Results 31 to 40 of about 1,309,443 (310)
Risk assessment on oil spill of large oil tanker in the waters of Cape of Good Hope in Africa
You-qi chuyun, 2021 The surrounding marine ecological environment and the economic and social development will be seriously harmed if any oil spill of large oil tankers occurs at sea.
Yuanyuan PAN +3 more
doaj +1 more source
Journal of Marine Science and Engineering, 2019 The oil spill risk analysis (OSRA) model is a tool used by the Bureau of Ocean Energy Management (BOEM) to evaluate oil spill risks to biological, physical, and socioeconomic resources that could be exposed to oil spill contact from oil and gas leasing ...
Zhen Li, Walter Johnson
doaj +1 more source
Journal of Research of the National Institute of Standards and Technology, 2001 For more than a decade NIST conducted research to understand, measure and predict the important features of burning oil on water. Results of that research have been included in nationally recognized guidelines for approval of intentional burning. NIST measurements and predictions have played a major role in establishing in situ burning as a primary oil
Evans, David D. +4 more
openaire +2 more sources
A fishery- oil spill interaction model. [PDF]
, 1979 An oil spill behavior and fates model is coupled to a fisheries model to produce dynamic simulations of the interactive effects between an oil spill and the cod fishery on Georges Bank, with impacts being projected into the commercial catch.-from ...
Reed, M., Spaulding, M. L.
core +1 more source
OIL DETECTION IN A COASTAL MARSH WITH POLARIMETRIC SAR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The NASA UAVSAR was deployed June 2010 to support Deep Water Horizon oil spill response activities specifically, oil detection and characterization, oil extent mapping in wetlands, coastal resource impact detection, and ecosystem recovery.
E. Ramsey III +3 more
doaj +1 more source
Oil Spill Detection with Multiscale Conditional Adversarial Networks with Small-Data Training
Remote Sensing, 2021 We investigate the problem of training an oil spill detection model with small data. Most existing machine-learning-based oil spill detection models rely heavily on big training data.
Yongqing Li +3 more
doaj +1 more source
Oil Spill Detection Using LBP Feature and K-Means Clustering in Shipborne Radar Image
Journal of Marine Science and Engineering, 2021 Oil spill accidents have seriously harmed the marine environment. Effective oil spill monitoring can provide strong scientific and technological support for emergency response of law enforcement departments.
Jin Xu +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Underwater Pipeline Oil Spill Detection Based on Structure of Root and Branch Cells
Journal of Marine Science and Engineering, 2020 The existing oil spill detection methods mainly rely on physical sensors or numerical models cannot locate the spill position accurately and in time. To solve this problem, combining with underwater image processing technology, an unsupervised detection ...
Huajun Song, Jie Song, Peng Ren
doaj +1 more source
Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges
Journal of Marine Science and Engineering, 2023 Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. As a consequence, scientific literature contains various up-to-date, advanced oil spill predictive models, capable of simulating the ...
Panagiota Keramea +3 more
doaj +1 more source