- 0.0 EXECUTIVE SUMMARY
- 0.1 Program Objectives and Participants
- 0.1.1 The Pan-Arctic Region: Highlights of the Literature Review
- 0.1.1.1 Behavior and Fate of Oil in the Arctic
- 0.1.1.2 VECs and Ecotoxicity
- 0.1.2 Role of Ecosystem Consequence Analyses in NEBA Applications for the Arctic
- 0.1.2.1 Arctic Population Resiliency and Potential for Recovery
- 0.2 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 0.2.1 Development of ARCAT Matrices
- 0.2.2 Influence of Oil on Unique Arctic Communities
- 0.2.3 Biodegradation in Unique Communities
- 0.2.4 Modeling of Acute and Chronic Population Effects of Exposure to OSRs
- 0.3 Further Information
- 1.0 THE PHYSICAL ENVIRONMENT
- 1.1 Introduction
- 1.1.1 The Arctic Ocean, Marginal Seas, and Basins
- 1.2 Knowledge Status
- 1.2.1 The Circumpolar Margins
- 1.2.2 Arctic Hydrography
- 1.2.3 Ice And Ice-Edges
- 1.2.4 Seasonality: Productivity and the Carbon Cycle in the Arctic
- 1.3 Future Research Considerations
- 1.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 1.4 Further Information
- 2.0 ARCTIC ECOSYSTEMS AND VALUABLE RESOURCES
- 2.1 Introduction
- 2.2 Knowledge Status
- 2.2.1 Habitats of the Arctic
- 2.2.2 Arctic Food Webs
- 2.2.2.1 Pelagic Communities
- 2.2.2.2 Benthic and Demersal Communities
- 2.2.2.2 Sea-ice Communities
- 2.2.2.4 Mammals and Birds
- 2.2.2.5 Communities of Special Significance
- 2.2.3 Pelagic Realm
- 2.2.3.1 Phytoplankton
- 2.2.3.2 Zooplankton
- 2.2.3.3 Neuston
- 2.2.3.4 Other Pelagic Invertebrates
- 2.2.3.4.1 Krill
- 2.2.3.4.2 Amphipods
- 2.2.3.4.3 Cephalopods
- 2.2.3.4.4 Jellyfish
- 2.2.3.5 Fish
- 2.2.3.5.1 Pelagic Fish
- 2.2.3.5.2 Anadromous Fish
- 2.2.3.5.3 Demersal Fish
- 2.2.3.5.4 Deep-Sea Fish
- 2.2.3.6 Marine Mammals
- 2.2.3.6.1 Bowhead Whale (Balaena mysticetus)
- 2.2.3.6.2 White Whale (Delphinapterus Leucas)
- 2.2.3.6.3 Narwhal (Monodon monoceros)
- 2.2.3.6.4 Ice Seals
- 2.2.3.6.5 Walrus (Odobenus rosmarus)
- 2.2.3.6.6 Orca Whales (Orcinus orca)
- 2.2.3.6.7 Polar Bear (Ursus maritimus)
- 2.2.3.7 Birds
- 2.2.3.7.1 Black-legged kittiwakes (Rissa tridactyla)
- 2.2.3.7.2 Black Guillemots (Cepphus grille)
- 2.2.3.7.3 Thick billed Murres (Uria lomvia)
- 2.2.3.7.4 Northern Fulmar (Fulmarus glacialis)
- 2.2.3.7.5 Common Eider (Somateria mollissima)
- 2.2.3.7.6 Little Auk/Dovekie (Alle alle)
- 2.2.3.7.7 Glaucous gull (Larus glaucescens)
- 2.2.3.7.8 Arctic jaeger (Stercorarius parasiticus)
- 2.2.4 Benthic Realm
- 2.2.4.1 Intertidal Communities
- 2.2.4.2 Shelf and Deepwater Communities
- 2.2.4.3 Mollusca
- 2.2.4.4 Polychaetes
- 2.2.4.5 Amphipods
- 2.2.4.6 Decapod Crustaceans
- 2.2.4.7 Echinoderms
- 2.2.5 Sea-Ice Realm
- 2.2.5.1 Ice Algae
- 2.2.5.2 Sympagic Copepods
- 2.2.5.3 Ice Amphipods
- 2.2.5.4 Pelagic Copepods
- 2.2.5.5 Sympagic Fish
- 2.2.5.6 Mammals
- 2.2.5.7 Birds
- 2.2.6 VECs of Arctic Marine Environments
- 2.2.6.1 Seasonal Distribution Patterns of Arctic Marine Populations
- 2.3 Future Research Considerations
- 2.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 2.4 Further Information
- 3.0 THE TRANSPORT AND FATE OF OIL IN THE ARCTIC
- 3.1 Introduction
- 3.2 Knowledge Status
- 3.2.1 Weathering of Oil Spilled in Ice
- 3.2.2 Oil in Ice Interactions
- 3.2.3 Oil on Arctic Shorelines
- 3.2.4 Oil-Sediment Interactions
- 3.3 Future Research Considerations
- 3.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 3.4 Further Information
- 4.0 OIL SPILL RESPONSE STRATEGIES
- 4.1 Introduction
- 4.1.1 Environmental Uniqueness of the Arctic Region in Relation to OSR
- 4.2 Knowledge Status - Impact of OSRs
- 4.2.1 Natural Attentuation
- 4.2.1.1 Potential Environmental Impact of Untreated Oil
- 4.2.1.2 Conclusions on Natural Attenuation
- 4.2.2 Mechanical Recovery and Containment
- 4.2.2.1 Environmental impacts from Mechanical Recovery and Containment
- 4.2.2.2 Conclusions
- 4.2.3 In-Situ Burning and Chemical Herders
- 4.2.3.1 Potential environmental and human health effects of ISB residues and unburnt oil
- 4.2.3.2 Environmental Impact of Herders
- 4.2.3.3 Conclusions on ISB and Herders
- 4.2.4 Improving Dispersion of Oil
- 4.2.4.1 Impact of Chemically Dispersed Oil
- 4.2.4.2 Conclusions on Chemical Dispersion
- 4.2.4.3 Dispersing Oil using Oil Mineral Aggregates (OMA)
- 4.2.4.4 Environmental Impact of OMA formation
- 4.2.4.5 Conclusions on OMA
- 4.3 Future Research Considerations
- 4.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 4.4 Further Information
- 5.0 BIODEGRADATION
- 5.1 Introduction
- 5.1.1 The Microbiology of the Arctic Oceans
- 5.1.1.1 Transport routes
- 5.1.1.2 Microbial populations in the Arctic Ocean
- 5.1.2 Microbial Adaptation to Arctic Conditions
- 5.1.2.1 Low temperature and microbial adaptions
- 5.1.2.2 Light and microbial phototrophs
- 5.1.2.3 Marine ice and microbial survival and metabolism
- 5.2 Knowledge Status
- 5.2.1 Biodegradation of Oil in Cold Marine Environments
- 5.2.1.1 Types of Crude Oils
- 5.2.1.2 Surface oil spills
- 5.2.1.2.1 Evaporation
- 5.2.1.2.2 Water solubility
- 5.2.1.2.3 Photooxidation
- 5.2.1.2.4 Sedimentation
- 5.2.1.2.5 Water-in-oil emulsification
- 5.2.1.2.6 Natural dispersion
- 5.2.1.2.7 Oil films
- 5.2.1.3 Microbial Oil-Degrading Populations in Cold Water Environments
- 5.2.1.3.1 Indigenous Microorganism Populations
- 5.2.1.3.2 Population Effects on Oil Degradation
- 5.2.1.4 Hydrocarbon biodegradation in cold marine environments
- 5.2.1.4.1 Seawater
- 5.2.1.4.2 Sediments and soils
- 5.2.1.4.3 Sea ice
- 5.2.1.5 Modeling of biodegradation
- 5.2.1.5.1 Biodegradation in oil spill models
- 5.2.1.5.2 Biodegradation modeling and temperature
- 5.2.1.6 Determination of Biodegradation
- 5.2.1.6.1 Analytical methods for oil compound analyses
- 5.2.1.6.2 Experimental apparatus
- 5.2.1.6.3 Biodegradation data processing
- 5.2.1.7 Persistent Oil Compounds
- 5.2.2 Accelerated Biodegradation
- 5.2.2.1 Biostimulation
- 5.2.2.1.1 Shoreline sediments
- 5.2.2.1.2 Seawater
- 5.2.2.1.3 Marine ice
- 5.2.2.2 Bioaugmentation
- 5.2.2.3 Understanding Processes in Accelerated Biodegradation
- 5.3 Future Research Considerations
- 5.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 5.4 Further Information
- 6.0 ECOTOXICOLOGY OF OIL AND TREATED OIL IN THE ARCTIC
- 6.1 Introduction
- 6.1.1 General Methods and Relevant Endpoints in Laboratory Testing
- 6.1.1.1 Test Exposure
- 6.1.1.2 Test Media Preparation
- 6.1.1.2.1 Water Soluble Fractions (WSF)
- 6.1.1.2.2 Water Accommodated Fractions (WAF, CEWAF)
- 6.1.1.2.3 Oil-in-Water Dispersions (Oil Droplets)
- 6.1.1.2.4 Oil Type/Weathering
- 6.1.1.2.5 Exposure Concentrations
- 6.1.1.2.6 Test Organisms
- 6.1.1.2.7 Test Endpoints and Exposures
- 6.1.1.2.8 Data Extrapolation and Population Models
- 6.2 Knowledge Status
- 6.2.1 Species represented in the data set
- 6.2.2 Arctic ecosystem compartments in the dataset
- 6.2.2.1 Pack ice
- 6.2.2.2 Pelagic
- 6.2.2.3 Benthic
- 6.2.3 Review by Taxa
- 6.2.3.1 Phytoplankton and seaweed
- 6.2.3.2 Mysids
- 6.2.3.3 Copepods
- 6.2.3.4 Amphipods
- 6.2.3.5 Benthic organisms
- 6.2.3.6 Fish
- 6.3 Discussion
- 6.3.1 Petroleum related components
- 6.3.1.1 Crude oil
- 6.3.1.2 Single PAH
- 6.3.2 Chemically dispersed oil versus physically dispersed oil
- 6.3.3 Are Arctic species more sensitive than temperate species?
- 6.4 Future Research Considerations
- 6.4.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 6.5 Further Information
- 7.0 POPULATION EFFECTS MODELING
- 7.1 Introduction
- 7.2 Knowledge Status
- 7.2.1 Parameters Needed to Assess Potential Responses of VECs to Environmental Stressors
- 7.2.1.1 Transport and fate / exposure potential
- 7.2.1.2 Oil toxicity evaluations / sensitivity
- 7.2.1.3 Population distributions, stressors, and mortality rates
- 7.2.2 Copepod Population Ecology
- 7.2.2.1 Copepod Growth and Development
- 7.2.2.2 Summary of Arctic and Sub-Arctic Copepod Species
- 7.2.3 Copepod Populations
- 7.2.4 Arctic Fish Population Ecology
- 7.2.4.1 Arctic Fish Species Diversity
- 7.2.4.2 Representative Fish Species
- 7.2.5 Application of Population Models
- 7.3 Future Research Considerations
- 7.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 7.4 Further Information
- 8.0 ECOSYSTEM RECOVERY
- 8.1 Introduction
- 8.2 Knowledge Status
- 8.2.1 Resilience and Potential for Recovery
- 8.3 Future Research Considerations
- 8.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 8.4 Further Information
- 9.0 NET ENVIRONMENTAL BENEFIT ANALYSES FOR OIL SPILL
- 9.1 Introduction
- 9.2 Knowledge Status
- 9.2.1 Importance of NEBA Development for Arctic Regions
- 9.2.2 Scope and Applicability
- 9.2.3 Information Required to Utilize the NEBA Process
- 9.2.3.1 Potential oil spill scenarios
- 9.2.3.2 Response resources available
- 9.2.4 Ecological Resources at Risk
- 9.2.5 Social and Economic Relevance
- 9.2.6 Historical uses of NEBA and Case Studies
- 9.2.6.1 Assessing response strategy effectiveness and estimating oil fate and transport
- 9.2.6.2 Assessing the potential impacts and resource recovery rates
- 9.2.7 Historical Spills that Used or Informed NEBA Processes
- 9.2.7.1 A. Experimental: Baffin Island tests in northern Canada
- 9.2.7.2 B. Experimental: TROPICS study
- 9.2.7.3 C. Tanker: Braer Spill
- 9.2.7.4 D. Tanker: Sea Empress spill
- 9.2.7.5 E. Well Blowout: Montara spill (also known as the West Atlas Spill)
- 9.2.8 Potential Challenges to Applying NEBA Processes in the Arctic Environment
- 9.3 Future Research Considerations
- 9.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 9.4 Further Information
- APPENDIX: USE OF NEDRA IN CONNECTION TO OIL SPILL CONTINGENCY PLANNING IN NORWAY
- 10.0 SUPPORTING REPORTS
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9.2.3 Information Required to Utilize the NEBA Process
9.2.3.1 Potential oil spill scenarios
Oil spill scenarios should be considered that span the range from worst case to most probable case. Potential spill sources include exploration, development, production and transportation activities. In the United States, spill size categories of minor, medium, and major are established in the National Contingency Plan, with threshold volumes of less than 40 m3 (10,000 gallons), 40 to 400 m3 (510,000 to 100,000 gallons) and greater than 400 m3 (100,000 gallons), respectively. Other organizations, such as International Petroleum Environmental Conservation Association (IPIECA) and the American Petroleum Institute use a three tiered, non-quantified classification system, where Tier 1 is the least environmentally significant or complicated oil spill event, and Tier 3 is the most significant. Tier 1 spills can usually be responded to using local resources provided by the responsible party, whereas Tier 3 requires external response resources from sources such as national stockpiles or international cooperatives and significant involvement by local and national authorities.
Various national regulations require plans that can be good sources of information on spill scenarios and associated response strategies and equipment. Examples are the Facility Response Plans (FRP), Vessel Response Plans (VRP), and Oil Spill Response Plans (OSRP) required in the U.S. When utilizing scenarios from plans required by regulations, it is important to ensure that the NEBA workgroup agrees that the scenarios are realistic, and address worst case spill situations in order to maintain the credibility of overall NEBA assessment. Historical records can also be used to identify applicable spill scenarios. In the U.S., Oil Spill Reports can be accessed through the National Response Center at www.nrc.uscg.mil. Additional accidental release data sources are the DNV Worldwide Offshore Accident Database (Woad 2008) and the SINTEF Blowout and Well Release Characteristics and Frequencies database (SINTEF 2010). In areas such as the Arctic, where oil exploration and production is increasing, and there have been few historical spills, the professional judgment of oil industry and regulatory emergency response professionals may need to be relied on to identify applicable scenarios. However, across all nations, the historical record of spills from military vessels in the Arctic is likely to be insufficient and full reporting of releases from smaller fishing or shipping vessels may not be reliable.
Estimating the fate and effect of oil from various spill scenarios can be accomplished by use of spill trajectory models, and applicable case histories. Oil spill models commonly used include GNOME (NOAA), OILMAP and SIMAP (ASA), and OSCAR (SINTEF). Use of these models requires historical weather data, ocean current data, and identification of likely oil types and their physical and chemical characteristics. In the Arctic, trajectory modeling can be severely affected by sea ice. Use of computer models to predict oil spill trajectories under ice conditions is difficult, but there are coupled ice-ocean models that may be used to provide trajectory input for oil spill models. Coupling sea ice forecasting models with oil spill models is an emerging area of science, and rapid progress is expected in the next 5-10 years. In many cases, combinations of best modeling practices, local knowledge and professional judgment may provide the best available information.
9.2.3.2 Response resources available
Once project-relevant planning scenarios have been developed, potentially applicable OSR strategies must be identified. The OSRs that are typically evaluated include but may not be limited to: 1) natural attenuation (monitoring only), 2) mechanical containment and/or recovery using booms, skimmers, and sorbents; 3) in-situ burning using fire-proof containment boom, natural booming structures such as ice structures, or chemical herders; 4) oil dispersion using chemical dispersant formulations or application of oil-mineral aggregates, and 5) manual clean-up of oiled shorelines and debris. Response strategies must be evaluated based not only on their anticipated effectiveness, collateral impacts, and availability as well as regulatory approval and technical feasibility. Sea ice is likely to be an extremely limiting factor on the feasibility of some response options. Mechanical recovery using booms and skimmers may be effective under open sea conditions, but its effectiveness decreases rapidly with increasing ice coverage, however the applicable response time may be longer than in open water conditions. In-situ burning may be difficult in open water conditions due to wind and wave heights, but may be very effective in open areas between ice packs, or on solid ice surfaces. Any response method that involves movement of large equipment overland may be difficult during summer months due to the lack of hard surfaced roads. Manpower intensive operations may be hampered at any time due to lack of infrastructure to support large numbers of personnel (i.e. lodging, transportation, food, etc.). Safety of response personnel must be considered in all scenarios, and waterborne operations will likely be restricted at times due to heavy weather and/or visibility constraints. Aerial applications of dispersant may have significant limitations under certain icing conditions, but may in fact be the only response option that can be safely employed under other response condition. Estimating the efficiency of any response method in ice conditions is complicated by the icing extent, seasonal factors, and geographic location; however, Evers et al. (2006) produced a chart of operational limits for various response techniques that may be useful for NEBA purposes (Table 9-1). This basic and widely distributed information has been updated based on findings from the SINTEF Oil in Ice JIP report regarding the potential for use of dispersants in ice (Lewis and Daling 2007, Sørstrøm et al. 2010, Faksness et al. 2011). These studies evaluated new methodologies and strategies for dispersion of oil in high ice coverage (80-90%) which included maneuverable dispersant spray units and use of energy and turbulence to complete the dispersion process (see Figure 9-2; also discussed in Daling et al. 2010).
Selection of response methods and resources for environmental conditions under which they are unlikely to be available or not technically feasible will do little to aid in the development of effective or credible response plans, and could create unrealistic expectations for response capabilities. On the other hand, if methods and resources are identified that could produce desired environmental and socioeconomic outcomes capturing such information could help guide future response capacity improvement efforts. Assessment of available and potentially effective response resources could be facilitated by the development of a database that would capture resource information and their capabilities under a range of arctic conditions from existing industry, local, regional, and national response plans.