Auswahl der wissenschaftlichen Literatur zum Thema „Oil spill dispersion“
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Zeitschriftenartikel zum Thema "Oil spill dispersion"
Lunel, T. „THE BRAER SPILL: OIL FATE GOVERNED BY DISPERSION“. International Oil Spill Conference Proceedings 1995, Nr. 1 (01.02.1995): 955–56. http://dx.doi.org/10.7901/2169-3358-1995-1-955.
Der volle Inhalt der QuelleCong, Jing. „Mathematical Modeling of Oil Spill Dispersion in Marine Waters“. Scientific and Social Research 4, Nr. 5 (30.05.2022): 1–6. http://dx.doi.org/10.26689/ssr.v4i5.3663.
Der volle Inhalt der QuelleNa, Byoungjoon, Sangyoung Son und Jae-Cheon Choi. „Modeling of Accidental Oil Spills at Different Phases of LNG Terminal Construction“. Journal of Marine Science and Engineering 9, Nr. 4 (07.04.2021): 392. http://dx.doi.org/10.3390/jmse9040392.
Der volle Inhalt der QuelleFingas, Merv. „OIL SPILL DISPERSION STABILITY AND OIL RE-SURFACING“. International Oil Spill Conference Proceedings 2008, Nr. 1 (01.05.2008): 661–65. http://dx.doi.org/10.7901/2169-3358-2008-1-661.
Der volle Inhalt der QuelleAzzahrawaani, A., M. T. Hartanto, Y. Naulita und Apriansyah. „Simulated circulation and particle trajectory analysis related to the oil spill event in the Karawang Coastal Waters“. IOP Conference Series: Earth and Environmental Science 1137, Nr. 1 (01.01.2023): 012012. http://dx.doi.org/10.1088/1755-1315/1137/1/012012.
Der volle Inhalt der QuelleBuist, I. A., und S. L. Ross. „EMULSION INHIBITORS: A NEW CONCEPT IN OIL SPILL TREATMENT“. International Oil Spill Conference Proceedings 1987, Nr. 1 (01.04.1987): 217–22. http://dx.doi.org/10.7901/2169-3358-1987-1-217.
Der volle Inhalt der QuelleKvočka, Davor, Dušan Žagar und Primož Banovec. „A Review of River Oil Spill Modeling“. Water 13, Nr. 12 (08.06.2021): 1620. http://dx.doi.org/10.3390/w13121620.
Der volle Inhalt der QuelleShen, Wei, Zhi Xia Wang, Rong Chang Chen und Chun Ling Liu. „Properties, Preparation and Application of Oil Spill Dispersant“. Advanced Materials Research 955-959 (Juni 2014): 140–43. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.140.
Der volle Inhalt der QuelleKang, Chenyang, Haining Yang, Guyi Yu, Jian Deng und Yaqing Shu. „Simulation of Oil Spills in Inland Rivers“. Journal of Marine Science and Engineering 11, Nr. 7 (26.06.2023): 1294. http://dx.doi.org/10.3390/jmse11071294.
Der volle Inhalt der QuelleQian, Guo Dong, und Ming Li. „A Review of Research and Practice on the Application of Chemical Dispersant in Oil Spills“. Advanced Materials Research 955-959 (Juni 2014): 189–94. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.189.
Der volle Inhalt der QuelleDissertationen zum Thema "Oil spill dispersion"
Zhuang, Mobing. „Effects of Chemical Dispersion on Biodegradation of Petroleum“. University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1470757578.
Der volle Inhalt der QuelleZanier, Giulia. „High Resolution Model to Predict Oil Spill Dispersion in Harbour and Coastal Areas“. Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11124.
Der volle Inhalt der QuelleMostriamo un modello allo stato dell’arte, che considera i principali processi fisici che governano il greggio in mare nelle prime ore dopo il rilascio, (Zanier, et al., 2014). Le particelle e i tar sono trattati come particelle lagrangiane, ognuna con la propria densità e il proprio diametro; consideriamo le forze principali che agiscono su di esse ossia: galleggiamento, trascinamento e la forza di Coriolis. Il greggio in forma di film sottile è modellato tramite le equazioni proposte da Nihoul (Nihoul 1983/84). Il modello originale di Nihoul considera le forze principali (ossia gravità, stress indotto da vento e correnti marine) che agiscono sulla macchia e governano il suo trasporto e diffusione, sulla superficie del mare, nelle prime 24 ore dopo il rilascio. Il nostro miglioramento al modello consiste nell’introduzione della forza di Coriolis evitando di utilizzare formulazioni empiriche (Zanier, et al., 2015). Infine i principali processi di weathering che agiscono sulla macchia nelle prime 12-24 ore dopo il rilascio (ossia emulsificazione ed evaporazione) sono considerate in accordo con i modelli presenti in letteratura (Mackay, Peterson, et al., 1980 e Mackay, Buist, et al., 1980, rispettivamente). Per preservare un’accuratezza del secondo ordine del metodo numerico, i termini convettivi, nel modello Euleriano, sono discretizzati usando SMART uno schema numerico upwind del terzo ordine (Gaskell and Lau 1988). Il modello è validato con dei casi test standard. Le correnti marine sono risolte con il modello LES-COAST (IEFLUIDS Università di Trieste), un modello numerico ad alta definizione, adatto per simulare flussi in aree costiere e portuali. Il modello LES-COAST risolve la forma filtrata delle equazioni di Navier-Stokes tridimensionali e non-idrostatiche, assumendo che valga l’approssimazione di Boussinesq; e l’equazione di trasporto degli scalari, salinità e temperatura. Il modello usa l’approccio della large eddy simulation per parametrizzare la turbolenza, le variabili sono filtrate con una funzione filtro, rappresentante la grandezza delle celle. I flussi di sottogriglia (SGS), che appaiono dopo l’operazione di filtraggio delle equazioni, sono parametrizzati con un modello di Smagorinsky anisotropo con due eddy viscosity, per adattare il modello a simulare flussi costieri dove le lunghezze scala orizzontali sono molto più grandi di quelle verticali (Roman et al., 2010 ). Le diffusività di sotto griglia della temperatura e salinità, cioè i numeri di Prandtl e Schmidt, sono imposti come $Pr_{sgs}=Sc_{sgs}=0.8$, assumendo che l’analogia di Reynolds sia valida per entrambi gli scalari. La complessità geometrica che caratterizza le aree costiere, è trattata con una combinazione di griglie curvilinee e il metodo dei contorni immersi (IBM) (Roman, Napoli, et al., 2009). L’azione del vento sulla superficie libera del mare è imposta tramite una formula proposta da Wu (Wu, 1982), nella quale lo stress del vento sul mare è calcolato dalla velocità del vento a 10 m sopra il livello del mare. Allo stress aggiungiamo una varianza del 20% per agevolare la generazione di turbolenza e per tener conto che l’azione del vento non è costante nel tempo e nello spazio. Inoltre vicino agli ostacoli, come moli, navi e frangiflutti, lo stress del vento è ridotto linearmente, per considerare la riduzione del vento che si ha nelle zone di ricircolo. Sui contorni aperti le velocità e le quantità scalari sono ottenute innestando il modello LES-COAST con modelli di larga scala (Petronio, et al., 2013) oppure sono impostati secondo dati rilevati. Vicino ai bordi solidi le velocità sono modellate tramite funzioni parete (Roman, Armenio, et al., 2009). Il modello di rilascio di petrolio e il modello idrodinamico sono stati applicati assieme per simulare degli ipotetici scenari di trasporto e diffusione del greggio in mare nel porto di Barcellona (Mar Mediterraneo Nord-Ovest, Spagna, Galea, et al. 2014) e nella baia di Panzano (Mar Adriatico, Nord, Italia).
We present a novel, state of the art model, which accounts for the relevant short-term physical processes governing oil spill at sea, (Zanier, et al., 2014). Particles and tars are modelled as Lagrangian phase having its own density and diameter; taking into account the main forces acting on them, namely: buoyancy, drag and Coriolis forces. Oil transported in form of thin-film is treated by means of an improved Nihoul’s model (Nihoul 1983/84). The latter considers the main forces (gravity, wind and sea currents stresses) governing oil slick spreading and transport in the first hours after spilling, up to 24h for large spill. Our main improvement to the classical model consists in the introduction of Coriolis effect, avoiding using empirical formulations (Zanier, et al., 2015). Finally the relevant short-term (12-24 hours) weathering processes (mainly emulsification and evaporation) are taken into account through established literature models (Mackay, Peterson, et al., 1980 and Mackay, Buist, et al., 1980, respectively). To preserve second-order accuracy of the overall numerical method, convective terms, in the Eulerian model, are discretized using SMART a third order accurate upwind numerical scheme (Gaskell and Lau 1988). We validate the model on standard test cases. The underground hydrodynamics is resolved using LES-COAST (IEFLUIDS University of Trieste), a high definition numerical model suited for coastal or harbour areas. LES-COAST model solves the filtered form of three dimensional, non-hydrostatic Navier-Stokes equations under Boussinesq approximation and the transport equation for salinity and temperature. It makes use of Large Eddy Simulation approach to parametrize turbulence, the variables are filtered by way of a top-hat filter function represented by the size of the cells. The subgrid-scale fluxes (SGS), which appear after filtering operations, are parametrized by a two-eddy viscosity anisotropic Smagorinsky model, to better adapt to coastal flow in which horizontal length scale is larger than vertical one (Roman et al., 2010). The subgrid-scale eddy diffusivities of temperature and salinity, Prandtl and Schmidt numbers, are set $Pr_{sgs}=Sc_{sgs}=0.8$, by assuming that Reynolds analogy holds also for both scalars. Complex geometry that characterizes coastal flow is treated by a combination of curvilinear grid and Immersed Boundary Method (IBM) (Roman, Napoli, et al., 2009). Wind action on the free surface is taken into account by means of the formula proposed by Wu (Wu, 1982), in which the wind stress on the sea surface is computed from the wind velocities at 10 m above the surface. A 20% of variance is added to the stress to ease the generation of turbulence and to take into account of wind stress variations in time and space. Moreover near obstacles such as docks, ships and breakwaters, the wind stress is linearly reduced considering the relevant reduction of stress in recirculation regions. On the open boundaries the velocities and scalars quantities are obtained by nesting LES-COAST within Large Circulation Models (Petronio, et al., 2013) or are imposed from in-situ measurements. Near the wall velocities are modelled using wall functions (Roman, Armenio, et al., 2009). We apply the coupled oil spill model and hydrodynamical one to simulate hypothetical oil spill events in real case scenarios in Barcelona harbour (North-west Mediterranean Sea, Spain, Galea, et al. 2014) and in Panzano bay (North Adriatic Sea, Italy).
XXVII Ciclo
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Fifani, Gina. „Lagrangian dispersion and oil spills : with a case study in the Eastern Mediterranean“. Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS243.
Der volle Inhalt der QuelleDue to their dire impacts on marine life, public health, and services, accidental oil spills require an immediate response. Effective action starts with a good knowledge of the ocean dynamics prevailing in the contaminated region. The Lagrangian approach has been proposed as a supportive tool in marine pollution management. The goal of this thesis is to use and develop Lagrangian tools to analyze two oil spill events extending on a scale smaller than that of the DeepWater Horizon oil spill. These are an offshore East China sea oil spill (2018) and a near-coast East Mediterranean accident (2021). The calculation of Lagrangian fronts have been more robust and more informative on the dispersion pathways than the direct advection of a numerical tracer. The inclusion of the wind effect is also found to be essential, being capable of suddenly breaking Lagrangian fronts. A new technique is also proposed, rooted in the Lyapunov theory, by which the drifting speed of a Lagrangian front can be estimated based on near real-time information alone. This information allows to predict the Lagrangian front future location over a few days and to study frontal drifting speeds at global and Mediterranean scales. A further contribution to a Lagrangian experiment in the Mediterranean highlights the Lagrangian shortcoming of nadir altimetry and the need for future altimetry missions like SWOT
Zacharias, Daniel Constantino. „Desenvolvimento do STFM (Spill, Transport and Fate Model): Modelo computacional lagrangeano de transporte e degradação de manchas de óleo“. Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-08052018-192547/.
Der volle Inhalt der QuelleOil and its by-products spills are an inevitable and undesirable consequence of their production and transportation. Even though these spills are relatively small, some of them are large enough to cause significant environmental impact. Taken this into account, the computational models are important tools to estimate the trajectory, dimensioning and behavior of the oil spilled in the marine environment, being also determinants to elaborate action plans for response teams work. The transportation and fate of oil spills are governed in the short term by physical-chemical transport and transformation processes and in the long term by biological degradation processes, according to local environmental conditions (oceanic and atmospheric). The main processes that act on offshore oil spills include, in the short term, advection, turbulent diffusion, surface scattering, evaporation, dissolution, emulsification, sedimentation and the interaction of oil slick according to the coast line. The Spill, Transport and Fate Model (STFM) was the computational model developed in this work. The algorithms were developed based on physicochemical formulations proposed in literature, being the propositions of several authors tested and the equations which presented the best results were selected to integrate the physical-chemical set that makes up the STFM. The STFM results presented superior performance, giving more stability to the stain, compared to the other models tested in the scattering and diffusion description, by using the Dodge derivation for the Fay spreading proposal and by replacing the usual \"Randon Walk\" method by \"Randon Flight\" (advanced in time) in the canonical form given by Lynch. The STFM algorithm also brings forward another important evolution by including an evaporation model based on Fingas empirical equations, replacing the current parameterizations based on ADIOS2 and pseudo component methods.
Chamberlain, Neil. „Wave-induced mixing within a gravity-driven surface current“. Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325566.
Der volle Inhalt der QuelleBoyé, Donald J. „The effect of weathering processes on the vertical turbulent dispersion characteristics of crude oil spilled on the sea“. FIU Digital Commons, 1994. http://digitalcommons.fiu.edu/etd/1777.
Der volle Inhalt der QuellePlace, Benjamin J. „Analytical method development for the identification, detection, and quantification of emerging environmental contaminants in complex matrices“. Thesis, 2012. http://hdl.handle.net/1957/32606.
Der volle Inhalt der QuelleGraduation date: 2013
Access restricted to the OSU Community at author's request from Aug. 15, 2012 - Aug. 15, 2013
Bücher zum Thema "Oil spill dispersion"
1947-, Lane Peter, Hrsg. The use of chemicals in oil spill response. Philadelphia, PA: ASTM, 1995.
Den vollen Inhalt der Quelle findenBelore, Randall Charles. Mid-scale testing of dispersant effectiveness. Ottawa: S.L. Ross Environmental Research Limited, 1987.
Den vollen Inhalt der Quelle findenDelvigne, G. A. L. Measurement of vertical turbulent dispersion and diffusion of oil droplets and oiled particles: Final report. Redmond, Wash: Engineering Hydraulics, 1987.
Den vollen Inhalt der Quelle findenUsing oil spill dispersants on the sea. Washington, D.C: National Academy Press, 1989.
Den vollen Inhalt der Quelle findenOrganization, International Maritime, und United Nations Environment Programme, Hrsg. IMO/UNEP guidelines on oil spill dispersant application including environmental considerations. 2. Aufl. London: International Maritime Organization, 1995.
Den vollen Inhalt der Quelle findenBelore, Randall Charles. Effectiveness of the repeat application of chemical dispersants on oil. Ottawa: Environmental Studies Revolving Funds, 1985.
Den vollen Inhalt der Quelle findenPetroleum, Institute of, Hrsg. Guidelines on the use of oil spill dispersants. 2. Aufl. Chichester: Wiley on behalf of the Institute of Petroleum, 1986.
Den vollen Inhalt der Quelle findenInstitute of Petroleum (Great Britain), Hrsg. Guidelines on the use of oil spill dispersants. 2. Aufl. Chichester: Wiley on behalf of the Institute of Petroleum, 1987.
Den vollen Inhalt der Quelle findenMichael, Flaherty L., und ASTM Committee F-20 on Hazardous Substances and Oil Spill Response., Hrsg. Oil dispersants: New ecological approaches. Philadelphia, PA: ASTM, 1989.
Den vollen Inhalt der Quelle findenR, Payne James, und Farlow John S, Hrsg. Oil spill dispersants: Mechanisms of action and laboratory tests. Boca Raton, FL: C.K. Smoley, 1993.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Oil spill dispersion"
Fingas, Merv. „A Review of Natural Dispersion Models“. In Handbook of Oil Spill Science and Technology, 485–94. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118989982.ch20.
Der volle Inhalt der QuelleJózsa, J. „Subsurface Shear Dispersion in River Oil Spill Modelling“. In Computational Methods in Water Resources X, 1157–64. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_140.
Der volle Inhalt der QuelleBagnarol, Massimo, Massimo Celio, Stefania Del Frate,, Dario Giaiotti, Simone Martini und Michela Mauro. „The ARPA FVG support to oil spill emergency response in the gulf of Trieste“. In Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”, 365–77. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0030-1.33.
Der volle Inhalt der QuellePugliese Carratelli, Eugenio, Fabio Dentale und Ferdinando Reale. „On the Effects of Wave-Induced Drift and Dispersion in the Deepwater Horizon Oil Spill“. In Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, 197–204. Washington, D. C.: American Geophysical Union, 2011. http://dx.doi.org/10.1029/2011gm001109.
Der volle Inhalt der QuelleZafirakou, Antigoni. „Oil Spill Dispersion Forecasting Models“. In Monitoring of Marine Pollution. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.81764.
Der volle Inhalt der QuelleFingas, Merv. „A Practical Guide to Chemical Dispersion for Oil Spills“. In Oil Spill Science and Technology, 583–610. Elsevier, 2011. http://dx.doi.org/10.1016/b978-1-85617-943-0.10016-4.
Der volle Inhalt der QuellePadinhattath, Sachind Prabha, Baiju Chenthamara, Jitendra Sangwai und Ramesh L. Gardas. „Ionic Liquids in Advanced Oil Dispersion“. In Ionic Liquids for Environmental Issues, 272–92. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781839169625-00272.
Der volle Inhalt der QuelleRai, Premanjali. „Role of Nanocomposites in Environmental Remediation: Recent Advances and Challenges“. In Advanced Materials and Nano Systems: Theory and Experiment (Part-1), 92–107. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815050745122010008.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Oil spill dispersion"
Betancourt Quiroga, Fabian Omar, Arturo Palacio Pe´rez, Ann Wellens und Alejandro Rodri´guez Valdes. „Statistical Evaluation of the Area Estimation of an Oil Spill Dispersion Model“. In ASME 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2003. http://dx.doi.org/10.1115/omae2003-37495.
Der volle Inhalt der QuelleBetancourt Quiroga, Fabian Omar, Arturo Palacio Pe´rez und Alejandro Rodri´guez Valdes. „Mass Loss Evaluation in Oil Spill“. In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28168.
Der volle Inhalt der QuelleBai, Yong, und Zatil Akmal Zukifli. „Environmental Impact Assessment for Offshore Pipelines“. In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83100.
Der volle Inhalt der QuelleBrekke, Camilla, Stine Skrunes und Martine M. Espeseth. „Oil spill dispersion in full-polarimetric and hybrid-polarity SAR“. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127128.
Der volle Inhalt der QuelleBrandvik, Per Johan, Emlyn Davies, Daniel F. Krause, Pierre A. Beynet, Madhusuden Agrawal und Peter Evans. „Subsea Mechanical Dispersion, Adding to the Toolkit of Oil Spill Response Technology“. In SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/179331-ms.
Der volle Inhalt der QuelleRyan, Victoria, Hemant Thurumella, Nick D’Arcy-Evans, Nick Boustead, Eric Jal, Andrew Kilner und Craig Dillon-Gibbons. „Utilizing Computational Fluid Dynamics to Estimate Drift Extent-from Aerial Spraying of Dispersants“. In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31826-ms.
Der volle Inhalt der QuelleRyan, Victoria, Hemant Thurumella, Nick D’Arcy-Evans, Nick Boustead, Eric Jal, Andrew Kilner und Craig Dillon-Gibbons. „Utilizing Computational Fluid Dynamics to Estimate Drift Extent-from Aerial Spraying of Dispersants“. In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31826-ms.
Der volle Inhalt der QuelleTzali, M., S. Sofianos, G. Kallos, A. Mantziafou, A. Zafeirakou, V. Dermisis, Ch Koutitas, V. Zervakis, Angelos Angelopoulos und Takis Fildisis. „Oil Spill Dispersion Forecasting System for the Region of Installation of the Burgas Alexandroulopis Pipeline Outlet(N.E. Aegean) in the Framework of “DIAVLOS” Project“. In ORGANIZED BY THE HELLENIC PHYSICAL SOCIETY WITH THE COOPERATION OF THE PHYSICS DEPARTMENTS OF GREEK UNIVERSITIES: 7th International Conference of the Balkan Physical Union. AIP, 2010. http://dx.doi.org/10.1063/1.3322304.
Der volle Inhalt der QuelleWinanto, Winanto, Mukhtarus Bahroinuddin, Endro Cahyono und Margaretha Thaliharjanti. „A Dynamic Simulation Assessment for Relocating Flare System into Separated Platform Utilizing Idle Subsea Main Oil line“. In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205741-ms.
Der volle Inhalt der QuelleFeng, Wenxing, Xiaoqiang Xiang, Guangming Jia, Lianshuang Dai, Yulei Gu, Xiaozheng Yang, Qingshang Feng und Lijian Zhou. „Applying the Quantitative Risk Assessment (QRA) to Improve Safety Management of Oil and Gas Pipeline Stations in China“. In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90130.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Oil spill dispersion"
Evans, D., G. Mulholland, D. Gross, H. Baum, W. Walton und K. Saito. Burning, smoke production, and smoke dispersion from oil spill combustion. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4091.
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