气候变化领域集成服务门户(CCPortal): Measuring oil residence time with GPS-drifters; satellites; and Unmanned Aerial Systems (UAS)

CCPortal

DOI	10.1016/j.marpolbul.2019.110644
	Measuring oil residence time with GPS-drifters; satellites; and Unmanned Aerial Systems (UAS)
	Garcia-Pineda O.; Androulidakis Y.; Le Hénaff M.; Kourafalou V.; Hole L.R.; Kang H.; Staples G.; Ramirez E.; DiPinto L.
发表日期	2020
ISSN	0025326X
卷号	150
英文摘要	As oil production worldwide continues to increase, particularly in the Gulf of Mexico, marine oil spill preparedness relies on deeper understanding of surface oil spill transport science. This paper describes experiments carried out on a chronic release of crude oil and aims to understand the residence time of oil slicks using a combination of remote sensing platforms and GPS tracked drifters. From April 2017 to August 2018, we performed multiple synchronized deployments of drogued and un-drogued drifters to monitor the life time (residence time) of the surface oil slicks originated from the MC20 spill site, located close to the Mississippi Delta. The hydrodynamic design of the two types of drifters allowed us to compare their performance differences. We found the un-drogued drifter to be more appropriate to measure the speed of oil transport. Drifter deployments under various wind conditions show that stronger winds lead to reduce the length of the slick, presumably because of an increase in the evaporation rate and entrainment of oil in the water produced by wave action. We have calculated the residence time of oil slicks at MC20 site to be between 4 and 28 h, with average wind amplitude between 3.8 and 8.8 m/s. These results demonstrate an inverse linear relationship between wind strength and residence time of the oil, and the average residence time of the oil from MC20 is 14.9 h. © 2019 Elsevier Ltd
英文关键词	Drifters; Satellite remote sensing; UAS
语种	英语
scopus关键词	Antennas; Global positioning system; Marine pollution; Oil spills; Remote sensing; Unmanned aerial vehicles (UAV); Average residence time; Drifters; GPS-tracked drifter; Hydrodynamic design; Linear relationships; Remote sensing platforms; Satellite remote sensing; Unmanned aerial systems; Petroleum transportation; petroleum; petroleum; aerial survey; drifter; GPS; oil spill; pollutant transport; remote sensing; satellite data; unmanned vehicle; evaporation; global positioning system; hydrodynamics; meteorology; oceanography; oil spill; remote sensing; retention time; satellite imagery; surface area; wind; environmental monitoring; geographic information system; Gulf of Mexico; Mississippi; oil spill; procedures; space flight; water pollutant; Atlantic Ocean; Gulf of Mexico; Environmental Monitoring; Geographic Information Systems; Gulf of Mexico; Mississippi; Petroleum; Petroleum Pollution; Remote Sensing Technology; Spacecraft; Water Pollutants, Chemical; Wind
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149420
作者单位	Water Mapping, LLC, Gulf BreezeFL, United States; Department of Ocean Sciences, University of Miami/RSMAS, Miami, FL, United States; Cooperative Institute for Marine and Atmospheric Studies (CIMAS), UM/RSMAS, MiamiFL, United States; NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Miami, FL, United States; Norwegian Meteorological Institute, Allegt. 70, Bergen, 5007, Norway; MDA Corporation, Vancouver, Canada; Satellite Analysis Branch. NESDIS, NOAA, GreenbeltMD, United States; Office of Response and Restoration, NOAA's Ocean Service, Seattle, WA, United States
推荐引用方式 GB/T 7714	Garcia-Pineda O.,Androulidakis Y.,Le Hénaff M.,et al. Measuring oil residence time with GPS-drifters; satellites; and Unmanned Aerial Systems (UAS)[J],2020,150.
APA	Garcia-Pineda O..,Androulidakis Y..,Le Hénaff M..,Kourafalou V..,Hole L.R..,...&DiPinto L..(2020).Measuring oil residence time with GPS-drifters; satellites; and Unmanned Aerial Systems (UAS).Marine Pollution Bulletin,150.
MLA	Garcia-Pineda O.,et al."Measuring oil residence time with GPS-drifters; satellites; and Unmanned Aerial Systems (UAS)".Marine Pollution Bulletin 150(2020).