BioBind - Airborne clean-up of oil pollution at sea with biogenic oil binders

2014 ◽  
Vol 2014 (1) ◽  
pp. 1431-1440 ◽  
Author(s):  
Marcus Siewert ◽  
Martin Powilleit ◽  
Fokke Saathoff

ABSTRACT The success of oil spill response operations is mainly dependent on the response time and the weather and sea state conditions. That's where the research project “BioBind” is setting the focus: To develop an oil spill response system fast to apply and sea state independent. Within this project a network of eight different partners from universities, research institutes and medium sized companies work from summer 2011 to summer 2014. The paper provides an overview on the oil spill response research project “BioBind” and focuses on a large scale field experiment carried out in summer 2013 with the RV “E.M.Borgese” at the Baltic Sea.

2008 ◽  
Vol 2008 (1) ◽  
pp. 615-619 ◽  
Author(s):  
Tim L. Robertson ◽  
S. Anil Kumar

ABSTRACT Technological advancements in oil spill response systems have contributed to more proficient oil spill response operations. Yet, there are still times when oil is being shipped but environmental conditions, such as wind, waves, temperature, and visibility, preclude effective spill response operations. The Response Gap is this window between the point of maximum mechanical response capacity and the weather-based limits of oil transportation. To quantify the Response Gap for two operating areas in Prince William Sound (PWS), Alaska, historical datasets of the environmental factors known to affect the open-water mechanical response system were assembled. Each dataset contained observations related to four environmental factors: wind, sea state, temperature, and visibility. These datasets were used in a “hind-cast” to evaluate how often environmental conditions exceed the response operating limits. Response operating limits were determined based on a thorough review of the published literature, existing contingency plans, regulatory standards, and after-action reports, with the objective of establishing realistic limits for the existing open-water response system. Response limits were then coded using the colors red (response not possible), yellow (response possible but impaired), and green (response possible) for a particular environmental factor during each operational period. A Response Gap Index (RGI) was calculated to incorporate the interactions between environmental factors. Once the RGI was computed for each observational period, the dataset was summarized to produce an estimate of the amount of time that the Response Gap existed. The met-ocean climatology is characterized using histograms and joint-probability distribution plots, with the RGI superimposed. At Hinchinbrook Entrance, sea state exceeded the operating limits 19.2% of the time and wind exceeded the limits 2.9% of the time. When the environmental factors were considered together, the response limitations were exceeded 37.7% of the time. Not surprisingly, the response limits were exceeded more often in winter (65.4% of the time) than in summer (15.6% of the time). Results for Central PWS indicated that the response limitations were exceeded only 12.6% of the time. The paper discusses ways to improve the present subjective quantification of response limits, particularly through additional field trials and modeling of mechanical recovery systems.


2017 ◽  
Vol 2017 (1) ◽  
pp. 431-446

ABSTRACT In a situation where oil is spilled on the Norwegian Continental Shelf (NCS) the operator is responsible for the oil spill response. To do this in a robust and efficient way Norwegian Clean Seas Association for Operating Companies (NOFO) handles the oil spill response on behalf of all member companies. Handling an oil spill response situation in all its forms from offshore incident to beach restoration involves many different resources, skills and people. Introducing Incident Command System (ICS) as the command system for this task even increases the amount of training we need to do. How can NOFO achieve the optimal training of our common and shared response resources in a time where focus is on an effective and robust response? Having an overview of the different response needs and response plans NOFO coordinates activity, training and exercises in an efficient way. This is done with the aid of NOFO’s operative plan. The plan describes every resource with a performance requirement and puts it in to a response context. This gives NOFO a foundation to build a response that is structured and cost efficient for our members. Furthermore, this enables NOFO to tailor our training and exercises from the individual responder/resource to the complex large-scale field exercise which involves typically 250–350 people from numerous different operating companies, municipalities, governmental and private responders. This paper will describe how we plan, train and exercise on the NCS in order to be prepared for response in an efficient and robust way.


1995 ◽  
Vol 1995 (1) ◽  
pp. 926-926
Author(s):  
Duane Michael Smith

ABSTRACT With the implementation of the Oil Pollution Act of 1990 came the requirement for vessels to develop plans for responding to oil spills from their vessels. While some companies had such plans in the past, the National Response System did not formally recognize their existence. Individual vessel response plans must now be viewed as an integral part of the National Response System. All of the parties that could be involved in an oil spill response must begin to view themselves as one tile of many that make up the mosaic known as the National Response System.


1997 ◽  
Vol 1997 (1) ◽  
pp. 707-712 ◽  
Author(s):  
Alan J. Mearns ◽  
Albert D. Venosa ◽  
Kenneth Lee ◽  
Michael Salazar

ABSTRACT A 14-week, large-scale field study in Delaware demonstrated that, on a moderately exposed sandy beach, nutrients, not oil-degrading microorganisms, were the primary factors limiting biodegradation. The results are reviewed in the context of lessons and guidelines for a full-scale bioremediation response.


2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion

2010 ◽  
Vol 108-111 ◽  
pp. 1158-1163 ◽  
Author(s):  
Peng Cheng Nie ◽  
Di Wu ◽  
Weiong Zhang ◽  
Yan Yang ◽  
Yong He

In order to improve the information management of the modern digital agriculture, combined several modern digital agriculture technologies, namely wireless sensor network (WSN), global positioning system (GPS), geographic information system (GIS) and general packet radio service (GPRS), and applied them to the information collection and intelligent control process of the modern digital agriculture. Combining the advantage of the local multi-channel information collection and the low-power wireless transmission of WSN, the stable and low cost long-distance communication and data transmission ability of GPRS, the high-precision positioning technology of the DGPS positioning and the large-scale field information layer-management technology of GIS, such a hybrid technology combination is applied to the large-scale field information and intelligent management. In this study, wireless sensor network routing nodes are disposed in the sub-area of field. These nodes have GPS receiver modules and the electric control mechanism, and are relative positioned by GPS. They can real-time monitor the field information and control the equipment for the field application. When the GPS position information and other collected field information are measured, the information can be remotely transmitted to PC by GPRS. Then PC can upload the information to the GIS management software. All the field information can be classified into different layers in GIS and shown on the GIS map based on their GPS position. Moreover, we have developed remote control software based on GIS. It can send the control commands through GPRS to the nodes which have control modules; and then we can real-time manage and control the field application. In conclusion, the unattended automatic wireless intelligent technology for the field information collection and control can effectively utilize hardware resources, improve the field information intelligent management and reduce the information and intelligent cost.


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