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Geometrical Properties of Spilled Oil on Seawater Detected Using a LiDAR Sensor
- Source :
- Journal of Sensors, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- We report on a small-size light detection and ranging (LiDAR) sensor, which offers the possibility of being used in the field during oil spill incidents. In the present study, we develop an algorithm that can distinguish between seawater and oil through the use of a laser at 905 nm wavelength. We investigate the ability of the sensor to detect three different oil types (light crude, bunker A, and bunker C) through experiments and analyze the differences between the types and volumes of spilled oil (1, 5, 10, 15, 20, 25, 30, 35, 40, and 50 mL). The results showed that our algorithm for detecting oil spills over seawater was successful: the LiDAR sensor was able to detect different oil types and volumes. Spilled oil area coverage ranged by more than 50% of the detected area, and the viscosity of bunker C oil reached up to 73%. In addition, the experimental oil spills were mainly formed of oil films of 1 mm and 2 mm thicknesses, which confirmed geometrical properties. Follow-up research should further investigate the characteristics of oil slick thickness measured by the LiDAR system and undertake field tests to assess the feasibility of using the LiDAR system in pollution incidents.
- Subjects :
- Pollution
Light crude oil
Article Subject
010504 meteorology & atmospheric sciences
Light detection
media_common.quotation_subject
0211 other engineering and technologies
Mineralogy
02 engineering and technology
Field tests
Fuel oil
01 natural sciences
Lidar
Control and Systems Engineering
Oil spill
T1-995
Environmental science
Seawater
Electrical and Electronic Engineering
Instrumentation
Technology (General)
021101 geological & geomatics engineering
0105 earth and related environmental sciences
media_common
Subjects
Details
- ISSN :
- 16877268 and 1687725X
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Journal of Sensors
- Accession number :
- edsair.doi.dedup.....4e04fe2d8809213c960d56e35b81caf1
- Full Text :
- https://doi.org/10.1155/2020/5609168