78 citations as recorded by crossref.

1. Characterization of trace gas emissions at an intermediate port A. Wiacek et al. 10.5194/acp-18-13787-2018
2. Measurement of SO2 and NO2 in Ship Plumes Using Rotary Unmanned Aerial System F. Zhou et al. 10.3390/atmos10110657
3. Multi-wavelength UV imaging detection system applied for varying environmental conditions: Detection of SO2 as an example X. Liu et al. 10.1016/j.microc.2019.104395
4. Assessment of the Effect of International Maritime Regulations on Air Quality in the Southern North Sea W. Van Roy et al. 10.3390/atmos14060969
5. The Heidelberg Airborne Imaging DOAS Instrument (HAIDI) – a novel imaging DOAS device for 2-D and 3-D imaging of trace gases and aerosols S. General et al. 10.5194/amt-7-3459-2014
6. Measurements of air pollution emission factors for marine transportation in SECA B. Alföldy et al. 10.5194/amt-6-1777-2013
7. Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology Z. Zhang et al. 10.3390/atmos12091182
8. Research on Monitoring Method of Fuel Sulfur Content of Ships in Tianjin Port Q. Songbo et al. 10.1088/1742-6596/2009/1/012073
9. Retrieval and Regional Distribution Analysis of Ammonia, Sulfur Dioxide and Nitrogen Dioxide in the Urban Environment Using Ultraviolet DOAS Algorithm H. Chen et al. 10.32604/cmes.2022.022279
10. Ship-based MAX-DOAS measurements of tropospheric NO 2 and SO 2 in the South China and Sulu Sea S. Schreier et al. 10.1016/j.atmosenv.2014.12.015
11. Evaluation of systematic errors for the continuous-wave NO2 differential absorption lidar employing a multimode laser diode Y. Cheng et al. 10.1364/AO.403659
12. 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
13. Continuous‐wave differential absorption lidar L. Mei & M. Brydegaard 10.1002/lpor.201400419
14. Mobile measurements of ship emissions in two harbour areas in Finland L. Pirjola et al. 10.5194/amt-7-149-2014
15. 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
16. Monitoring shipping emissions in the German Bight using MAX-DOAS measurements A. Seyler et al. 10.5194/acp-17-10997-2017
17. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor A. Georgoulias et al. 10.1088/1748-9326/abc445
18. 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
19. The Small Whiskbroom Imager for atmospheric compositioN monitorinG (SWING) and its operations from an unmanned aerial vehicle (UAV) during the AROMAT campaign A. Merlaud et al. 10.5194/amt-11-551-2018
20. Ship fuel sulfur content prediction based on convolutional neural network and ultraviolet camera images K. Cao et al. 10.1016/j.envpol.2021.116501
21. 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
22. 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
23. Sensitivity analysis for the detection of NO2 plumes from seagoing ships using TROPOMI data S. Kurchaba et al. 10.1016/j.rse.2024.114041
24. Using Multispectral Imaging to Reveal the Relationship between UV Absorbance and Sulphur Dioxide Concentration K. Lu et al. 10.3390/su15010138
25. 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
26. Remote detection sulfur content in fuel oil used by ships in emission control areas: A case study of the Yantian model in Shenzhen X. Peng et al. 10.1016/j.oceaneng.2021.109652
27. Ship emission monitoring sensor web for research and application F. Zhou et al. 10.1016/j.oceaneng.2022.110980
28. Studies of the horizontal inhomogeneities in NO<sub>2</sub> concentrations above a shipping lane using ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements and validation with airborne imaging DOAS measurements A. Seyler et al. 10.5194/amt-12-5959-2019
29. 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
30. Current progress in developing a MARPOL Annex VI enforcement strategy in the Bonn Agreement through remote measurements W. Van Roy et al. 10.1016/j.marpol.2023.105882
31. Simultaneous measurement of SO2 and CO2 for sulfur content detection in marine diesel fuel using QCL absorption spectroscopy J. Li et al. 10.1016/j.measurement.2024.115861
32. UAV Inspection of Compliance of Fuel Sulfur Content of Sailing Ships in the Pearl River Delta, China J. Hu et al. 10.3390/atmos13111894
33. Characteristics of real-world ship energy consumption and emissions based on onboard testing A. Fan et al. 10.1016/j.marpolbul.2023.115411
34. Policy recommendations for international regulations addressing air pollution from ships W. Van Roy et al. 10.1016/j.marpol.2023.105913
35. A wide field-of-view imaging DOAS instrument for two-dimensional trace gas mapping from aircraft A. Schönhardt et al. 10.5194/amt-8-5113-2015
36. Emission measurements of alkenes, alkanes, SO2, and NO2from stationary sources in Southeast Texas over a 5 year period using SOF and mobile DOAS J. Johansson et al. 10.1002/2013JD020485
37. Field test of available methods to measure remotely SO<sub>x</sub> and NO<sub>x</sub> emissions from ships J. Balzani Lööv et al. 10.5194/amt-7-2597-2014
38. Experimental Flight Patterns Evaluation for a UAV-Based Air Pollutant Sensor J. Araujo et al. 10.3390/mi11080768
39. Research on Machine Vision Detection Method of Ship Sulfur Emission Based on Convolutional Neural Network Y. Han et al. 10.1088/1742-6596/2171/1/012071
40. A Real-Time Measurement-Modeling System for Ship Air Pollution Emission Factors F. Zhou et al. 10.3390/jmse10060760
41. Surveillance practice and automatic data algorithm of sniffing telemetry for SO2 emissions from ship exhaust in Tianjin Port Z. Qi et al. 10.1016/j.jclepro.2023.137225
42. Remote sensing of atmospheric NO_2 by employing the continuous-wave differential absorption lidar technique L. Mei et al. 10.1364/OE.25.00A953
43. Research progress of monitoring technology of ship-source air pollutants in china emission control area M. Tianyu et al. 10.1051/e3sconf/202020602006
44. Aerosol sources in the western Mediterranean during summertime: a model-based approach M. Chrit et al. 10.5194/acp-18-9631-2018
45. High Time-resolution Characterization of PM2.5 Sulfate Measured in a Japanese Urban Site C. Ma et al. 10.5572/ajae.2015.9.4.280
46. Ship emissions measurement in the Arctic by plume intercepts of the Canadian Coast Guard icebreaker <i>Amundsen</i> from the <i>Polar 6</i> aircraft platform A. Aliabadi et al. 10.5194/acp-16-7899-2016
47. A Study on Monitoring and Supervision of Ship Nitrogen-Oxide Emissions and Fuel-Sulfur-Content Compliance Z. Wang et al. 10.3390/atmos14010175
48. 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
49. 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
50. Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections Y. Xiong et al. 10.3390/s22103900
51. High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals H. Chong et al. 10.1016/j.rse.2020.111725
52. Sulfur dioxide vertical column DOAS retrievals from the Ozone Monitoring Instrument: Global observations and comparison to ground‐based and satellite data N. Theys et al. 10.1002/2014JD022657
53. The quantification of NO<sub><i>x</i></sub> and SO<sub>2</sub> point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. 10.5194/amt-13-6025-2020
54. Faster, Better, Cheaper: Solutions to the Atmospheric Shipping Emission Compliance and Attribution Conundrum T. Smyth et al. 10.3390/atmos14030500
55. High-resolution airborne imaging DOAS measurements of NO<sub>2</sub> above Bucharest during AROMAT A. Meier et al. 10.5194/amt-10-1831-2017
56. 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
57. Remote and optical monitoring techniques applied to the maritime sector A. Boselli et al. 10.1088/1742-6596/1589/1/012016
58. 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
59. 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
60. Selection of onshore sites based on monitoring possibility evaluation of exhausts from individual ships for Yantian Port, China L. He et al. 10.1016/j.atmosenv.2021.118187
61. A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data J. Kim et al. 10.3390/rs15133453
62. Characteristics and temporal evolution of particulate emissions from a ship diesel engine L. Mueller et al. 10.1016/j.apenergy.2015.05.115
63. The Role of Belgian Airborne Sniffer Measurements in the MARPOL Annex VI Enforcement Chain W. Van Roy et al. 10.3390/atmos14040623
64. Scanning and mobile multi-axis DOAS measurements of SO2 and NO2 emissions from an electric power plant in Montevideo, Uruguay E. Frins et al. 10.1016/j.atmosenv.2014.03.069
65. 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
66. Characterization of the particle emission from a ship operating at sea using an unmanned aerial vehicle T. Villa et al. 10.5194/amt-12-691-2019
67. The Study of Ship Exhaust Emission Monitoring System Based on UAV 晓. 于 10.12677/DSC.2023.121001
68. Tropospheric NO<sub>2</sub> measurements using a three-wavelength optical parametric oscillator differential absorption lidar J. Su et al. 10.5194/amt-14-4069-2021
69. Development of a spectrum-based ship fuel sulfur content real-time evaluation method H. Wu et al. 10.1016/j.marpolbul.2022.114484
70. Determination of NOx emission rates of inland ships from onshore measurements K. Krause et al. 10.5194/amt-16-1767-2023
71. Air Pollutant Emission Factors of Inland River Ships under Compliance F. Zhou et al. 10.3390/jmse12101732
72. Airborne emission measurements of SO<sub>2</sub> , NO<sub>x</sub> and particles from individual ships using a sniffer technique J. Beecken et al. 10.5194/amt-7-1957-2014
73. On-board measurements of particle and gaseous emissions from a large cargo vessel at different operating conditions T. Chu-Van et al. 10.1016/j.envpol.2017.11.008
74. A comprehensive study of particulate and gaseous emissions characterization from an ocean-going cargo vessel under different operating conditions J. Zhao et al. 10.1016/j.atmosenv.2020.117286
75. Airborne monitoring of compliance to NOx emission regulations from ocean-going vessels in the Belgian North Sea W. Van Roy et al. 10.1016/j.apr.2022.101518
76. Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations F. Tack et al. 10.5194/amt-8-2417-2015
77. Emission factors for gaseous and particulate pollutants from offshore diesel engine vessels in China F. Zhang et al. 10.5194/acp-16-6319-2016
78. Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide J. Jalkanen et al. 10.5194/acp-12-2641-2012