Article
Environmental Sciences
Mary Jacketti, James D. Englehardt, C. J. Beegle-Krause
Summary: This study expanded the multi-modal Bayesian inferential sunken oil model SOSim, which can infer the location and trajectory of sunken oil using field concentration data and incorporating bathymetry and the Coriolis Effect. Results from analyzing Gulf of Mexico oil spill data suggest that the inferential approach presented can be effective for modeling relatively slow-moving pollutant masses such as sunken oil when field concentration data are available.
MARINE POLLUTION BULLETIN
(2021)
Article
Environmental Sciences
Tanmoy Das, Floris Goerlandt
Summary: This article proposes a method for ranking oil response technologies in Arctic oil spill risk assessment and preparedness planning. By considering factors such as ice covered sea areas, cold weather, and spill volume, the proposed model efficiently selects the best available technique using preference learning based Bayesian inference modeling. This model is suitable for strategic risk assessments in marine pollution preparedness and response planning.
MARINE POLLUTION BULLETIN
(2022)
Article
Environmental Sciences
K. Gurumoorthi, V Suneel, V. Trinadha Rao, Antony P. Thomas, M. J. Alex
Summary: The study assessed the fate of the MV Wakashio oil spill and identified winds as the primary driving force of the spill's drift. Stokes drift contributed to the spill drifting towards the northwest. The majority of the spilled oil was accounted for by beaching and evaporation.
MARINE POLLUTION BULLETIN
(2021)
Review
Chemistry, Multidisciplinary
Zheng Wang, Chunjiang An, Kenneth Lee, Edward Owens, Zhi Chen, Michel Boufadel, Elliott Taylor, Qi Feng
Summary: Accidental oil spills in the ocean can harm shoreline ecosystems to varying degrees, depending on the physicochemical properties of the spilled oil. The behavior of oil on shorelines is influenced by processes such as evaporation, photooxidation, partition, and aggregation. The penetration, remobilization, and retention of oil on shorelines are influenced by beach topography and the natural environment.
ENVIRONMENTAL CHEMISTRY LETTERS
(2021)
Article
Environmental Sciences
Chao Ji, James D. Englehardt, C. J. Beegle-Krause
Summary: This study presents a new inferential modeling approach based on a Bayesian model to locate and predict the movement of submerged oil in the deep sea, with novel aspects including generating 3-D results from data in the 2-D density space of the isopycnal layer containing oil. The model appears complimentary to deterministic methods when field concentration data are available, and has been demonstrated using data collected following the Deepwater Horizon spill.
MARINE POLLUTION BULLETIN
(2021)
Article
Engineering, Environmental
Min Yang, Baiyu Zhang, Xiujuan Chen, Qiao Kang, Boyang Gao, Kenneth Lee, Bing Chen
Summary: This study investigated the transport of microplastic-oil-dispersant agglomerates (MODAs) in a simulated ocean system and explored related mechanisms under different conditions. It was found that heavy oil-formed MODAs mainly stayed at the seawater surface, while light oil-formed MODAs were distributed throughout the seawater column. Increased salinity promoted the transport of certain MODAs, and minerals facilitated the sinking of large microplastic-formed MODAs. The study proposed a MODA-mineral system and recommended Rubey's equation for predicting sinking velocity.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Daniel Constantino Zacharias, Carine Malagolini Gama, Adalgiza Fornaro
Summary: In 2019-2020, a mysterious oil spill reached a large part of the Brazilian coast. Using the STFM model, the study estimated the initial volume of the spill to be between 5000-12500m(3). This may have been the largest oil spill on the Brazilian coast since 2004, causing institutional and socioeconomic crisis due to poor management of public resources.
MARINE POLLUTION BULLETIN
(2021)
Article
Environmental Sciences
Deborah P. French-McCay, Malcolm L. Spaulding, Deborah Crowley, Daniel Mendelsohn, Jeremy Fontenault, Matthew Horn
Summary: Modeling was used to analyze the trajectory and fate of oil released during the Deepwater Horizon blowout, with results closely matching estimates from remote sensing data, indicating reliability in evaluating environmental exposure in the water column and at the water surface.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Geochemistry & Geophysics
Sima Mousavi, Hrvoje Tkalcic, Rhys Hawkins, Malcolm Sambridge
Summary: The core-mantle boundary is the most extreme boundary within the Earth, and the nature of the lowermost mantle and its role in mantle dynamics are not completely understood. While there is some consensus, differences in imaging methods and datasets can lead to significant variations in interpretations.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Review
Ecology
Uta Passow, Edward B. Overton
Summary: The Deepwater Horizon oil spill was the largest and deepest oil accident in US waters, with significant impacts on the marine ecosystem. The released oil underwent various mechanisms, including biodegradation, to transform and disperse, with some sedimenting onto the seafloor. Further research efforts have greatly increased our understanding of the fate of spilled oil, focusing on factors such as photooxidation, microbial communities, and marine oil snow formation.
ANNUAL REVIEW OF MARINE SCIENCE, VOL 13, 2021
(2021)
Article
Environmental Sciences
Ophelia Gestin, Thomas Lacoue-Labarthe, Marina Coquery, Nicolas Delorme, Laura Garnero, Lysiane Dherret, Theo Ciccia, Olivier Geffard, Christelle Lopes
Summary: The study found that G. fossarum efficiently takes up Cd and eliminates it more rapidly compared to the mussel M. galloprovincialis. The organs that accumulate and depurate the most concentrations of both metals are the caeca and intestine. The one-compartment TK model is most relevant for Hg, while the multi-compartments TK model fits Cd data better, demonstrating dynamic transfer of Cd among organs.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Engineering, Industrial
Haoyuan Shen, Yizhong Ma, Chenglong Lin, Jian Zhou, Lijun Liu
Summary: This paper proposes a hierarchical Bayesian support vector regression (HBSVR) model for dynamic high-dimensional reliability modeling, which combines the step-size adaptive accelerated Markov Chain Monte Carlo (SAA-MCMC) method with Sequential Minimal Optimization (SMO) for parameter calibration and dynamic update. The HBSVR model is further improved by applying an active learning algorithm to continuously improve model accuracy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Environmental Sciences
Deborah P. French-McCay, Matthew Frediani, Melissa D. Gloekler
Summary: Water-in-oil emulsification affects the fate and exposure of spilled oil by increasing its viscosity. The increase in viscosity prolongs floating oil exposure and makes it more likely to come ashore. Emulsification also restricts entrainment and slows evaporation, while increasing dissolved concentrations in the water column.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Abdul-Lateef Balogun, Shamsudeen Temitope Yekeen, Biswajeet Pradhan, Khamaruzaman B. Wan Yusof
Summary: This study developed an oil spill environmental vulnerability model to predict and map the oil slick trajectory pattern in Kota Tinggi, Malaysia. It found that seasonal variations significantly influence the vulnerability of coastal resources to marine oil spill, with significant impacts during the southwest monsoon period. The study also identified evaporation, floating, and spreading as major weathering processes of oil slick.
ENVIRONMENTAL POLLUTION
(2021)
Article
Genetics & Heredity
Maria Lie Selle, Ingelin Steinsland, Finn Lindgren, Vladimir Brajkovic, Vlatka Cubric-Curik, Gregor Gorjanc
Summary: The study presents a hierarchical haplotype network model that estimates haplotype effects based on phylogenetic relationships, improving estimation compared to an independent haplotype model, especially for specific haplotypes with few observations. By utilizing hierarchical autoregression to model information flow between similar haplotypes, the model shows potential to capture background specific effects and performs comparably to a mutation model. Demonstrated with a study on mitochondrial haplotype effects on milk yield in cattle, the model is provided with R code for fitting using the INLA package.
FRONTIERS IN GENETICS
(2021)
Review
Green & Sustainable Science & Technology
Sumit Kumar, Til Baalisampang, Ehsan Arzaghi, Vikram Garaniya, Rouzbeh Abbassi, Fatemeh Salehi
Summary: Offshore industries are seeking cleaner energy solutions to achieve decarbonization and reach net-zero targets. Green hydrogen has the potential to decarbonize these industries. However, there is limited understanding of the opportunities and challenges presented by the green hydrogen industry in offshore systems and technologies. This study provides an overview of the offshore industries, analyzes the benefits and limitations of integrating offshore renewable energy systems with other industries, and identifies knowledge gaps and research opportunities for green hydrogen in symbiosis with aquaculture, shipping and port, and oil and gas industries.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Marine
Mohammad Yazdi, Faisal Khan, Rouzbeh Abbassi
Summary: Microbiologically Influenced Corrosion (MIC) poses a significant challenge to offshore oil and gas facilities, leading to pinholes and leaks. Preventive (coatings, cathodic protection) and mitigative (inhibitor and biocide treatment) actions are crucial for pipeline integrity management. A multi-objective functional methodology involving dynamic continuous Bayesian network modeling and a genetic algorithm is proposed to minimize operational risks associated with MIC.
Article
Engineering, Industrial
Vindex Domeh, Francis Obeng, Faisal Khan, Neil Bose, Elizabeth Sanli
Summary: Probabilistic safety assessment using the Bayesian network (BN) is a popular method for developing risk analysis tools. However, the subjectivity introduced by using subject-matter experts in eliciting probabilities for conditional probability tables (CPTs) decreases the reliability of the resulting tool. To address this issue, a probability-scoring scale was proposed to assign probabilities to CPTs, ensuring consistent results among different experts. The scale was applied to a BN-based risk -awareness (RAw) tool for monitoring safety aboard small fishing vessels (SFV), benefiting SFV owners and operators, the commercial fishing industry, and maritime administrations.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Public, Environmental & Occupational Health
Mohammad Zaid Kamil, Mohammed Taleb-Berrouane, Faisal Khan, Paul Amyotte, Salim Ahmed
Summary: Underlying information about failure in free text can be used to determine causation in risk assessment. Advanced methodology is needed to identify the features in natural language expression. This study addresses the knowledge gap by extracting relevant features from textual data to develop cause-effect scenarios. The proposed methodology applies natural language processing and text-mining techniques to extract features and utilizes them in Bayesian networks for risk assessment.
Article
Engineering, Industrial
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Summary: This paper proposes a systematic approach to studying the performance shaping factors of complex sociotechnical systems. By developing a performance shaping factors taxonomy, applying interval-valued spherical fuzzy sets and the best worst method, the importance of performance can be quantified. The model's capability is tested in maintenance operations in chemical process plants.
Article
Engineering, Marine
Adhitya Ramadhani, Faisal Khan, Bruce Colbourne, Salim Ahmed, Mohammed Taleb-Berrouane
Summary: Offshore structures such as oil platforms are affected by significant environmental loads. The complexity of the offshore environment requires robust models to capture the dependencies among environmental variables. Vine copula models, using both symmetric and asymmetric copula functions, are shown to provide a better estimation of the total environmental load on offshore structures compared to traditional methods. The results have implications for probabilistic structural analysis and design of offshore structures.
Article
Engineering, Environmental
Mohammad Alauddin, Faisal Khan, Syed Imtiaz, Salim Ahmed, Paul Amyotte
Summary: Data-driven models require high-fidelity data, but obtaining such data is challenging in complex chemical processing systems due to various factors. This work proposes a process dynamics-guided neural network (PDNN) model that incorporates process knowledge and improves generalization capabilities in sparse and low-quality data.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Environmental
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Summary: Human factors analysis has been explored from various aspects, but conventional techniques are incapable of addressing the challenges posed by emerging sociotechnical systems and AI-driven systems. This work reviewed the integration of artificial intelligence and expert systems into HFA, specifically focusing on machine learning, deep learning, and knowledge/data-driven modeling approaches. The study investigated the applications, contributions, challenges, and research gaps of HFA in complex systems, highlighting important concerns and the need for advanced approaches.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Environmental
Sumit Kumar, Ehsan Arzaghi, Til Baalisampang, Vikram Garaniya, Rouzbeh Abbassi
Summary: Green hydrogen has the potential to play a crucial role in a resilient and sustainable future, but challenges such as high costs and safety concerns need to be addressed. Offshore renewables offer a promising solution, with their decreasing costs and technological advances allowing for cost-competitive green hydrogen production. The offshore industrial sector, including oil and gas, aquaculture, and shipping, could serve as a substantial market and support the production, storage, and transmission of green hydrogen. This study provides critical insights into the key factors governing decision-making in offshore green hydrogen systems and offers guidance for site selection in uncertain and hazardous ocean environments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Chemical
Yanfu Wang, Tao Wang, Chen Wang, Faisal Khan
Summary: A computational fluid dynamics technique is used to model large-scale pool fires and investigate the effects of wind load and windshields. The impact on personnel is evaluated based on thermal radiation dose. It is discovered that the growing horizontal momentum of the wind load may result in fatal injury at a significant distance. Windshields have both positive and negative effects on large-scale pool fires by reducing injury distance and potentially blocking heat and smoke release. Different fire scenarios should be considered when installing windshields on offshore platforms.
PROCESS SAFETY PROGRESS
(2023)
Article
Engineering, Industrial
Uyen Dao, Zaman Sajid, Faisal Khan, Yahui Zhang, Trung Tran
Summary: Internal corrosion is a complex phenomenon that includes various corrosion mechanisms. A Dynamic Object-Oriented Bayesian network (DOOBN) model is developed to study the interactions of risk factors and assess the failure likelihood of pipelines. The model shows high accuracy in predicting the occurrence of under-deposit corrosion (UDC) and microbially influenced corrosion (MIC).
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Chemistry, Multidisciplinary
Mohammad Asif, Faisal Khan, Kelly Hawboldt, Shams Anwar
Summary: This work uses density functional theory to investigate the mechanism of H2S adsorption/dissociation on the Cr-doped Fe(100) surface. It is found that H2S is weakly adsorbed on Cr-doped Fe, but the dissociated products are strongly chemisorbed. The dissociation of HS is more favorable on Fe compared to Cr-doped Fe. This study also reveals that H2S dissociation is a kinetically facile process and hydrogen diffusion follows a tortuous path. It contributes to a better understanding of sulfide corrosion mechanism and its impact, thus aiding the design of efficient corrosion prevention coatings.
Article
Engineering, Chemical
Stewart W. Behie, Hans J. Pasman, Syeda Zohra Halim, Kathy Shell, Ahmed Hamdy El-Kady, Faisal Khan
Summary: This article discusses the importance of safety systems in high-risk businesses and the necessity of long-term impact for cross-functional programs. The article also emphasizes the core principles and beliefs needed to make necessary adjustments and ensure continued success in all circumstances.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Marine
Vindex Domeh, Francis Obeng, Faisal Khan, Neil Bose, Elizabeth Sanli
Summary: A quantitative risk analysis approach is proposed to develop a tool for studying loss of stability aboard small fishing vessels. The tool, which incorporates Bayesian network and De Morgan gates, provides a probabilistic assessment of the risk factors responsible for loss of stability occurrence. It is an innovative tool that can proactively ensure the stability of small fishing vessels.
Article
Engineering, Industrial
Md. Tanjin Amin, Giordano Emrys Scarponi, Valerio Cozzani, Faisal Khan
Summary: This article examines the effectiveness and accuracy of threshold-based and probit-based methods in assessing domino effects. The results indicate that threshold-based methods are not suitable for quantitative assessment, and there are limitations in probit-based methods for time-dependent domino effect assessment. By utilizing site-specific structural response data and data analytics, a new improved time to failure prediction model is proposed, which demonstrates better performance compared to existing models.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Environmental
Xingxing Hu, Lingjie Liu, Yanmeng Bi, Lu Li, Chunsheng Qiu, Jingjie Yu, Shaopo Wang
Summary: In this study, the impact of exogenous folate on the start-up process of single-stage partial nitritation-anammox (SPNA) was evaluated using two lab-scale reactors. The results showed that folate addition can enhance nitrogen removal rate, extracellular polymeric substances production, hydrazine oxidase and dehydrogenase activity, as well as the relative abundance of Candidatus Brocadia.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Shaocang He, Tingting Shen, Jing Sun, Haoqi Pan, Chenxu Sun, Tianpeng Li, Runyao Li, Enshan Zhang
Summary: A novel process of acid leaching neutralization was developed for the preparation of inorganic polymeric composite ferric aluminum silicate coagulant (CFAS) using solid waste coal gasification coarse slag (CGCS). The optimized preparation process was determined through single-factor experiment and the performance of CFAS was evaluated for domestic sewage treatment. The results showed that CFAS exhibited excellent coagulation ability and achieved significant removal efficiency for turbidity, ammonia nitrogen, and chemical oxygen demand.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kinga Szatmari, Sandor Nemeth, Alex Kummer
Summary: In this article, a resilience-based reinforcement learning approach is proposed to address the potential thermal runaway issue in batch reactors. By calculating the resilience metric for reactors and utilizing Deep Q-learning to decide when to intervene in the system, resilient-based mitigation systems can be effectively developed.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingyou Jiang, Qi Yao, Mingqing Su, Jingjing Li, Kunlun Lu, Dawei Ding, Han Hong
Summary: This study investigates the inhibitory characteristics and mechanisms of ABC powder on coal powder explosion. The addition of ABC powder significantly decreases the maximum explosion pressure and can completely suppress coal dust explosions. The study also reveals the thermal decomposition characteristics and reaction kinetics of the mixed system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kubilay Bayramoglu, Mustafa Nuran
Summary: This study examines the feasibility of using pyrolytic oil from waste tires as fuel in diesel engines, and evaluates its energy, exergy, and sustainability. The results indicate that pyrolytic oil has potential as a renewable fuel source with relatively high thermal efficiency.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Xinru Duan, Yejia Lv, Jiaxing Hong, Jianzhong Wu, Jia Zhang, Yang Yue, Guangren Qian
Summary: This study successfully prepared a tube reactor with optimized catalyst formula, which showed good performance in removing dioxins and other pollutants in the experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Jiaoyang Du, Xueming Dang, Xiaorong Gan, Xin Cui, Huimin Zhao
Summary: In this study, a photocatalyst-enzyme hybrid system was constructed, which solved the issue of enzyme inactivation caused by high concentration of H2O2 through photocatalytic in-situ H2O2 production, and improved the stability and catalytic efficiency of the enzyme. The effectiveness of the system in treating phenolic EDCs was confirmed through experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Fu-Rong Xiu, Longsheng Zhan, Yingying Qi, Xinyue Lei, Jiali Wang, Haipeng Zhou, Wenting Shao
Summary: This study developed a synergetic and high-efficiency treatment of waste tantalum capacitors (WTCs) and polyvinyl chloride (PVC) using subcritical water process. The treatment significantly reduced the temperature and reaction time for metal tantalum recovery from WTCs, and improved the dechlorination efficiency of PVC. The optimized conditions resulted in 100% resin conversion efficiency of WTCs and 97.39% dechlorination efficiency of PVC. The interaction between decomposition products of WTCs and PVC produced a high level of benzoic acid.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingda Li, Jiaming Song, Yuting Li, Chaoying Meng, Shuxian Wang, Linghao Zong, Honggang Ye, Yishuai Jing, Feng Teng, Peng Hu, Haibo Fan, Guangde Chen, Xin Zhao
Summary: CdPS3 nanosheets, especially those exfoliated by sodium cholate, have shown highly efficient photocatalytic degradation performance. The strong dark adsorption and dye-sensitized photocatalytic properties of CdPS3 nanosheets contribute to high degradation efficiencies of various pollutants.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Dongxu Ouyang, Yimei Pang, Bo Liu, Zhirong Wang
Summary: This study investigates the thermal runaway features of lithium-ion cells under tunnel conditions, considering different states of charge and tunnel ceilings. The results show that the tunnel visibility is affected by the smoke generated during thermal runaway, and the shape of the tunnel ceiling influences the temperature rise differently.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
