Adios 2 Oil Spill Download

The ADIOS Oil Database is designed to support oil spill response and oil spill preparedness operations through a compilation of publicly available oil assays (combinations of physical and chemical data that uniquely describe or characterize a crude oil).

The goal of the Database is to provide the oil spill response community with the data and information about a wide variety of petroleum products needed to respond to spills, and plan for such responses. These data can be used as is, or as input to oil spill models, such as the GNOME suite.

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ADIOS (Automated Data Inquiry for Oil Spills) is NOAA's oil weathering model. It's an oil spill response tool that models how different types of oil weather (undergo physical and chemical changes) in the marine environment. Working from a database of more than a thousand different crude oils and refined products, ADIOS quickly estimates the expected characteristics and behavior of spilled oil.

ADIOS asks for information on the spill itself, environmental conditions, and the planned cleanup strategy. The program provides you with a best-guess answer and was designed to run on as little information as possible, especially the type of information that can be estimated quickly or obtained in the field. This could be wind speed(s), wave heights, water temperature, and water salinity; the type and amount of oil or product spilled; and the rate and duration of the release.

We use the gnome.scripting.surface_point_line_spill() helper function to initialize a spill along a line that occurs over one day.The oil type is specified using the sample oil file provided above with a spill volume of 5000 barrels.The windage range is changed from the default to 1-2% with an infinite persistence (elements keep the same windage value for all time).The helper function creates both the Release and the Substance objects and uses them to create a Spill object.

For initialization of a subsurface plume, we can use the gnome.scripting.subsurface_plume_spill() helper function.Required parameters in this case also include a specification of the droplet size distribution or of the rise velocities.The gnome.utilities.distributions module includes methods forspecifying different types of distributions.In this case we specify a uniform distribution of droplets ranging from 10-300 microns:

The Automated Data Inquiry for Oil Spills (ADIOS2) software is an oil weathering model provided by NOAA that incorporates a database containing more than a thousand crude oils and refined products, and provides quick estimates of the expected characteristics and behavior of oil spilled into the marine environment. The predictions it makes, presented as both graphics and text, are designed to help answer questions that typically arise during spill response and cleanup.[1]

One user describes the program as follows: "You just key in all the details of the parameters of the spill, from the type of oil to wave conditions, winds, sea temperatures, what have you, and the software tells you the fate of the oil over an extended period."[2]

Abstract:Several oil spill simulation models exist in the literature, which are used worldwide to simulate the evolution of an oil slick created from marine traffic, petroleum production, or other sources. These models may range from simple parametric calculations to advanced, new-generation, operational, three-dimensional numerical models, coupled to meteorological, hydrodynamic, and wave models, forecasting in high-resolution and with high precision the transport and fate of oil. This study presents a review of the transport and oil weathering processes and their parameterization and critically examines eighteen state-of-the-art oil spill models in terms of their capacity (a) to simulate these processes, (b) to consider oil released from surface or submerged sources, (c) to assimilate real-time field data for model initiation and forcing, and (d) to assess uncertainty in the produced predictions. Based on our review, the most common oil weathering processes involved are spreading, advection, diffusion, evaporation, emulsification, and dispersion. The majority of existing oil spill models do not consider significant physical processes, such as oil dissolution, photo-oxidation, biodegradation, and vertical mixing. Moreover, timely response to oil spills is lacking in the new generation of oil spill models. Further improvements in oil spill modeling should emphasize more comprehensive parametrization of oil dissolution, biodegradation, entrainment, and prediction of oil particles size distribution following wave action and well blow outs.Keywords: oil spill modeling; oil weathering processes; biodegradation; transport and dispersion resurfacing; turbulent mixing

Four oil spill events over the Indian Ocean including Chennai, Sharjah, Al Khiran and Mubarak Village are analyzed using Sentinel-1 satellite data. General National Oceanic and Atmospheric Administration (NOAA) Operational Modeling Environment (GNOME) model is utilized for oil spills trajectory production, whereas oil spills weathering processes are modeled using Automated Data Inquiry for Oil Spill (ADIOS). Synthetic Aperture Radar (SAR) based oil spill detection technique provided reliable results at the wind speed between 3 to 9 m/s for all events. Maximum oil spill movement (33 km) from the source point is observed in the Al Khiran, whereas evaporation rate of crude (degraded) oil is observed as high (low). The Near Real Time (NRT) detection of oil spill using SAR imagery needs high computational power, however, provides better results. This study concludes that SAR based oil spill detection is a cost-effective technique and can be utilized for mapping of oil spills.

The world's most notorious oil tanker will have a new name when she returns to service in August, and she will not be going back to Valdez, Alaska, where her grounding in March 1989 caused the biggest oil spill in U.S. history. Instead, the Exxon Mediterranean, nee Exxon Valdez, will be hauling crude oil from Turkey and Egypt to France and Italy. The tanker will have a new $30 million bottom and a new American crew.

ADIOS2 (Automated Data Inquiry for Oil Spills) is an oil weathering model that incorporates a database containing more than a thousand crude oils and refined products, and provides quick estimates of the expected characteristics and behavior of oil spilled into the marine environment. The predictions it makes, presented as both graphics and text, are designed to help answer questions that typically arise during spill response and cleanup.

ADIOS2 includes new models to estimate the effects of common cleanup techniques such as chemically dispersing, skimming, or burning the oil, and it accounts for environmental processes not included in the previous version, such as sedimentation. It also includes an expanded online help and electronic manual.

The ADIOS2 database includes estimates of the physical properties of oils and products. ADIOS uses this information to predict changes in an oil's properties once it has spilled. The database was compiled from different sources, including Environment Canada, the U.S. Department of Energy, and industry.

ADIOS uses mathematical equations and information from the database to predict changes over time in the density, viscosity, and water content of an oil or product, the rates at which it evaporates from the sea surface and disperses into the water, and the rate at which an oil-in-water emulsion may form. It was designed to make use of as little information as possible, and to use information that can quickly be estimated or obtained in the field, such as wind speed(s), wave heights, water temperature, and salinity or density, the type and amount of oil or product spilled, and the rate and duration of the spill.

Approximately 3 million gallons of oil or refined petroleum products are spilled into U.S. waters every year. Oil dispersants (chemical agents such as surfactants, solvents, and other compounds) are used to reduce the effect of oil spills by changing the chemical and physical properties of the oil. By enhancing the amount of oil that physically mixes into the water, dispersants can reduce the potential that a surface slick will contaminate shoreline habitats. Although called for in the Oil Pollution Act of 1990 as a tool for minimizing the impact of oil spills, the use of chemical dispersants has long been controversial. This book reviews the adequacy of existing information and ongoing research regarding the effectiveness of dispersants as an oil spill response technique, as well as the effect of dispersed oil on marine and coastal ecosystems. Oil Spill Dispersants also includes recommended steps for policy makers faced with making hard choices regarding the use of dispersants as part of spill contingency planning efforts or during actual spills.

Oil pollution, mainly caused by tanker accidents, is a primary concern for marine environmental protection [50]. Oil spills are one of the most significant risks to coastal waters [45]. They will be subjected to various physical, chemical, and biological oil weathering processes that alter their chemical composition, physical properties, and environmental fate [15]. These are the processes of evaporation, emulsification, natural dispersion, dissolution, photooxidation, spreading, sedimentation, interaction with fine particles, and biodegradation [55]. The relative rates of these processes determine the degradation levels of marine waters. The fact that the oil remains at sea or comes ashore also influences its fate. ff782bc1db