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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Oil spills. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (617 pages)
    Edition: 1st ed.
    ISBN: 9783030116057
    DDC: 628.16833
    Language: English
    Note: Intro -- Foreword and Dedication -- References -- Contents -- Part I: Introduction -- Chapter 1: Introduction to the Volume -- 1.1 Background -- 1.2 Introduction to the Volume -- References -- Part II: Physics and Chemistry of Deep Oil Well Blowouts -- Chapter 2: The Importance of Understanding Fundamental Physics and Chemistry of Deep Oil Blowouts -- 2.1 Introduction -- 2.2 The Oil -- 2.3 The Reservoir -- 2.4 Subsurface Release -- 2.5 Early Far-Field Fate -- References -- Chapter 3: Physical and Chemical Properties of Oil and Gas Under Reservoir and Deep-Sea Conditions -- 3.1 Molecular Composition and Physical Properties of Petroleum in Reservoirs -- 3.1.1 Source Dependence, Generation, Accumulation, and Alteration of Petroleum -- 3.1.2 Macondo Well Oil Molecular Characteristics -- 3.2 Physical Properties of Oil Under Deep Ocean Conditions -- 3.2.1 Bubble Point -- 3.2.2 Gas Saturation -- 3.2.3 Density and Swelling -- 3.2.4 Viscosity -- 3.2.5 Diffusivity -- 3.2.6 Interfacial Tension -- 3.3 Modeling Phase Equilibria (Gas-Oil-Water) in Oil Reservoirs and in the Deep Sea and Oil Constituent Partitioning -- 3.3.1 Bubble Point -- 3.3.2 Gas Saturation -- 3.3.3 Density and Swelling -- 3.3.4 Viscosity -- 3.3.5 Diffusivity -- 3.3.6 Interfacial Tension -- 3.4 Summary -- References -- Chapter 4: Jet Formation at the Spill Site and Resulting Droplet Size Distributions -- 4.1 Introduction -- 4.2 Determination of Drop Size Distributions in Laboratory and Field Settings -- 4.2.1 Pilot-Scale Jet Experiments -- 4.2.2 Stirrer Cells -- 4.2.3 DeepSpill: Field Experiment in the Deep Sea -- 4.2.4 Equipment for Field Measurements -- 4.2.5 Critical Review of Datasets -- 4.3 Modelling Approaches -- 4.3.1 Scaling-Based Models Using Dimensionless Numbers -- 4.3.2 Mechanistic Modelling. , 4.3.3 Novel Applications of Energy Dissipation Metrics to Understand Droplet Sizes from Experimental Data -- 4.4 Effects of Deep-Sea Blowout Characteristics -- 4.4.1 Influence of Dissolved Gases on the Droplet Size Distribution -- 4.4.2 Influence of Rapid Pressure Loss at the Wellhead and Phase Changes of the Oil -- 4.5 Capabilities and Limits of Subsea Dispersant Injection -- 4.6 Conclusions and Outlooks -- References -- Chapter 5: Behavior of Rising Droplets and Bubbles: Impact on the Physics of Deep-Sea Blowouts and Oil Fate -- 5.1 Introduction -- 5.2 Correlations for the Rise Velocity of Single Fluid Particles -- 5.3 Gas Bubble Behavior: Theoretical and Experimental Insights -- 5.4 Oil Droplet Behavior: Theoretical and Experimental Insights -- 5.5 How Reservoir and Deep-Sea Conditions Change Everything: Rise Behavior of Live Oil Droplets -- 5.6 Swarm Effects, Mass Transfer, and Gas Hydrates -- 5.7 Conclusion -- References -- Part III: Transport and Degradation of Oil and Gas from Deep Spills -- Chapter 6: The Importance of Understanding Transport and Degradation of Oil and Gasses from Deep-Sea Blowouts -- 6.1 Introduction -- 6.2 How Deep Subsea Spills Differ from Surface Releases -- 6.3 Properties of Oil Related to Fate and Transport -- 6.4 Fate of Oil and Gas: Understanding Where Oil Goes -- 6.5 Fate of Oil and Gas: Understanding the Degradation of Oil Components -- 6.6 Tracing the Fate of Oil in the Deep Sea: The Mass Balance -- References -- Chapter 7: Biodegradation of Petroleum Hydrocarbons in the Deep Sea -- 7.1 Introduction -- 7.2 Biodegradation in the Water Column -- 7.2.1 Rate of Liquid and Gaseous Hydrocarbon Biodegradation in the Water Column -- 7.2.2 Microbial Community Changes During the Spill, Pre-spill, and Post-spill -- 7.2.3 The Influence of Dispersants on Microbial Community and Biodegradation -- 7.3 Biodegradation in Sediments. , 7.3.1 Biodegradation of Petroleum in Marine Sediments (DWH and Other Case Studies) -- 7.3.2 Microbial Community Response in Deep Sea Sediments -- 7.4 Effect of High Pressure on Microbially Mediated Hydrocarbon Degradation -- 7.4.1 Ex Situ Incubations of Enriched Seawater and Sediments -- 7.4.2 Pure Culture Studies -- 7.5 Conclusions -- References -- Chapter 8: Partitioning of Organics Between Oil and Water Phases with and Without the Application of Dispersants -- 8.1 Introduction -- 8.2 Partition Device -- 8.3 Results -- 8.3.1 Partition Ratio Calculations -- 8.3.2 Partition Ratios Measured with the Application of Dispersant -- 8.4 Discussion -- 8.4.1 Effects of Pressure, Temperature, and Alkylation on Partitioning of Organics -- 8.4.2 Equilibrium Partition Ratio Along the Water Column -- 8.4.3 Use of Dispersants as a Spill Response Method -- 8.5 Conclusions -- References -- Chapter 9: Dynamic Coupling of Near-Field and Far-Field Models -- 9.1 Introduction -- 9.2 Models Description and Coupling -- 9.2.1 Near-Field Modeling -- 9.2.2 Far-Field Lagrangian Modeling -- 9.3 Coupled Near-Field and Far-Field Model -- 9.4 The Next Generation of Coupled Near-Field and Far-Field Models: Advancements -- References -- Chapter 10: Effects of Oil Properties and Slick Thickness on Dispersant Field Effectiveness and Oil Fate -- 10.1 Introduction -- 10.2 How Natural or Chemical Dispersion Affects Oil Slick Fate -- 10.3 Influence of Individual Key Parameters on Dispersion and Oil Slick Elongation -- 10.3.1 Main Oil Properties -- 10.3.2 Oil Layer Thickness -- 10.3.3 Initial Slick Size -- 10.3.4 Wind Speed -- 10.3.5 Dispersants -- 10.4 Decision-Making About Application of Chemical Dispersion -- 10.4.1 Effectiveness -- 10.4.2 Effects -- 10.4.2.1 Water Column -- 10.4.2.2 Benthic -- 10.5 Concluding Remarks -- References. , Chapter 11: Far-Field Modeling of a Deep-Sea Blowout: Sensitivity Studies of Initial Conditions, Biodegradation, Sedimentation, and Subsurface Dispersant Injection on Surface Slicks and Oil Plume Concentrations -- 11.1 Far-Field Modeling of Oil Spills -- 11.2 Laboratory Experiments and Observational Data for Numerical Modeling Support -- 11.2.1 Droplet Formation in Deep-Sea Conditions -- 11.2.2 Biodegradation of Hydrocarbons in the Water Column -- 11.2.3 Sediment Analysis -- 11.3 Numerical Simulation Description -- 11.3.1 Modeling and Experimental Setup -- 11.3.2 Suite of Numerical Case Studies -- 11.3.3 Model Output and Post-processing Variables -- 11.4 Modeling Results and Analyses -- 11.4.1 Surface Oil Expression -- 11.4.2 Oil Distribution in the Water Column and SSDI Effect -- 11.4.3 Modeled Oil Residue Sedimentation -- 11.5 Summary -- References -- Part IV: Oil Spill Records in Deep Sea Sediments -- Chapter 12: Marine Oil Snow Sedimentation and Flocculent Accumulation (MOSSFA) Events: Learning from the Past to Predict the Future -- 12.1 Defining of Marine Snow: An Operational Approach -- 12.2 Oil-Particle Interactions -- 12.3 Marine "Oil" Snow -- 12.4 MOS: Microhabitat and Entry Point to the Food Web -- 12.5 MOS: Sedimentation and Flocculent Accumulation -- 12.6 MOSSFA: Unique to the Deepwater Horizon Oil Spill? -- 12.7 MOS/MOSSFA: Modeling -- References -- Chapter 13: The Sedimentary Record of MOSSFA Events in the Gulf of Mexico: A Comparison of the Deepwater Horizon (2010) and Ixtoc 1 (1979) Oil Spills -- 13.1 Introduction -- 13.2 What Were the Characteristics of MOSSFA Sedimentary Inputs? -- 13.3 What Was the Extent of MOSSFA on the Seafloor? -- 13.4 What Postdepositional Processes Took Place as a Result of MOSSFA? -- 13.5 Can MOSSFA Be Preserved in the Sedimentary Record? -- 13.6 Conclusions -- References. , Chapter 14: Characterization of the Sedimentation Associated with the Deepwater Horizon Blowout: Depositional Pulse, Initial Response, and Stabilization -- 14.1 Introduction -- 14.2 Approach/Methods -- 14.2.1 Time-Series Approach/High-Resolution Sampling -- 14.2.2 Chronometers: Timing of Deposition -- 14.2.3 Sediment Texture and Composition -- 14.3 Sedimentary Response: Depositional Pulse (2010-2011) -- 14.4 Initial Sedimentary Response: Post-event (2011-2012) -- 14.5 Stabilization/Recovery: Post-event (2013-2016) -- 14.6 Preservation Potential in the Sedimentary Record -- 14.7 Critical Approaches/Methods -- 14.7.1 Rapid Response and Collection of Cores -- 14.7.2 Time Series -- 14.7.3 Sampling Resolution -- 14.7.4 MultiDisciplinary Approach -- 14.8 Conclusions -- References -- Chapter 15: Applications of FTICR-MS in Oil Spill Studies -- 15.1 Introduction -- 15.2 FTICR-MS Basics -- 15.3 Characterization of Source Oils and Weathered Oil Residues Using FTICR-MS -- 15.4 FTICR-MS Characterization of Dissolved Organic Matter and Its Relevance for Oil Spill Assessments -- 15.5 FTICR-MS Characterization of Marine Sediments and Its Relevance for Oil Spill Assessments -- 15.5.1 FTICR-MS Characterization of Marine Oil Snow Associations Generated by Oil Spills -- 15.6 Conclusions and Future Directions -- References -- Chapter 16: Changes in Redox Conditions of Surface Sediments Following the Deepwater Horizon and Ixtoc 1 Events -- 16.1 Introduction -- 16.2 Analytical Approach -- 16.3 Results and Discussion -- 16.3.1 Pre-impact Geochemistry -- 16.3.2 Post-impact: Organic Geochemistry -- 16.3.3 Post-impact: Mn Geochemistry -- 16.3.3.1 Post-impact: Explanation of Double Mn Peak -- 16.3.4 Post-impact: Re Geochemistry -- 16.3.4.1 Post-impact: Evolution of Re Enrichment -- 16.3.5 Post-impact: Ecological Consequences - Benthic Foraminifera. , 16.3.5.1 Post-impact: Ecological Consequences - Benthic Foraminifera (C-13 Depletion).
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Oil spills-Environmental aspects. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (549 pages)
    Edition: 1st ed.
    ISBN: 9783030129637
    Language: English
    Note: Intro -- Foreword and Dedication -- References -- Contents -- Part I: Overview -- Chapter 1: Introduction to the Volume -- 1.1 Introduction -- 1.2 Focus of the Book -- 1.3 Final Thoughts -- References -- Chapter 2: Deepwater Oil and Gas Production in the Gulf of Mexico and Related Global Trends -- 2.1 Introduction -- 2.2 History of Oil Development and Production in the Gulf of Mexico -- 2.3 The Future of Oil and Gas Development in the Gulf of Mexico -- 2.4 Global Deepwater Resource Development -- 2.5 Summary -- References -- Chapter 3: Spilled Oil Composition and the Natural Carbon Cycle: The True Drivers of Environmental Fate and Effects of Oil Spills -- 3.1 Introduction -- 3.2 Carbon Cycle -- 3.3 Biologically Stored Energy -- 3.4 Environmental Redox Reactions -- 3.5 Understanding the Differences Between Persistent and Reactive Pollutants -- 3.6 Origin of Crude Oil -- 3.7 Composition of Crude Oils -- 3.7.1 Aliphatic Hydrocarbons -- 3.7.2 Aromatic Hydrocarbons -- 3.7.3 Non-hydrocarbons -- 3.7.4 Live Oil Versus Dead Oil -- 3.8 Oil Weathering -- 3.8.1 Floating or Subsurface Oil -- 3.8.2 Oil Impacts in Coastal Marshes -- 3.8.3 Subsurface Oil at Released Depth -- 3.8.4 Subsurface Oil's Slow Transit to the Surface -- 3.9 What About the Next Big Spill? -- 3.9.1 Critical Review of DWH Incident -- 3.9.2 Importance of Multidisciplinary Studies and Their Implications -- 3.9.3 Multidisciplinary Scientific Publications -- 3.9.4 Explaining What Happened to Broad Audiences -- 3.10 Conclusions -- References -- Part II: Geological, Chemical, Ecological and Physical Oceanographic Settings and Baselines for Deep Oil Spills in the Gulf of Mexico -- Chapter 12: Combining Isoscapes with Tissue-Specific Isotope Records to Recreate the Geographic Histories of Fish -- 12.1 Introduction -- 12.2 Marine Isoscapes -- 12.3 Overview of Variation in δ13C and δ15N Isoscapes. , 12.4 Effects of Scale on Isoscapes -- 12.5 Tissue-Specific Isotope Analysis -- 12.6 Site Fidelity Based on Two or More Tissues (Tissue Comparison Method) -- 12.7 Lifetime Isotope Records from Eye Lenses -- 12.8 Practical Solutions for Eye-Lens Analysis -- 12.9 Interpretation of Lifetime Isotopic Histories from Eye Lenses -- References -- Chapter 13: The Utility of Stable and Radioisotopes in Fish Tissues as Biogeochemical Tracers of Marine Oil Spill Food Web Effects -- 13.1 Introduction -- 13.2 Stable Isotopes Utilized to Infer Food Web Effects -- 13.2.1 Temporal Variability in Reef Fish Muscle Stable Isotopes -- 13.3 Petrocarbon Assimilation in the Gulf of Mexico Food Web -- 13.3.1 Radiocarbon Analysis of Reef Fish Muscle Tissue -- 13.3.2 Potential Long-Term Biomarkers -- 13.4 Summary and Implications for Future Marine Oil Spills -- References -- Chapter 14: Modernizing Protocols for Aquatic Toxicity Testing of Oil and Dispersant -- 14.1 Introduction -- 14.2 Understanding the Objectives for Aquatic Toxicity Testing of Oil and Dispersants -- 14.3 The Genesis of CROSERF Protocols -- 14.4 Evolution and Modification of CROSERF Methods -- 14.5 Lessons Learned from the DWH Spill and Recommendations for Future Oil Spill Toxicology Research -- 14.5.1 Recommendations for Modernizing of CROSERF Protocols -- References -- Chapter 15: Polycyclic Aromatic Hydrocarbon Baselines in Gulf of Mexico Fishes -- 15.1 Introduction -- 15.2 Pre-DWH Polycyclic Aromatic Hydrocarbon Baselines in Fish -- 15.3 Post-DWH and Ixtoc 1 Baselines in Fish -- 15.3.1 Seafood Safety -- 15.3.2 Hepatobiliary and Extrahepatic PAH Levels in Fish -- 15.4 Conclusions -- References -- Chapter 16: Case Study: Using a Combined Laboratory, Field, and Modeling Approach to Assess Oil Spill Impacts -- 16.1 Introduction -- 16.2 Case Study Overview -- 16.2.1 Target Species -- 16.2.2 Conceptual Model. , 16.2.3 Sensitivity Analysis -- 16.2.4 Developing a Targeted Research Strategy -- 16.3 Targeted Research -- 16.3.1 Field Research -- 16.3.1.1 Habitat suitability -- 16.3.1.2 Contaminant Distribution and Composition -- 16.3.2 Laboratory Research -- 16.3.2.1 Toxicity Effects -- 16.3.2.2 Demographic Endpoints -- 16.3.2.3 Density Dependence -- 16.3.3 Modeling -- 16.3.3.1 Interaction of Density Dependence and Contaminant Effects -- 16.3.3.2 Temperature-Dependent Demographic Rates -- 16.4 Assessing Risk Using Models of Varying Complexity -- 16.4.1 Models to Evaluate Risk -- 16.4.2 Model Outcomes -- 16.5 Summary and Recommendations for Future Studies -- References -- Chapter 4: An Overview of the Geologic Origins of Hydrocarbons and Production Trends in the Gulf of Mexico -- 4.1 Introduction -- 4.2 Evolution of Gulf of Mexico -- 4.3 Basic Ingredients Required to Generate Oil/Gas Accumulations -- 4.4 Exploration and Production Trends -- 4.5 Where Is the Industry Headed Next and Why? -- 4.6 Online Resources for Up-to-Date Information -- 4.7 Conclusions -- References -- Chapter 5: Gulf of Mexico (GoM) Bottom Sediments and Depositional Processes: A Baseline for Future Oil Spills -- 5.1 Introduction -- 5.2 Gulf of Mexico Basin -- 5.2.1 Eastern GoM Basin-Mississippi Fan -- 5.2.2 Western GoM Basin -- 5.2.3 Implications for Oiled Sediment Deposition/Accumulation -- 5.3 Carbonate-Dominated Margins: West Florida and Campeche Bank -- 5.3.1 West Florida -- 5.3.2 Campeche Bank -- 5.3.3 Implications for Oiled Sediment Deposition/Accumulation -- 5.4 Siliciclastic Margins: Northwest Florida to Mexico -- 5.4.1 Northern GoM Continental Margin: Northwest Florida to Central Texas -- 5.4.2 Western GoM Margin: Texas to Mexico -- 5.4.3 Southwestern GoM Margin: Mexico -- 5.4.4 Implications for Oiled Sediment Deposition/Accumulation -- 5.5 Cuba. , 5.5.1 Implications for Oiled Sediment Deposition/Accumulation -- 5.6 Conclusions -- References -- Chapter 6: Benthic Faunal Baselines in the Gulf of Mexico: A Precursor to Evaluate Future Impacts -- 6.1 Background -- 6.2 Developing a New Normal -- 6.2.1 Benthic Foraminifera -- 6.2.2 Meiofauna -- 6.2.3 Macrofauna -- 6.3 Conclusions -- References -- Chapter 7: Linking Abiotic Variables with Macrofaunal and Meiofaunal Abundance and Community Structure Patterns on the Gulf of Mexico Continental Slope -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 Abiotic Variables -- 7.2.2 Biotic Variables -- 7.2.3 Diversity and Evenness -- 7.2.4 Principal Component Analysis -- 7.2.5 Nonmetric Multidimensional Scaling -- 7.3 Results -- 7.3.1 Environmental Analyses -- 7.3.2 Benthic Abundance and Community Analyses -- 7.3.3 Linking Environment and Benthos -- 7.3.4 Temporal Change -- 7.3.5 Diversity Spatial Change -- 7.4 Discussion -- 7.4.1 Environmental Analyses -- 7.4.2 Benthic Abundance and Community Analyses -- 7.4.3 Linking Environment and Benthos -- 7.5 Conclusion -- References -- Chapter 8: The Asphalt Ecosystem of the Southern Gulf of Mexico: Abyssal Habitats Across Space and Time -- 8.1 Introduction -- 8.2 Seep Habitats in the Northern Gulf of Mexico -- 8.3 A Novel Seep Process in the Southern Gulf of Mexico -- 8.4 The Asphalt Flow at Chapopote -- 8.5 Fresh Oil and Asphalt at Mictlan -- 8.6 Gas Seeps and Hydrate at Tsanyao Yang Knoll -- 8.7 Epifauna from the Campeche Knolls Chemosynthetic Communities -- 8.8 Research Questions and Resource Protection -- References -- Chapter 9: Geochemical and Faunal Characterization in the Sediments off the Cuban North and Northwest Coast -- 9.1 Introduction -- 9.2 Geographical Setting and Sampling -- 9.3 Sediment Characterization -- 9.4 Fauna Communities -- 9.4.1 Mollusks -- 9.4.2 Meiofauna -- 9.4.3 Foraminifera -- 9.5 Conclusions. , References -- Chapter 10: Mapping Isotopic and Dissolved Organic Matter Baselines in Waters and Sediments of the Gulf of Mexico -- 10.1 Introduction -- 10.2 Analytical Approaches -- 10.2.1 High-Resolution Mass Spectrometry: FTICR-MS -- 10.2.1.1 Stable Isotope Analysis -- 10.2.1.2 Radiocarbon Analysis -- 10.3 FTICR-MS -- 10.3.1 Geochemical Characterization of the FTICR-MS Composition of the Baseline Water Column Profile (at Multiple Depths) from Northern Gulf of Mexico -- 10.3.2 Geochemical Characterization of the FTICR-MS Composition of the Baseline Sediment WEOM from Northern Gulf of Mexico -- 10.3.3 Continuum Between Water Column and Sediments -- 10.4 Stable and Radiocarbon Isotopic Composition of Gulf of Mexico Organic Matter Pools -- 10.4.1 Dissolved Organic Carbon -- 10.4.2 Sinking Particulate Organic Carbon -- 10.4.3 Sedimentary Organic Carbon -- 10.4.4 Ramped Pyrolysis-Oxidation of Sedimentary Organic Matter -- 10.5 Conclusions and Baselines -- References -- Chapter 11: Toward a Predictive Understanding of the Benthic Microbial Community Response to Oiling on the Northern Gulf of Mexico Coast -- 11.1 Introduction -- 11.2 Fate of Petroleum Hydrocarbons at Pensacola Municipal Beach -- 11.3 Diagnosis of the Oil-Induced Bacterial Bloom Using Next-Generation Sequencing Methods -- 11.4 Using Metagenomics to Determine the Functional Response to Oil Contamination -- 11.5 Linking Advances in Metagenomics to Cultivation -- 11.6 Conclusions and Guidance for Future Emergency Response Efforts -- References -- Part III: Simulations of Future Deep Spills -- Chapter 17: Testing the Effect of MOSSFA (Marine Oil Snow Sedimentation and Flocculent Accumulation) Events in Benthic Microcosms -- 17.1 Introduction -- 17.2 Experimental Setup -- 17.2.1 Test Systems -- 17.2.2 Treatments -- 17.2.3 Analyses -- 17.3 Experimental Results -- 17.3.1 Oxygen Levels. , 17.3.2 Macroinvertebrates.
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  • 3
    Keywords: Aquatic biology ; Marine & Freshwater Sciences ; Marine Sciences ; Environmental chemistry ; Environmental management ; Biotechnology ; Aquatic ecology . ; Freshwater. ; Water quality. ; Environmental engineering. ; Water pollution. ; Ölunfall
    Description / Table of Contents: Section I Overview -- 1 Introduction to the volume -- 2 Deep-water oil and gas production in the Gulf of Mexico, and related global trends -- 3 Spilled oil composition and the natural carbon cycle: The true drivers of environmental fate and effects of oil spills -- Section II Geological, Chemical, Ecological and Physical Oceanographic Settings and Baselines for Deep Oil Spills in the Gulf of Mexico -- 4 An overview of the geologic origins of hydrocarbons and production trends in the Gulf of Mexico -- 5 Gulf of Mexico (GoM) bottom sediments and depositional processes: A baseline for future oil spills -- 6 Benthic faunal baselines in the Gulf of Mexico: A precursor to evaluate future impacts -- 7 Linking abiotic variables with macrofaunal and meiofaunal abundance and community -- 8 The asphalt ecosystem of the southern Gulf of Mexico: abyssal habitats across space and time -- 9 Geochemical and faunal characterization in the sediments off the Cuban north and northwest coast -- 10 Mapping isotopic and dissolved organic matter baselines in waters and sediments of Gulf of Mexico -- 11 Toward a predictive understanding of the benthic microbial community response to oiling on the northern Gulf of Mexico coast -- 12 Combining isoscapes with tissue-specific isotope records to re-create the geographic histories of fish -- 13 The utility of stable and radio isotopes in fish tissues as biogeochemical tracers of marine oil spill food web effects -- 14 Modernizing protocols for aquatic toxicity testing of oil and dispersant -- 15 Polycyclic aromatic hydrocarbon baselines in Gulf of Mexico fishes -- 16 Case Study: Using a combined laboratory, field, and modeling approach to assess oil spill impacts -- Section III Simulations of Future Deep Spills -- 17 Testing the effect of MOSSFA (Marine Oil Snow Sedimentation and Flocculent Accumulation) events in benthic microcosms -- 18 Physical processes influencing the sedimentation and lateral transport of MOSSFA in the NE Gulf of Mexico -- 19 Simulating deep oil spills beyond the Gulf of Mexico -- Section IV Comparisons of likely impacts from simulated spills -- 20 Comparison of the spatial extent, impacts to shorelines, and ecosystem and 4-dimensional characteristics of simulated oil spills -- 21 A predictive strategy for mapping locations where future MOSSFA events are expected -- 22 Connectivity of Gulf of Mexico continental shelf fish populations and implications of simulated oil spills -- 23 Evaluating the effectiveness of fishery closures for deep oil spills using a 4-dimensional model -- 24 As Gulf oil extraction goes deeper, who is at risk? Community structure, distribution, and connectivity of the deep-pelagic fauna -- 25 Evaluating impacts of deep oil spills on oceanic marine mammals -- 26 Comparative environmental sensitivity of offshore Gulf of Mexico waters potentially impacted by ultra-deep oil well blowouts -- Section V Preparing for and Responding to the Next Deepwater Spill -- 27 Preparing for the inevitable: ecological and indigenous community impacts of oil spill-related mortality in the United States Arctic marine ecosystem -- 28 Summary of contemporary research on use of chemical dispersants for deep sea oil spills -- 29 Perspectives on research, technology, policy and human resources for improved management of ultra-deep oil and gas resources and responses to oil spills -- Index
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (XII, 542 p. 167 illus., 138 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9783030129637
    Series Statement: Springer eBooks
    Language: English
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  • 4
    Keywords: Aquatic biology ; Marine & Freshwater Sciences ; Marine Sciences ; Environmental chemistry ; Environmental management ; Biotechnology ; Aquatic ecology . ; Freshwater. ; Water quality. ; Environmental engineering. ; Water pollution. ; Aufsatzsammlung ; Ölunfall ; Gewässersanierung ; Bodensanierung ; Ölpest ; Tiefsee ; Deepwater Horizon
    Description / Table of Contents: Inhaltsverzeichnis: Section I. Introduction -- 1. Introduction to the Volume -- Section II. Physics and Chemistry of Deep Oil Well Blowouts -- 2. The importance of understanding fundamental physics and chemistry of deep oil blowouts -- 3. Physical and chemical properties of oil and gas under reservoir and deep-sea conditions -- 4. Jet formation at the blowout site -- 5. Behavior of rising droplets and bubbles – impact on the physics of deep-sea blowouts and oil fate -- Section III. Transport and Degradation of Oil and Gas from Deep Spills -- 6. The importance of understanding transport and degradation of oil and gasses from deep sea blowouts -- 7. Biodegradation of petroleum hydrocarbons in the deep sea -- 8 Partitioning of organics between oil and water phases with and without the application of dispersants -- 9. Dynamic coupling of near-field and far-field models -- 10. Effects of oil properties and slick thickness on dispersant field effectiveness and oil fate -- 11. Far-field modeling of a deep-sea blowout: sensitivity studies of initial conditions, biodegradation, sedimentation and sub-surface dispersant injection on surface slicks and oil plume concentrations -- Section IV. Oil Spill Records in Deep Sea Sediments -- 12. Formation and sinking of MOSSFA (Marine Oil Snow Sedimentation and Flocculent Accumulation) events: Past and Present -- 13. The sedimentary record of MOSSFA events in the Gulf of Mexico: A comparison of the Deepwater Horizon (2010) and Ixtoc 1 (1979) oil spills -- 14. Characterization of the sedimentation associated with the Deepwater Horizon blowout: depositional pulse, initial response, and stabilization -- 15. Applications of FTICR-MS in oil spill studies -- 16. Changes in redox conditions of surface sediments following the Deepwater Horizon and Ixtoc 1 events -- 17. Long-term preservation of oil spill events in sediments: the case for the Deepwater Horizon spill in the northern Gulf of Mexico -- 18. Effect of marine snow on microbial oil degradation -- 19. Molecular legacy of the 1979 Ixtoc 1 oil spill in deep-sea sediments of the southern Gulf of Mexico -- 20. 40 years of weathering of coastal oil residues in the southern Gulf of Mexico -- Section V. Impacts of Deep Spills on Plankton, Fishes, and Protected Resources -- 21. Overview of ecological impacts of deep spills -- 22. Deep-sea benthic faunal impacts and community evolution before, during and after the Deepwater Horizon event -- 23. Impact and resilience of benthic foraminifera in the aftermath of the Deepwater Horizon and Ixtoc 1 oil spills -- 24. Chronic sublethal effects observed in wild caught fish following two major oil spills in the Gulf of Mexico: Deepwater Horizon and Ixtoc 1 -- 25. Impacts of deep spills on fish and fisheries -- 26. Impacts of the Deepwater Horizon oil spill on marine mammals and sea turtles -- Section VI. Toxicology of Deep Oil Spills -- 27. Ecotoxicology of deep ocean spills -- 28 A synthesis of Deepwater Horizon oil, chemical dispersant and chemically dispersed oil aquatic standard laboratory acute and chronic toxicity studies -- 29. Digging deeper than LC/EC50: non-traditional endpoints and non-model species in oil spill toxicology -- 30. Genetics and oil: transcriptomics, epigenetics and population genomics as tools to understand animal responses to exposure across different time scales -- Section VI. I Ecosystem-level modeling of deep oil spill impacts -- 31. A synthesis of top down and bottom up impacts of the Deepwater Horizon oil spill using ecosystem modeling -- 32. Comparing ecosystem model outcomes between Ixtoc 1 and Deepwater Horizon oil spills -- 33. Effects of the Deepwater Horizon oil spill on Human Communities: Catch and Economic Impacts -- Section VIII. Summary -- 34. Summary of Major Themes – Deep Oil Spills -- Index
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (XIV, 611 p. 152 illus., 110 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9783030116057
    Series Statement: Springer eBooks
    Language: English
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  • 5
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2013. This is the author's version of the work. It is posted here by permission of The Royal Society for personal use, not for redistribution. The definitive version was published in Proceedings of the Royal Society B Biological Sciences 280 (2013): 20130327, doi:10.1098/rspb.2013.0327.
    Description: Several factors lead to expectations that the scale of larval dispersal and population connectivity of marine animals differs with latitude. We examine this expectation for demersal shorefishes, including relevant mechanisms, assumptions, and evidence. We explore latitudinal differences in: 1) biological (e.g., species composition, spawning mode, pelagic larval duration (PLD)), 2) physical (e.g., water movement, habitat fragmentation), and 3) biophysical factors (primarily temperature, which could strongly affect development, swimming ability, or feeding). Latitudinal differences exist in taxonomic composition, habitat fragmentation, temperature, and larval swimming, and each could influence larval dispersal. Nevertheless, clear evidence for latitudinal differences in larval dispersal at the level of broad faunas is lacking. For example, PLD is strongly influenced by taxon, habitat, and geographic region, but no independent latitudinal trend is present in published PLD values. Any trends in larval dispersal may be obscured by a lack of appropriate information, or use of ‘off the shelf’ information that is biased with regard to the species assemblages in areas of concern. Biases may also be introduced from latitudinal differences in taxa or spawning modes, as well as limited latitudinal sampling. We suggest research to make progress on the question of latitudinal trends in larval dispersal.
    Description: TK was supported by the Norwegian Research Council through project MENUII #190286. JML was supported by ARC Discovery Grant DP110100695. JEC and RRW were supported by the Partnership for the Interdisciplinary Study of Coastal Oceans, funded by The David and Lucille Packard Foundation and the Gordon and Betty Moore Foundation.
    Description: 2014-03-20
    Keywords: Population connectivity ; Larval dispersal ; Pelagic larval duration ; Larval behaviour ; Genetic structure ; Habitat fragmentation
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 6
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2015. This is the author's version of the work. It is posted here for personal use, not for redistribution. The definitive version was published in Ocean Modelling 106 (2016): 74–89, doi:10.1016/j.ocemod.2016.09.010.
    Description: The gains from implementing high-resolution versus less costly low-resolution models to describe coastal circulation are not always clear, often lacking statistical evaluation. Here we construct a hierarchy of ocean-atmosphere models operating at multiple scales within a 1×1° domain of the Belizean Barrier Reef (BBR). The various components of the atmosphere-ocean models are evaluated with in situ observations of surface drifters, wind and sea surface temperature. First, we compare the dispersion and velocity of 55 surface drifters released in the field in summer 2013 to the dispersion and velocity of simulated drifters under alternative model configurations. Increasing the resolution of the ocean model (from 1/12° to 1/100°, from 1 day to 1 h) and atmosphere model forcing (from 1/2° to 1/100°, from 6 h to 1 h), and incorporating tidal forcing incrementally reduces discrepancy between simulated and observed velocities and dispersion. Next, in trying to understand why the high-resolution models improve prediction, we find that resolving both the diurnal sea-breeze and semi-diurnal tides is key to improving the Lagrangian statistics and transport predictions along the BBR. Notably, the model with the highest ocean-atmosphere resolution and with tidal forcing generates a higher number of looping trajectories and sub-mesoscale coherent structures that are otherwise unresolved. Finally, simulations conducted with this model from June to August of 2013 show an intensification of the velocity fields throughout the summer and reveal a mesoscale anticyclonic circulation around Glovers Reef, and sub-mesoscale cyclonic eddies formed in the vicinity of Columbus Island. This study provides a general framework to assess the best surface transport prediction from alternative ocean-atmosphere models using metrics derived from high frequency drifters’ data and meteorological stations.
    Description: This research is supported by the National Science Foundation award NSF-OCE 1260424.
    Keywords: Ocean-atmosphere model ; Lagrangian drifters ; High-resolution ; Coral reefs ; Belize
    Repository Name: Woods Hole Open Access Server
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  • 7
    Publication Date: 2022-10-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Bracco, A., Paris, C. B., Esbaugh, A. J., Frasier, K., Joye, S. B., Liu, G., Polzin, K. L., & Vaz, A. C. Transport, fate and impacts of the deep plume of petroleum hydrocarbons formed during the Macondo blowout. Frontiers in Marine Science, 7, (2020): 542147, doi:10.3389/fmars.2020.542147.
    Description: The 2010 Macondo oil well blowout consisted in a localized, intense infusion of petroleum hydrocarbons to the deep waters of the Gulf of Mexico. A substantial amount of these hydrocarbons did not reach the ocean surface but remained confined at depth within subsurface plumes, the largest and deepest of which was found at ∼ 1000–1200 m of depth, along the continental slope (the deep plume). This review outlines the challenges the science community overcame since 2010, the discoveries and the remaining open questions in interpreting and predicting the distribution, fate and impact of the Macondo oil entrained in the deep plume. In the past 10 years, the scientific community supported by the Gulf of Mexico Research Initiative (GoMRI) and others, has achieved key milestones in observing, conceptualizing and understanding the physical oceanography of the Gulf of Mexico along its northern continental shelf and slope. Major progress has been made in modeling the transport, evolution and degradation of hydrocarbons. Here we review this new knowledge and modeling tools, how our understanding of the deep plume formation and evolution has evolved, and how research in the past decade may help preparing the scientific community in the event of a future spill in the Gulf or elsewhere. We also summarize briefly current knowledge of the plume fate – in terms of microbial degradation and geochemistry – and impacts on fish, deep corals and mammals. Finally, we discuss observational, theoretical, and modeling limitations that constrain our ability to predict the three-dimensional movement of waters in this basin and the fate and impacts of the hydrocarbons they may carry, and we discuss research priorities to overcome them.
    Description: This review was made possible by funding from the Gulf of Mexico Research Initiative (GoMRI) and is a product of the Core Area 1 Synthesis workshop. The authors have contributed research on the Gulf deep circulation and the deep plume through GoMRI-funded consortia (ECOGIG for AB, SJ and GL, C-IMAGE for CP, AV and KF, and RECOVER for AE) and one of the RFP-5 grant (KP). KP was partially supported also by NSF OCE-1536779.
    Keywords: Deepwater Horizon ; Deepwater plume ; Ocean modeling ; Oil modeling ; Transport and mixing processes ; Active tracer
    Repository Name: Woods Hole Open Access Server
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  • 8
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ocean Modelling 121 (2018): 49-75, doi:10.1016/j.ocemod.2017.11.008.
    Description: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for tracking virtual particles. We then showcase some of the innovative applications of trajectory data, and conclude with some open questions and an outlook. The overall goal of this review paper is to reconcile some of the different techniques and methods in Lagrangian ocean analysis, while recognising the rich diversity of codes that have and continue to emerge, and the challenges of the coming age of petascale computing.
    Description: EvS has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 715386). This research for PJW was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. Funding for HFD was provided by Grant No. DE-SC0012457 from the US Department of Energy. PB acknowledges support for this work from NERC grant NE/R011567/1. SFG is supported by NERC National Capability funding through the Extended Ellett Line Programme.
    Keywords: Ocean circulation ; Lagrangian analysis ; Connectivity ; Particle tracking ; Future modelling
    Repository Name: Woods Hole Open Access Server
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  • 9
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Drifter data
    Description: Trajectories of fifty-five biodegradable drifters in the Belizean Barrier Reef. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/729896
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 10
    Publication Date: 2022-05-26
    Description: © 2009 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial License. The definitive version was published in Coral Reefs 28 (2009): 327-337, doi:10.1007/s00338-009-0466-z.
    Description: Design and decision-making for marine protected areas (MPAs) on coral reefs require prediction of MPA effects with population models. Modeling of MPAs has shown how the persistence of metapopulations in systems of MPAs depends on the size and spacing of MPAs, and levels of fishing outside the MPAs. However, the pattern of demographic connectivity produced by larval dispersal is a key uncertainty in those modeling studies. The information required to assess population persistence is a dispersal matrix containing the fraction of larvae traveling to each location from each location, not just the current number of larvae exchanged among locations. Recent metapopulation modeling research with hypothetical dispersal matrices has shown how the spatial scale of dispersal, degree of advection versus diffusion, total larval output, and temporal and spatial variability in dispersal influence population persistence. Recent empirical studies using population genetics, parentage analysis, and geochemical and artificial marks in calcified structures have improved the understanding of dispersal. However, many such studies report current self-recruitment (locally produced settlement/settlement from elsewhere), which is not as directly useful as local retention (locally produced settlement/total locally released), which is a component of the dispersal matrix. Modeling of biophysical circulation with larval particle tracking can provide the required elements of dispersal matrices and assess their sensitivity to flows and larval behavior, but it requires more assumptions than direct empirical methods. To make rapid progress in understanding the scales and patterns of connectivity, greater communication between empiricists and population modelers will be needed. Empiricists need to focus more on identifying the characteristics of the dispersal matrix, while population modelers need to track and assimilate evolving empirical results.
    Description: Work by CB Paris was supported by the National Science Foundation grant NSF-OCE 0550732. Work by M-A Coffroth and SR Thorrold was supported by the National Science Foundation grant NSF-OCE 0424688. Work by TL Shearer was supported by an International Cooperative Biodiversity Group grant R21 TW006662-01 from the Fogarty International Center at the National Institutes of Health.
    Keywords: Connectivity ; Larval dispersal ; Marine protected areas ; Resilience ; Replacement ; Genetics
    Repository Name: Woods Hole Open Access Server
    Type: Article
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