Drone Equipment and Configuration for Crude Oil Spill Detection in Water
DOI:
https://doi.org/10.47672/ejt.1127Keywords:
UAV-Drones, oil spill, sensors, DJI PhantomAbstract
Purpose: The objectives of this article was to outline the various equipment and configuration of drones which can be used to detect and support oil spill response in water. The study aimed at identify the type of sensors that can be mounted on drones for effective crude oil spill detection in water.
Methodology: A systematic review of past articles on drones in disaster management was done. In this article, various parts of drone and configuration was tested. Sensors capable of detecting crude oil in the visible, infra-red, near infrared, laser fluoro-sensor were elaborated.
Findings: A drone can properly be used for oil spill response operations. Appropriate sensors mounted on the drone can detect oil spill in water and can also access locations which are not readily accessible to large ships and other aerial patrol platform. The limitation of drones is the payload capability and its inability to operate well in windy weather.
Recommendation: Since data collection with drone are faster, cheaper and easier during an oil spill response operations, it is highly recommended to mount the suitable sensor capable of detecting oil sheen even during nighttime operations.
Downloads
References
Domaille, S., & Campion, D. (2018). Droning On: A review of UAV use in recent spills attended by ITOPF and considerations for the future.
Brown, C.E., M. Fruhwirth, M.F. Fingas, J.V. Mullin and G.L. Hover (2003) - "The Scanning Laser Environmental Airborne Fluor sensor: Providing Timely Response
Carl E. Brown and Mervin F. Fingas (1996) - Oil-spill Remote Sensors: New Tools that Provide Solutions to Old Problems. Pp 3-5.
Craigi (2016) - Buying and Flying DJI Phantom 3 and 4 Quadcopters.
Christian Haselwimmer (2017) -Environmental remote sensing specialist, Chevron Energy Technology Company-using aerial imaging from drones to identify and confirm the presence of oil on coastlines
Dan Gettinger - Drone Data book the center for the study of the drone at Bard College. Pp iv-v
Divya Joshi (2019) - Drone technology uses and applications for commercial, industrial and military drones in 2020 and the future.
Department of Defense, Dictionary of Military and Associated Terms, Joint Publication 1-02, August 2011, P-109.
Fintan Corrigan (2020)-How Do Drones Work and What Is Drone Technology https://www.dronezon.com/author/fintan/ October 2020
Fintan Corrigan (2020) - Multispectral Imaging Camera Drones In Farming Yield Big Benefits
F. Aznar, M. Sempere, M. Pujol, R. Rizo, and M. J. Pujol (2014) - Modelling Oil-Spill Detection with Swarm Drones. Pp-6
Grace Oct 31, 2017: Application of UAV-s for oil detection and monitoring, combined with drifters
Muhammad Ifan Nugraha (2019); Development of Quadcopter for Tracking Object Using Image Processing
GrÉgoire Chamayou (2013) - A Theory of the Drone. Pp10-11
Fantomas (2016): Help Guide for DJI phantom 3 drone.
Guy Carpenter, Willis, Zürich, (2015) - Drones for Disaster Response and Relief Operations April 2015. Pp 12-15.
HeriansyahR - How to Make a Quadcopter Drone and Components List
Hanno Hildmann and Ernö Kovacs (2019) - Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety. Pp 4-6 of 26
Hover, G.L., and J.V. Plourde - Evaluation of Night Capable Sensors For The Detection of Oil on Water, Report of the United States Coast Guard, CG-D-09/94, 1994. Pp 1.1
Konstantin Kakaes (2015) - What Drones can do and how they can do it. Pp 12-13
Mervin Fingas and Carl Brown, 2017 - Oil Spill Remote Sensing. . pp 8-9
Margaritoff, M., (2018) - Drones in Agriculture: How UAVs Make Farming More Efficient, agriculture-how-UAV-make-farming-more-efficient
Michail Papoutsidakis, Avraam Chatzopoulos and Dimitrios Piromalis (2019) - UAV flight control based on Arduino board implementations. Pp 438-439
Nathan Chandler- How drone works. https://science.howstuffworks.com/transport/flight/modern/drones.htm
O'Neil, R.A., R.A. Neville and V. Thompson (2003) - The Arctic Marine Oil spill Program (AMOP) Remote Sensing Study, Environment Canada Report Number EPS 4-EC-833, Ottawa, Ontario. Pp 17-20
Ulaby, F.T., R.K. Moore and A.K. Fung, (1986.)- Microwave Remote Sensing - Active and Passive: From Theory to Applications, Artech House Inc., Dedham, MA.
Valente, J.; Roldán, J.; Garzón, M.; Barrientos, A. Towards (2019) - Airborne Thermography via Low-Cost Thermopile Infrared Sensors. Pp 2 of 11.
Remote Sensing in Support of Oil Spill Response Planning Guidance API TECHNICAL REPORT 1144 SEPTEMBER 2013
Conte, G., & Doherty, P. (2009). Vision-based unmanned aerial vehicle navigation using geo-referenced information. EURASIP Journal on Advances in Signal Processing, 2009, 1-18.
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
