[HTML][HTML] Digital twin challenges in biodiversity modelling
Digital Twin is a contemporary digital representation paradigm that is capable of
encompassing the complex interactions within the natural environment. By building …
encompassing the complex interactions within the natural environment. By building …
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 …
and coastal communities. As a consequence, scientific literature contains various up-to-date …
Qatar Peninsula's vulnerability to oil spills and its implications for the global gas supply
More than 20% of global liquefied natural gas (LNG) exports and almost all of Qatar's
drinking water production originate from three industrial sites on Qatar's eastern coast. They …
drinking water production originate from three industrial sites on Qatar's eastern coast. They …
[HTML][HTML] Lagrangian modelling of oil concentrations at sea: A sensitivity analysis to the grid resolution and number of Lagrangian elements
A Martínez, AJ Abascal, A García, G Aragón… - Marine Pollution …, 2024 - Elsevier
This paper presents a novel method to select the optimal combination of grid resolution and
number of Lagrangian elements (LEs) required in numerical modelling of oil concentrations …
number of Lagrangian elements (LEs) required in numerical modelling of oil concentrations …
Diluted bitumen: physicochemical properties, weathering processes, emergency response, and recovery
Bitumen, an unconventional crude oil, has received much attention with the increasing
consumption and the shrinking storage of conventional crude oils. Bitumen is highly viscous …
consumption and the shrinking storage of conventional crude oils. Bitumen is highly viscous …
Effects of meteo-oceanographic conditions on the weathering processes of oil spills in northeastern Brazil
HL Varona, C Noriega, AE Calzada, C Medeiros… - Marine Pollution …, 2024 - Elsevier
This paper presents the graphical results of the Lagrangian-model and the weathering
processes associated with oil spills in the tropical South Atlantic, taking into account the …
processes associated with oil spills in the tropical South Atlantic, taking into account the …
Modeling marine oil spill trajectory and fate off Hurghada, Red Sea coast, Egypt
IM Abdallah, VYU Chantsev - Egyptian Journal of Aquatic Biology …, 2022 - journals.ekb.eg
The Russian-Ukrainian conflict has diverted European nations from purchasing Russian oil
and correspondingly increased the demand from Arab Gulf countries, increasing the number …
and correspondingly increased the demand from Arab Gulf countries, increasing the number …
[HTML][HTML] Satellite imagery in evaluating oil spill modelling scenarios for the Syrian oil spill crisis, summer 2021
The second-largest oil pollution incident in the Eastern Mediterranean Levantine basin,
following the oil pollution crisis in Lebanon in 2006, is considered to be the oil leakage from …
following the oil pollution crisis in Lebanon in 2006, is considered to be the oil leakage from …
Hierarchical Optimization of Oil Spill Response Vessels in Cases of Accidental Pollution of Bays and Coves
M Đorđević, Đ Mohović, A Krišković… - Journal of marine science …, 2022 - mdpi.com
Ships pollute bays and coves with oils daily. Although the number of major pollution events
is decreasing, accidents still occur and are likely to occur in the future. Most often, pollution …
is decreasing, accidents still occur and are likely to occur in the future. Most often, pollution …
[HTML][HTML] Analyzing Oil Spill Dynamics along the Sudanese Coast Using Web GNOME Modeling
M Elmahi, GR Kattel, IM Abdallah, BR Larbi… - Open Access Library …, 2024 - scirp.org
Oil spills pose significant threats to aquatic ecosystems, necessitating the development of
accurate predictive models to assess their impact and guide emergency response efforts …
accurate predictive models to assess their impact and guide emergency response efforts …