Numerical Simulation of Oil Spill in the Gulf of Mexico Based on the GNOME and ADIOS

2013 ◽  
Vol 295-298 ◽  
pp. 1535-1542 ◽  
Author(s):  
Yi Yang ◽  
Zhi Li Chen ◽  
Ying Li ◽  
Xiao Xiao ◽  
Qi Dan ◽  
...  

This paper analyzes the mechanism of the GNOME and ADIOS models. On this basis, GNOME and ADIOS model are applied to the simulation of the oil drift and the weathering process of the early oil spill in the Gulf of Mexico respectively by correctly adding the Gulf of geographical information and environmental information. The simulated oil spill trajectories agree well with remote sensing monitoring results and the simulation results of ADIOS are in line with the oil spill weathering study conclusions. This paper also analyzes the reasons of simulation mistakes and the shortcomings of the model itself so as to figure out the direction for the future study.

2013 ◽  
Vol 423-426 ◽  
pp. 1394-1397
Author(s):  
Ming Chang Li ◽  
Guang Yu Zhang ◽  
Qi Si ◽  
Shu Xiu Liang ◽  
Zhao Chen Sun

Based on the hydrodynamic model and wind field data, a multi-module coupled oil spill model is constructed for simulating the trajectory of oil movement. A case study is researched in Bohai Bay. The model works well and the numerical simulation results show the model is suitable for oil spill trajectory simulation. Two cases are considered with and without wind to show its important influence for the oil spill.


2017 ◽  
Vol 2017 (1) ◽  
pp. 1594-1611
Author(s):  
Guilherme Pinho ◽  
Alessandro Vagata ◽  
Theo Hengstermann

ABSTRACT Aerial surveillance is becoming a foundation on the overall oil spill response strategy due to the ability to plan and tactically position response resources in the optimal areas of oil migration. It takes a complete multitasking approach to effectively respond to oil spills. While much of the regulatory focus to date has been on the resources on the sea - vessels, skimmers, dispersants - the reality is that they are only one of the components and not necessarily the most important in combating oil spills. It is imperative to determine the location of oil that is most recoverable, and give quantitative information - thickness, volume, area, classification - whether day or night. Having the right information at the right time optimizes dramatically the use of all the response resources. And assess the effectiveness of the response and make an accurate natural resources damage assessment is critical and requires as well quantitative and timely information. In the past the main effort has been directed towards developing airborne sensors with enhanced spill monitoring capability. Recently, more and more attention has been paid to the automated processing of oil spill data acquired by integrated airborne sensor platforms. Automated processing and real time relay of immediately usable information to the Incident Command Center is critical during all phases of response. This paper focuses on advanced data processing and presents ways of improving the usability of airborne multi-sensor oil spill monitoring systems. In this context, is given an overview of currently existing oil spill remote sensing technology like infrared/ultraviolet line scanners, microwave radiometers, laser fluorosensors and radar system. The paper presents POSEIDON, a system for network-based real-time data acquisition, analysis and fusion of multi-sensor data. Also, a method for the distribution of oil spill data and related data products using web-based geographical information systems is described; automated generation of thematic maps of the oil spill scene along with their real-time web-based distribution is becoming more important in marine incident management.


1997 ◽  
Vol 1997 (1) ◽  
pp. 25-31
Author(s):  
Bill Lehr ◽  
Debra Simecek-Beatty ◽  
Debbie Payton ◽  
Jerry Galt ◽  
Glen Watabayashi ◽  
...  

ABSTRACT The oil spill trajectory prediction for the barge Buffalo 292 spill was provided by NOAA and TGLO. The bulk of the 5000 barrels of IFO 380 that was leaked moved rapidly through the Galveston Channel entrance and into the Gulf of Mexico as a result of a strong meteorological event. Because of the nature of the product, it was possible to track the resulting slicks for more than 3 weeks. Initially, the oil trailed east away from shore. Changing winds and currents moved the oil south and west, leading to sporadic impacts along the shore from east of Galveston to south of Corpus Christi. Trajectory forecasts were used to alert response personnel of impending beach impacts and to direct offshore skimming operations. Real-time current and wind meters, oil-tracking drifters, visual overflights, and remote-sensing observations provided an unusual amount of calibrating data for trajectory forecasting. This fact, along with detailed analysis assisted by computer models, allowed for a surprisingly high degree of accuracy in trajectory prediction in spite of complex current and wind patterns and changing wind drift factors for the product as it weathered. In this paper, these favorable results are compared with results of an earlier spill in the region where fewer resources were available for trajectory analysis.


2013 ◽  
Vol 838-841 ◽  
pp. 1861-1864 ◽  
Author(s):  
Ming Chang Li ◽  
Guang Yu Zhang ◽  
Qi Si ◽  
Shu Xiu Liang ◽  
Zhao Chen Sun

In this paper, a multi-module coupled oil spill model is applied for simulating the influence scope of oil with the hydrodynamic current field data and wind field data. A case study is researched in this paper. The model works well and the numerical simulation results show the model is suitable for oil spill influence scope simulation.


2006 ◽  
Vol 65 (16) ◽  
pp. 1533-1546
Author(s):  
Yu. Ye. Gordienko ◽  
S. A. Zuev ◽  
V. V. Starostenko ◽  
V. Yu. Tereshchenko ◽  
A. A. Shadrin

Sign in / Sign up

Export Citation Format

Share Document