in Yangtze River delta, China, Environ. Pollut., 263, 114643, https://doi.org/10.1016/j.envpol.2020.114643, 2020.
Zhong, Q., Shen, H., Yun, X., Chen, Y., Ren, Y. a., Xu, H., Shen, G., Ma, J., and Tao, S.: Effects of International Fuel Trade on Global Sulfur Dioxide Emissions, Environ. Sci. Technol. Lett., 6, 727–731, https://doi.org/10.1021/acs.estlett.9b00617, 2019.
Zhu, J., Wang, S., Wang, H., Jing, S., Lou, S., Saiz-Lopez, A., and Zhou, B.: Observationally constrained modeling of atmospheric oxidation capacity and photochemical reactivity in Shanghai, China, Atmos. Chem. Phys., 20, 1217–1232, https://doi.org/10.5194/acp-20-1217-2020, 2020.
Zhu, J., Wang, S., Zhang, S., Xue, R., Gu, C., and Zhou, B.: Changes in NO3 Radical and Its Nocturnal Chemistry in Shanghai From 2014 to 2021 Revealed by Long-Term Observation and a Stacking Model: Impact of China's Clean Air Action Plan, J. Geophys. Res.-Atmos., 127, e2022JD037438, https://doi.org/10.1029/2022JD037438, 2022.
Zis, T., North, R. J., Angeloudis, P., Ochieng, W. Y., and Harrison Bell, M. M. G.: Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports, Mar. Econ. Logist., 16, 371–398, https://doi.org/10.1057/mel.2014.6, 2014.
Zis, T., North, R. J., Angeloudis, P., Ochieng, W. Y., and Bell, M. G.: Environmental balance of shipping emissions reduction strategies, Transport. Res. Rec. J. Transport. Res. Board, 2479, 25–33, https://doi.org/10.3141/2479-04, 2015.
Zou, Z., Zhao, J., Zhang, C., Zhang, Y., Yang, X., Chen, J., Xu, J., Xue, R., and Zhou, B.: Effects of cleaner ship fuels on air quality and implications for future policy: A case study of Chongming Ecological Island in China, J. Clean. Product., 267, 122088, https://doi.org/10.1016/j.jclepro.2020.122088, 2020.
Short summary
A 6-year study in a Shanghai port shows that during a low-sulfur fuel policies adjustment phase (2018–2020), ship pollution decreased by 43.47 % and 23.08 % yearly, but emissions rebounded by 19.5 % yearly post-2020 as shipping grew. Using air sensors and data analysis, researchers identified cargo ships as key polluters and created a cost-effective monitoring method for global ports. Findings warn that shipping expansion risks air quality progress, urging smarter policies while supporting trade.
A 6-year study in a Shanghai port shows that during a low-sulfur fuel policies adjustment phase...
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