scholarly journals Risk Analysis and Emergency Response to Marine Oil Spill Environmental Pollution

2021 ◽  
Vol 687 (1) ◽  
pp. 012070
Author(s):  
Jin Chenhao ◽  
Xu Yupeng
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.


1987 ◽  
Vol 1987 (1) ◽  
pp. 547-551 ◽  
Author(s):  
R. Glenn Ford ◽  
Gary W. Page ◽  
Harry R. Carter

ABSTRACT From an aesthetic and damage assessment standpoint, the loss of seabirds may be one of the more important results of a marine oil spill. Assessment of the actual numbers of seabirds killed is difficult because the bodies of dead or incapacitated seabirds are often never found or recorded. We present a computer methodology that estimates the number of birds that come in contact with an oil spill and partitions these birds among four possible fates: (1) swimming or flying ashore under their own power; (2) carried out to sea by winds and currents; (3) carried inshore, but lost before being beached; and (4) beached by winds and currents. Beached birds are further divided into those that are recovered and those that are not. The accuracy of the methodology is examined using data for two recent spills in central California, each of which resulted in the beachings of large numbers of birds. The methodology also has potential application to real-time emergency response by predicting when and where the greatest numbers of bird beachings will occur.


2012 ◽  
Vol 605-607 ◽  
pp. 234-238
Author(s):  
Feng Yu ◽  
Xiao Feng Sun ◽  
Xin Yu Zhang

Oil spill emergency response is a way of controlling and cleaning oil spill fast and effectively according to emergency plan; it would decrease the pollution of oil spill. Refer to the vessel oil spill emergency response system status of China, based on the research of vessel oil spill emergency response system, this paper analyzes the function and parameter of a variety of oil spill emergency equipments, then does 3d modeling to WQJ1000 oil containment boom, this is of special interest to the oil spill emergency response system simulation.


2005 ◽  
Vol 2005 (1) ◽  
pp. 731-734
Author(s):  
Michel Boulé ◽  
Martin Blouin

ABSTRACT In the event of a marine oil spill, it is necessary to quickly and clearly assess the situation and estimate the extent of the area potentially impacted by oil. This software combines the following features integrated in a Geographical Information System: Geo-referenced digital aerial survey; Access to trajectory forecast model results; charts with marine and terrestrial data. These features allows a better planning of the emergency response in terms of deployment of personnel and equipment, because it helps to document clearly the observed spill and to give rapidly the length of the coastline at risk and the forecasted time at which the oil spill will start reaching the coast. Aerial surveys are one of the main tools used towards these ends. Aerial observations support the planning of oil cleanup and recovery work, and can also provide accurate data for oil spill fate and trajectory models. Aerial surveyors traditionally use paper maps to record their observations. This way of doing things presents some limits. These include: 1) the difficulty to evaluate the exact location of observed features on the map; 2) the difficulty to record all the necessary information on a fixed-scale map and; 3) the issue of transferring the recorded observations to spill managers, which takes time, requires explanations from the observer and can be subject to interpretation mistakes. These are the reasons why the Canadian Coast Guard, in partnership with Cogeni Technologie Inc., developed the SpillView software system. SpillView, which runs under the Windows XP operating sytem, is designed to operate on a pressure sensitive tablet PC equipped with a GPS and electronic maps. The system displays the real time location and trajectory of the aircraft. The observer can record different types of observations (such as oil location, environmental resources, and shorelines contamination) on georeferenced layers that can be individually exported to formats compatible with other Geographical Information Systems. The observer can also use the system to electronically transfer the observed oil location to a spill modeling center, and display the modeling results within minutes. Spillview proved to be a good tool to support training and exercises, as it can be used to portray different spill scenarios on electronic maps. The software could also be used for other aerial survey needs, such as national security or forest fires. SpillView is presently being enhanced in order to provide operational support by enabling real time access to equipment inventory databases and fieldwork description forms.


2020 ◽  
Vol 10 (15) ◽  
pp. 5269
Author(s):  
Kui Huang ◽  
Wen Nie ◽  
Nianxue Luo

Case-based reasoning (CBR) systems often provide a basis for decision makers to make management decisions in disaster prevention and emergency response. For decades, many CBR systems have been implemented by using expert knowledge schemes to build indexes for case identification from a case library of situations and to explore the relations among cases. However, a knowledge elicitation bottleneck occurs for many knowledge-based CBR applications because expert reasoning is difficult to precisely explain. To solve these problems, this paper proposes a method using only knowledge to recognize marine oil spill cases. The proposed method combines deep reinforcement learning (DRL) with strategy selection to determine emergency responses for marine oil spill accidents by quantification of the marine oil spill scenario as the reward for the DRL agent. These accidents are described by scenarios and are considered the state inputs in the hybrid DRL/CBR framework. The challenges and opportunities of the proposed method are discussed considering different scenarios and the intentions of decision makers. This approach may be helpful in terms of developing hybrid DRL/CBR-based tools for marine oil spill emergency response.


Author(s):  
Kui Huang ◽  
Wen Nie ◽  
Nianxue Luo

Constructed emergency response scenarios provide a basis for decision makers to make management decisions, and the development of such scenarios considers earlier historical cases. Over the decades, the development of emergency response scenarios has mainly implemented the elements of historic cases to describe the grade and influence of an accident. This paper focuses on scenario construction and proposes a corresponding framework based on natural language processing (NLP) using text reports of marine oil spill accidents. For each accident, the original textual reports are first divided into sentence sets corresponding to the temporal evolution. Each sentence set is regarded as a textual description of a marine oil spill scenario. A method is proposed in this paper, based on parsing, named entity recognition (NER) and open information extraction (OpenIE) to process the relation triples that are extracted from the sentence sets. Finally, the relation triples are semantically clustered into different marine oil spill domains to construct scenarios. The research results are validated and indicate that the proposed scenario construction framework can be effectively used in practical applications.


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