The Present State of Marine Oil Spills and the Enhancement Plans of National Oil Spill Response Capability in Vietnam

Author(s):  
Phan Van Hung ◽  
◽  
Kwang-Soo Kim
2001 ◽  
Vol 2001 (2) ◽  
pp. 1281-1289 ◽  
Author(s):  
Dagmar Schmidt Etkin

ABSTRACT This study reviews three alternative oil spill response cost estimation methodologies as applied to hypothetical spill scenarios in the Gulf of Mexico and San Francisco Bay, California: (1) a model derived from historical data on various spill factors that drive overall cleanup costs; (2) a method using U.S. Area Contingency Plan (ACP) spill scenario plans to estimate costs for mechanical containment and recovery costs to be extrapolated to other hypothetical spill scenarios; and (3) a method that estimates the labor and equipment required for mechanical containment and recovery operations and the resulting costs. A method for estimating dispersant costs is also discussed. The easy-to-use model derived from historical data is shown to be a good cost estimation tool.


2019 ◽  
Vol 7 (7) ◽  
pp. 214 ◽  
Author(s):  
Song Li ◽  
Manel Grifoll ◽  
Miquel Estrada ◽  
Pengjun Zheng ◽  
Hongxiang Feng

Many governments have been strengthening the construction of hardware facilities and equipment to prevent and control marine oil spills. However, in order to deal with large-scale marine oil spills more efficiently, emergency materials dispatching algorithm still needs further optimization. The present study presents a methodology for emergency materials dispatching optimization based on four steps, combined with the construction of Chinese oil spill response capacity. First, the present emergency response procedure for large-scale marine oil spills should be analyzed. Second, in accordance with different grade accidents, the demands of all kinds of emergency materials are replaced by an equivalent volume that can unify the units. Third, constraint conditions of the emergency materials dispatching optimization model should be presented, and the objective function of the model should be postulated with the purpose of minimizing the largest sailing time of all oil spill emergency disposal vessels, and the difference in sailing time among vessels that belong to the same emergency materials collection and distribution point. Finally, the present study applies a toolbox and optimization solver to optimize the emergency materials dispatching problem. A calculation example is presented, highlighting the sensibility of the results at different grades of oil spills. The present research would be helpful for emergency managers in tackling an efficient materials dispatching scheme, while considering the integrated emergency response procedure.


Author(s):  
Elise G. DeCola ◽  
Andrew Dumbrille ◽  
Steve Diggon

ABSTRACT Indigenous communities often bear disproportionate risks from marine oil spills because of their close connections to and reliance on marine ecosystems. The impacts of an oil spill on Indigenous people and communities can be far-reaching, even for incidents that might be considered “small” from the perspective of the response community. Building community capacity for oil spill preparedness and response is a critical component to creating resilience within Indigenous communities. While the fundamental elements of capacity are the same for Indigenous communities as for any other coastal community, the approach requires an understanding and respect for Traditional Knowledge, Indigenous governance structures, and existing stewardship networks. Oil spill preparedness and response traditionally follows a top-down approach within both government and industry, because marine oil spills are low frequency, high consequence, highly complex incidents where multiple organizations and jurisdictions must work together. While this reality applies regardless of whether an oil spill impacts Indigenous communities, a top-down approach can be experienced as a threat to self-governance and compromise the effectiveness of capacity-building efforts. There is a significant body of research in support of the concept that resilience to emergencies and disasters among Indigenous people must build upon existing social, cultural, and familial structures in order to be effective. This requires a fundamentally different approach that builds from the ground up with the goal of ultimately meshing with the existing preparedness and response framework. Peer-to-peer learning and knowledge transfer is an approach that has been used in support of a range of initiatives among Indigenous communities, such as human health initiatives. The same approach may provide a mechanism to empower Indigenous communities to enhance both capacity and resilience. This paper presents a case study from ongoing work to connect Indigenous communities from Canada's High Arctic and Pacific Coast in support of marine oil spill preparedness and response.


2021 ◽  
Vol 14 (1) ◽  
pp. 157
Author(s):  
Zongchen Jiang ◽  
Jie Zhang ◽  
Yi Ma ◽  
Xingpeng Mao

Marine oil spills can damage marine ecosystems, economic development, and human health. It is important to accurately identify the type of oil spills and detect the thickness of oil films on the sea surface to obtain the amount of oil spill for on-site emergency responses and scientific decision-making. Optical remote sensing is an important method for marine oil-spill detection and identification. In this study, hyperspectral images of five types of oil spills were obtained using unmanned aerial vehicles (UAV). To address the poor spectral separability between different types of light oils and weak spectral differences in heavy oils with different thicknesses, we propose the adaptive long-term moment estimation (ALTME) optimizer, which cumulatively learns the spectral characteristics and then builds a marine oil-spill detection model based on a one-dimensional convolutional neural network. The results of the detection experiment show that the ALTME optimizer can store in memory multiple batches of long-term oil-spill spectral information, accurately identify the type of oil spills, and detect different thicknesses of oil films. The overall detection accuracy is larger than 98.09%, and the Kappa coefficient is larger than 0.970. The F1-score for the recognition of light-oil types is larger than 0.971, and the F1-score for detecting films of heavy oils with different film thicknesses is larger than 0.980. The proposed optimizer also performs well on a public hyperspectral dataset. We further carried out a feasibility study on oil-spill detection using UAV thermal infrared remote sensing technology, and the results show its potential for oil-spill detection in strong sunlight.


2021 ◽  
Vol 13 (16) ◽  
pp. 3174
Author(s):  
Yonglei Fan ◽  
Xiaoping Rui ◽  
Guangyuan Zhang ◽  
Tian Yu ◽  
Xijie Xu ◽  
...  

The frequency of marine oil spills has increased in recent years. The growing exploitation of marine oil and continuous increase in marine crude oil transportation has caused tremendous damage to the marine ecological environment. Using synthetic aperture radar (SAR) images to monitor marine oil spills can help control the spread of oil spill pollution over time and reduce the economic losses and environmental pollution caused by such spills. However, it is a significant challenge to distinguish between oil-spilled areas and oil-spill-like in SAR images. Semantic segmentation models based on deep learning have been used in this field to address this issue. In addition, this study is dedicated to improving the accuracy of the U-Shape Network (UNet) model in identifying oil spill areas and oil-spill-like areas and alleviating the overfitting problem of the model; a feature merge network (FMNet) is proposed for image segmentation. The global features of SAR image, which are high-frequency component in the frequency domain and represents the boundary between categories, are obtained by a threshold segmentation method. This can weaken the impact of spot noise in SAR image. Then high-dimensional features are extracted from the threshold segmentation results using convolution operation. These features are superimposed with to the down sampling and combined with the high-dimensional features of original image. The proposed model obtains more features, which allows the model to make more accurate decisions. The overall accuracy of the proposed method increased by 1.82% and reached 61.90% compared with the UNet. The recognition accuracy of oil spill areas and oil-spill-like areas increased by approximately 3% and reached 56.33%. The method proposed in this paper not only improves the recognition accuracy of the original model, but also alleviates the overfitting problem of the original model and provides a more effective monitoring method for marine oil spill monitoring. More importantly, the proposed method provides a design principle that opens up new development ideas for the optimization of other deep learning network models.


2010 ◽  
Vol 67 (6) ◽  
pp. 1105-1118 ◽  
Author(s):  
C. Martínez-Gómez ◽  
A. D. Vethaak ◽  
K. Hylland ◽  
T. Burgeot ◽  
A. Köhler ◽  
...  

Abstract Martínez-Gómez, C., Vethaak, A. D., Hylland, K., Burgeot, T., Köhler, A., Lyons, B. P., Thain, J., Gubbins, M. J., and Davies, I. M. 2010. A guide to toxicity assessment and monitoring effects at lower levels of biological organization following marine oil spills in European waters. – ICES Journal of Marine Science, 67: 1105–1118. The usefulness of applying biological-effects techniques (bioassays and biomarkers) as tools to assist in evaluating damage to the health of marine ecosystems produced by oil spills has been demonstrated clearly during recent decades. Guidelines are provided for the use of biological-effects techniques in oil spill pollution monitoring for the NE Atlantic coasts and the NW Mediterranean Sea. The emphasis is on fish and invertebrates and on methods at lower levels of organization (in vitro, suborganismal, and individual). Guidance is provided to researchers and environmental managers on: hazard identification of the fuel oil released; selection of appropriate bioassays and biomarkers for environmental risk assessment; selection of sentinel species; the design of spatial and temporal surveys; and the control of potential confounding factors in the sampling and interpretation of biological-effects data. It is proposed that after an oil spill incident, a monitoring programme using integrated chemical and biological techniques be initiated as soon as possible for ecological risk assessment, pollution control, and monitoring the efficacy of remediation. This can be done by developing new biomonitoring programmes or by adding appropriate biological-effects methods to the existing monitoring programmes.


1977 ◽  
Vol 1977 (1) ◽  
pp. 309-311
Author(s):  
L. A. Schultz

ABSTRACT The increased interest in, and development of, arctic petroleum resources has increased correspondingly the potential for oil spills in cold regions. A recently completed survey of cold regions oil spill mitigation technology included a cursory determination of the applicability of presently available means to the problems of detection, containment, recovery, temporary storage, and disposal of oil spilled in cold regions. For purposes of the study, cold regions were characterized by the existence of low temperatures and the presence of ice in its many forms. The evaluations were based upon the experience of the authors in conducting other cold regions laboratory and field programs, and the experiences of others in cold regions as reported in the technical literature. This survey revealed that, while a very limited degree of oil spill response capability is available for use in cold regions based upon using the techniques and equipment currently employed in warmer climates, a great deal of development work must be undertaken before a total cold regions oil spill response capability will be available. Current technology falls far short of the desired capability in all functional areas including remote sensing, containment, recovery, temporary storage, and disposal.


2013 ◽  
Vol 331 ◽  
pp. 57-60
Author(s):  
Ping Zhao ◽  
Di Cui

Oil spill accidents are seen relatively frequent and becomes a severe threat to coastal and marine ecosystems and water quality. Thus, this purpose of paper is developed for the active surveillance and rapid response to marine oil spills is important and essential to environment protection. It may appears of leak places for the monitoring needs, and to achieved instant alarm technology and equipment, guarantees leak occurred timely obtained alarm information. In order toproviding oil spill accidents emergency quickly reaction time and prepared, the maximum degree reduce oil leak and accidents caused influences are ensured. Furthermore, the new oil leak forecast warning (tracking &alarm-monitor) technologies are provided.All-weather real-time dynamic system has the function of off-shore oil spill tracking, the spread of oil spill surveillance and the real-time alarm, timely, accurately grasp the oil spill accident happened at the time and place for relevant departments, quickly take emergency and rescue measures to provide reliable basis, promote the oil spill response ability level..


1999 ◽  
Vol 71 (1) ◽  
pp. 103-111 ◽  
Author(s):  
F. R. Engelhardt

Introduction: Remote sensing is useful in several modes of oil spill control, including large area surveillance, site specific monitoring and tactical assistance in emergencies. Remote sensing is able to provide essential information to enhance strategic and tactical decision-making, potentially reducing incidence of spills by providing a deterrent factor, decreasing response costs by facilitating rapid oil recovery and ultimately minimising impact. Marine oil spills can be separated into two categories of relevance to the type of remote sensing technology which might be used to detect and respond to the incident. A first category is non-accidental discharges, which can include incidental losses from vessels due to hull or equipment leaks, as well as oil discharged intentionally during deballasting and tank-cleaning activities. While these non-accidental discharges tend to be small in themselves, they are frequent and contribute much more to the overall introduction of oil to the marine environment than accidental spills, and are of increasing international regulatory concern. Accidental spills are much less frequent, but typically involves much larger releases of oil. Such oil spills are high profile events for which rapid and effective emergency response is needed to contain and recover the spilled oil. In many countries, an appropriate and effective response capability is required by law, such as demanded by the Oil Pollution Act of 1990 in the US, as well as by recent amendments to the Canada Shipping Act in Canada. There is a growing recognition that using remote sensing, especially airborne, to aid cleanup response efforts can mitigate the effects of oil on the environment, as well as reduce cleanup costs. Airborne remote sensing sensing in the support of spill response operations has a mixed level of interest by spill responders when viewed globally. In the US, for instance, airborne remote has had varying degrees of success in meeting operational expectations, and thus is not yet fully integrated into national, regional and area response plans and operations. By comparison, the record of successful use in the UK, for instance, is such that remote sensing support is contracted by the UK Coast Guard on a stand-by basis and used routinely when a significant spill occurs. As another example, airborne remote sensing technologies are now being adopted by the Australian Maritime Safety Authority to support its spill response actions. Low altitude aircraft have proven to be the most effective tactical method for obtaining information about spills and assisting in spill response. Combined with accurate oil drift computer model forecasting, these two methods were the primary strategic tools used for environmental response planning during the IXTOC-1 and Arabian Gulf spills, although less useful for guiding tactical operations (Pavia and Payton, 1983; Cekirge et al., 1992). Conversely, essential tactical support was provided by aerial remote sensing for the application of dispersants, a major spill response in the Sea Empress spill in Southwest Wales (Harris, 1997; Lunel et al., 1997). Currently, the use of imaging satellites for spill response is restricted because of limited spatial resolution, slow revisit times and often long delays in receipt of processed image data. The topic of oil spill monitoring by imaging satellites has been reviewed by Bern (1993a,b). There are significant advances being made, however, to increase resolution and coverage, as well as in the speed of image product delivery. Sensing oil on water by satellites appears best suited for routine surveillance purposes. There are synergisms in protecting the environment and property from oil spills which can be achieved by an integrated approach which draws on the remote sensing advantages of airborne and satellite imaging technology. There are many potential users of such remote sensing information, in government and private sector organisations. Government authorities use such information in surveillance, for example in the North and Baltic Seas, detecting spills when they occur and for identification of the spiller, which could be a vessel discharging illegally. Many government organisations also maintain an organised oil spill response capability, which would be supported by remote sensing information in oil spill response operations. The private sector includes the primary oil industry operating globally, and oil transporters, which carry responsibility and potential liability in the event of a spill. Other potential users are oil spill response organisations which might offer a sub-contracted remote sensing capability to their clients. Other private sector groups include the insurers for the shipping industry, who are directly and immediately interested in keeping both the costs of the response and oil spill impact damage as low as possible. The news media is a additional potential user, interested in quality graphical representation of the oil spill, as is true for any disaster event.


1995 ◽  
Vol 1995 (1) ◽  
pp. 801-805
Author(s):  
Jonathan K. Waldron

ABSTRACT The Oil Pollution Act of 1990 (OPA 90) promoted a coordinated industry and government enhancement of response resources to combat oil spills effectively in the United States. However, the United States remains vulnerable to oil spills near the borders it shares with Canada, Mexico, and various nations in the Caribbean due to legal and administrative impediments associated with cross-boundary spill response activities. This paper explores cross-boundary related issues that could hinder a response and the relationship and roles of industry and government with regard to such issues, and provides recommendations to enhance improved cooperation between government and industry to facilitate response activities. The international structure that currently exists—globally, regionally, and bilaterally—provides a basic framework that promotes cooperation between nations to respond harmoniously to spills threatening the shores of neighboring countries. However, the existing agreements and understandings only provide a basic umbrella. They require planning and implementation of details and commitment to take the specific actions required to implement these agreements and understandings fully. As a result, the enhanced private response capability that now exists in the United States may not be available in a spill involving cross-boundary operations. Neighboring nations must take action to facilitate cross-boundary activities by responders by providing responder-immunity protection similar to that provided under OPA 90 and by removing potential impediments to response activities: laws and other requirements relating to matters such as customs, immigration, and safety training.


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