Prediction of Marine Oil Spill Trajectory Using Lagrangian Approach
D.Jayashree1, Aswathi.M2, Dharani.K3, Evangelin.P4
1Dr. D. Jayashree, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai (Tamil Nadu), India.
2Aswathi M, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai (Tamil Nadu), India.
3Dharani K, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai (Tamil Nadu), India.
4Evangelin P, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 733-736 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11560283S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Crude oil production is the largest and most profitable business in the world. From its development phase to production phase, many disasters have occurred in oil industries. Marine Oil spill is one of the most common types of environmental disaster which usually occurs due to the release of crude oil from tanker ships, offshore platform and drilling mines into the sea or ocean. This in turn has a huge impact on the marine ecosystem resulting in the loss or even extinction of aquatic species. We propose an approach to predict the range over which the oil spill will spread, the model is based on Lagrangian approach and the main model is a combination of several major sub-models that predict the oil slick transport on the sea surface, oil losses due to natural weathering processes and oil dispersion in water column. The coastal forecast is done using vector approach over the range of values available from various sources. All these constraints are considered together to predict the range over which the oil spill will spread so that relevant remedial measures can be taken accordingly to minimize the extent of damage in the marine environment. This prediction will be very useful in establishing an effective recover plan to prevent further spreading of oil in the ocean.
Keywords: Oil Spill, Lagrangian Model, Vector Approach, Prediction.
Scope of the Article: Regression and Prediction