By Yonggang Liu, Amy MacFadyen, Zhen-Gang Ji, Robert H. Weisberg
ISBN-10: 0875904858
ISBN-13: 9780875904856
ISBN-10: 1118666755
ISBN-13: 9781118666753
Published by means of the yankee Geophysical Union as a part of the Geophysical Monograph Series.
Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise provides an outline of a few of the numerous paintings that was once carried out in instant reaction to the oil spill within the Gulf of Mexico in 2010. It comprises experiences of in situ and remotely sensed observations and laboratory and numerical version experiences at the 4-dimensional oceanographic stipulations within the gulf and their impression at the distribution and destiny of the discharged oil. Highlights of the ebook contain discussions of the next: quick responses to the Deepwater Horizon oil spill utilizing built-in Ocean looking at approach assets; tracking the skin and subsurface oil utilizing satellites, plane, vessels, and AUVs; mapping the oceanographic stipulations utilizing satellites, plane, vessels, drifters, and moorings; modeling the spreading of floor oil trajectories and the three-d dispersal of subsurface hydrocarbon plumes; oil spill danger analyses and statistical reviews at the destiny of the oil; and laboratory research of ocean stratification concerning subsurface plumes. This ebook can be of worth to scientists attracted to the Deepwater Horizon oil spill, the Gulf of Mexico, and the opportunity of conveyance of oil spilled within the Gulf of Mexico to the North Atlantic. A extra technical viewers may perhaps comprise these attracted to oil spill detection, trajectory version forecasting, and danger analyses and people with an curiosity in utilized oceanography, together with scientists, engineers, environmentalists, ordinary and dwelling marine source managers and scholars inside of educational associations, corporations, and industries who're concerned with the Gulf of Mexico and different areas with offshore oil and fuel exploration and production.Content:
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Additional resources for Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise
Example text
RST, in fact, identifies only significant changes, in space-time domain, and may be profitably used for automatic detection of unknown (neither in time nor in space) events. Also in this new configuration, for all the analyzed images, RST has detected oil spill presence with a reliability of 100% over the whole scene. This is demonstrated by the good correspondence of the identified areas with the information regarding the event (Figure 1, provided by NOAA). The main details about achieved results are summarized in Table 2.
The 23 June flight was timed to collect data over the eastern Louisiana marshes near low tide to observe the extent of oil-affected vegetation. Our analyses of the UAVSAR data set collected in June 2010 focuses on oil in the open water of the Gulf near the DWH rig site and within coastal marshes of southern Louisiana that had experienced spatially extensive shoreline oil impacts prior to the UAVSAR collections and in which oil from the DWH spill was known to be present at the time of the UAVSAR overflight.
Jones, and B. Holt, Polarimetric analysis of backscatter from the Deepwater Horizon oil spill using l-band radar, submitted to IEEE Transactions on Geoscience and Remote Sensing, 2011), referred to herein as our previous analysis. As validation data, we use ground observations in Barataria Bay, Louisiana, collected on 23 June 2010 in support of the UAVSAR flights (Bruce A. Davis, private communication, 2010), photos and visual observations from NOAA and Environmental Protection Agency (EPA) overflights of the spill, NOAA oil trajectory and Shoreline Cleanup Assessment Technique maps, and optical imagery from the Galileo Group, Inc.
Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise by Yonggang Liu, Amy MacFadyen, Zhen-Gang Ji, Robert H. Weisberg
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