Rachael D. Mueller , Susan E. Allen , Stephanie Chang , Haibo Niu , Douglas J. Latornell , Shihan Li , Ryah Bagshaw , Ashutosh Bhudia , Vicky Do , Krista Forysinski , Ben Moore-Maley , Cameron Power
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引用次数: 0
Abstract
We use a novel approach that combines Automatic Identification System (AIS) ship traffic data, state regulated oil transfer data, and a suite of numerical models to statistically represent the risk of spilled Alaska North Slope Crude, Bunker-C, and Marine Diesel under a variety of environmental conditions in an estuarine environment off the northeastern Pacific Ocean. We show the statistics of fate and transport outcomes based on 10,000 MOHID oil spill model simulations with currents, winds, and waves between January 1, 2015 and December 31, 2018. Each of the 10,000 oil spill scenarios was run individually and includes weathering from biodegradation, dissolution, dispersion, emulsification, evaporation, and spreading. Our pioneering approach captures statistical variability in seasonality, vessel traffic, spill locations, and oil types. We show that heterogeneity of 3D circulation in an estuarine environment, combined with marine traffic “footprints”, creates regionally-variable signatures of the timing, likelihood and type of potential oiling.
期刊介绍:
Marine Pollution Bulletin is concerned with the rational use of maritime and marine resources in estuaries, the seas and oceans, as well as with documenting marine pollution and introducing new forms of measurement and analysis. A wide range of topics are discussed as news, comment, reviews and research reports, not only on effluent disposal and pollution control, but also on the management, economic aspects and protection of the marine environment in general.