Transport and behavior of marine oil spill containing polycyclic aromatic hydrocarbons in mesocosm experiments

Polycyclic aromatic hydrocarbons(PAHs)are one of the most important groups in oil,and re sponsible for major toxic and/or carcinogenic impact on humans and wildlife.It is important to understand the behavior of PAHs in marine environment after an oil-spill incident.However,interaction between petroleum PAHs and microbial communities in a marine environment remains unclear.Therefore,a series of mesocosm experiments were conducted.in which water-accommodated fraction(WAF)of oil was generated to simulate an oil-spill scenario and to analyze the transport and behavior of marine oil spill containing PAHs with and without dispersants.Results indicate that the application of dispersant could increase the concentration of total PAHs in water column due mainly to significant increase in the concentration of highmolecular weight(HMW)PAHs at a lower removal rate.At the end of the 7-day experiment,significant amount of HMW PAHs were accumulated in sediment.In general,the application of dispersant did not increase the sediment uptake of PAHs but increased the PAHs concentration in water column.

A fast,edge-preserving,distance-regularized model with bilateral filtering for oil spill segmentation of SAR images

Marine oil spills are among the most significant sources of marine pollution.Synthetic aperture radar(SAR)has been used to improve oil spill observations because of its advantages in oil spill detection and identification.However,speckle noise,weak boundaries,and intensity inhomogeneity often exist in the oil spill regions of SAR imagery,which will seriously aff ect the accurate identification of oil spills.To enhance marine oil spill segmentation of SAR images,a fast,edge-preserving framework based on the distance-regularized level set evolution(DRLSE)model was proposed.Specifically,a bilateral filter penalty term is designed and incorporated into the DRLSE energy function(BF-DRLSE)to preserve the edges of oil spills,and an adaptive initial box boundary was selected for the DRLSE model to reduce the operation time complexity.Two sets of RadarSat-2 SAR data were used to test the proposed method.The experimental results indicate that the bilateral filtering scheme incorporated into the energy function during level set evolution improved the stability of level set evolution.Compared with other methods,the proposed improved BF-DRLSE algorithm displayed a higher overall segmentation accuracy(97.83%).In addition,using an appropriate initial box boundary for the DRLSE method accelerated the global search process,improved the accuracy of oil spill segmentation,and reduced computational time.Therefore,the results suggest that the proposed framework is eff ective and applicable for marine oil spill segmentation.

Isolation and characterization of a high-efficiency marine diesel oil-degrading bacterium

In the recent 50 years,marine oil spills had resulted in severe environmental pollution problems worldwide.In this study,12 petroleum-degrading strains named MJ1 to MJ12,which can use diesel oil as the sole carbon source for growth,were isolated from the seawater in Jiaozhou Bay,China.Strain MJ4 has the highest diesel-degrading rate which is up to 26.54%in 5 days with the diesel oil concentration of 10 g/L.According to the BLAST research,16SrRNA sequence of MJ4 showed 99%similarity to Bacillus megaterium strain.Single-factor experiments and response surface methodology were carried out to optimize the environmental factors and their reciprocal action for affecting the diesel oil degradation process of Bacillus sp.MJ4.Results of single-factor experiments revealed that the highest degradation rate was obtained with temperature of 28°C,pH of 8.8,diesel oil concentration of 25 g/L,P/N ratio of 0.56,nitrogen and phosphorus dosage quantity of 0.35 g/L and 0.18 g/L,respectively.A nonlinear regression equation of diesel oil degradation rate and pH,temperature,P/N ratio was obtained.The model predicted the maximum degradation rate of 72.21%with temperature of 28°C,pH of 8.88,P/N ratio of 0.31,respectively.

Structure and Potential Application of Konjac Glucomannan Nano Microfibril Aerogel

An ultra-light and high porosity nano microfibril aerogel was prepared from konjac glucomannan（KGM） by the electrospinning and freeze-drying. The structure of aerogel was analyzed by scanning electron microscopy（SEM） and X-ray diffraction（XRD） while the density and compressive strength of the samples were studied separately. Results reveal that porous network structure of the KGM nano microfibril aerogel is constructed by intermolecular hydrogen bonds in random and interpenetrate way. The nano microfibril structure presents in the KGM aerogel,which is an important reason of its high density and compressive strength. There is a potential application for this unique nano microfibril aerogel in the absorption of biodegradation bacteria to solve problems in marine oil spill pollution.

基于船舶自动识别系统(AIS)大数据的海上石油泄漏事故敏感源与交通密度风险分析

This study developed a new methodology for analyzing the risk level of marine spill accidents from two perspectives,namely,marine traffic density and sensitive resources.Through a case study conducted in Busan,South Korea,detailed procedures of the methodology were proposed and its scalability was confirmed.To analyze the risk from a more detailed and microscopic viewpoint,vessel routes as hazard sources were delineated on the basis of automated identification system(AIS)big data.The outliers and errors of AIS big data were removed using the density-based spatial clustering of applications with noise algorithm,and a marine traffic density map was evaluated by combining all of the gridded routes.Vulnerability of marine environment was identified on the basis of the sensitive resource map constructed by the Korea Coast Guard in a similar manner to the National Oceanic and Atmospheric Administration environmental sensitivity index approach.In this study,aquaculture sites,water intake facilities of power plants,and beach/resort areas were selected as representative indicators for each category.The vulnerability values of neighboring cells decreased according to the Euclidean distance from the resource cells.Two resulting maps were aggregated to construct a final sensitive resource and traffic density(SRTD)risk analysis map of the Busan–Ulsan sea areas.We confirmed the effectiveness of SRTD risk analysis by comparing it with the actual marine spill accident records.Results show that all of the marine spill accidents in 2018 occurred within 2 km of high-risk cells(level 6 and above).Thus,if accident management and monitoring capabilities are concentrated on high-risk cells,which account for only 6.45%of the total study area,then it is expected that it will be possible to cope with most marine spill accidents effectively.

Enhancing Coordination for Effective Management of Oil Spill Pollution in South Africa

Although multi-sectoral coordination in disaster risk management has been progressing in South Africa for over two decades,there has been limited commitment to an integrated regime in managing marine oil spill incidents.Poor incident management persists despite the availability of data,protocols,legislation,and resources housed in different government and private sector entities.This study identified practices that enhance a coordination process for the effective management of oil spill pollution.A grounded theory approach is applied to the coordination issue,which is characterized by an interactive process of simultaneously considering theoretical grounding during our empirical research.Empirical evidence includes observations of 47meetings and three oil spill exercises with 79 delegates from 32 different organizations,which supports the coordination process of instituting a national Incident Management System for marine oil spills in South Africa.An additional 44 individual open-ended questionnaires supplement this earlier body of evidence for data triangulation and validation.Analysis of development of the Incident Management System process revealed that,when designing a novel long-term project that is reliant on a shared vision from multiple organizations,enhanced coordination and collaboration for successful implementation is dependent on the following practices:(1)obtaining political commitment,(2)bridging knowledge gaps,and(3)sharing resources.