256 citations as recorded by crossref.

1. The impact of nitrogen and sulfur emissions from shipping on the exceedance of critical loads in the Baltic Sea region S. Jutterström et al. 10.5194/acp-21-15827-2021
2. AIS-Based Estimation of Hydrogen Demand and Self-Sufficient Fuel Supply Systems for RoPax Ferries A. Fitz et al. 10.3390/en15103482
3. International maritime regulation decreases sulfur dioxide but increases nitrogen oxide emissions in the North and Baltic Sea W. Van Roy et al. 10.1038/s43247-023-01050-7
4. Prediction of harbour vessel emissions based on machine learning approach Z. Chen et al. 10.1016/j.trd.2024.104214
5. The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
6. A comparative methodological approach for the calculation of ships air emissions and fuel-energy consumption in two major Greek ports E. Doundoulakis & S. Papaefthimiou 10.1080/03088839.2021.1946610
7. Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region C. Geels et al. 10.5194/acp-21-12495-2021
8. Comparing emissions of polyaromatic hydrocarbons and metals from marine fuels and scrubbers A. Lunde Hermansson et al. 10.1016/j.trd.2021.102912
9. Contribution of ship emissions to the concentration of PM2.5: A comprehensive study using AIS data and WRF/Chem model in Bohai Rim Region, China D. Chen et al. 10.1016/j.scitotenv.2017.07.255
10. Measurement report: The effects of SECA regulations on the atmospheric SO2 concentrations in the Baltic Sea, based on long-term observations on the Finnish island, Utö A. Maragkidou et al. 10.5194/acp-25-2443-2025
11. Impact on Population Health of Baltic Shipping Emissions L. Barregard et al. 10.3390/ijerph16111954
12. Developing a new green ship approach for flue gas emission estimation of bulk carriers L. Bilgili & U. Celebi 10.1016/j.measurement.2018.02.002
13. Impact of AIS Data Thinning on Ship Air Pollutant Emissions Inventories Y. Tian et al. 10.3390/atmos13071135
14. A review on carbon emissions of global shipping S. Deng & Z. Mi 10.1007/s44312-023-00001-2
15. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
16. Deep collaborative learning model for port-air pollutants prediction using automatic identification system S. Sim et al. 10.1016/j.trd.2022.103431
17. A distributed real-time power management scheme for shipboard zonal multi-microgrid system P. Xie et al. 10.1016/j.apenergy.2022.119072
18. Volatility of a Ship’s Emissions in the Baltic Sea Using Modelling and Measurements in Real-World Conditions O. Kangasniemi et al. 10.3390/atmos14071175
19. A comprehensive inventory of ship traffic exhaust emissions in the European sea areas in 2011 J. Jalkanen et al. 10.5194/acp-16-71-2016
20. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
21. Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
22. A comprehensive analysis of strategies for reducing GHG emissions in maritime ports R. Sun et al. 10.1016/j.marpol.2024.106455
23. Atmospheric emission assessment for LNG carriers: a state-of-the-art semi-empirical methodology C. Gutiérrez et al. 10.1007/s11356-025-36037-8
24. Ship emissions and the use of current air cleaning technology: contributions to air pollution and acidification in the Baltic Sea B. Claremar et al. 10.5194/esd-8-901-2017
25. Shipping emission inventories in China's Bohai Bay, Yangtze River Delta, and Pearl River Delta in 2018 Z. Wan et al. 10.1016/j.marpolbul.2019.110882
26. COVID-19 impact on maritime traffic and corresponding pollutant emissions. The case of the Port of Barcelona A. Mujal-Colilles et al. 10.1016/j.jenvman.2022.114787
27. Seasonal and Spatial Variability of Atmospheric Emissions from Shipping along the Northern Sea Route N. Figenschau & J. Lu 10.3390/su14031359
28. Spatial–Temporal Distribution Characteristics and Correlation Analysis of Air Pollutants from Ships in Inland Ports L. Tong et al. 10.3390/su142114214
29. Ship emissions measurement in the Arctic by plume intercepts of the Canadian Coast Guard icebreaker Amundsen from the Polar 6 aircraft platform A. Aliabadi et al. 10.5194/acp-16-7899-2016
30. Cost-benefit analysis of ships NOx Emission Control Areas (NECA) along China's coastal area J. Chen et al. 10.1016/j.marpolbul.2025.117830
31. Atmospheric Emissions in Ports Due to Maritime Traffic in Mexico G. Fuentes García et al. 10.3390/jmse9111186
32. Spatial-Temporal Ship Pollution Distribution Exploitation and Harbor Environmental Impact Analysis via Large-Scale AIS Data X. Chen et al. 10.3390/jmse12060960
33. European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions M. Guevara et al. 10.5194/essd-14-2521-2022
34. Policy change driven by an AIS-assisted marine emission inventory in Hong Kong and the Pearl River Delta S. Ng et al. 10.1016/j.atmosenv.2012.07.070
35. Ship emissions in hotelling phase and loading/unloading in Southeast Asia ports P. Nguyen et al. 10.1016/j.trd.2022.103223
36. Estimating Costs and Benefits of Sulphur Content Limits in Ship Fuel J. Kalli et al. 10.1080/15568318.2013.808389
37. Diffusion and Superposition of Ship Exhaust Gas in Port Area Based on Gaussian Puff Model: A Case Study on Shenzhen Port L. Gan et al. 10.3390/jmse11020330
38. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
39. High-spatiotemporal-resolution ship emission inventory of China based on AIS data in 2014 D. Chen et al. 10.1016/j.scitotenv.2017.07.051
40. Interactions Between Lightning and Ship Traffic M. Peterson 10.1029/2023EA002926
41. How Have Divergent Global Emission Trends Influenced Long‐Range Transported Ozone to North America? R. Mathur et al. 10.1029/2022JD036926
42. Techno-economic and Environmental Comparison of Internal Combustion Engines and Solid Oxide Fuel Cells for Ship Applications L. Kistner et al. 10.1016/j.jpowsour.2021.230328
43. Estimating fuel consumption in maritime transport E. Işıklı et al. 10.1016/j.jclepro.2020.124142
44. From Monodisciplinary via Multidisciplinary to an Interdisciplinary Approach Investigating Air-Sea Interactions – a SOLAS Initiative C. Marandino et al. 10.1080/08920753.2020.1773208
45. Low-cost emissions cuts in container shipping: Thinking inside the box H. Doukas et al. 10.1016/j.trd.2021.102815
46. Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
47. A New Perspective at the Ship-Air-Sea-Interface: The Environmental Impacts of Exhaust Gas Scrubber Discharge S. Endres et al. 10.3389/fmars.2018.00139
48. Insights into the spatial distribution of global, national, and subnational greenhouse gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v8.0) M. Crippa et al. 10.5194/essd-16-2811-2024
49. Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
50. Estimated health impacts from maritime transport in the Mediterranean region and benefits from the use of cleaner fuels M. Viana et al. 10.1016/j.envint.2020.105670
51. Improving maritime traffic emission estimations on missing data with CRBMs A. Gutierrez-Torre et al. 10.1016/j.engappai.2020.103793
52. Impact of shipping emissions on air pollution and pollutant deposition over the Barents Sea J. Raut et al. 10.1016/j.envpol.2022.118832
53. IMPROVING TYPHOON AND WAVE FORECASTING ACCURACY USING SHIP OBSERVATION DATA AND ITS IMPACT ON SHIP ROUTE SELECTION T. SHIRAI et al. 10.2208/jscejj.24-17280
54. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
55. Long-term effects of total and source-specific particulate air pollution on incident cardiovascular disease in Gothenburg, Sweden L. Stockfelt et al. 10.1016/j.envres.2017.05.036
56. Long-Term Exposure to Particulate Air Pollution, Black Carbon, and Their Source Components in Relation to Ischemic Heart Disease and Stroke P. Ljungman et al. 10.1289/EHP4757
57. A sampling method for calculating regional ship emission inventories X. Peng et al. 10.1016/j.trd.2020.102617
58. Bayesian probabilistic forecasting for ship emissions J. Liu & O. Duru 10.1016/j.atmosenv.2020.117540
59. Impact of external cost internalization on short sea shipping – The case of the Portugal-Northern Europe trade H. Abreu et al. 10.1016/j.trd.2022.103544
60. Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors M. Karl et al. 10.3390/ijerph17030777
61. Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry H. Huang et al. 10.3390/su12187484
62. Long-term exposure to particulate air pollution and presence and progression of carotid artery plaques - A northern Sweden VIPVIZA cohort study J. Sommar et al. 10.1016/j.envres.2022.113061
63. Waste Heat Source Profiles for Marine Application of Organic Rankine Cycle C. Ng et al. 10.3390/jmse10081122
64. Phosphorus flows on ships: Case study from the Baltic Sea M. Wilewska-Bien et al. 10.1177/1475090218761761
65. Underwater noise emissions from ships during 2014–2020 J. Jalkanen et al. 10.1016/j.envpol.2022.119766
66. Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
67. Techno-economic analysis of renewable fuels for ships carrying bulk cargo in Europe B. Stolz et al. 10.1038/s41560-021-00957-9
68. Big data–driven carbon emission traceability list and characteristics of ships in maritime transportation—a case study of Tianjin Port P. Wang et al. 10.1007/s11356-023-27104-z
69. Methodologies for estimating shipping emissions and energy consumption: A comparative analysis of current methods J. Moreno-Gutiérrez et al. 10.1016/j.energy.2015.04.083
70. Environmental impacts of grey water discharge from ships in the Baltic Sea E. Ytreberg et al. 10.1016/j.marpolbul.2020.110891
71. Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution L. Johansson et al. 10.1016/j.atmosenv.2017.08.042
72. Alternative fuels to reduce greenhouse gas emissions from marine transport and promote UN sustainable development goals Z. Islam Rony et al. 10.1016/j.fuel.2022.127220
73. Parameterizing the vertical downward dispersion of ship exhaust gas in the near field R. Badeke et al. 10.5194/acp-21-5935-2021
74. Estimating ship emissions based on AIS data for port of Tianjin, China D. Chen et al. 10.1016/j.atmosenv.2016.08.086
75. Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data – An Australian case study L. Goldsworthy & B. Goldsworthy 10.1016/j.envsoft.2014.09.009
76. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor A. Georgoulias et al. 10.1088/1748-9326/abc445
77. Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model D. Kramel et al. 10.1021/acs.est.1c03937
78. Towards the declaration of the strait of Gibraltar as an environmental controlled area J. Moreno-Gutiérrez & V. Durán-Grados 10.1016/j.marpolbul.2023.115042
79. Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea I. Maljutenko et al. 10.1016/j.marpolbul.2021.112985
80. Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port S. Liu et al. 10.1093/pnasnexus/pgad391
81. Model for leisure boat activities and emissions – implementation for the Baltic Sea L. Johansson et al. 10.5194/os-16-1143-2020
82. Estimation of shipping emissions based on real-time data with different methods: A case study of an oceangoing container ship A. Ekmekçioğlu et al. 10.1007/s10668-021-01605-8
83. Rapid saturation of cloud water adjustments to shipping emissions P. Manshausen et al. 10.5194/acp-23-12545-2023
84. Effect of ice class to vessel fuel consumption based on real-life MRV data M. Heikkilä et al. 10.1016/j.tranpol.2024.01.014
85. Port-Related Shipping Gas Emissions—A Systematic Review of Research F. Bojić et al. 10.3390/app12073603
86. Atmospheric emissions of European SECA shipping: long-term projections J. Kalli et al. 10.1007/s13437-013-0050-9
87. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. 10.1175/BAMS-D-13-00169.1
88. How to recognize and measure the economic impacts of environmental regulation: The Sulphur Emission Control Area case A. Lähteenmäki-Uutela et al. 10.1016/j.jclepro.2017.03.224
89. Estimation of ship flue gas emissions in dynamic operational conditions with ANN L. Bilgili & U. Buğra Çelebi 10.1177/1475090220979457
90. High aerosol loading over the Bohai Sea: Long-term trend, potential sources, and impacts on surrounding cities L. Li et al. 10.1016/j.envint.2023.108387
91. Modelling of ships as a source of underwater noise J. Jalkanen et al. 10.5194/os-14-1373-2018
92. Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning R. Shelmerdine 10.1016/j.marpol.2014.12.010
93. Shipping emissions and their impacts on air quality in China Y. Zhang et al. 10.1016/j.scitotenv.2016.12.098
94. Significant contribution of inland ships to the total NOx emissions along the Yangtze River X. Zhang et al. 10.5194/acp-23-5587-2023
95. Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
96. Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
97. Quantifying the contribution of shipping NOx emissions to the marine nitrogen inventory – a case study for the western Baltic Sea D. Neumann et al. 10.5194/os-16-115-2020
98. The impact of ship emissions on air quality and human health in the Gothenburg area – Part 1: 2012 emissions L. Tang et al. 10.5194/acp-20-7509-2020
99. Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang 10.1016/j.marpolbul.2023.115968
100. Estimating NOx emissions of individual ships from TROPOMI NO2 plumes T. Riess et al. 10.1016/j.rse.2025.114734
101. Dynamic calculation of ship exhaust emissions based on real-time AIS data L. Huang et al. 10.1016/j.trd.2020.102277
102. Development of exhaust emission factors for vessels: A review and meta-analysis of available data A. Grigoriadis et al. 10.1016/j.aeaoa.2021.100142
103. Ship emissions reduction using weather ship routing optimisation C. Borén et al. 10.1177/14750902221082901
104. Characterization of pollutant discharges from ships within 100 nautical miles of China's coastline and certain inland river ports, 2022 X. Zhang et al. 10.1016/j.marpolbul.2025.117876
105. A Mid-Tier Approach to Estimating Durban’s Port Marine Mobile Emissions: Gauging Air Quality Impacts in South Durban N. Manqele et al. 10.3390/atmos15101207
106. Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. 10.1016/j.cities.2024.104871
107. Impact of a nitrogen emission control area (NECA) on the future air quality and nitrogen deposition to seawater in the Baltic Sea region M. Karl et al. 10.5194/acp-19-1721-2019
108. Estimating spatiotemporal distribution of wastewater generated by ships in coastal areas Y. Shu et al. 10.1016/j.ocecoaman.2022.106133
109. A novel scheme for shore power data to enhance containership-at-berth emission estimation J. Wang et al. 10.1016/j.trd.2024.104353
110. The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. 10.5194/acp-20-10667-2020
111. AIS-Based Scenario Simulation for the Control and Improvement of Ship Emissions in Ports S. Kao et al. 10.3390/jmse10020129
112. Invisible ship tracks show large cloud sensitivity to aerosol P. Manshausen et al. 10.1038/s41586-022-05122-0
113. Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic Sea H. Hellén et al. 10.5194/acp-24-4717-2024
114. Unlocking shore power in St. Lawrence and Great Lakes for cargo ships H. Daniel et al. 10.1016/j.trd.2024.104230
115. Air pollutants from shipping: Costs of NOx emissions to the Baltic Sea I. Gren et al. 10.1016/j.jenvman.2021.113824
116. High-resolution dispersion modelling of PM2.5, PM10, NOx and NO2 exposure in metropolitan areas in Sweden 2000‒2018 – large health gains due to decreased population exposure K. Kilbo Edlund et al. 10.1007/s11869-024-01535-0
117. Emissions in maritime transport: A decomposition analysis from the perspective of production-based and consumption-based emissions R. Li et al. 10.1016/j.marpol.2022.105125
118. Optimising O&M scheduling in offshore wind farms considering weather forecast uncertainty and wake losses M. de Matos Sá et al. 10.1016/j.oceaneng.2024.117518
119. Emissions assessment of bulk carriers in China's east Coast-Yangtze River maritime network based on different shipping modes J. Ye et al. 10.1016/j.oceaneng.2022.110903
120. Event-based wave statistics for the Baltic Sea J. Björkqvist et al. 10.5194/sp-4-osr8-10-2024
121. The impact of marine shipping and its DECA control on air quality in the Pearl River Delta, China H. Liu et al. 10.1016/j.scitotenv.2018.01.033
122. Green shipping: using AIS data to assess global emissions T. Hensel et al. 10.1007/s00550-020-00498-x
123. Optimization of shipping routes with AIS data B. Luin et al. 10.1016/j.tsep.2024.103042
124. A Lifecycle Analysis of a Floating Power Plant Using Biomethane as a Drop-In Fuel for Cold Ironing of Vessels at Anchorage G. Mallouppas et al. 10.3390/en18020253
125. PM2.5 and Dementia in a Low Exposure Setting: The Influence of Odor Identification Ability and APOE J. Andersson et al. 10.3233/JAD-220469
126. Review of Top-Down Method to Determine Atmospheric Emissions in Port. Case of Study: Port of Veracruz, Mexico G. Fuentes García et al. 10.3390/jmse10010096
127. Assessment of shipping emissions on four ports of Portugal R. Nunes et al. 10.1016/j.envpol.2017.08.112
128. The impact of shipping emissions on air pollution in the greater North Sea region – Part 1: Current emissions and concentrations A. Aulinger et al. 10.5194/acp-16-739-2016
129. Ship emission inventory and its impact on the PM 2.5 air pollution in Qingdao Port, North China D. Chen et al. 10.1016/j.atmosenv.2017.07.021
130. A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. 10.1016/j.aeaoa.2021.100132
131. Exposure to source-specific air pollution in residential areas and its association with dementia incidence: a cohort study in Northern Sweden A. Oudin et al. 10.1038/s41598-024-66166-y
132. A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms C. Wang et al. 10.3390/jmse13040690
133. The promises and perils of Automatic Identification System data T. Emmens et al. 10.1016/j.eswa.2021.114975
134. Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
135. Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al. 10.1021/acs.est.0c03627
136. An analysis of an AMSA ship survey and comparison with the Maritime Transport Emission Model (MTEM) R. Smit 10.1016/j.aeaoa.2023.100203
137. Risk assessment of bilge water discharges in two Baltic shipping lanes K. Magnusson et al. 10.1016/j.marpolbul.2017.09.035
138. Exploring the effectiveness of ECA policies in reducing pollutant emissions from merchant ships in Shanghai port waters K. Shi et al. 10.1016/j.marpolbul.2020.111164
139. Estimation of atmospheric emissions from maritime activity in the Veracruz port, Mexico G. Fuentes García et al. 10.1080/10962247.2021.1902421
140. Estimates of Source Spectra of Ships from Long Term Recordings in the Baltic Sea I. Karasalo et al. 10.3389/fmars.2017.00164
141. Estimation and spatio-temporal analysis of ship exhaust emission in a port area L. Huang et al. 10.1016/j.oceaneng.2017.06.015
142. Mobile measurements of ship emissions in two harbour areas in Finland L. Pirjola et al. 10.5194/amt-7-149-2014
143. Power management optimization of hybrid power systems in electric ferries M. Al-Falahi et al. 10.1016/j.enconman.2018.07.012
144. Global air quality and health impacts of domestic and international shipping Y. Zhang et al. 10.1088/1748-9326/ac146b
145. Air emissions from ships in port: Does regulation make a difference? M. Tichavska et al. 10.1016/j.tranpol.2017.03.003
146. Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
147. Field test of available methods to measure remotely SOx and NOx emissions from ships J. Balzani Lööv et al. 10.5194/amt-7-2597-2014
148. Assigning machinery power values for estimating ship exhaust emissions: Comparison of auxiliary power schemes B. Goldsworthy & L. Goldsworthy 10.1016/j.scitotenv.2018.12.014
149. Comparison of the Impact of Ship Emissions in Northern Europe and Eastern China D. Schwarzkopf et al. 10.3390/atmos13060894
150. Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model Y. Kim et al. 10.1016/j.oceaneng.2023.114758
151. Insights into the Global Characteristics of Shipping Exhaust Emissions at Berth M. Sha et al. 10.3390/jmse12091527
152. Changes in the SO2 Level and PM2.5 Components in Shanghai Driven by Implementing the Ship Emission Control Policy X. Zhang et al. 10.1021/acs.est.9b03315
153. Cruise ship emissions in Norwegian waters: A geographical analysis M. Simonsen et al. 10.1016/j.jtrangeo.2019.05.014
154. Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. 10.5194/amt-17-37-2024
155. Estimation of Air Pollutant Emissions from Ships and Their Contributions in Korea S. Seol et al. 10.5572/KOSAE.2021.37.2.324
156. Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tra.2015.05.021
157. Estimation of CO2 emissions for ship activities at container port as an effort towards a green port index M. Budiyanto et al. 10.1016/j.egyr.2022.10.090
158. Quantitative impact of decarbonization options on air pollutants from different ship types A. Grigoriadis et al. 10.1016/j.trd.2024.104316
159. Emissions Assessment of Container Ships Sailing under Off-Design Conditions C. Borén et al. 10.3390/jmse11101983
160. Comparing modelled and measured exhaust gas components from two LNG-powered ships M. Heikkilä et al. 10.1016/j.aeaoa.2024.100275
161. Long-term exposure to particulate air pollution and black carbon in relation to natural and cause-specific mortality: a multicohort study in Sweden J. Nilsson Sommar et al. 10.1136/bmjopen-2020-046040
162. Health and climate impacts of ocean-going vessels in East Asia H. Liu et al. 10.1038/nclimate3083
163. Air quality and radiative impacts of Arctic shipping emissions in the summertime in northern Norway: from the local to the regional scale L. Marelle et al. 10.5194/acp-16-2359-2016
164. Health Impact of Air Pollution from Shipping in the Baltic Sea: Effects of Different Spatial Resolutions in Sweden N. Mwase et al. 10.3390/ijerph17217963
165. Valuating environmental impacts from ship emissions – The marine perspective E. Ytreberg et al. 10.1016/j.jenvman.2021.111958
166. Management Control Systems in port waste management: Evidence from Italy A. Di Vaio et al. 10.1016/j.jup.2018.12.001
167. Game Theory-Based shore power Analysis: From the perspective of policy makers S. Wang et al. 10.1016/j.cstp.2024.101341
168. Merging Multiple System Perspectives: The Key to Effective Inland Shipping Emission-Reduction Policy Design S. van der Werff et al. 10.3390/jmse13040716
169. Comprehensive techno-economic assessment of power technologies and synthetic fuels under discussion for ship applications L. Kistner et al. 10.1016/j.rser.2023.113459
170. Ship emission variations during the COVID-19 from global and continental perspectives W. Yi et al. 10.1016/j.scitotenv.2024.176633
171. Costs and benefits of low-sulphur fuel standard for Baltic Sea shipping J. Antturi et al. 10.1016/j.jenvman.2016.09.064
172. Underwater Noise Emissions from Ships During 2014-2020 J. Jalkanen et al. 10.2139/ssrn.3951731
173. Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. 10.5194/acp-23-1825-2023
174. Calculating ships' real emissions of pollutants and greenhouse gases: Towards zero uncertainties J. Moreno-Gutiérrez & V. Durán-Grados 10.1016/j.scitotenv.2020.141471
175. Airborne emission measurements of SO2 , NOx and particles from individual ships using a sniffer technique J. Beecken et al. 10.5194/amt-7-1957-2014
176. Estimation and dispersion analysis of shipping emissions in Bandirma Port, Turkey S. Kuzu et al. 10.1007/s10668-020-01057-6
177. Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries M. Al-Falahi et al. 10.1016/j.energy.2019.115923
178. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
179. Local Arctic air pollution: Sources and impacts K. Law et al. 10.1007/s13280-017-0962-2
180. Management Innovation for Environmental Sustainability in Seaports: Managerial Accounting Instruments and Training for Competitive Green Ports beyond the Regulations A. Di Vaio & L. Varriale 10.3390/su10030783
181. Environmental cost and eco-efficiency from vessel emissions in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tre.2015.09.002
182. A comprehensive ship weather routing system using CMEMS products and A* algorithm M. Grifoll et al. 10.1016/j.oceaneng.2022.111427
183. Local Standards, Behavioral Adjustments, and Welfare: Evaluating California’s Ocean-Going Vessel Fuel Rule R. Klotz & J. Berazneva 10.1086/717585
184. Shanghai Port Carbon Emission Measurement Study L. Zhang 10.54097/fbem.v2i1.154
185. Spatial and Seasonal Dynamics of Ship Emissions over the Yangtze River Delta and East China Sea and Their Potential Environmental Influence Q. Fan et al. 10.1021/acs.est.5b03965
186. A Real-Time Power Management Strategy for Hybrid Electrical Ships Under Highly Fluctuated Propulsion Loads P. Xie et al. 10.1109/JSYST.2022.3177843
187. Implementation of AIS Data for Estimation of Fuel Oil Consumption and Energy Efficiency Operational Index (EEOI) H. Prastowo et al. 10.1088/1755-1315/1461/1/012048
188. Emission Abatement Technology Selection, Routing and Speed Optimization of Hybrid Ships A. Ritari et al. 10.3390/jmse9090944
189. Flexible Optimization of International Shipping Routes considering Carbon Emission Cost Y. Yu et al. 10.1155/2021/6678473
190. The impact of low-sulfur marine fuel policy on air pollution in global coastal cities J. Shi et al. 10.1016/j.horiz.2024.100130
191. China’s embodied environmental impact on the Global Commons through provincial and spillover perspectives H. Zhao et al. 10.1088/1748-9326/acb729
192. Evaluation of emission reduction strategies for berthing containerships: A case study of the Shekou Container Terminal Z. Wan et al. 10.1016/j.jclepro.2021.126820
193. Investment Analysis of Waste Heat Recovery System Installations on Ships’ Engines E. Olaniyi & G. Prause 10.3390/jmse8100811
194. Sustainability issues in maritime transport and main challenges of the shipping industry V. Koilo 10.21511/ee.10(1).2019.04
195. The inland waterway ship emission inventory modeling: The Yangtze River case X. Peng et al. 10.1016/j.trd.2024.104138
196. Health Impact of PM10, PM2.5 and Black Carbon Exposure Due to Different Source Sectors in Stockholm, Gothenburg and Umea, Sweden D. Segersson et al. 10.3390/ijerph14070742
197. Estimating emissions from fishing vessels: a big Beidou data analytical approach K. Zhang et al. 10.3389/fmars.2024.1418366
198. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies M. Crippa et al. 10.5194/essd-15-2667-2023
199. Impact of the emissions of international sea traffic on airborne deposition to the Baltic Sea and concentrations at the coastline⁎⁎The research has received funding from the European Regional Development Fund, Central Baltic INTERREG IV A programme within the SNOOP project. M. Hongisto 10.5697/oc.56-2.349
200. Shipping emissions in the Iberian Peninsula and the impacts on air quality R. Nunes et al. 10.5194/acp-20-9473-2020
201. Sea Port SO2 Atmospheric Emissions Influence on Air Quality and Exposure at Veracruz, Mexico G. Fuentes García et al. 10.3390/atmos13121950
202. The impact of shipping emissions on air pollution in the greater North Sea region – Part 2: Scenarios for 2030 V. Matthias et al. 10.5194/acp-16-759-2016
203. Spatio-temporal Analysis of the factors affecting NOx concentration during the evaluation cycle of high pollution episodes in Tehran metropolitan M. Zarghamipour et al. 10.1016/j.apr.2024.102177
204. Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data B. Goldsworthy et al. 10.1016/j.atmosenv.2019.116829
205. CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling J. Kuenen et al. 10.5194/essd-14-491-2022
206. From Kitchen to Air: Emissions from India’s Thriving Restaurant Food Service Sector M. Gupta et al. 10.1021/acsestair.4c00043
207. Inland port vessel emissions inventory based on Ship Traffic Emission Assessment Model–Automatic Identification System Y. Zhang et al. 10.1177/1687814017712878
208. Long-term residential exposure to source-specific particulate matter and incidence of diabetes mellitus — A cohort study in northern Sweden J. Sommar et al. 10.1016/j.envres.2022.114833
209. AIS in maritime research M. Svanberg et al. 10.1016/j.marpol.2019.103520
210. Microscopic Approach to Evaluate Energy Consumption and Emissions from Ships B. Ciuffo & A. Miola 10.3141/2273-06
211. Power models and average ship parameter effects on marine emissions inventories I. Brown & M. Aldridge 10.1080/10962247.2019.1580229
212. Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. 10.5194/gmd-15-4077-2022
213. Life-cycle cost analysis of an innovative marine dual-fuel engine under uncertainties K. Bui et al. 10.1016/j.jclepro.2022.134847
214. A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
215. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
216. The evolution of shipping emissions and the costs of regulation changes in the northern EU area L. Johansson et al. 10.5194/acp-13-11375-2013
217. Evaluating long-term operational data of a Very Large Crude Carrier: Assessing the diesel engines waste heat potential for integrating ORC systems A. Stainchaouer et al. 10.1016/j.applthermaleng.2024.123974
218. Examining the influence of port ship activities on pollutant emissions in port environments X. Gao et al. 10.1016/j.heliyon.2024.e41208
219. Emission Inventory for Maritime Shipping Emissions in the North and Baltic Sea F. Dettner & S. Hilpert 10.3390/data8050085
220. Emission factors of SO2, NOx and particles from ships in Neva Bay from ground-based and helicopter-borne measurements and AIS-based modeling J. Beecken et al. 10.5194/acp-15-5229-2015
221. The Future Impact of Shipping Emissions on Air Quality in Europe under Climate Change M. Russo et al. 10.3390/atmos14071126
222. Characterization of OMI tropospheric NO2 over the Baltic Sea region I. Ialongo et al. 10.5194/acp-14-7795-2014
223. Assessing Shipping Induced Emissions Impact on Air Quality with Various Techniques: Initial Results of the SCIPPER project S. Mamarikas et al. 10.1016/j.trpro.2023.11.699
224. Impact of ship-borne nitrogen deposition on the Gulf of Finland ecosystem: an evaluation**The work presented in this study was jointly funded by the European Regional Development Fund, Central Baltic INTERREG IV A Programme within the project SNOOP and the European Union’s Seventh Framework Programme FP/2007–2011 within the projects ECOSUPPORT, grant agreement No. 217246. U. Raudsepp et al. 10.5697/oc.55-4.837
225. The influence of the waterjet propulsion system on the ships' energy consumption and emissions inventories V. Durán-Grados et al. 10.1016/j.scitotenv.2018.02.291
226. Improved daily PM 2.5 estimates in India reveal inequalities in recent enhancement of air quality A. Kawano et al. 10.1126/sciadv.adq1071
227. Hierarchical Bayesian propulsion power models — A simplified example with cruise ships A. Solonen et al. 10.1016/j.oceaneng.2023.115226
228. Comparison of different plant layouts and fuel storage solutions for fuel cells utilization on a small ferry C. Dall’Armi et al. 10.1016/j.ijhydene.2021.02.138
229. Shipping and Air Quality in Italian Port Cities: State-of-the-Art Analysis of Available Results of Estimated Impacts E. Merico et al. 10.3390/atmos12050536
230. Effects of strengthening the Baltic Sea ECA regulations J. Jonson et al. 10.5194/acp-19-13469-2019
231. Future Ship Emission Scenarios with a Focus on Ammonia Fuel D. Schwarzkopf et al. 10.3390/atmos14050879
232. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. 10.1175/BAMS-D-13-00169.1.2016.1.test
233. Data analytics for fuel consumption management in maritime transportation: Status and perspectives R. Yan et al. 10.1016/j.tre.2021.102489
234. Model calculations of the effects of present and future emissions of air pollutants from shipping in the Baltic Sea and the North Sea J. Jonson et al. 10.5194/acp-15-783-2015
235. Air quality monitoring in communities of the Canadian Arctic during the high shipping season with a focus on local and marine pollution A. Aliabadi et al. 10.5194/acp-15-2651-2015
236. Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
237. The local ship speed reduction effect on black carbon emissions measured at a remote marine station M. Heikkilä et al. 10.5194/acp-24-8927-2024
238. Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic D. Toscano & F. Murena 10.1016/j.aeaoa.2019.100050
239. Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
240. Refinement of a model for evaluating the population exposure in an urban area J. Soares et al. 10.5194/gmd-7-1855-2014
241. Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis X. Luo et al. 10.1016/j.energy.2024.133187
242. Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
243. Urban population exposure to NOx emissions from local shipping in three Baltic Sea harbour cities – a generic approach M. Ramacher et al. 10.5194/acp-19-9153-2019
244. Modelling the dispersion of particle numbers in five European cities J. Kukkonen et al. 10.5194/gmd-9-451-2016
245. Local Arctic Air Pollution: A Neglected but Serious Problem J. Schmale et al. 10.1029/2018EF000952
246. The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) W. Yi et al. 10.5194/essd-17-277-2025
247. A Comprehensive Inventory of the Ship Traffic Exhaust Emissions in the Baltic Sea from 2006 to 2009 J. Jalkanen et al. 10.1007/s13280-013-0389-3
248. Implementation of different big-leaf canopy reduction functions in the Biogenic Emission Inventory System (BEIS) and their impact on concentrations of oxidized nitrogen species in northern Europe J. Arndt et al. 10.1016/j.atmosenv.2018.07.035
249. An evaluation of the photochemical air quality modeling using CMAQ in the industrial area of Quintero-Puchuncavi-Concon, Chile E. Pino-Cortés et al. 10.1016/j.apr.2022.101336
250. The contribution of shipping to the emission of water and air pollutants in the northern Adriatic Sea - current and future scenarios L. Calgaro et al. 10.1016/j.marpolbul.2025.117573
251. Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes S. Ausmeel et al. 10.5194/amt-12-4479-2019
252. Comparison of High-Resolution Gridded Emission Maps of Anthropogenic Carbon Dioxide in Europe: GRACED & CAMS-REG Q. Shi et al. 10.1021/acs.est.4c07289
253. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. 10.1016/j.atmosenv.2018.12.059
254. Trends in Vessel Atmospheric Emissions in the Central Mediterranean over the Last 10 Years and during the COVID-19 Outbreak M. Saliba et al. 10.3390/jmse9070762
255. An AIS-based high-resolution ship emission inventory and its uncertainty in Pearl River Delta region, China C. Li et al. 10.1016/j.scitotenv.2016.07.219
256. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012