scholarly journals Improving oil spill trajectory modelling in the Arctic

2019 ◽  
Vol 140 ◽  
pp. 65-74 ◽  
Author(s):  
Tor Nordam ◽  
CJ Beegle-Krause ◽  
Jørgen Skancke ◽  
Raymond Nepstad ◽  
Mark Reed
Author(s):  
A.A. Gorbunov ◽  
◽  
S.I. Shepelyuk ◽  
A.G. Nesterenko ◽  
K.I. Drapey ◽  
...  

Author(s):  
Alexander Krivichev ◽  
Alexander Krivichev

Russian Arctic shelf - rich larder of the hydrocarbons, at the same time Northern Sea Route (NSR) - a strategically important route for transporting them. The extraction and the transportation of the hydrocarbons along the NSR requires the solution of a number of ecological and economic problems in the first place to ensure environmental and technogenic safety. For the solving of these problems on the continental shelf it is required a system of comprehensive measures: - the development of the regulatory framework for environmental support oil and gas projects; - the introduction and use of integrated methods for monitoring environmental conditions at the sites of technogenic loads on the shelf of the Arctic seas, including the use of drones; - creating different models for assessing the marginal stability of ecosystems to technogenic loads during production and transportation of hydrocarbons on the continental shelf based on systems of dynamic simulations; - the development and use of sensitivity maps of coastal areas of the Arctic seas during oil spill response; - accounting of the results of the analysis of the total environmental benefit in the development of oil spill response plans; - application of the principle of "zero" resetting, due to the high fishery valuation in Barents and Kara seas and the conservation of marine biological resources.


Polar Biology ◽  
2021 ◽  
Vol 44 (3) ◽  
pp. 575-586
Author(s):  
Pepijn De Vries ◽  
Jacqueline Tamis ◽  
Jasmine Nahrgang ◽  
Marianne Frantzen ◽  
Robbert Jak ◽  
...  

AbstractIn order to assess the potential impact from oil spills and decide the optimal response actions, prediction of population level effects of key resources is crucial. These assessments are usually based on acute toxicity data combined with precautionary assumptions because chronic data are often lacking. To better understand the consequences of applying precautionary approaches, two approaches for assessing population level effects on the Arctic keystone species polar cod (Boreogadus saida) were compared: a precautionary approach, where all exposed individuals die when exposed above a defined threshold concentration, and a refined (full-dose-response) approach. A matrix model was used to assess the population recovery duration of scenarios with various but constant exposure concentrations, durations and temperatures. The difference between the two approaches was largest for exposures with relatively low concentrations and short durations. Here, the recovery duration for the refined approach was less than eight times that found for the precautionary approach. Quantifying these differences helps to understand the consequences of precautionary assumptions applied to environmental risk assessment used in oil spill response decision making and it can feed into the discussion about the need for more chronic toxicity testing. An elasticity analysis of our model identified embryo and larval survival as crucial processes in the life cycle of polar cod and the impact assessment of oil spills on its population.


2021 ◽  
Vol 213 ◽  
pp. 106676
Author(s):  
Saeed Mohammadiun ◽  
Guangji Hu ◽  
Abdorreza Alavi Gharahbagh ◽  
Reza Mirshahi ◽  
Jianbing Li ◽  
...  

Author(s):  
M Naseri ◽  
Abbas Barabadi ◽  
Javad Barabady ◽  
G Voskoboynikov

1981 ◽  
Vol 1981 (1) ◽  
pp. 173-181
Author(s):  
W. M. Pistruzak

ABSTRACT Canadian Marine Drilling (Canmar), a wholly owned subsidiary of Dome Petroleum Ltd., is conducting exploratory drilling in the Beaufort Sea with the objective of on-stream production by the mid-1980s. If a major oil well blow-out should occur, and the probability of such an occurrence is very small, (Bercha, 1977), oil would be released to the surface of the sea until a relief well could be drilled or the well sealed itself. The relief well could be drilled during the same drill season, or, in the worst case, it might not be completed until the following year. Therefore, Dome could be faced with the problem of cleaning up an oil spill during open-water, freeze-up, and winter or spring break-up conditions. To this end, Dome has developed a contingency plan, based on, and updated according to, its ongoing research and development programs to deal with an oil spill during each of the above-mentioned periods of time. To date, Dome has invested approximately $10 million in its research and development programs. This paper deals with Dome's research and development in oil spill countermeasures for its present ongoing exploration activities and its future production and transportation systems.


2021 ◽  
Author(s):  
Camilla Brekke ◽  
Martine Espeseth ◽  
Knut-Frode Dagestad ◽  
Johannes Röhrs ◽  
Lars Hole ◽  
...  

<p><strong>Integrated analysis of remote sensing and numerical oil drift simulations for </strong><strong>improved </strong><strong>oil spill preparedness capabilities</strong></p><p>Camilla Brekke<sup>1</sup>, Martine M. Espeseth<sup>1</sup>, Knut-Frode Dagestad<sup>2</sup>, Johannes Röhrs<sup>2</sup>, Lars Robert Hole<sup>2</sup>, and Andreas Reigber<sup>3</sup></p><p> </p><p><sup>1</sup>UiT The Arctic University of Norway, Tromsø, Norway</p><p><sup>2</sup>The Norwegian Meteorological Institute, Oslo, Norway</p><p><sup>3</sup>DLR, Microwaves and Radar Institute, Oberpfaffenhofen-Weßling, Germany</p><p> </p><p>We present results from a successfully conducted free-floating oil spill field experiment followed by an integrated analysis of remotely sensed data and drift simulations. The experiment took place in the North Sea in the summer of 2019 during Norwegian Clean Seas Association for Operating Companies’ annual oil-on-water exercise. Two types of oils were applied: a mineral oil emulsion and a soybean oil emulsion. The dataset collected contains a collection of close-in-time radar (aircraft and space-borne) and optical data (aircraft, aerostat, and drone) acquisitions of the slicks. We compare oil drift simulations, applying various configurations of wind, wave, and current information, with observed slick positions and shape. We describe trajectories and dynamics of the spills, slick extent, and their evolution, and the differences in detection capabilities in optical instruments versus multifrequency quad-polarimetric synthetic aperture radar (SAR) imagery acquired by DLRs large-scale airborne SAR facility (F-SAR). When using the best available forcing from in situ data and forecast models, good agreement with the observed position and extent are found in this study. The appearance in the optical images and the SAR time series from F-SAR were found to be different between the soybean and mineral oil types. Differences in mineral oil detection capabilities are found between SAR and optical imagery of thinner sheen regions. From a drifting perspective, the biological oil emulsions could replace the viscous similar mineral oil emulsion in future oil spill preparedness campaigns. However, from a remote sensing and wildlife perspective, the two oils have different properties. Depending on the practical application, further investigation on how the soybean oil impact the seabirds must be conducted in order to recommend the soybean oil as a viable substitute for mineral oil.</p><p> </p><p>This study is published as open access in Journalof Geophysical Research: Oceans[1], and we encourage the audience to read this article for detailed acquaintance with the work.</p><p> </p><p>Reference:</p><p>[1]Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., & Reigber,A. (2021). Integrated analysis of multisensor datasets and oil driftsimulations—a free-floating oil experiment in the open ocean. Journalof Geophysical Research: Oceans, 126, e2020JC016499. https://doi.org/10.1029/2020JC016499</p>


2019 ◽  
Vol 2 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Mawuli Afenyo ◽  
Faisal Khan ◽  
Brian Veitch ◽  
Adolf K. Y. Ng ◽  
Zaman Sajid ◽  
...  

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