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Lee J, Park H. Prediction of the marine spreading of low sulfur fuel oil using the long short-term memory model trained with three-phase numerical simulations. MARINE POLLUTION BULLETIN 2024; 202:116356. [PMID: 38604079 DOI: 10.1016/j.marpolbul.2024.116356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 04/13/2024]
Abstract
In this study, we focus on the development and validation of a deep learning (long short-term memory, LSTM)-based algorithm to predict the accidental spreading of LSFO (low sulfur fuel oil) on the water surface. The data for the training was obtained by numerical simulations of artificial geometries with different configurations of islands and shorelines and wind speeds (2.0-8.0 m/s). For simulating the spread of oils in O(102) km scales, the volume of fluid and discrete phase models were adopted, and the kinematic variables of particle location, particle velocity, and water velocity were collected as input features for LSTM model. The predicted spreading pattern of LSFO matched well with the simulation (less than 10 % in terms of the mean absolute error for the untrained data). Finally, we applied the model to the Wakashio LSFO spill accident, considering actual geometry and weather information, which confirmed the practical feasibility of the present model.
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Affiliation(s)
- Jaebeen Lee
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyungmin Park
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea; Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Republic of Korea.
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2
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Lian Y, Gao H, Ji L, Dong S. Physically-based simulation for oil leakage and diffusion on river using heterogeneous graph attention network. Heliyon 2024; 10:e25187. [PMID: 38333816 PMCID: PMC10850527 DOI: 10.1016/j.heliyon.2024.e25187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 01/13/2024] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
Once the oil pipeline leakage accident occurs on the river, the simulation of the leakage diffusion range is of great significance for the designation of emergency rescue plans. The existing methods cannot show the precise leakage diffusion process consistent with the physical law for crude oil on the river and the simulation suffers high run-time complexity. This paper proposed a two-phase leakage simulation for oil and water combined with the physical process of smoothed particle hydrodynamics (SPH) and graph attention network. A new and efficient method-Mixture Tension Divergence-Free SPH (MTDF-SPH)-that the mixture model and the surface tension model are introduced to the divergence-free smoothed particle hydrodynamics (DFSPH) for simulating the mixing and decomposition effects of immiscible phases. To further accelerate the leakage diffusion process, we design a physics-aware heterogeneous graph attention network (PAGATNet), based on Attention Graph Network Block (AGNB) and Feature-Response Knowledge Distillation (FRKD) to enhance the network's ability for extracting the particle features of physical properties. The experimental results on different test cases show the accuracy, robustness and effectiveness of our method than those of the state-of-the-art in two-phase leakage simulation of crude oil on the river.
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Affiliation(s)
- Yuanfeng Lian
- Department of Computer Science and Technology, China University of Petroleum, Beijing, 102249, China
- Beijing Key Laboratory of Petroleum Data Mining, Beijing, 102249, China
| | - Hanzhao Gao
- Department of Computer Science and Technology, China University of Petroleum, Beijing, 102249, China
| | - Lianen Ji
- Department of Computer Science and Technology, China University of Petroleum, Beijing, 102249, China
- Beijing Key Laboratory of Petroleum Data Mining, Beijing, 102249, China
| | - Shaohua Dong
- National Engineering Laboratory for Pipeline Safety, China University of Petroleum, Beijing, 102249, China
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3
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Gurumoorthi K, Suneel V, Trinadha Rao V, Thomas AP, Alex MJ. Fate of MV Wakashio oil spill off Mauritius coast through modelling and remote sensing observations. MARINE POLLUTION BULLETIN 2021; 172:112892. [PMID: 34461372 DOI: 10.1016/j.marpolbul.2021.112892] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 08/01/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
This study aims at assessing the fate of MV Wakashio oil spill, and the driving forces responsible for possible environmental consequences of polluted coastal region. GNOME simulations were performed, considering various meteo-oceanographic forcings such as (i) winds and currents, (ii) only winds, and (iii) only winds with different diffusion coefficients, and validated with the satellite images. The results revealed that the simulations performed with 'only winds' reasonably match with the satellite observations, indicating that winds are the primary driving forces. The conducive stokes drift is an added contribution to the predominant northwestward drift of the spill. The oil budget analysis suggests that beaching and evaporation together accounted for a significant portion of the spilled oil (1000 tons), in which ~60% of the oil was accounted only for beaching. Our results depict that the diffusion coefficient of 100,000 cm2/s and 3% windages are optimal for oil-spill simulations off the southeastern Mauritius coast.
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Affiliation(s)
- K Gurumoorthi
- CSIR-National Institute of Oceanography, Dona Paula 403 004, Goa, India
| | - V Suneel
- CSIR-National Institute of Oceanography, Dona Paula 403 004, Goa, India.
| | - V Trinadha Rao
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Antony P Thomas
- CSIR-National Institute of Oceanography, Dona Paula 403 004, Goa, India
| | - M J Alex
- CSIR-National Institute of Oceanography, Dona Paula 403 004, Goa, India
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Yang Z, Chen Z, Lee K, Owens E, Boufadel MC, An C, Taylor E. Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. MARINE POLLUTION BULLETIN 2021; 167:112313. [PMID: 33839574 DOI: 10.1016/j.marpolbul.2021.112313] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 03/21/2021] [Accepted: 03/23/2021] [Indexed: 06/12/2023]
Abstract
Marine oil spills pose a significant threat to ocean and coastal ecosystems. In addition to costs incurred by response activities, an economic burden could be experienced by stakeholders dependent on coastal resources. Decision support tools for oil spill response (OSR-DSTs) have been playing an important role during oil spill response operations. This paper aims to provide an insight into the status of research on OSR-DSTs and identify future directions. Specifically, a systematic review is conducted including an examination of the advantages and limitations of currently applied and emerging decision support techniques for oil spill response. In response to elevated environmental concerns for protecting the polar ecosystem, the review includes a discussion on the use of OSR-DSTs in cold regions. Based on the analysis of information acquired, recommendations for future work on the development of OSR-DSTs to support the selection and implementation of spill response options are presented.
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Affiliation(s)
- Zhaoyang Yang
- Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada
| | - Zhi Chen
- Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada.
| | - Kenneth Lee
- Ecosystem Science, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, Ontario K1C 0E6, Canada
| | - Edward Owens
- Owens Coastal Consultants Ltd., Bainbridge Island, WA 98110, USA
| | - Michel C Boufadel
- Center for Natural Resources, Department of Civil and Environmental Engineering, Newark College of Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Chunjiang An
- Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada
| | - Elliott Taylor
- Polaris Applied Sciences, Inc., 755 Winslow Way East #302, Bainbridge Island, WA 98110, USA
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Hamdan HZ, Salam DA. Ferric iron stimulation in marine SMFCs: Impact on the microbial structure evolution in contaminated sediments with low and high molecular weight PAHs. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 280:111636. [PMID: 33218829 DOI: 10.1016/j.jenvman.2020.111636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/10/2020] [Accepted: 11/03/2020] [Indexed: 06/11/2023]
Abstract
The impact of ferric iron stimulation on the evolution of microbial structure in marine sediment microbial fuel cells (SMFCs), operated for the bioremediation of a complex mixture of low and high molecular weight PAHs (naphthalene, fluorene, pyrene and benzo(a)pyrene), was assessed. Microbial evolution profiles showed high relative abundances of exoelectrogenic iron-reducing bacteria throughout the biodegradation, namely Geoalkalibacter, under ferric iron stimulation and anode reducing conditions, irrespective of sulfate reducing bacteria (SRB) inhibition. Highest PAHs removal was measured in the absence of anode reduction, under Fe stimulation and SRB inhibition, reaching 40.85% for benzo(a)pyrene, the most persistent PAH used in this study. Results suggest that amendment of contaminated sediment with ferric iron could constitute a better bioremediation strategy than using SMFCs. This becomes significant when considering the well-established and dominant indigenous SRB population in marine sediments that usually limits the performance of the anode as a terminal electron acceptor in marine SMFCs.
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Affiliation(s)
- Hamdan Z Hamdan
- Department of Civil and Environmental Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
| | - Darine A Salam
- Department of Civil and Environmental Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
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Peng S, Chen Q, Liu E. The role of computational fluid dynamics tools on investigation of pathogen transmission: Prevention and control. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 746:142090. [PMID: 33027870 PMCID: PMC7458093 DOI: 10.1016/j.scitotenv.2020.142090] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 08/28/2020] [Accepted: 08/28/2020] [Indexed: 05/17/2023]
Abstract
Transmission mechanics of infectious pathogen in various environments are of great complexity and has always been attracting many researchers' attention. As a cost-effective and powerful method, Computational Fluid Dynamics (CFD) plays an important role in numerically solving environmental fluid mechanics. Besides, with the development of computer science, an increasing number of researchers start to analyze pathogen transmission by using CFD methods. Inspired by the impact of COVID-19, this review summarizes research works of pathogen transmission based on CFD methods with different models and algorithms. Defining the pathogen as the particle or gaseous in CFD simulation is a common method and epidemic models are used in some investigations to rise the authenticity of calculation. Although it is not so difficult to describe the physical characteristics of pathogens, how to describe the biological characteristics of it is still a big challenge in the CFD simulation. A series of investigations which analyzed pathogen transmission in different environments (hospital, teaching building, etc) demonstrated the effect of airflow on pathogen transmission and emphasized the importance of reasonable ventilation. Finally, this review presented three advanced methods: LBM method, Porous Media method, and Web-based forecasting method. Although CFD methods mentioned in this review may not alleviate the current pandemic situation, it helps researchers realize the transmission mechanisms of pathogens like viruses and bacteria and provides guidelines for reducing infection risk in epidemic or pandemic situations.
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Affiliation(s)
- Shanbi Peng
- School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China
| | - Qikun Chen
- School of Engineering, Cardiff University, CF24 0DE, UK.
| | - Enbin Liu
- School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China
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Hamdan HZ, Salam DA. Response of sediment microbial communities to crude oil contamination in marine sediment microbial fuel cells under ferric iron stimulation. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114658. [PMID: 33618484 DOI: 10.1016/j.envpol.2020.114658] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 04/22/2020] [Accepted: 04/22/2020] [Indexed: 06/12/2023]
Abstract
In this study, response of the microbial communities associated with the bioremediation of crude oil contaminated marine sediments was addressed using sediment microbial fuel cells (SMFCs). Crude oil was spiked into marine sediments at 1 g/kg of dry sediment to simulate a heavily contaminated marine environment. Conventional SMFCs were used with carbon fiber brushes as the electrode components and were enhanced with ferric iron to stimulate electrochemically active bacteria. Controls were operated under open circuit with and without ferric iron stimulation, with the latter condition simulating natural attenuation. Crude oil removal in the Fe enhanced SMFCs reached 22.0 ± 5.5% and was comparable to the measured removal in the control treatments (19.2 ± 7.4% in natural attenuation SMFCs and 15.2 ± 2.7% in Fe stimulated open circuit SMFCs), indicating no major enhancement to biodegradation under the applied experimental conditions. The low removal efficiency could be due to limitations in the mass transfer of the electron donor to the microbes and the anodes. The microbial community structure showed similarity between the iron stimulated SMFCs operated under the open and closed circuit. Natural attenuation SMFCs showed a unique profile. All SMFCs showed high relative abundances of hydrocarbon degrading bacteria rather than anode reducers, such as Marinobacter and Arthrobacter in the case of the natural attenuation SMFCs, and Gordonia in the case of iron stimulated SMFCs. This indicated that the microbial structure during the bioremediation process was mainly determined by the presence of petroleum contamination and to a lesser extent the presence of the ferric iron, with no major involvement of the anode as a terminal electron acceptor. Under the adopted experimental conditions, the absence of electrochemically active microbes throughout the biodegradation process indicates that the use of SMFCs in crude oil bioremediation is not a successful approach. Further studies are required to optimize SMFCs systems for this aim.
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Affiliation(s)
- Hamdan Z Hamdan
- Department of Civil and Environmental Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon
| | - Darine A Salam
- Department of Civil and Environmental Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
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Hamdan HZ, Salam DA, Hari AR, Semerjian L, Saikaly P. Assessment of the performance of SMFCs in the bioremediation of PAHs in contaminated marine sediments under different redox conditions and analysis of the associated microbial communities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 575:1453-1461. [PMID: 27720249 DOI: 10.1016/j.scitotenv.2016.09.232] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 09/17/2016] [Accepted: 09/30/2016] [Indexed: 06/06/2023]
Abstract
The biodegradation of naphthalene, 2-methylnaphthalene and phenanthrene was evaluated in marine sediment microbial fuel cells (SMFCs) under different biodegradation conditions, including sulfate reduction as a major biodegradation pathway, employment of anode as terminal electron acceptor (TEA) under inhibited sulfate reducing bacteria activity, and combined sulfate and anode usage as electron acceptors. A significant removal of naphthalene and 2-methylnaphthalene was observed at early stages of incubation in all treatments and was attributed to their high volatility. In the case of phenanthrene, a significant removal (93.83±1.68%) was measured in the closed circuit SMFCs with the anode acting as the main TEA and under combined anode and sulfate reduction conditions (88.51±1.3%). A much lower removal (40.37±3.24%) was achieved in the open circuit SMFCs operating with sulfate reduction as a major biodegradation pathway. Analysis of the anodic bacterial community using 16S rRNA gene pyrosequencing revealed the enrichment of genera with potential exoelectrogenic capability, namely Geoalkalibacter and Desulfuromonas, on the anode of the closed circuit SMFCs under inhibited SRB activity, while they were not detected on the anode of open circuit SMFCs. These results demonstrate the role of the anode in enhancing PAHs biodegradation in contaminated marine sediments and suggest a higher system efficiency in the absence of competition between microbial redox processes (under SRB inhibition), namely due to the anode enrichment with exoelectrogenic bacteria, which is a more energetically favorable mechanism for PAHs oxidation than sulfate.
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Affiliation(s)
- Hamdan Z Hamdan
- Department of Civil and Environmental Engineering, Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon
| | - Darine A Salam
- Department of Civil and Environmental Engineering, Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
| | - Ananda Rao Hari
- Division of Biological and Environmental Sciences and Engineering, Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Lucy Semerjian
- Department of Environmental Health Sciences, College of Health Sciences, University of Sharjah, Sharjah, UAE
| | - Pascal Saikaly
- Division of Biological and Environmental Sciences and Engineering, Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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Zhu X, Chen D, Wu G. Molecular dynamic simulation of asphaltene co-aggregation with humic acid during oil spill. CHEMOSPHERE 2015; 138:412-421. [PMID: 26149857 DOI: 10.1016/j.chemosphere.2015.06.074] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2015] [Revised: 06/12/2015] [Accepted: 06/22/2015] [Indexed: 06/04/2023]
Abstract
Humic acid in water and sediment plays a key role in the fate and transport of the spilled oil, but little is known about its influence on the aggregation of heavy oil asphaltenes which is adverse for remediation. Molecular dynamic simulation was performed to characterize the co-aggregation of asphaltenes (continental model and Violanthrone-79 model) with Leonardite humic acid (LHA) at the toluene-water interface and in bulk water, respectively, to simulate the transport of asphaltenes from oil to water. At the toluene-water interface, a LHA layer tended to form and bind to the water by hydrogen bonding which provided a surface for the accumulation of asphaltenes by parallel or T-shape stacking. After entering the bulk water, asphaltene aggregates stacked in parallel were tightly sequestrated inside the inner cavity of LHA aggregates following surface adsorption and structure deformation. Asphaltene aggregation in water was 2-fold higher than at the toluene-water interface. The presence of LHA increased the intensity of asphaltene aggregation by up to 83% in bulk water while relatively less influence was observed at the toluene-water interface. Overall results suggested that the co-aggregation of asphaltene with humic acid should be incorporated to the current oil spill models for better interpreting the overall environmental risks of oil spill.
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Affiliation(s)
- Xinzhe Zhu
- Shenzhen Key Laboratory for Coastal Ocean Dynamic and Environment, Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; School of Environment, Tsinghua University, Beijing 100084, China
| | - Daoyi Chen
- Shenzhen Key Laboratory for Coastal Ocean Dynamic and Environment, Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
| | - Guozhong Wu
- Shenzhen Key Laboratory for Coastal Ocean Dynamic and Environment, Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China.
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