Consulta: subjectFacets:"Deepwater Horizon"
Registros recuperados: 3
Data/hora: 10/06/2024 11:17:54

After the Cap: Risk Assessment, Citizen Science and Disaster Recovery
Provedor de dados: 7
Autores: McCormick, Sabrina; George Washington University; sabmc@gwu.edu.
I used the 2010 Deepwater Horizon oil spill to examine how crowdsourcing is used as a new form of citizen science that provides real time assessments of health-related exposures. Assessing risks of an oil spill, or disasters more generally, is a challenge complicated by the situated nature of knowledge-generation that results in differential perceptions and responses. These processes are critical in the case of the British Petroleum spill in the Gulf Coast since the identification of risks promises to have ramifications for multiple social actors, as well as the health status and long-term resilience of communities in the area. Qualitative interviews, ethnographic observations, and video data were collected with local social movement organizations,...
Tipo: Peer-Reviewed article
Palavras-chave: Deepwater Horizon; Citizen science; Health; Oil spill.
Ano: 2012

The choice of droplet size probability distribution function for oil spill modeling is not trivial
Provedor de dados: 5
Autores: Faillettaz, Robin; Paris, Claire B.; Vaz, Ana C.; Perlin, Natalie; Aman, Zachary M.; Schlüter, Michael; Murawski, Steven A.
The droplet size distribution (DSD) formed by gas-saturated oil jets is one of the most important characteristics of the flow to understand and model the fate of uncontrolled deep-sea oil spills. The shape of the DSD, generally modeled as a theoretical lognormal, Rosin-Rammler or non-fundamental distribution function, defines the size and the mass volume range of the droplets. Yet, the fundamental DSD shape has received much less attention than the volume median size (d50) and range of the DSD during ten years of research following the Deepwater Horizon (DWH) blowout. To better understand the importance of the distribution function of the droplet size we compare the oil rising time, surface oil mass, and sedimented and beached masses for different DSDs...
Tipo: Text
Palavras-chave: Droplet size distribution; DSD; Oil spill; Oil spill model; Oil model; Deepwater Horizon; Blowout; D50; Probability distribution function.
Ano: 2021
URL: https://archimer.ifremer.fr/doc/00664/77654/79990.pdf

A Coupled Lagrangian-Earth System Model for Predicting Oil Photooxidation
Provedor de dados: 5
Autores: Vaz, Ana C; Faillettaz, Robin; Paris, Claire B.
During the Deepwater Horizon (DWH) blowout, photooxidation of surface oil led to the formation of persistent photooxidized compounds, still found in shoreline sediments a decade later. Studies demonstrated that photooxidation modified both biodegradation rates of the surface oil and the effectiveness of aerial dispersant applications. Despite the significant consequences of this weathering pathway, the lack of measurements prevented photooxidation to be accounted for in the DWH oil budget calculations and in most predictive models. Here we develop a Lagrangian photooxidation module that estimates the dose of solar radiation individual oil droplets receive while moving in the ocean, quantifies the likelihood of photooxidative changes, and continues to track...
Tipo: Text
Palavras-chave: Oil spill; Oil photooxidation; Irradiance; Oil weathering; Deepwater Horizon; Oil-Connectivity modeling System; Oil modeling.
Ano: 2021
URL: https://archimer.ifremer.fr/doc/00680/79177/81684.pdf