MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS

YEKEEN, SHAMSUDEEN TEMITOPE (2021) MARINE OIL SPILL POLLUTION DECISION SUPPORT SYSTEM USING NOVEL GEOSPATIAL AND ARTIFICIAL INTELLIGENCE MODELS. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

The inability to rapidly identify the location of the spill has resulted to various environmental consequences in the coastal ecosystem. Remote sensing technology has proven to be beneficial in the detection of marine oil spills. A major challenge with remote sensing remains the false positive detection of non-oil slick as oil slick because of the similar visual attributes with the non-oil slick (lookalike) elements like low wind areas, natural films, wind front areas, etc. Also, a large percentage of oil spill effects on coastal ecosystems is linked to the unavailability of reliable Decision Support Systems (DSS) which can accurately delineate the vulnerable coastal resources for prompt intervention at different climatic seasons.

Item Type: Thesis (Masters)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments / MOR / COE: Engineering > Civil
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 08 Sep 2021 10:10
Last Modified: 08 Sep 2021 10:10
URI: http://utpedia.utp.edu.my/id/eprint/20688

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