Applicability evaluation of the diagnostic ratios consisting of bicyclic sesquiterpanes to source identification for seriously weathered spilled oils

2019 ◽  
Vol 11 (47) ◽  
pp. 5997-6003 ◽  
Author(s):  
Bin Han ◽  
Li Zheng ◽  
Shun Yu
Keyword(s):  
Source Identification ◽  
Oil Spills ◽  
Diagnostic Ratios ◽  
Polluted Environment ◽  
Marine Oil ◽  
Marine Oil Spills ◽  
Bicyclic Sesquiterpanes ◽  
Applicability Evaluation

Marine oil spills often cause long-term harm to the polluted environment.

scholarly journals Hyperspectral Remote Sensing Detection of Marine Oil Spills Using an Adaptive Long-Term Moment Estimation Optimizer

2021 ◽  
Vol 14 (1) ◽  
pp. 157
Author(s):  
Zongchen Jiang ◽  
Jie Zhang ◽  
Yi Ma ◽  
Xingpeng Mao
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
Oil Spills ◽  
Heavy Oils ◽  
Marine Oil ◽  
Oil Spill Detection ◽  
Moment Estimation ◽  
Marine Oil Spills ◽  
Oil Films

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.

Response to marine oil spills

1988 ◽  
Vol 19 (6) ◽  
pp. 297
Author(s):  
R.A.A. Blackman
Keyword(s):  
Oil Spills ◽  
Marine Oil ◽  
Marine Oil Spills

The application of a carrier-based bioremediation strategy for marine oil spills

2014 ◽  
Vol 84 (1-2) ◽  
pp. 339-346 ◽  
Author(s):  
Petra J. Sheppard ◽  
Keryn L. Simons ◽  
Eric M. Adetutu ◽  
Krishna K. Kadali ◽  
Albert L. Juhasz ◽  
...  
Keyword(s):  
Oil Spills ◽  
Marine Oil ◽  
Marine Oil Spills

Optimal Detection and Estimation of Marine Oil Spills Through Coherent Pluralism

2013 ◽  
Vol 4 (1) ◽  
pp. 84-111
Author(s):  
Kufre Bassey ◽  
Polycarp Chigbu
Keyword(s):  
Remote Sensing ◽  
Environmental Science ◽  
Oil Spills ◽  
False Alarms ◽  
Optical Remote Sensing ◽  
Marine Oil ◽  
Detection And Estimation ◽  
Number Of False Alarms ◽  
Marine Oil Spills ◽  
Remote Sensing Techniques

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. Majority of optical remote sensing techniques used for marine oil spills detection have been reported lately of having high number of false alarms (oil slick look-a-likes) phenomena which give rise to signals which appear to be oil but are not. Suggestions for radar image as an operational tool has also been made. However, due to the inherent risk in these tools, this paper presents the possible research directions of combining statistical techniques with remote sensing in marine oil spill detection and estimation.

Mandelic acid-derived organogelators: applications of their solid form in rapid and efficient remediation of marine oil spills

2020 ◽  
Vol 4 (1) ◽  
pp. 222-230 ◽  
Author(s):  
Xin Zhang ◽  
Ran Dai ◽  
Helue Sun ◽  
Yuteng Zhang ◽  
Di Liu ◽  
...  
Keyword(s):  
Crude Oil ◽  
Mandelic Acid ◽  
Oil Spills ◽  
Marine Oil ◽  
Marine Oil Spills ◽  
Solid Form

Phase-selective gelation of crude oil in gelator solid form was achieved using a mandelic acid-derived organogelator for the instant and efficient remediation of marine oil spills.

scholarly journals Optimization on Emergency Materials Dispatching Considering the Characteristics of Integrated Emergency Response for Large-Scale Marine Oil Spills

2019 ◽  
Vol 7 (7) ◽  
pp. 214 ◽  
Author(s):  
Song Li ◽  
Manel Grifoll ◽  
Miquel Estrada ◽  
Pengjun Zheng ◽  
Hongxiang Feng
Keyword(s):  
Emergency Response ◽  
Oil Spill ◽  
Large Scale ◽  
Oil Spills ◽  
Marine Oil ◽  
Emergency Managers ◽  
Distribution Point ◽  
Dispatching Algorithm ◽  
Marine Oil Spills ◽  
The Difference

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.

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