Fuzzy Logic Technique for Oil Spill Monitoring in Disaster Management and Response in Ocean Using Satellite Data

Abstract

Background: In this research work the Fuzzy Logic algorithm was examined to identify the occurrence of an oil spill in the ocean. The oil spill is considered the biggest issue in the world. Every year a large number of oil spills incidence happens due to human activity this is done due to human-made disasters through transportation services. In this research work, two stages have been examined to identify the occurrence of the oil spills using SAR data. Oil spreading is a dangerous issue in the marine world because most kinds of oil are less dense than the water, maximum spilled oil floats on the water surface body. It spread out and pushed in water through currents and winds. After splitting into the sea within 10 minutes, 300 hundred gallons of oil can spread across 160 feet and develops slick 4th inch deep. After that, based on water surface tension it determines how far and fast oil gets spreads. Its only depends on how much molecular in water are attracted to each other. So it is very necessary to regularly monitor oil spills.

Methods: In this research work, the Fuzzy Logic technique was investigated for the detection of oil spills disaster in the ocean. This investigation is divided into two stages: The first stage is the detection of the oil spill and the Second stage is tracking oil spills using consecutive SAR data. 

Results: The study demonstrates that the Fuzzy Logic Algorithm can be used as a good tool for oil spill detection and tracking using satellite images. In result, it is denoted as a fuzzy logic algorithm can be used as a good tool for tracking oil spill using satellite image with a highest covering spilled area over the ocean.