Articles | Volume 12, issue 11
https://doi.org/10.5194/amt-12-6113-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-6113-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Nov 2019
Research article |
| 25 Nov 2019
| 25 Nov 2019
Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions
College of Information Engineering, Shanghai Maritime University, Shanghai, China
Shengda Pan
College of Information Engineering, Shanghai Maritime University, Shanghai, China
Wei Chen
Pudong Maritime Safety Administration of the People's Republic of
China, Shanghai, China
Xunpeng Ni
Pudong Maritime Safety Administration of the People's Republic of
China, Shanghai, China
Bowen An
College of Information Engineering, Shanghai Maritime University, Shanghai, China
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Cited
24 citations as recorded by crossref.
- Applications, Evolutions, and Challenges of Drones in Maritime Transport J. Wang et al. 10.3390/jmse11112056
- Ship emission monitoring sensor web for research and application F. Zhou et al. 10.1016/j.oceaneng.2022.110980
- Effect of Unmanned Aerial Vehicles on the Spatial Distribution of Analytes from Point Source G. Li-Destri et al. 10.3390/chemosensors8030077
- Monitoring Scheduling of Drones for Emission Control Areas: An Ant Colony-Based Approach Z. Sun et al. 10.1109/TITS.2021.3106305
- 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
- Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology Z. Zhang et al. 10.3390/atmos12091182
- A Diffused Mini-Sniffing Sensor for Monitoring SO2 Emissions Compliance of Navigating Ships M. Deng et al. 10.3390/s22145198
- Development of a Colorimetric Sensor for Autonomous, Networked, Real-Time Application B. Johnson et al. 10.3390/s20205857
- Maritime vessel emission monitoring by an UAV gas sensor system H. Yuan et al. 10.1016/j.oceaneng.2020.108206
- A Real-Time Measurement-Modeling System for Ship Air Pollution Emission Factors F. Zhou et al. 10.3390/jmse10060760
- A Conceptual Framework for Economic Analysis of Different Law Enforcement Drones N. Tsiamis et al. 10.3390/machines11110983
- Impact of Ship Emission Control Area Policies on Port Air Quality—A Case Study of Ningbo Port, China S. Lu & F. Zhou 10.3390/su16093659
- Determination of NOx emission rates of inland ships from onshore measurements K. Krause et al. 10.5194/amt-16-1767-2023
- 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
- 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
- Air Pollutant Emission Factors of Inland River Ships under Compliance F. Zhou et al. 10.3390/jmse12101732
- Tracking and measuring plumes from sailing ships using an unmanned aerial vehicle F. Zhou et al. 10.1049/itr2.12256
- A Study on Monitoring and Supervision of Ship Nitrogen-Oxide Emissions and Fuel-Sulfur-Content Compliance Z. Wang et al. 10.3390/atmos14010175
- A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
- Ship Emission Measurements Using Multirotor Unmanned Aerial Vehicles: Review L. Šaparnis et al. 10.3390/jmse12071197
- Environmental chemical sensing using small drones: A review J. Burgués & S. Marco 10.1016/j.scitotenv.2020.141172
- 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
- Digitalization and innovation in green ports: A review of current issues, contributions and the way forward in promoting sustainable ports and maritime logistics Z. Zhang et al. 10.1016/j.scitotenv.2023.169075
- Measurement of SO2 and NO2 in Ship Plumes Using Rotary Unmanned Aerial System F. Zhou et al. 10.3390/atmos10110657
23 citations as recorded by crossref.
- Applications, Evolutions, and Challenges of Drones in Maritime Transport J. Wang et al. 10.3390/jmse11112056
- Ship emission monitoring sensor web for research and application F. Zhou et al. 10.1016/j.oceaneng.2022.110980
- Effect of Unmanned Aerial Vehicles on the Spatial Distribution of Analytes from Point Source G. Li-Destri et al. 10.3390/chemosensors8030077
- Monitoring Scheduling of Drones for Emission Control Areas: An Ant Colony-Based Approach Z. Sun et al. 10.1109/TITS.2021.3106305
- 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
- Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology Z. Zhang et al. 10.3390/atmos12091182
- A Diffused Mini-Sniffing Sensor for Monitoring SO2 Emissions Compliance of Navigating Ships M. Deng et al. 10.3390/s22145198
- Development of a Colorimetric Sensor for Autonomous, Networked, Real-Time Application B. Johnson et al. 10.3390/s20205857
- Maritime vessel emission monitoring by an UAV gas sensor system H. Yuan et al. 10.1016/j.oceaneng.2020.108206
- A Real-Time Measurement-Modeling System for Ship Air Pollution Emission Factors F. Zhou et al. 10.3390/jmse10060760
- A Conceptual Framework for Economic Analysis of Different Law Enforcement Drones N. Tsiamis et al. 10.3390/machines11110983
- Impact of Ship Emission Control Area Policies on Port Air Quality—A Case Study of Ningbo Port, China S. Lu & F. Zhou 10.3390/su16093659
- Determination of NOx emission rates of inland ships from onshore measurements K. Krause et al. 10.5194/amt-16-1767-2023
- 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
- 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
- Air Pollutant Emission Factors of Inland River Ships under Compliance F. Zhou et al. 10.3390/jmse12101732
- Tracking and measuring plumes from sailing ships using an unmanned aerial vehicle F. Zhou et al. 10.1049/itr2.12256
- A Study on Monitoring and Supervision of Ship Nitrogen-Oxide Emissions and Fuel-Sulfur-Content Compliance Z. Wang et al. 10.3390/atmos14010175
- A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
- Ship Emission Measurements Using Multirotor Unmanned Aerial Vehicles: Review L. Šaparnis et al. 10.3390/jmse12071197
- Environmental chemical sensing using small drones: A review J. Burgués & S. Marco 10.1016/j.scitotenv.2020.141172
- 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
- Digitalization and innovation in green ports: A review of current issues, contributions and the way forward in promoting sustainable ports and maritime logistics Z. Zhang et al. 10.1016/j.scitotenv.2023.169075
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
This study developed a measurement system based on an unmanned aerial vehicle for determining the fuel sulfur content from the exhaust gas of ships. The proposed measurement could be used to determine the smoke plume at about 5 m from the funnel mouth of ships, providing a rapid high-precision monitoring of emission control areas for compliance with sulfur fuel content. The results show that, in general, the deviation of the estimated value for fuel sulfur content is less than 0.03 % (m/m).
This study developed a measurement system based on an unmanned aerial vehicle for determining...
