Results 41 to 50 of about 164,590 (310)
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
Oil Spill Detection with Multiscale Conditional Adversarial Networks with Small-Data Training
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
Use of Remote Sensing Data to Detect Environmental Degradation in the Oil Rich Region of Southern Nigeria between 2003 and 2015 [PDF]
The oil spill management system aims to achieve a knowledge- based system which can choose the most suitable method of response in shorter time by analyzing the various sensitivity factors of coastal environment, affecting parameters on oil spill ...
C, O. J. (Ojiako), U, D. U. (Duru)
core +1 more source
Electrobioremediation of oil spills [PDF]
Annually, thousands of oil spills occur across the globe. As a result, petroleum substances and petrochemical compounds are widespread contaminants causing concern due to their toxicity and recalcitrance. Many remediation strategies have been developed using both physicochemical and biological approaches.
DAGHIO, MATTEO +9 more
openaire +6 more sources
OIL DETECTION IN A COASTAL MARSH WITH POLARIMETRIC SAR [PDF]
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
Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges
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
ZnS‐MXene‐TiO2 nanocomposite heterojunction for photocatalytic decomposition of this methylene blue dye (MB) greatly improves light absorption, charge separation, and active site area. Two‐dimensional MXene forms nanocomposites by easily combining them with 0D (quantum dots), 1D (tube and wire), 2D (plane and sheet), and 3D (particle and lamellar ...
Latiful Kabir +7 more
wiley +1 more source
Underwater Pipeline Oil Spill Detection Based on Structure of Root and Branch Cells
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
In marine insurance, the identification of the distribution of the claim size processes from given observations is of major importance. We evaluate the claim amounts due to accidental oil spill volume from tankers.
Ringo Ho Fai Ching, Tsz Leung Yip
doaj +1 more source
Dispersants and Seafood Safety Assessment of the potential impact of Corexit® oil dispersants on seafood safety [PDF]
The April 20, 2010 explosion and subsequent sinking of the Deepwater Horizon oil production platform (DWH) resulted in the largest oil spill in U.S. history.
Dickey, Robert W., Dickhoff, Walton W.
core +1 more source

