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Relevant bibliographies by topics / Oil spills Antarctica Computer simulation

Academic literature on the topic 'Oil spills Antarctica Computer simulation'

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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Journal articles on the topic "Oil spills Antarctica Computer simulation"

1

Wotherspoon, P. D., and J. J. Swiss. "Oil in Ice Computer Simulation Model." Water Science and Technology 18, no. 2 (February 1, 1986): 41–46. http://dx.doi.org/10.2166/wst.1986.0014.

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A computer simulation program which depicts the behaviour and distribution of oil spilled in or under sea ice has been developed. The program combines mathematical models developed in previous studies to describe the motion of oil in/under landfast, first-year and multi-year ice. By inputting or estimating such key parameters as oil type, spill type, spill duration, flow rate, ice type, relative under ice current speed and direction, under ice roughness and distinct ice features, a time series of “maps” is generated showing the distribution of the spilled oil. At present, the simulation does not include the movement of oil contaminated ice but future development plans include incorporation of the program into a Beaufort Sea ice motion model. The program is a tool which can be used to assist on - scene commanders during spill response and to plan counter-measures for oil spills in/under sea ice.

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2

Jarząbek, Dorota, and Wiesław Juszkiewicz. "Analysis of The Impact of Weather Conditions on the Effectiveness of Oil Spill Recovery Operation in Simulated Conditions (Pisces II)." Annual of Navigation 24, no. 1 (December 1, 2017): 315–26. http://dx.doi.org/10.1515/aon-2017-0023.

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Abstract The ability to use computer simulation to predict the behavior of oil spills at sea enables better use of available personnel and resources to combat such spills. The use of oil collecting equipment properly selected to suit the conditions is essential for the operation to be effective. Therefore, an attempt is made to verify the influence of weather conditions on the efficiency of oil recovery. Three types of spilled crude oil were simulated. A relevant experiment was conducted on a PISCES II oil spill simulator.

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3

Do, Vancuong, and Hongxiang Ren. "Using Poisson Disk Sampling to Render Oil Particles at Sea." Journal of Computing and Information Technology 27, no. 4 (June 30, 2020): 31–46. http://dx.doi.org/10.20532/cit.2019.1004878.

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Fluid simulation is one of the most complex tasks in three-dimensional simulation. Specifically, in the case of oil spills at sea, the oil film constantly interacts and is influenced by the environment, thus making its composition and properties change over time. In this paper, we tackle this problem by using both Lehr's spreading model and Hoult's drifting model to build the oil spill physical model. Unlike previous studies that only applied the Poisson disk algorithm to static and solid objects, we applied it in a three-dimensional space to divide the oil film into fluid particles. The track of oil particles under the influence of waves, wind, and currents is rendered by the Unity3D tool with C# programming language, which vividly and realistically simulates the collision of oil particles on the ocean scene with obstacles such as buoys and small islands. The result of this research can be used to predict oil spill direction, thus providing the solution to respond and minimize the damage caused by oil spills at sea. We also discuss some improvements to our model by using the Marching cube algorithm to render the Metaball model.

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4

Bennett, James F., Walter R. Johnson, and Charles F. Marshall. "Integrated Spill Modeling for Impact Analysis." International Oil Spill Conference Proceedings 2003, no. 1 (April 1, 2003): 943–46. http://dx.doi.org/10.7901/2169-3358-2003-1-943.

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ABSTRACT This paper examines the potential use of computer models to estimate environmental impacts from oil spills. Computer simulation models for oil spills have long been used for risk analysis and have continually improved over the past few decades. Beyond risk analysis, however, these modeling tools could contribute to the estimation of the environmental impacts such as species mortality and shoreline contact. Proposed activities such as offshore oil and gas exploration and development can be analyzed using models that integrate spill-simulation capability with environmental resource and toxicological data. To estimate the potential use and reasonableness of such models for oil-spill impact analysis, the authors have applied a commercially available state-of-the-art spill model using previously unavailable historical winds and currents data and spill events extracted from the oil-spill record for the Outer Continental Shelf (OCS) in the Gulf of Mexico (GOM). This is one of the first efforts to bring together such complete data sets for modeling effects on so broad a geographic and temporal scale. Such information is valuable in determining the reasonableness and appropriateness of model use for impact analysis of future exploration, development, and production activities.

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5

Gundlach, Erich R. "OIL-HOLDING CAPACITIES AND REMOVAL COEFFICIENTS FOR DIFFERENT SHORELINE TYPES TO COMPUTER SIMULATE SPILLS IN COASTAL WATERS." International Oil Spill Conference Proceedings 1987, no. 1 (April 1, 1987): 451–57. http://dx.doi.org/10.7901/2169-3358-1987-1-451.

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ABSTRACT Two components have been developed and integrated into a coastline oil spill simulation model: (1) an oil holding capacity for different shoreline types to represent the amount of oil that can be brought onto the shoreline, and (2) a removal coefficient to reflect the amount of oil that can be removed from a beach during a rising tide. The oil holding capacity changes with oil viscosity. The combination of these two factors, delineated for seven shoreline types and tied to chemical weathering and surf zone transport submodels, enables the basic prediction of oil motion and persistence within most marine environments.

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6

Morita, Ichiro, Akio Sasagawa, Kenji Oka, and Garrey Maxwell. "MARINE ENVIRONMENTAL GEOGRAPHIC INFORMATION SYSTEM (MEGIS) DEVELOPMENT FOR JAPAN." International Oil Spill Conference Proceedings 1997, no. 1 (April 1, 1997): 485–91. http://dx.doi.org/10.7901/2169-3358-1997-1-485.

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ABSTRACT A response management system for accidents, such as oil well blowouts and oil spills at sea, is being developed by the Safety and Environment Center for Petroleum Development (SEC) under the supervision of the Ministry of International Trade and Industry (MITI) of Japan. The 5-year program, which is designed to minimize environmental damage in the event of an oil spill, commenced in 1992. The system, known as the Marine Environmental Geographic Information System (MEGIS), consists of five subsystems: (1) detection and monitoring, (2) oil and pollution spill trajectory prediction by computer simulation, (3) contingency planning for response and cleanup operations, (4) a communication and information network of all responsible agencies and participants, and (5) a geographic information system.

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7

Bennett, James F., Bruce E. Peacock, and Timothy R. Goodspeed. "COMPUTER MODELS FOR DAMAGE ASSESSMENT: ESTIMATES OF USE AND RESULTS1." International Oil Spill Conference Proceedings 1995, no. 1 (February 1, 1995): 339–44. http://dx.doi.org/10.7901/2169-3358-1995-1-339.

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ABSTRACT Through the process of natural resource damage assessment (NRDA), certain public agencies have the authority to recover monetary damages from parties responsible for injury to natural resources from a discharge of oil or a release of a hazardous substance. Computer simulation models have been developed as simplified procedures for these natural resource trustees to use in calculating damages without undertaking extensive field studies. The revised Natural Resource Damage Assessment Model for Coastal and Marine Environments (NRDAM/CME) and the Natural Resource Damage Assessment Model for the Great Lakes Environments (NRDAM/GLE) are being developed to serve an expanding user community of public natural resource trustees. These tools may enable natural resource managers to expedite settlements and execute environmental restoration. To estimate the potential use of the NRDA models for oil spills, the authors have developed a set of candidate spill occurrences based on the historical record. Representing an estimated 337 applicable spill events in the subject year, 121 model runs generated damage figures ranging from zero to more than half a million dollars.

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8

He, Fei, Qiuying Lai, Jie Ma, Geng Wei, and Weixin Li. "Numerical Simulations of Sudden Oil Spills in Typical Cross-Border Rivers in the Yangtze River Delta Region." Applied Sciences 12, no. 24 (December 19, 2022): 13029. http://dx.doi.org/10.3390/app122413029.

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The Taipu River is an important cross-border river in the Yangtze River Delta region and a direct channel connecting Taihu Lake and Huangpu River. Along the main stream of the Taipu River are many sources of water, such as the Wujiang, Dingzha, and Liantang Rivers. Many boats traverse these rivers transporting a wide variety of goods, including large quantities of oil, chemicals, and other dangerous goods. In the event of accidents on these vessels, spilled cargo will directly threaten the drinking water safety of people in the region. Aiming at simulating and assessing the environmental risks of sudden oil spills in rivers in the Yangtze River Delta region, this paper established a two-dimensional oil spill model of the typical transboundary Taipu River based on the MIKE21 water environment numerical simulation software developed by the Danish Institute of Water Conservancy. The established model will improve emergency response and treatment plans as well as our understanding of river oil spill progressions.

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9

Sarhadizadeh, Ehsan, and Kourosh Hejazi. "Corrigendum to “Eulerian Oil Spills Model Using Finite-Volume Method with Moving Boundary and Wet-Dry Fronts”." Modelling and Simulation in Engineering 2021 (January 23, 2021): 1. http://dx.doi.org/10.1155/2021/6418926.

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Ullah, Sami, Hanita Daud, Nooraini Zainuddin, Sarat C Dass, Alamgir Khalil, Hadi Fanaee-T, and Ilyas Khan. "Space-time Cluster Analysis of Accidental Oil Spills in Rivers State, Nigeria, 2011-2019." Computers, Materials & Continua 66, no. 3 (2021): 3065–74. http://dx.doi.org/10.32604/cmc.2021.012624.

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Books on the topic "Oil spills Antarctica Computer simulation"

1

Adkison, Milo Douglas. Evaluation of Alaska harbor seal (Phoca vitulina) population surveys: A simulation study. [Anchorage, Alaska: Exxon Valdez Oil Spill Trustee Council, 2001.

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2

French, Deborah P. Final report: Preassessment NRDA analysis : preliminary modeling of the fates and effects of oil released from the M/V New Carissa oil spill in February-March 1999. Narragansett, RI: Applied Science Associates, 1999.

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3

Mark, Reed, United States. Minerals Management Service. Alaska OCS Region., Applied Science Associates (Narragansett, R.I.), and Hubbs Marine Research Institute, eds. Computer simulation of the probability that endangered whales will interact with oil spills. Narragansett, R.I: Applied Science Associates, 1987.

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Conference papers on the topic "Oil spills Antarctica Computer simulation"

1

Nakai, T., Y. Uraguchi, T. Arima, S. Harada, and M. A. Rahim. "Trial Application of FE Simulation on Ships Collision Within the Risk Assessment on Oil Spills From Oil Tankers." In International Conference on Computer Applications in Shipbuilding. RINA, 2007. http://dx.doi.org/10.3940/rina.iccas.2007.64.

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