Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS
Abdul-Lateef Balogun1, Shamsudeen Temitope Yekeen1, Biswajeet Pradhan2
1Geospatial Analysis and Modelling (GAM) Research Laboratory, Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS (UTP), 32610, Seri Iskandar, Perak, Malaysia.
Seasonal variations significantly impact marine oil spill vulnerability. Coastal resources face the highest risk during the southwest monsoon, underscoring the need for tailored spill response strategies.
Area of Science:
- Environmental Science
- Marine Biology
- Coastal Management
Background:
- Oil spills pose significant threats to coastal ecosystems and economies.
- Understanding seasonal variations is crucial for effective oil spill response planning.
Purpose of the Study:
- To develop an oil spill environmental vulnerability model for Kota Tinggi, Malaysia.
- To assess the impact of seasonal variations on coastal resource vulnerability to oil spills.
- To map oil slick trajectory patterns under different climatic seasons.
Main Methods:
- Simulated twelve 100 m³ medium oil spill scenarios using the General National Oceanic and Atmospheric Administration Operational Oil Modeling Environment (GNOME) model.
- Integrated model outputs with biological, socio-economic, and physical shoreline resources.
- Estimated coastal resource quantities affected across three climatic seasons: northeast monsoon, southwest monsoon, and pre-monsoon.
Main Results:
- Oil slick speed varied by season, being fastest (40.8 m/min) southwestward during the pre-monsoon and slowest (36.9 m/min) during the northeast monsoon.
- Major weathering processes included evaporation, floating, and spreading, with ~70% of oil reaching shore or water column within 24 hours.
- Oil spill impacts were most severe during the southwest monsoon, with physical shoreline resources being the most vulnerable.
Conclusions:
- Climatic season variations significantly influence coastal resource vulnerability to marine oil spills.
- Physical shoreline features are the most susceptible to oil spill damage in the study area.
- The developed model provides critical insights for regional oil spill preparedness and response.
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