Improving environmental assessments by integrating Species Sensitivity Distributions into environmental modeling: examples with two hypothetical oil spills.
A three dimensional (3D) trajectory model was used to simulate oil mass balance and environmental concentrations of two 795,000 L hypothetical oil spills modeled under physical and chemical dispersion scenarios. Species Sensitivity Distributions (SSD) for Total Hydrocarbon Concentrations (THCs) were developed, and Hazard Concentrations (HC) used as levels of concern. Potential consequences to entrained water column organisms were characterized by comparing model outputs with SSDs, and obtaining the proportion of species affected (PSA) and areas with oil concentrations exceeding HC5s (Area ⩾ HC5). Under the physically-dispersed oil scenario ⩽ 77% of the oil remains on the water surface and strands on shorelines, while with the chemically-dispersed oil scenario ⩽ 67% of the oil is entrained in the water column. For every 10% increase in chemical dispersion effectiveness, the average PSA and Area ⩾ HC5 increases (range: 0.01-0.06 and 0.50-2.9 km(2), respectively), while shoreline oiling decreases (⩽ 2919 L/km). Integrating SSDs into modeling may improve understanding of scales of potential impacts to water column organisms, while providing net environmental benefit comparison of oil spill response options.
Research Planning, Inc., 1121 Park Street, Columbia, SC 29201, USA. Electronic address: abejarano@researchplanning.com.
Adriana C
AC
Bejarano
National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA.
Alan J
AJ
Mearns
D059001:Aquatic Organisms / Q000502:physiology; D004777:Environment; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D059392:Petroleum Pollution; D012680:Sensitivity and Specificity; D014874:Water Pollutants, Chemical / Q000032:analysis
D014874:Water Pollutants, Chemical
Chemical dispersants; General NOAA Oil Modeling Environment; Oil spill; Proportion of species affected; Species Sensitivity Distributions; Trajectory modeling