Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS.

Balogun, A-L; Yekeen, ST; Pradhan, B; Wan Yusof, KB

Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS.

Balogun, A-L Yekeen, ST Pradhan, B

Wan Yusof, KB

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Environmental pollution (Barking, Essex : 1987), 2021, 268, (Pt A), pp. 115812
Issue Date:: 2021-01

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Field	Value	Language
dc.contributor.author	Balogun, A-L
dc.contributor.author	Yekeen, ST
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Wan Yusof, KB
dc.date.accessioned	2021-05-05T01:04:55Z
dc.date.available	2020-10-09
dc.date.available	2021-05-05T01:04:55Z
dc.date.issued	2021-01
dc.identifier.citation	Environmental pollution (Barking, Essex : 1987), 2021, 268, (Pt A), pp. 115812
dc.identifier.issn	0269-7491
dc.identifier.issn	1873-6424
dc.identifier.uri	http://hdl.handle.net/10453/148663
dc.description.abstract	This study develops an oil spill environmental vulnerability model for predicting and mapping the oil slick trajectory pattern in Kota Tinggi, Malaysia. The impact of seasonal variations on the vulnerability of the coastal resources to oil spill was modelled by estimating the quantity of coastal resources affected across three climatic seasons (northeast monsoon, southwest monsoon and pre-monsoon). Twelve 100 m<sup>3</sup> (10,000 splots) medium oil spill scenarios were simulated using General National Oceanic and Atmospheric Administration Operational Oil Modeling Environment (GNOME) model. The output was integrated with coastal resources, comprising biological, socio-economic and physical shoreline features. Results revealed that the speed of an oil slick (40.8 m per minute) is higher during the pre-monsoon period in a southwestern direction and lower during the northeast monsoon (36.9 m per minute). Evaporation, floating and spreading are the major weathering processes identified in this study, with approximately 70% of the slick reaching the shoreline or remaining in the water column during the first 24 h (h) of the spill. Oil spill impacts were most severe during the southwest monsoon, and physical shoreline resources are the most vulnerable to oil spill in the study area. The study concluded that variation in climatic seasons significantly influence the vulnerability of coastal resources to marine oil spill.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Environmental pollution (Barking, Essex : 1987)
dc.relation.isbasedon	10.1016/j.envpol.2020.115812
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Environmental Sciences
dc.subject.mesh	Water Pollutants, Chemical
dc.subject.mesh	Environmental Monitoring
dc.subject.mesh	Models, Theoretical
dc.subject.mesh	Geographic Information Systems
dc.subject.mesh	Malaysia
dc.subject.mesh	Petroleum Pollution
dc.subject.mesh	Environmental Monitoring
dc.subject.mesh	Geographic Information Systems
dc.subject.mesh	Malaysia
dc.subject.mesh	Models, Theoretical
dc.subject.mesh	Petroleum Pollution
dc.subject.mesh	Water Pollutants, Chemical
dc.title	Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS.
dc.type	Journal Article
utslib.citation.volume	268
utslib.location.activity	England
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-05-05T01:04:52Z
pubs.issue	Pt A
pubs.publication-status	Published
pubs.volume	268
utslib.citation.issue	Pt A

Abstract:

This study develops an oil spill environmental vulnerability model for predicting and mapping the oil slick trajectory pattern in Kota Tinggi, Malaysia. The impact of seasonal variations on the vulnerability of the coastal resources to oil spill was modelled by estimating the quantity of coastal resources affected across three climatic seasons (northeast monsoon, southwest monsoon and pre-monsoon). Twelve 100 m³ (10,000 splots) medium oil spill scenarios were simulated using General National Oceanic and Atmospheric Administration Operational Oil Modeling Environment (GNOME) model. The output was integrated with coastal resources, comprising biological, socio-economic and physical shoreline features. Results revealed that the speed of an oil slick (40.8 m per minute) is higher during the pre-monsoon period in a southwestern direction and lower during the northeast monsoon (36.9 m per minute). Evaporation, floating and spreading are the major weathering processes identified in this study, with approximately 70% of the slick reaching the shoreline or remaining in the water column during the first 24 h (h) of the spill. Oil spill impacts were most severe during the southwest monsoon, and physical shoreline resources are the most vulnerable to oil spill in the study area. The study concluded that variation in climatic seasons significantly influence the vulnerability of coastal resources to marine oil spill.

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http://hdl.handle.net/10453/148663