Muutke küpsiste eelistusi

E-raamat: Marine Hydrocarbon Spill Assessments: From Baseline Information through to Decision Support Tools

Edited by (MetOcean Dynamic Solutions Pty Ltd, Fannie Bay, Northern Territory, Australia)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Aug-2021
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128193730
  • Formaat - PDF+DRM
  • Hind: 188,37 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Aug-2021
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128193730

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Marine Hydrocarbon Spill Assessments: From Risk of Spill through to Probabilities Estimates describes the methods used for estimating hydrocarbon spill risks and the potential consequences. Throughout the book, mathematical methodologies and algorithms are included to aid the reader in the solving of applied tasks presented. Marine Hydrocarbon Spill Assessments: From Risk of Spill through to Probabilities Estimates provides a fundamental understanding of the oil properties and processes which determine the persistence and impacts of oils in the marine environment. It informs the reader of the current research in hydrocarbon spill assessments, starting from an assessment of a risk of a spill, and moving on to modelling approaches to impact assessments, laboratory toxicity assessments, field impact assessments and response options, and prevention and contingency planning.
  • Identifies efficient solutions to protect coastal regions from the marine pollution of hydrocarbon spills
  • Includes case studies examining and analyzing spills, providing lessons to prevent these in the future
  • Covers the science of oil spills from risk analysis to cleanup and the effects on the environment
List of contributors
xi
Introduction xiii
1 Baseline data for spill assessments: ambient conditions, socioeconomic data, sensitivity maps
1(26)
Lucy Romeo
Patrick Wingo
Michael Sabbatino
Jennifer Bauer
1.1 Why and for what baseline data are needed?
1(1)
1.2 Types and sources of baseline data
2(13)
1.2.1 Ambient
3(3)
1.2.2 Socioeconomic
6(2)
1.2.3 Sensitivity maps
8(3)
1.2.4 Data availability, limitations, and expectations
11(4)
1.3 Building a baseline
15(5)
1.3.1 Identifying knowledge needs
15(1)
1.3.2 Acquiring and cataloging data
16(2)
1.3.3 Integrating, analyzing, and publishing data
18(2)
1.4 What can we do to improve baselines
20(2)
Acknowledgments
22(1)
Disclaimer
22(1)
References
22(5)
2 A brief survey of oil spill weathering models
27(32)
William J. Lehr
2.1 Introduction what to expect from this chapter
27(1)
2.2 Characterizing oil ---enter the Tower of Babel
28(1)
2.3 Bulk oil properties---considering the forest rather than individual tree
28(5)
2.4 Oil weathering estimation---the two (or maybe three) philosophical schools
33(1)
2.5 Weathering processes---those that do not alter the spill's chemical mixture
34(12)
2.5.1 Oil spreading
34(5)
2.5.2 Natural surface dispersion
39(5)
2.5.3 Oil---particle aggregation
44(1)
2.5.4 Oil-water emulsion formation
44(2)
2.6 Weathering processes---those that do alter the chemical mixture
46(5)
2.6.1 Evaporation
47(2)
2.6.2 Dissolution
49(1)
2.6.3 Photooxidation
50(1)
2.7 Discussion and caveat
51(1)
2.8 Notation (bracket shows frequently used units for dimensional terms)
51(1)
References
52(7)
3 Horizontal transport in oil-spill modeling
59(38)
Rodrigo Duran
Tor Nordam
Mattia Serra
Christopher H. Barker
3.1 Introduction
59(1)
3.2 The physics, the mathematics, and the numerics
60(5)
3.3 Overview of oil transport in the ocean
65(6)
3.3.1 Sources of velocity for oil-spill modeling
67(4)
3.4 Transport in the upper layer of the ocean
71(6)
3.4.1 Windage
72(2)
3.4.2 Stokes drift
74(1)
3.4.3 Horizontal organization induced by vertical motion
75(2)
3.5 Modern Lagrangian tools
77(8)
3.5.1 Eulerian Coherent Structures
79(1)
3.5.2 Revisiting the Deepwater Horizon with modern tools
80(5)
3.6 Conclusion and outlook
85(2)
Acknowledgments
87(1)
References
87(6)
Appendix A Automated oil-spill simulations
93(4)
4 Vertical mixing in oil spill modeling
97(48)
Tor Nordam
Jørgen Skancke
Rodrigo Duran
Christopher H. Barker
4.1 Introduction
97(2)
4.2 Vertical mixing in the ocean
99(5)
4.2.1 Turbulent diffusion
99(1)
4.2.2 Origins of vertical mixing in the ocean
100(2)
4.2.3 Modeling ocean turbulence
102(1)
4.2.4 Wave modeling
103(1)
4.3 Entrainment of surface oil
104(5)
4.3.1 Droplet size distribution of entrained oil
105(2)
4.3.2 Entrainment rate of oil due to breaking waves
107(2)
4.3.3 Entrainment depth of oil due to breaking waves
109(1)
4.4 Submerged oil
109(4)
4.4.1 Calculation of droplet rise speeds
110(2)
4.4.2 Role of dispersants
112(1)
4.5 Eulerian model of vertical mixing
113(3)
4.5.1 Advection-diffusion equation
113(1)
4.5.2 Boundary conditions
114(1)
4.5.3 Source term for entrainment of oil
115(1)
4.5.4 Modeling a droplet size distribution
116(1)
4.5.5 The well-mixed condition
116(1)
4.6 Lagrangian modeling of vertical mixing
116(4)
4.6.1 Modeling vertical diffusion as a random walk
117(1)
4.6.2 Vertical timestep
118(1)
4.6.3 Boundary conditions
119(1)
4.7 Some examples and pitfalls
120(8)
4.7.1 Naive random walk
120(2)
4.7.2 Step-function diffusivity
122(2)
4.7.3 Linearly interpolated diffusivity
124(1)
4.7.4 Chemically dispersed oil in the mixed layer
125(3)
4.8 Example cases
128(2)
4.8.1 The 1993 Braer oil spill
129(1)
4.8.2 The 2011 Golden Trader oil spill
129(1)
4.9 Advanced topics and further reading
130(6)
4.9.1 Higher-order stochastic differential equation solvers
130(1)
4.9.2 Autocorrelated velocity or acceleration
131(3)
4.9.3 Reconstructing a concentration field from particles
134(2)
4.10 Summary
136(1)
References
136(5)
Appendix A Equivalence between Eulerian and Lagrangian pictures
141(4)
5 Operational oil spill modelling assessments
145(54)
George Zodiatis
Robin Lardner
Katerina Spanoudaki
Sarantis Sofianos
Hari Radhakrishnan
Giovanni Coppini
Svitlana Liubartseva
Nikos Kampanis
George Krokos
Ibrahim Hoteit
Joaquin Tintore
Tatiana Eremina
Aldo Drago
5.1 Introduction
145(5)
5.2 Convection, diffusion, and beaching
150(3)
5.3 Weathering processes
153(14)
5.3.1 Emulsification
158(2)
5.3.2 Dispersion
160(2)
5.3.3 Spreading
162(1)
5.3.4 Dissolution
163(2)
5.3.5 Photooxidation
165(2)
5.4 Biodegradation
167(7)
5.4.1 The pseudo-component approach
168(1)
5.4.2 Pseudo-component evaporation model
169(1)
5.4.3 Biodegradation test case
170(4)
5.5 Modeling of oil spills below the sea surface
174(6)
5.5.1 Experiments to access the sensitivity of the plume model parameters
176(4)
5.6 Oil spill prediction in areas with ice
180(3)
5.7 Good practice for operational implementation of oil spill models
183(4)
5.8 Conclusions
187(1)
References
188(6)
Appendix A Biodegradation for dissolved oil and oil droplets dispersed in the water column
194(5)
6 Assessment of oil toxicity in water
199(22)
Trond Nordtug
Bjørn Henrik Hansen
6.1 Introduction
199(1)
6.2 Crude oil properties in water
199(1)
6.3 Approaches for characterizing oil toxicity
200(1)
6.4 Preparation of exposure solutions
201(5)
6.4.1 Oil loading and impacts on partitioning of components between oil and water
201(3)
6.4.2 Stability of oil dispersions
204(2)
6.5 Characterization of exposure
206(2)
6.6 Bioavailability of oil components
208(3)
6.6.1 The impact of biomass used in toxicity testing
208(1)
6.6.2 Impact of exposure duration and kinetics of uptake and depuration
208(2)
6.6.3 Route of biological uptake of oil components
210(1)
6.6.4 Body residue as exposure descriptors
211(1)
6.7 Selection of toxicity endpoints
211(1)
6.8 Method to generate parameterized toxicity data for input to risk assessment models
212(3)
6.8.1 Standardization of exposure parameters
213(1)
6.8.2 Application of the method
214(1)
6.9 Conclusions
215(1)
References
216(5)
7 Chemical assessments of sources, fate, and impacts of marine oil spills
221(24)
Jagos R. Radovic
7.1 Introduction
221(3)
7.2 Spill source assessment
224(4)
7.3 Assessment of environmental fate
228(8)
7.3.1 Re-evaluation of postspill weathering processes
229(4)
7.3.2 Novel postspill phenomena---marine-oil-snow sedimentation and flocculent accumulation
233(3)
7.4 Assessments of oil spills impacts
236(2)
7.5 Conclusions and recommendations
238(1)
Acknowledgments
239(1)
References
239(6)
8 Spill impact and response analyses
245(44)
Jake Nelson
8.1 Introduction
245(2)
8.2 Impact, risk, and response analysis---theory and practice
247(7)
8.2.1 Impact assessment
248(3)
8.2.2 Risk
251(3)
8.3 Response analysis
254(7)
8.3.1 Response strategies
255(1)
8.3.2 Spatial optimization
256(2)
8.3.3 Strategic
258(2)
8.3.4 Tactical
260(1)
8.4 Applications
261(21)
8.4.1 Estimating spill risk and impact: an application in the Gulf of Mexico
262(9)
8.4.2 Response analysis: the tactical analysis and coordination for oil spill suite
271(11)
8.5 Future work and knowledge gaps
282(1)
8.6 Acknowledgment and disclaimer
283(1)
References
284(5)
9 Decision support tools for managing marine hydrocarbon spills in island environments
289(68)
Jose Ramon Bergueiro Lopez
Jose Manuel Calvilla Quintero
Kevin Soler Carracedo
Eloy Calvilla Quintero
George Zodiatis
9.1 Why marine hydrocarbon spills are a problem?
289(3)
9.1.1 SONIA model
292(1)
9.1.2 SIROCO model
292(1)
9.2 Response times
292(2)
9.3 Spreading of spilled oil
294(1)
9.4 Evaporation of crude oil and derivatives
295(1)
9.5 Containment by barriers, fences, and interceptors
295(7)
9.5.1 Floating barriers/booms: elements, efficiency
296(1)
9.5.2 Bubble barriers
297(1)
9.5.3 Adsorbent barriers
298(1)
9.5.4 Net barrier
298(1)
9.5.5 Chemical barriers
298(1)
9.5.6 Example configurations of containment barriers/booms
299(3)
9.6 Recovery by skimmers
302(5)
9.6.1 SIRA (Skimmer effectiveness model) model
306(1)
9.7 Treatment of hydrocarbons with adsorbent materials
307(3)
9.7.1 Adsorption and absorption
307(1)
9.7.2 Characteristics of the adsorbents
307(1)
9.7.3 Adsorbent materials
308(1)
9.7.4 Spraying of adsorbents on a spill
309(1)
9.8 Treatment of crude oil by dispersants
310(9)
9.8.1 Types of dispersants
311(1)
9.8.2 Efficiency of dispersants
311(1)
9.8.3 Dispersant application methods
312(2)
9.8.4 Selection of a good dispersant
314(3)
9.8.5 Limitations of dispersant application
317(2)
9.9 Elimination of crude oil by bacterial degradation
319(6)
9.10 Filmogens
325(2)
9.11 Incineration of spills
327(4)
9.12 Tarred balls
331(1)
9.13 Toxicity of crude oil, dispersants, and of the mixture
332(5)
9.13.1 Danger zones
333(1)
9.13.2 Standardized analysis methods
334(1)
9.13.3 Assessing of toxicity using the EVA (Hydrocarbon Evaporation Rate model) model
334(2)
9.13.4 Innovative ecofriendly biosolvents for combating oil pollution
336(1)
9.14 Slick trajectory models and their operational applications
337(4)
9.14.1 The OILMAP model
339(1)
9.14.2 Trajectory and weathering
339(1)
9.14.3 Stochastic model
340(1)
9.14.4 Subsurface transport model
340(1)
9.14.5 TESEO model
340(1)
9.15 GNOME model
341(9)
9.15.1 Simulation of drift
341(3)
9.15.2 Simulation results---TESEO
344(3)
9.15.3 Simulation results---GNOME
347(1)
9.15.4 Model simulations---concluding remarks
348(2)
9.16 Integrated management of coastal areas after a spill
350(2)
References
352(2)
Further reading
354(3)
Index 357
Dr. Oleg Makarynskyy has over 25 years experience and extensive skills in the fields of ocean and coastal program development and project management, numerical modelling, data analysis, as well as quantitative project risk assessments. Over the years, Oleg collaborated with and led research and industry project teams in Australia, USA, Asia and Europe. His particular interests currently are in risk assessments, including risks of hydrocarbon spills, and in developing integral approaches and programs for open-ocean and coastal hydrocarbon spill assessment studies.