Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-691-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-12-691-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Jan 2019
Research article |
| 31 Jan 2019
Characterization of the particle emission from a ship operating at sea using an unmanned aerial vehicle
Tommaso F. Villa
International Laboratory for Air Quality and Health (ILAQH),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
Reece A. Brown
International Laboratory for Air Quality and Health (ILAQH),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
E. Rohan Jayaratne
International Laboratory for Air Quality and Health (ILAQH),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
L. Felipe Gonzalez
Australian Research Centre for Aerospace Automation (ARCAA),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
Lidia Morawska
International Laboratory for Air Quality and Health (ILAQH),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
Zoran D. Ristovski
CORRESPONDING AUTHOR
International Laboratory for Air Quality and Health (ILAQH),
Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
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- Maritime vessel emission monitoring by an UAV gas sensor system H. Yuan et al. 10.1016/j.oceaneng.2020.108206
- Vertical variation of atmospheric particulate matter under different pollution levels in the suburbs of Tianjin based on unmanned aerial vehicle S. Li et al. 10.1080/10962247.2022.2134231
- Electrochemical gas sensing module combined with Unmanned Aerial Vehicles for air quality monitoring P. Arroyo et al. 10.1016/j.snb.2022.131815
- 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
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- Particle Measurements from In-use Maritime Traffic Using an Unmanned Aerial Vehicle in Rafina, Greece M. Haugen et al. 10.1016/j.trpro.2023.11.693
- Tracking and measuring plumes from sailing ships using an unmanned aerial vehicle F. Zhou et al. 10.1049/itr2.12256
- Evaporative Cooling Does Not Prevent Vertical Dispersion of Effervescent Seawater Aerosol for Brightening Clouds D. Hernandez-Jaramillo et al. 10.1021/acs.est.3c04793
- Post-movement stabilization time for the downwash region of a 6-rotor UAV for remote gas monitoring J. Brinkman et al. 10.1016/j.heliyon.2020.e04994
- In Situ, Rotor-Based Drone Measurement of Wind Vector and Aerosol Concentration in Volcanic Areas K. Sasaki et al. 10.3390/atmos12030376
- Measuring Regional Atmospheric CO2 Concentrations in the Lower Troposphere with a Non-Dispersive Infrared Analyzer Mounted on a UAV, Ogata Village, Akita, Japan T. Chiba et al. 10.3390/atmos10090487
- Tropospheric O3 Model from Climatological Approaches in the Colombian Andes D. Nisperuza et al. 10.1080/00330124.2021.1922295
- On-road detection of trucks with high NOx emissions from a patrol vehicle with on-board FTIR analyzer M. Vojtisek-Lom et al. 10.1016/j.scitotenv.2020.139753
- Protocol development for real-time ship fuel sulfur content determination using drone based plume sniffing microsensor system A. Anand et al. 10.1016/j.scitotenv.2020.140885
- 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
- On the Ship Particle Number Emission Index: Size‐Resolved Microphysics and Key Controlling Parameters J. Mao et al. 10.1029/2020JD034427
- A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
- Short-Sea Shipping Contributions to Particles Concentration in Coastal Areas: Impact and Mitigation F. Di Natale et al. 10.2139/ssrn.4010333
- Surveys of Air Pollutants Emitted from Ships Including Measurements near Sea Routes T. Saotome et al. 10.5988/jime.57.315
- Microscopic characteristics and influencing factors of ship emissions based on onboard measurements A. Fan et al. 10.1016/j.trd.2024.104300
- Ship Emission Measurements Using Multirotor Unmanned Aerial Vehicles: Review L. Šaparnis et al. 10.3390/jmse12071197
- Effects of Downwash from a 6-Rotor Unmanned Aerial Vehicle (UAV) on Gas Monitor Concentrations J. Brinkman & C. Johnson 10.1007/s42461-021-00436-5
- Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment M. Haugen et al. 10.1016/j.atmosenv.2022.119384
- A Diffused Mini-Sniffing Sensor for Monitoring SO2 Emissions Compliance of Navigating Ships M. Deng et al. 10.3390/s22145198
- Electrochemical Gas Sensing Module Combined with Unmanned Aerial Vehicles for Air Quality Monitoring P. Arroyo et al. 10.2139/ssrn.3994293
- System for Identifying Ships Using High-Sulfur-Content Fuel Oil in Port Waters X. Peng et al. 10.1061/(ASCE)EE.1943-7870.0001755
- Ship emission monitoring sensor web for research and application F. Zhou et al. 10.1016/j.oceaneng.2022.110980
- Measurement of SO2 and NO2 in Ship Plumes Using Rotary Unmanned Aerial System F. Zhou et al. 10.3390/atmos10110657
Latest update: 03 Nov 2024
Short summary
This research demonstrates the use of an unmanned aerial vehicle (UAV) to characterize the gaseous and diesel particle emissions of a ship at sea. The field study was part of the research voyage “The Great Barrier Reef as a significant source of climatically relevant aerosol particles” on board the RV Investigator around the Australian Great Barrier Reef. Measurements of the RV Investigator exhaust plume were carried out while the ship was operating at sea, at a steady engine load.
This research demonstrates the use of an unmanned aerial vehicle (UAV) to characterize the...
