58 citations as recorded by crossref.

1. Surveillance of ship emissions and fuel sulfur content based on imaging detection and multi-task deep learning K. Cao et al. 10.1016/j.envpol.2021.117698
2. Ship emission monitoring sensor web for research and application F. Zhou et al. 10.1016/j.oceaneng.2022.110980
3. Remote Detection of Different Marine Fuels in Exhaust Plumes by Onboard Measurements in the Baltic Sea Using Single-Particle Mass Spectrometry E. Rosewig et al. 10.3390/atmos14050849
4. Tracking and measuring plumes from sailing ships using an unmanned aerial vehicle F. Zhou et al. 10.1049/itr2.12256
5. Measurement of Sulfur-Dioxide Emissions from Ocean-Going Vessels in Belgium Using Novel Techniques W. Van Roy et al. 10.3390/atmos13111756
6. Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
7. Prospect Theory based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation C. Lu et al. 10.32604/cmc.2020.012556
8. Investigation of Long Term Changes in Trace Gases and First Retrieval of Nitrogen Dioxide Surface Mixing Ratio over Major Ports Using Satellite Data W. Choi et al. 10.5572/KOSAE.2018.34.6.822
9. Histopathological Evaluation of the Cerebrum in Neonatal Rats Following PM2.5 Particle Inhalation M. Momayez Sefat et al. 10.1007/s11270-023-06724-8
10. Health risks and air quality by PM2.5 in the leeward area of the Asian continent in the preceding year of the MARPOL Treaty enforcement X. Zhang & M. Aikawa 10.1007/s11869-024-01514-5
11. Air Pollutant Emission Factors of Inland River Ships under Compliance F. Zhou et al. 10.3390/jmse12101732
12. 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
13. Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning S. Kurchaba et al. 10.1016/j.rse.2023.113761
14. Monitoring the compliance of sailing ships with fuel sulfur content regulations using unmanned aerial vehicle (UAV) measurements of ship emissions in open water F. Zhou et al. 10.5194/amt-13-4899-2020
15. Using a Convolutional Neural Network and Mid-Infrared Spectral Images to Predict the Carbon Dioxide Content of Ship Exhaust Z. Zhang et al. 10.3390/rs15112721
16. Ship fuel sulfur content prediction based on convolutional neural network and ultraviolet camera images K. Cao et al. 10.1016/j.envpol.2021.116501
17. SO2 compliance monitoring and emission characteristics analysis of navigating ships: A case study of Shanghai waters in emission control areas, China M. Deng et al. 10.1016/j.apr.2022.101560
18. Alzheimer and depressive cognitive-like behaviors in male and female rats: A new method for exposure to ambient air pollution S. Motesaddi Zarandi et al. 10.1016/j.mex.2019.03.018
19. MAX-DOAS observations of ship emissions in the North Sea A. Mahajan et al. 10.1016/j.marpolbul.2024.116761
20. 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
21. Research on Monitoring Method of Fuel Sulfur Content of Ships in Tianjin Port Q. Songbo et al. 10.1088/1742-6596/2009/1/012073
22. A Diffused Mini-Sniffing Sensor for Monitoring SO2 Emissions Compliance of Navigating Ships M. Deng et al. 10.3390/s22145198
23. Measurement of SO2 and NO2 in Ship Plumes Using Rotary Unmanned Aerial System F. Zhou et al. 10.3390/atmos10110657
24. Attribution of atmospheric sulfur dioxide over the English Channel to dimethyl sulfide and changing ship emissions M. Yang et al. 10.5194/acp-16-4771-2016
25. Compliance and port air quality features with respect to ship fuel switching regulation: a field observation campaign, SEISO-Bohai Y. Zhang et al. 10.5194/acp-19-4899-2019
26. Perspectives on shipping emissions and their impacts on the surface ocean and lower atmosphere: An environmental-social-economic dimension Z. Shi et al. 10.1525/elementa.2023.00052
27. Liquid fuel processing for hydrogen production: A review J. Bae et al. 10.1016/j.ijhydene.2016.08.135
28. Surveillance of SO<sub>2</sub> and NO<sub>2</sub> from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance Y. Cheng et al. 10.5194/acp-19-13611-2019
29. Evaluating Impact of Ship Emissions on Atmospheric Environment - Air Quality Improvement Triggered by 2020 Global Sulphur Cap K. Yamaji & M. Tauchi 10.5988/jime.57.601
30. Compliance with MARPOL Annex VI regulation 14 by ships in the Gulf of Guinea sub-region: Issues, challenges and opportunities I. Animah et al. 10.1016/j.trd.2018.03.020
31. Performance assessment of state-of-the-art and novel methods for remote compliance monitoring of sulfur emissions from shipping J. Beecken et al. 10.5194/amt-16-5883-2023
32. Monitoring shipping emissions in the German Bight using MAX-DOAS measurements A. Seyler et al. 10.5194/acp-17-10997-2017
33. Analysing the environmental impact of IMO sulphur regulation 2020, annex VI, MARPOL A. Singh & S. Shanthakumar 10.56398/ajacieda.00072
34. Airborne survey of trace gases and aerosols over the Southern Baltic Sea: from clean marine boundary layer to shipping corridor effect M. Zanatta et al. 10.1080/16000889.2019.1695349
35. The enforcement of ECA regulations: inspection strategy for on-board fuel sampling L. Li et al. 10.1007/s10878-021-00756-8
36. Single-Vessel Plume Dispersion Simulation: Method and a Case Study Using CALPUFF in the Yantian Port Area, Shenzhen (China) S. Bai et al. 10.3390/ijerph17217831
37. Determination of NOx emission rates of inland ships from onshore measurements K. Krause et al. 10.5194/amt-16-1767-2023
38. Method to identify fuel sulphur content (FSC) violations of ongoing vessels using CFD modelling N. Rapkos et al. 10.1016/j.atmosenv.2023.119912
39. UAV Inspection of Compliance of Fuel Sulfur Content of Sailing Ships in the Pearl River Delta, China J. Hu et al. 10.3390/atmos13111894
40. Determination of the Influence of Fuel Switching Regulation on the Sulfur Dioxide Content of Air in a Port Area Using DID Model F. Zhou et al. 10.1155/2021/6679682
41. Dynamic Programming-Based Vessel Speed Adjustment for Energy Saving and Emission Reduction K. Kim & K. Lee 10.3390/en11051273
42. Estimation of ship emission rates at a major shipping lane by long-path DOAS measurements K. Krause et al. 10.5194/amt-14-5791-2021
43. The variation of PM2.5 from ship emission under low-sulfur regulation: A case study in the coastal suburbs of Kitakyushu, Japan X. Zhang & M. Aikawa 10.1016/j.scitotenv.2022.159968
44. Detection and analysis of ship emissions using single-particle mass spectrometry: A land-based field study in the port of rostock, Germany E. Rosewig et al. 10.1016/j.aeaoa.2024.100302
45. Effects of marine fuel sulfur restrictions on particle number concentrations and size distributions in ship plumes in the Baltic Sea S. Seppälä et al. 10.5194/acp-21-3215-2021
46. Analysis of the Concentration of Emissions from the Spanish Fleet of Tugboats A. Ortega-Piris et al. 10.3390/atmos13122109
47. Anaerobic hydrocarbon biodegradation and biocorrosion of carbon steel in marine environments: The impact of different ultra low sulfur diesels and bioaugmentation D. Aktas et al. 10.1016/j.ibiod.2016.12.013
48. How shipowners have adapted to sulphur regulations – Evidence from Finnish seaborne trade T. Solakivi et al. 10.1016/j.cstp.2019.03.010
49. Numerical modelling of sulfur dioxide absorption for spray scrubbing T. Bešenić et al. 10.1016/j.enconman.2020.112762
50. Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions F. Zhou et al. 10.5194/amt-12-6113-2019
51. Detection of ship plumes from residual fuel operation in emission control areas using single-particle mass spectrometry J. Passig et al. 10.5194/amt-14-4171-2021
52. Review on Sensors for Sustainable and Safe Maritime Mobility G. Briguglio & V. Crupi 10.3390/jmse12020353
53. An improved method for optimizing detection bands of marine exhaust SO2 concentration in ultraviolet dual-band measurements based on signal-to-noise ratio Z. Zhang et al. 10.1016/j.apr.2022.101479
54. A Study on Monitoring and Supervision of Ship Nitrogen-Oxide Emissions and Fuel-Sulfur-Content Compliance Z. Wang et al. 10.3390/atmos14010175
55. Evaluating methods for marine fuel sulfur content using microsensor sniffing systems on ocean-going vessels S. Yang et al. 10.1016/j.scitotenv.2024.173765
56. Co-exposure to ambient PM2.5plus gaseous pollutants increases amyloid β1–42 accumulation in the hippocampus of male and female rats S. Motesaddi Zarandi et al. 10.1080/15569543.2019.1611604
57. What explains SECA compliance: rational calculation or moral judgment? A. Lähteenmäki-Uutela et al. 10.1007/s13437-019-00163-1
58. System for Identifying Ships Using High-Sulfur-Content Fuel Oil in Port Waters X. Peng et al. 10.1061/(ASCE)EE.1943-7870.0001755