Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5587-2023
© Author(s) 2023. 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-23-5587-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2023
Research article |
| 17 May 2023
| 17 May 2023
Significant contribution of inland ships to the total NOx emissions along the Yangtze River
Xiumei Zhang
CORRESPONDING AUTHOR
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Ronald van der A
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Jieying Ding
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Xin Zhang
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
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Ronald J. van der A, Jieying Ding, and Henk Eskes
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Removal of stratospheric nitrogen oxides is crucial for the formation of the ozone hole. TROPOMI satellite measurements of nitrogen dioxide reveal the presence of a not dissimilar "nitrogen hole" that largely coincides with the ozone hole. Three very distinct regimes were identified: inside and outside the ozone hole and the transition zone in between. Our results introduce a valuable and innovative application highly relevant for Antarctic ozone hole and ozone layer recovery.
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Xiaojuan Lin, Ronald van der A, Jos de Laat, Henk Eskes, Frédéric Chevallier, Philippe Ciais, Zhu Deng, Yuanhao Geng, Xuanren Song, Xiliang Ni, Da Huo, Xinyu Dou, and Zhu Liu
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Satellite observations provide evidence for CO2 emission signals from isolated power plants. We use these satellite observations to quantify emissions. We found that for power plants with multiple observations, the correlation of estimated and reported emissions is significantly improved compared to a single observation case. This demonstrates that accurate estimation of power plant emissions can be achieved by monitoring from future satellite missions with more frequent observations.
Hanqing Kang, Bin Zhu, Gerrit de Leeuw, Bu Yu, Ronald J. van der A, and Wen Lu
Atmos. Chem. Phys., 22, 10623–10634, https://doi.org/10.5194/acp-22-10623-2022, https://doi.org/10.5194/acp-22-10623-2022, 2022
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This study quantified the contribution of each urban-induced meteorological effect (temperature, humidity, and circulation) to aerosol concentration. We found that the urban heat island (UHI) circulation dominates the UHI effects on aerosol. The UHI circulation transports aerosol and its precursor gases from the warmer lower boundary layer to the colder lower free troposphere and promotes the secondary formation of ammonium nitrate aerosol in the cold atmosphere.
Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
Atmos. Chem. Phys., 22, 5925–5942, https://doi.org/10.5194/acp-22-5925-2022, https://doi.org/10.5194/acp-22-5925-2022, 2022
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The importance of convection to the ozone and nitrogen oxides (NOx) produced from lightning has long been an open question. We utilize the high-resolution chemistry model with ozonesondes and space observations to discuss the effects of convection over southeastern China, where few studies have been conducted. Our results show the transport and chemistry contributions for various storms and demonstrate the ability of TROPOMI to estimate the lightning NOx production over small-scale convection.
Cheng Fan, Zhengqiang Li, Ying Li, Jiantao Dong, Ronald van der A, and Gerrit de Leeuw
Atmos. Chem. Phys., 21, 7723–7748, https://doi.org/10.5194/acp-21-7723-2021, https://doi.org/10.5194/acp-21-7723-2021, 2021
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Emission control policy in China has resulted in the decrease of nitrogen dioxide concentrations, which however leveled off and stabilized in recent years, as shown from satellite data. The effects of the further emission reduction during the COVID-19 lockdown in 2020 resulted in an initial improvement of air quality, which, however, was offset by chemical and meteorological effects. The study shows the regional dependence over east China, and results have a wider application than China only.
Wannan Wang, Ronald van der A, Jieying Ding, Michiel van Weele, and Tianhai Cheng
Atmos. Chem. Phys., 21, 7253–7269, https://doi.org/10.5194/acp-21-7253-2021, https://doi.org/10.5194/acp-21-7253-2021, 2021
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We developed a method to determine the type of photochemical regime of ozone formation by using only satellite observations of formaldehyde and nitrogen dioxide as well as ozone measurements on the ground. It was found that many cities in China, because of their high level of air pollution, are in the so-called VOC-limited photochemical regime. This means that the current reductions of nitrogen dioxide resulted in higher levels of photochemical smog in these cities.
Nicola Zoppetti, Simone Ceccherini, Bruno Carli, Samuele Del Bianco, Marco Gai, Cecilia Tirelli, Flavio Barbara, Rossana Dragani, Antti Arola, Jukka Kujanpää, Jacob C. A. van Peet, Ronald van der A, and Ugo Cortesi
Atmos. Meas. Tech., 14, 2041–2053, https://doi.org/10.5194/amt-14-2041-2021, https://doi.org/10.5194/amt-14-2041-2021, 2021
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The new platforms for Earth observation from space will provide an enormous amount of data that can be hard to exploit as a whole. The Complete Data Fusion algorithm can reduce the data volume while retaining the information of the full dataset. In this work, we applied the Complete Data Fusion algorithm to simulated ozone profiles, and the results show that the fused products are characterized by higher information content compared to individual L2 products.
Wannan Wang, Tianhai Cheng, Ronald J. van der A, Jos de Laat, and Jason E. Williams
Atmos. Meas. Tech., 14, 1673–1687, https://doi.org/10.5194/amt-14-1673-2021, https://doi.org/10.5194/amt-14-1673-2021, 2021
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This paper is an evaluation of the AIRS and MLS ozone (O3) algorithms via comparison with daytime and night-time O3 datasets. Results show that further refinements of the AIRS O3 algorithm are required for better surface emissivity retrievals and that cloud cover is another problem that needs to be solved. An inconsistency is found in the
AscDescModeflag of the MLS v4.20 standard O3 product for 90–60° S and 60–90° N, resulting in inconsistent O3 profiles in these regions before May 2015.
Cited articles
Archana, A., Guiselle, A., and Anderson, B.: Port of Los Angeles air
emissions inventory-2009, Starcrest Cobsulting Group, LLC, United States, https://www.portoflosangeles.org/environment/air-quality/air-emissions-inventory (last access: 14 May 2023),
2013.
Capaldo, K., Corbett, J. J., Kasibhatla, P., Fischbeck, P., and Pandis, S.
N.: Effects of ship emissions on sulphur cycling and radiative climate
forcing over the ocean, Nature, 400, 743–746,
https://doi.org/10.1038/23438, 1999.
CCS: The China Classification Society, ship databases [data set], https://www.ccs.org.cn/ccswz/
(last access: 14 May 2023), 2014.
Chen, D., Zhao, Y., Nelson, P., Li, Y., Wang, X., Zhou, Y., Lang, J., and
Guo, X.: Estimating ship emissions based on AIS data for port of Tianjin,
China, Atmos. Environ., 145, 10–18,
https://doi.org/10.1016/j.atmosenv.2016.08.086, 2016.
Chen, D., Wang, X., Nelson, P., Li, Y., Zhao, N., Zhao, Y., Lang, J., Zhou,
Y., and Guo, X.: Ship emission inventory and its impact on the PM2.5
air pollution in Qingdao Port, North China, Atmos. Environ., 166, 351–361,
https://doi.org/10.1016/j.atmosenv.2017.07.021, 2017.
Chen, J., Finlayson, B. L., Wei, T., Sun, Q., Webber, M., Li, M., and Chen,
Z.: Changes in monthly flows in the Yangtze River, China – With special
reference to the Three Gorges Dam, J. Hydrol., 536, 293–301,
https://doi.org/10.1016/j.jhydrol.2016.03.008, 2016.
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.
Collins, B., Sanderson, M. G., and Johnson, C. E.: Impact of increasing ship
emissions on air quality and deposition over Europe by 2030, Meteorol. Z.,
18, 25–39, https://doi.org/10.1127/0941-2948/2008/0296, 2009.
Corbett, J. J.: Emissions from Ships, Science, 278, 823–824,
https://doi.org/10.1126/science.278.5339.823, 1997.
Corbett, J. J., Fischbeck, P. S., and Pandis, S. N.: Global nitrogen and
sulfur inventories for oceangoing ships, J. Geophys. Res., 104, 3457–3470,
https://doi.org/10.1029/1998JD100040, 1999.
Dalsøren, S. B., Endresen, Ø., Isaksen, I. S. A., Gravir, G., and
Sørgård, E.: Environmental impacts of the expected increase in sea
transportation, with a particular focus on oil and gas scenarios for Norway
and northwest Russia, J. Geophys. Res., 112, D02310,
https://doi.org/10.1029/2005JD006927, 2007.
Dalsøren, S. B., Eide, M. S., Endresen, Ø., Mjelde, A., Gravir, G., and Isaksen, I. S. A.: Update on emissions and environmental impacts from the international fleet of ships: the contribution from major ship types and ports, Atmos. Chem. Phys., 9, 2171–2194, https://doi.org/10.5194/acp-9-2171-2009, 2009.
Ding, J., van der A, R. J., Mijling, B., Jalkanen, J.-P., Johansson, L., and
Levelt, P. F.: Maritime NOx emissions over Chinese seas derived from
satellite observations, Geophys. Res. Lett., 45, 2031–2037,
https://doi.org/10.1002/2017GL076788, 2018.
Ding, J., van der A, R. J., Eskes, H. J., Mijling, B., Stavrakou, T., van Geffen, J. H. G. M.,
and Veefkind, J. P.: NOx emissions reduction and rebound in China due to the COVID-19 crisis,
DECSO [data set], https://doi.org/10.1029/2020GL089912, 2020.
Dragović, B., Tzannatos, E., Tselentis, V., Meštrović, R., and
Škurić, M.: Ship emissions and their externalities in cruise ports,
Transp. Res. D Transp. Environ., 61, 289–300,
https://doi.org/10.1016/j.trd.2015.11.007, 2018.
Endresen, Ø.: Emission from international sea transportation and
environmental impact, J. Geophys. Res., 108, D17,
https://doi.org/10.1029/2002JD002898, 2003.
Endresen, Ø., Bakke, J., Sørgård, E., Flatlandsmo Berglen, T., and
Holmvang, P.: Improved modelling of ship SO2 emissions – a fuel-based
approach, Atmos. Environ., 39, 3621–3628,
https://doi.org/10.1016/j.atmosenv.2005.02.041, 2005.
Endresen, Ø., Sørgård, E., Behrens, H. L., Brett, P. O., and
Isaksen, I. S. A.: A historical reconstruction of ships' fuel consumption
and emissions, J. Geophys. Res., 112, D12301,
https://doi.org/10.1029/2006JD007630, 2007.
Entec: Quantification of Emissions from Ships Associated with Ship Movements
between Ports in the European Community, Entec UK Limited, UK, https://publications.jrc.ec.europa.eu/repository/handle/JRC128870 (last access: 14 May 2023), 2002.
EPA (Environmental Protection Agency): ICF International: Current
methodologies in preparing mobile source port-related emission inventories,
Final Report, April 2009, U.S. Environmental Protection Agency, United
States, https://www.epa.gov/moves/ (last access: 14 May 2023), 2009.
Eyring, V., Stevenson, D. S., Lauer, A., Dentener, F. J., Butler, T., Collins, W. J., Ellingsen, K., Gauss, M., Hauglustaine, D. A., Isaksen, I. S. A., Lawrence, M. G., Richter, A., Rodriguez, J. M., Sanderson, M., Strahan, S. E., Sudo, K., Szopa, S., van Noije, T. P. C., and Wild, O.: Multi-model simulations of the impact of international shipping on Atmospheric Chemistry and Climate in 2000 and 2030, Atmos. Chem. Phys., 7, 757–780, https://doi.org/10.5194/acp-7-757-2007, 2007.
Eyring, V., Isaksen, I. S. A., Berntsen, T., Collins, W. J., Corbett, J. J.,
Endresen, O., Grainger, R. G., Moldanova, J., Schlager, H., and Stevenson,
D. S.: Transport impacts on atmosphere and climate: Shipping, Atmos.
Environ., 44, 4735–4771, https://doi.org/10.1016/j.atmosenv.2009.04.059,
2010.
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, 2019.
Fu, Q., Shen, Y., and Zhang, J.: A study of ship air pollutant emission
inventories in Shanghai port, J. Saf. Environ., 12, 57–64,
2012 (in Chinese).
Georgoulias, A. K., Boersma, K. F., van Vliet, J., Zhang, X., van der A, R.,
Zanis, P., and de Laat, J.: Detection of NO2 pollution plumes from
individual ships with the TROPOMI/S5P satellite sensor, Environ. Res. Lett.,
15, 124037, https://doi.org/10.1088/1748-9326/abc445, 2020.
Goldsworthy, L. and Goldsworthy, B.: Modelling of ship engine exhaust
emissions in ports and extensive coastal waters based on terrestrial AIS
data – An Australian case study, Environ. Model. Softw., 63, 45–60,
https://doi.org/10.1016/j.envsoft.2014.09.009, 2015.
Huang, L., Wen, Y., Zhang, Y., Zhou, C., Zhang, F., and Yang, T.: Dynamic
calculation of ship exhaust emissions based on real-time AIS data, Transp.
Res. D Transp. Environ., 80, 102277,
https://doi.org/10.1016/j.trd.2020.102277, 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.
Jalkanen, J.-P., Johansson, L., Kukkonen, J., Brink, A., Kalli, J., and
Stipa, T.: Extension of an assessment model of ship traffic exhaust
emissions for particulate matter and carbon monoxide, Atmos. Chem. Phys.,
12, 2641–2659, https://doi.org/10.5194/acp-12-2641-2012, 2012.
Jalkanen, J.-P., Johansson, L., and Kukkonen, J.: A comprehensive inventory
of ship traffic exhaust emissions in the European sea areas in 2011, Atmos.
Chem. Phys., 16, 71–84, https://doi.org/10.5194/acp-16-71-2016, 2016.
Johansson, L.: Global assessment of shipping emissions in 2015 on a high
spatial and temporal resolution, Atmos. Environ., 167, 403–415, 2017.
Jonson, J. E., Jalkanen, J. P., Johansson, L., Gauss, M., and Denier van der
Gon, H. A. C.: Model calculations of the effects of present and future
emissions of air pollutants from shipping in the Baltic Sea and the North
Sea, Atmos. Chem. Phys., 15, 783–798,
https://doi.org/10.5194/acp-15-783-2015, 2015.
Kalli, J., Jalkanen, J.-P., Johansson, L., and Repka, S.: Atmospheric
emissions of European SECA shipping: long-term projections, WMU J. Marit.
Aff., 12, 129–145, https://doi.org/10.1007/s13437-013-0050-9, 2013.
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.
Kurchaba, S., van Vliet, J., Verbeek, F. J., Meulman, J. J., and Veenman, C.
J.: Supervised Segmentation of NO2 Plumes from Individual Ships Using
TROPOMI Satellite Data, Remote Sens., 14, 5809,
https://doi.org/10.3390/rs14225809, 2022.
Lauer, A., Eyring, V., Hendricks, J., Jöckel, P., and Lohmann, U.: Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget, Atmos. Chem. Phys., 7, 5061–5079, https://doi.org/10.5194/acp-7-5061-2007, 2007.
Li, C., Yuan, Z., Ou, J., Fan, X., Ye, S., Xiao, T., Shi, Y., Huang, Z., Ng,
S. K. W., Zhong, Z., and Zheng, J.: An AIS-based high-resolution ship
emission inventory and its uncertainty in Pearl River Delta region, China,
Sci. Total Environ., 573, 1–10,
https://doi.org/10.1016/j.scitotenv.2016.07.219, 2016.
Li, C., Borken-Kleefeld, J., Zheng, J., Yuan, Z., Ou, J., Li, Y., Wang, Y.,
and Xu, Y.: Decadal evolution of ship emissions in China from 2004 to 2013
by using an integrated AIS-based approach and projection to 2040, Atmos.
Chem. Phys., 18, 6075–6093, https://doi.org/10.5194/acp-18-6075-2018, 2018.
Li, M., Liu, H., Geng, G., Hong, C., Liu, F., Song, Y., Tong, D., Zheng, B.,
Cui, H., Man, H., Zhang, Q., and He, K.: Anthropogenic emission inventories
in China: a review, Natl. Sci. Rev., 4, 834–866,
https://doi.org/10.1093/nsr/nwx150, 2017.
Liu, H., Fu, M., Jin, X., Shang, Y., Shindell, D., Faluvegi, G., Shindell,
C., and He, K.: Health and climate impacts of ocean-going vessels in East
Asia, Nat. Clim. Change, 6, 1037–1041,
https://doi.org/10.1038/nclimate3083, 2016.
Liu, H., Meng, Z.-H., Lv, Z.-F., Wang, X.-T., Deng, F.-Y., Liu, Y., Zhang, Y.-N., Shi, M.-S.,
Zhang, Q., and He, K.-B.: Emissions and health impacts from global shipping embodied
in US – China bilateral trade, SEIM [data set], https://doi.org/10.1038/s41893-019-0414-z, 2019.
Liu, J., Wang, J., Song, C., and Qin, J.: Establishment and application of air
pollution discharge inventory for ships in Qingdao port, Environ. China
Monit., 27, 50–53,
https://doi.org/10.19316/j.issn.1002-6002.2011.03.014, 2011 (in Chinese).
Lv, Z., Liu, H., Ying, Q., Fu, M., Meng, Z., Wang, Y., Wei, W., Gong, H.,
and He, K.: Impacts of shipping emissions on PM2.5 pollution in China,
Atmos. Chem. Phys., 18, 15811–15824,
https://doi.org/10.5194/acp-18-15811-2018, 2018.
MEIC Team: The Multi-resolution Emission Inventory Model for Climate and Air Pollution
Research, MEIC Model [data set], http://www.meicmodel.org/ (last access: 14 May 2023),
2012.
Mijling, B. and van der A, R. J.: Using daily satellite observations to
estimate emissions of short-lived air pollutants on a mesoscopic scale:
daily emission estimates from space, J. Geophys. Res., 117, D17,
https://doi.org/10.1029/2012JD017817, 2012.
MOT (Ministry of Transport): Notice of the Ministry of Transport on printing
and distributing the implementation plan of ship emission control zone in
the waters of Pearl River Delta, Yangtze River Delta and Bohai Rim (Beijing
Tianjin Hebei),
https://xxgk.mot.gov.cn/2020/jigou/haishi/202006/t20200630_3319179.html (last access: 14 May 2023), 2015.
MOT (Ministry of Transport): Notice of the Ministry of Transport on printing
and distributing the implementation plan for the control area of air
pollutant emission from ships,
http://www.gov.cn/zhengce/zhengceku/2018-12/31/content_5444672.html (last access: 14 May 2023), 2018.
MOT (Ministry of Transport): Statistical bulletin on the development of the
transport sector in 2021, available at:
https://xxgk.mot.gov.cn/2020/jigou/zhghs/202205/t20220524_3656659.html (last access: 14 May 2023), 2022.
Moldanová, J., Fridell, E., Popovicheva, O., Demirdjian, B., Tishkova,
V., Faccinetto, A., and Focsa, C.: Characterisation of particulate matter
and gaseous emissions from a large ship diesel engine, Atmos. Environ., 43,
2632–2641, https://doi.org/10.1016/j.atmosenv.2009.02.008, 2009.
Ng, S. K. W., Loh, C., Lin, C., Booth, V., Chan, J. W. M., Yip, A. C. K.,
Li, Y., and Lau, A. K. H.: Policy change driven by an AIS-assisted marine
emission inventory in Hong Kong and the Pearl River Delta, Atmos. Environ.,
76, 102–112, https://doi.org/10.1016/j.atmosenv.2012.07.070, 2013.
Papanastasiou, D. K. and Melas, D.: Climatology and impact on air quality of
sea breeze in an urban coastal environment, Int. J. Climatol., 29, 305–315,
https://doi.org/10.1002/joc.1707, 2009.
Psaraftis, H. N. and Kontovas, C. A.: CO2 emission statistics for the
world commercial fleet, WMU J. Marit. Aff., 8, 1–25,
https://doi.org/10.1007/BF03195150, 2009.
Riess, T. C. V. W., Boersma, K. F., van Vliet, J., Peters, W., Sneep, M.,
Eskes, H., and van Geffen, J.: Improved monitoring of shipping NO2 with
TROPOMI: decreasing NOx emissions in European seas during the COVID-19
pandemic, Atmos. Meas. Tech., 15, 1415–1438,
https://doi.org/10.5194/amt-15-1415-2022, 2022.
Song, S.: Ship emissions inventory, social cost and eco-efficiency in
Shanghai Yangshan port, Atmos. Environ., 82, 288–297,
https://doi.org/10.1016/j.atmosenv.2013.10.006, 2014.
Streets, D. G.: Sulfur dioxide emissions and sulfur deposition from
international shipping in Asian waters, Atmos. Environ., 10, 1573–1582,
1997.
Streets, D. G., Guttikunda, S. K., and Carmichael, G. R.: The growing
contribution of sulfur emissions from ships in Asian waters, 1988–1995,
Atmos. Environ., 34, 4425–4439,
https://doi.org/10.1016/S1352-2310(00)00175-8, 2000
Theotokatos, G. and Tzelepis, V.: A computational study on the performance
and emission parameters mapping of a ship propulsion system, Proc. Inst.
Mech. Eng. M-J. Eng., 229, 58–76, https://doi.org/10.1177/1475090213498715,
2015.
Trozzi, C.: Emission estimate methodology for maritime navigation, U.S.
Environmental Protection Agency, United States, https://www.academia.edu/28998830/Emission_estimate_methodology_for_maritime_navigation (last access: 14 May 2023), 2010.
Tzannatos, E.: Ship emissions and their externalities for the port of
Piraeus – Greece, Atmos. Environ., 44, 400–407,
https://doi.org/10.1016/j.atmosenv.2009.10.024, 2010.
USEPA: Analysis of Commercial Marine Vessels Emissions and Fuel Consumption
Data, U.S. Environmental Protection Agency, http://widit.knu.ac.kr/epa/ebtpages/Air/Mobile_Sources/Marine_Engines/siteout/s2out15.pdf (last access: 14 May 2023), 2000.
Wan, Z., Ji, S., Liu, Y., Zhang, Q., Chen, J., and Wang, Q.: Shipping
emission inventories in China's Bohai Bay, Yangtze River Delta, and Pearl
River Delta in 2018, Mar. Pollut. Bull., 151, 110882,
https://doi.org/10.1016/j.marpolbul.2019.110882, 2020.
Wang, C., Corbett, J. J., and Firestone, J.: Improving spatial
representation of global ship emissions inventories, Environ. Sci. Technol.,
42, 193–199, https://doi.org/10.1021/es0700799, 2008.
Wang, J., Huang, Z., Liu, Y., Chen, S., Wu, Y., He, Y., and Yang, X.: Air
Pollutant Emission Inventory and Pollution Characteristics of Xiamen Ship
Control Area, Environ. Sci., 1–18,
https://doi.org/10.13227/j.hjkx.202001067, 2020 (in Chinese).
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.
Weng, J., Shi, K., Gan, X., Li, G., and Huang, Z.: Ship emission estimation
with high spatial-temporal resolution in the Yangtze River estuary using AIS
data, J. Clean. Prod., 248, 119297,
https://doi.org/10.1016/j.jclepro.2019.119297, 2020.
Xu, W., Yin, C., Xu, X., and Zhang, W.: Emission Inventory and Characteristics
of Air Pollutants from Inland Waterway Vessels in Jiangsu Province, Environ.
Sci., 40, 2595–2606,
https://doi.org/10.13227/j.hjkx.201810207, 2019 (in Chinese).
Xu, X. and Bai, G.: Fuzzy Classification and Implementation Methods for
Tugboat Main Engine Fault, MATEC Web Conf., 95, 11003,
https://doi.org/10.1051/matecconf/20179511003, 2017.
Yang, D., Kwan, S. H., Lu, T., Fu, Q., Cheng, J., Streets, D. G., Wu, Y.,
and Li, J.: An Emission Inventory of Marine Vessels in Shanghai in 2003,
Environ. Sci. Technol., 41, 5183–5190, https://doi.org/10.1021/es061979c,
2007.
Yang, J., Yin, P., Ye, S., Wang, S., Zheng, J., and Qu, J.: Ship Emission
Inventory and Temporal and Spatial Characteristics of Shenzhen City,
Environ. Sci., 36, 1217–1226, 2015 (in Chinese).
Zhang, X., van der A, R. J., Ding, J., Zhang, X., and Yin, Y.: Significant contribution of inland ships
to the total NOx emissions along the Yangtze River, JSEI [data set],
https://www.temis.nl/emissions/region_asia/datapage.php (last access: 14 May 2023),
2023.
Zheng, B., Huo, H., Zhang, Q., Yao, Z. L., Wang, X. T., Yang, X. F., Liu,
H., and He, K. B.: High-resolution mapping of vehicle emissions in China in
2008, Atmos. Chem. Phys., 14, 9787–9805,
https://doi.org/10.5194/acp-14-9787-2014, 2014.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X.,
Peng, L., Qi, J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and
Zhang, Q.: Trends in China's anthropogenic emissions since 2010 as the
consequence of clean air actions, Atmos. Chem. Phys., 18, 14095–14111,
https://doi.org/10.5194/acp-18-14095-2018, 2018.
Zhu, Q., Liao, C., and Wang, L.: Refined ship emission inventory method based on
AIS data, China Environ. Sci., 037, 4493–4500,
https://doi.org/10.3969/j.issn.1000-6923.2017.12.011, 2017 (in Chinese).
Zhu, Y., Lei, Z., Feng, X., Yuan, S., and Liang, W.: A Study on the Emission
Inventory of Air Pollutants from Ships in Jiangsu Section of Yangtze River
Based on AIS Big Data, Environ. Sci. Tech., 32, 41–46, 2019 (in Chinese).
Short summary
We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
We compiled a ship emission inventory based on automatic identification system (AIS) signals in...
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