Article
Construction & Building Technology
Jitao Cai, Jiansong Wu, Shuaiqi Yuan, Desheng Kong, Xiaole Zhang
Summary: This study proposes a three-dimensional source term estimation (3D-STE) model using computational fluid dynamics (CFD) and ensemble Kalman filter (EnKF) algorithm to predict gas concentration and estimate gas leakage sources. The model is validated through a twin experiment, showing its effectiveness and practicality.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Mechanics
Zhiwen Deng, Chuangxin He, Yingzheng Liu
Summary: This paper focuses on the optimal sensor placement strategy based on a deep neural network for turbulent flow recovery within the data assimilation framework of the ensemble Kalman filter. The results demonstrate the effectiveness and robustness of the proposed strategy, showing that RANS models with EnKF augmentation were substantially improved over their original counterparts. The study concludes that the DNN-based OSP with the selection of the five most sensitive sensors can efficiently reduce the number of sensors while achieving similar or better assimilated performance.
Article
Mathematics, Applied
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott
Summary: This study discusses the forecasting of chaotic dynamical systems using noisy partial measurements data, with a focus on combining machine learning with knowledge-based models to improve predictions. By assimilating synthetic data and training machine learning models with partial measurements, it shows potential to correct imperfections in knowledge-based models and improve forecasting accuracy.
Article
Engineering, Marine
Shaokun Deng, Zheqi Shen, Shengli Chen, Renxi Wang
Summary: The initial ensemble has an impact on the performance of ensemble-based assimilation techniques. The differences in the initial ensemble affect the convergence rate of assimilation, but all experiments eventually reach convergence. Sea surface height and sea surface salinity are more sensitive to the initial ensemble. The white-noise perturbation scheme has the largest effect, and the influence of different initial ensembles on sea surface height is concentrated in the region of the Antarctic Circumpolar Current.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Meteorology & Atmospheric Sciences
Eviatar Bach, Michael Ghil
Summary: Data assimilation aims to optimally combine partial and noisy model forecasts and observations. Multi-model data assimilation generalizes the variational or Bayesian formulation of the Kalman filter and is proven to be the minimum variance linear unbiased estimator. In this study, a multi-model ensemble Kalman filter (MM-EnKF) based on this framework is formulated and implemented. The MM-EnKF can combine multiple model ensembles for both data assimilation and forecasting in a flow-dependent manner by providing adaptive model error estimation and matrix-valued weights for the separate models and observations. Numerical experiments using the Lorenz96 model show that the MM-EnKF results in significant error reductions compared to the best model and an unweighted multi-model ensemble in terms of probabilistic and deterministic metrics.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Energy & Fuels
Xiangyu Kong, Wenling Jiao, Weidong Xiang, Qiang Wang, Jiaolong Cao, Lianfu Han
Summary: This paper investigates high-risk scenarios such as hose ruptures and valve joint leakages on LNG bunker vessels. Using FLACS software, the consequences of LNG leakage accidents during simultaneous operation with a container carrier were simulated, and the dispersion range of the combustible vapor cloud was quantitatively analyzed. The results provide important technical guidance and reference values for the safe operation of LNG bunker vessels.
Article
Astronomy & Astrophysics
Angelica M. Castillo Tibocha, Jana de Wiljes, Yuri Y. Shprits, Nikita A. Aseev
Summary: This study applies ensemble Kalman filter for data assimilation in the radiation belts, developing two new methods and validating their accuracy. The use of split-operator technique allows inclusion of more physical processes in simulations and improves computational efficiency.
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS
(2021)
Article
Meteorology & Atmospheric Sciences
Troy Arcomano, Istvan Szunyogh, Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Edward Ott
Summary: This paper describes the implementation of a combined hybrid-parallel prediction approach on a low-resolution atmospheric global circulation model. The hybrid model, which combines a physics-based numerical model with a machine learning component, produces more accurate forecasts for various atmospheric variables compared to the host model. Furthermore, the hybrid model exhibits smaller systematic errors and more realistic temporal variability in simulating the climate.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Construction & Building Technology
Runmin Zhao, Sumei Liu, Junjie Lie, Nan Jiang, Qingyan Chen
Summary: This study compared six k-epsilon based turbulence models calibrated using the ensemble Kalman filtering approach. The results showed that prioritizing the reproduction of reattachment lengths in the optimization objective improved the accuracy of the models in capturing key features. The calibrated models exhibited different levels of generalizability in different test cases, with the Murakami-Mochida-Kondo k-epsilon model showing strong potential for single-building problems.
BUILDING AND ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Lili Lei, Yangjinxi Ge, Zhe-Min Tan, Yi Zhang, Kekuan Chu, Xin Qiu, Qifeng Qian
Summary: This study evaluates the ensemble Kalman filter (EnKF) combined with the Advanced Research Weather Research and Forecasting model (WRF) for western North Pacific typhoons in 2016. The results show that the WRF/EnKF system provides better ensemble forecasts and higher predictability for typhoon intensity compared to NCEP and ECMWF ensemble forecasts.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
M. A. Gonzalez-Cagigal, J. A. Rosendo-Macias, A. Gomez-Exposito
Summary: This research presents a state estimation approach using Kalman filtering to identify the phase to which single-phase customers are connected in three-phase distribution grids. The study compares different nonlinear formulations of the Kalman filter and shows that the ensemble Kalman filter provides better estimation results as the system size increases. The accuracy, robustness, and limitations of the estimator are also tested with consideration of measurement errors.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Marine
Haris Nubli, Jung Min Sohn
Summary: Investigating the environmental impacts of fuel leakage in LNG-powered ships during the early design stages is crucial. Using computational fluid dynamics and probabilistic methods, this study establishes a critical zone for natural gas dispersion and finds that leak size and wind speed have a significant influence on its size.
SHIPS AND OFFSHORE STRUCTURES
(2022)
Article
Mathematics, Applied
Theresa Lange
Summary: This paper provides a rigorous derivation of the ensemble Kalman-Bucy filter and the ensemble transform Kalman-Bucy filter in the case of nonlinear, unbounded model and observation operators. It also establishes convergence rates in terms of the discretisation step size. The paper simultaneously establishes the well-posedness and accuracy of both the continuous-time and the discrete-time filtering algorithms.
Article
Meteorology & Atmospheric Sciences
Elias D. Nino-Ruiz, Randy S. Consuegra S. Ortega, Magdalena Lucini
Summary: This paper presents the efficient and practical implementation of sequential data assimilation methods for the SPEEDY Model into climate prediction. The computational implementation of SPEEDY blends the time integrator and the spatial discretization to accelerate algebraic computations. Augmented vector states are used to propagate analysis innovations from positions to velocities.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Water Resources
Andrew Pensoneault, Witold F. Krajewski, Nicolas Velasquez, Xueyu Zhu, Ricardo Mantilla
Summary: This paper discusses the application of data assimilation techniques in hydrology, focusing on the potential of EnKF and its extensions in sequential state estimation and Bayesian inverse problems. The authors improve the streamflow in a virtual catchment using the EKI algorithm and demonstrate its favorable performance.
ADVANCES IN WATER RESOURCES
(2023)
Article
Environmental Sciences
Huan Liu, Zhichao Hu, Meng Zhou, Hao Zhang, Xiaole Zhang, Yang Yue, Xiangwu Yao, Jing Wang, Chuanwu Xi, Ping Zheng, Xiangyang Xu, Baolan Hu
Summary: This study reveals the potential pathway of airborne bacteria in biogeochemical cycling and their correlation with PM2.5 composition. The concentration of PM2.5 plays a crucial role in bacterial metabolism and the distribution of functional genera.
ENVIRONMENTAL POLLUTION
(2022)
Article
Chemistry, Analytical
Jiukai Tang, Yingchao Meng, Leonard Bezinge, Guangyu Qiu, Yang Yue, Xiaole Zhang, Jing Wang
Summary: Colorimetric immunoassay using a cellulose acetate membrane for target enrichment and immunodetection has been developed in this study, achieving improved detection performance and potential for low-cost and easy-to-use immunodetection systems. The use of a compact multichannel filtration device fabricated with a 3D printer significantly minimized background effects of the membrane and reduced reagents consumption, showcasing two orders of magnitude greater sensitivity than standard protocol on 96-well plates.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Review
Engineering, Industrial
Shuaiqi Yuan, Ming Yang, Genserik Reniers, Chao Chen, Jiansong Wu
Summary: This paper provides an overview of the development of safety barriers in chemical plants, including their definition, classification, evaluation, and management. It proposes a practical classification of safety barriers and extends their functions using the concept of resilience. Performance assessment criteria are suggested, and the management of safety barriers is discussed. A roadmap for future studies to develop integrated management of safety and security barriers for chemical plants is also provided.
Article
Environmental Sciences
Xiaoxiao Feng, Xiaole Zhang, Jing Wang
Summary: This study developed a method to update the SO2 emission inventory in Chongqing, which is useful for evaluating the SO2 pollution and designing effective emission reduction policies. The updated emission inventory was estimated by integrating the a priori knowledge of the baseline emissions and the current observations using Bayesian inference. The adjustment of the emissions improved the accuracy in predicting SO2 concentrations with the developed method.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Engineering, Environmental
Shuaiqi Yuan, Genserik Reniers, Ming Yang, Yiping Bai
Summary: Chemical plants are exposed to safety hazards and security threats, which can lead to catastrophic incidents. Managing safety and security barriers effectively and economically is crucial for cost-effective maintenance. This study proposes a novel approach to optimize safety and security barrier maintenance strategy considering economic constraints.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Environmental Sciences
Xiaole Zhang, Xiaoxiao Feng, Jie Tian, Yong Zhang, Zhiyu Li, Qiyuan Wang, Junji Cao, Jing Wang
Summary: Millions of premature mortalities are caused by PM2.5 air pollution globally each year. To address this issue, the researchers updated the emission inventories and harmonized the results from source-oriented and receptor models, finding a significant reduction in pollutant emissions in Beijing and successfully identifying temporal changes during the Spring Festival.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Engineering, Environmental
Yuanyuan Xu, Genserik Reniers, Ming Yang, Shuaiqi Yuan, Chao Chen
Summary: This paper reviews the literature on quantitative risk assessment (QRA) of domino accidents in the chemical process industries. The sources of uncertainty in risk assessment of domino effects are identified and categorized. The current methodologies and approaches for handling various uncertainties in QRA related to domino effects are reviewed. This study provides insights into the uncertainty fundamentals and the current status of uncertainty handling in QRA of domino effects, and promotes the development of new approaches for handling uncertainty in domino accident analysis.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Environmental Sciences
V. Agarwal, Y. Yue, X. Zhang, X. Feng, Y. Tao, J. Wang
Summary: Antimicrobial resistance is a serious problem, and animal farms are a major hotspot for AMR. The study found that ARGs and MGEs in the air of a cattle farm mainly originated from cow manure, and farm workers may be at risk of infection with resistant bacteria and respiratory issues.
ENVIRONMENTAL POLLUTION
(2023)
Article
Engineering, Chemical
Xing-lin Chen, Wei-Dong Lin, Chun-Xiang Liu, Fu-Qiang Yang, Yong Guo, Xin Li, Shuai-Qi Yuan, Genserik Reniers
Summary: Natural gas pipeline construction is growing rapidly worldwide, but leakage accidents are frequent and cause significant losses. However, there are few models to describe and assess the consequences of these accidents. This study proposes a comprehensive risk analysis model, called EDIB model, to analyze the evolution process of leakage accidents and conduct probabilistic risk assessments.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Review
Green & Sustainable Science & Technology
Xinglin Chen, Fuqiang Yang, Shuo Cheng, Shuaiqi Yuan
Summary: The article reviews the development processes, current status, and future prospects of occupational health and safety (OHS) in China. Through bibliometric analysis, key research topics, research methods, and collaboration networks are discussed. Suggestions for future work are provided to accelerate the development of OHS in China, including the prevention and control of occupational diseases, protection of workers' rights and interests, and the development of advanced technologies and risk assessment models for OHS. The study offers valuable insights for researchers and practitioners involved in OHS development in China.
Article
Ecology
Fuqiang Yang, Xin Li, Shuaiqi Yuan, Genserik Reniers
Summary: This study proposes an integrated approach combining association rule learning, Bayesian network, and fuzzy set theory to target the challenges in risk analysis of laboratory fire accidents, with a specific focus on Chinese universities. The approach derives conditional probabilities of Bayesian network nodes based on historical accident data and association rules, and utilizes expert elicitation through an augmented fuzzy set method. The results obtained from the developed fuzzy Bayesian network model indicate that bad safety awareness, improper storage of hazardous chemicals, environment with hazardous materials, and inadequate safety checks are the four most critical factors inducing laboratory fire accidents.
Review
Management
Genevieve Cyr, Marie-Pascale Pomey, Shuaiqi Yuan, Karl-Emanuel Dionne
Summary: User engagement is crucial for sustainable healthcare innovation, and Living Labs (LLs) are a promising approach to integrate users' knowledge. However, there is a lack of systematic understanding of effective user engagement. This scoping review maps current research on user engagement in Healthcare Living Labs (HLLs) and provides methods for innovation managers to enhance user engagement.
INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT
(2022)
Review
Chemistry, Multidisciplinary
Guangyu Qiu, Xiaole Zhang, Andrew J. deMello, Maosheng Yao, Junji Cao, Jing Wang
Summary: Airborne pathogens pose a significant threat to public health, and on-site airborne pathogen detection can be an effective non-pharmaceutical intervention strategy. However, there are still challenges that need to be addressed.
CHEMICAL SOCIETY REVIEWS
(2023)
Article
Public, Environmental & Occupational Health
Xiaole Zhang, Jing Wang
Summary: This study reviews the advancements in the atmospheric transport of chemical, biological, and radiological hazardous pollutants and introduces innovative methodologies for risk assessment and protection measures. It highlights the importance of understanding the behaviors of released hazardous pollutants in the atmosphere.
JOURNAL OF SAFETY SCIENCE AND RESILIENCE
(2022)
Article
Geosciences, Multidisciplinary
Matthias Karl, Liisa Pirjola, Tiia Gronholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas, Jaakko Kukkonen
Summary: This article introduces a publicly available aerosol dynamics model, MAFOR, which can solve the time evolution of both particle number and mass concentrations of aerosol components. The evaluation of the model shows that it reproduces the observed particle number size distributions more accurately and predicts the variation of PM1 concentration better than other models. The analysis of the predictions from three models reveals that atmospheric dilution and dry deposition are the two most important aerosol processes.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Engineering, Industrial
Hao Sun, Haiqing Wang, Ming Yang, Genserik Reniers
Summary: To maintain continuous production, chemical plant operators may choose to ignore or handle faults online rather than shutting down process systems. However, the interaction and interdependence between components in a digitalized process system are significant, and faults can propagate to downstream nodes, potentially leading to risk accumulation and major accidents. This study proposes a dynamic risk assessment method that integrates the system-theoretic accident model and process approach (STAMP) with the cascading failure propagation model (CFPM) to model the risk accumulation process. The proposed method is applied to a Chevron refinery crude unit and demonstrates its effectiveness in quantifying the process of risk accumulation and providing real-time dynamic risk profiles for decision-making.
Article
Engineering, Industrial
M. Rempel
Summary: This article examines a major maritime disaster scenario and explores the evacuation process in such a situation. The study finds that there are various factors that affect the number of lives saved, including the uncertainty of individuals' medical condition, the arrival time of maritime and air assets, and the decision policies used. The authors formulate the multi-domain operation as a sequential decision problem using a modeling framework and provide decision support through a hypothetical case study.
Review
Engineering, Industrial
D. Scorgie, Z. Feng, D. Paes, F. Parisi, T. W. Yiu, R. Lovreglio
Summary: This study investigates the application and effectiveness of VR safety training solutions in various industries such as construction, fire, aviation, and mining. The findings suggest a need for more studies that adopt theories and measure long-term retention. Two meta-analyses demonstrate that VR safety training outperforms traditional training in terms of knowledge acquisition and retention.
Article
Engineering, Industrial
Shital Thekdi, Terje Aven
Summary: This paper examines biases in risk studies and investigates how to identify and address them to ensure high-quality risk analysis. By considering biases related to systematic error, event inclusion, models, and cognitive factors, the paper explores their influence on risk characterization. The insights gained from this exploration can be valuable to risk analysts, policymakers, and other stakeholders involved in risk study applications.
Article
Engineering, Industrial
Maryam Lari
Summary: Occupational health and safety (OHS) are crucial for employee well-being and productivity. This study examines the impact of OHS practices on employee productivity in a UAE Fire and Security company, finding that OHS interventions can enhance workplace ambiance and significantly boost employee productivity.
Review
Engineering, Industrial
Elleke Ketelaars, Cyrille Gaudin, Simon Flandin, Germain Poizat
Summary: This systematic literature review examines the literature on resilience training (RT), specifically focusing on the effectiveness of RT interventions in preparing professionals to effectively respond to critical situations. The review identifies five types of RT and suggests the need for conceptual advancements, vocational education and training perspectives, and a cross-disciplinary approach in future research to enhance resilience in safety-related domains.
Article
Engineering, Industrial
Meng Shi, Zhichao Zhang, Wenke Zhang, Yi Ma, Hanbo Li, Eric Wai Ming Lee
Summary: This study investigates pedestrian behaviours and evacuation processes in both fire and non-fire conditions using Minecraft. The results demonstrate the potential of Minecraft for realistically simulating evacuation processes, as the behaviours and flow patterns of pedestrians in virtual experiments fit well with real-life experiments. The study also shows that pedestrians exhibit fire avoidance behaviours and orderly queuing during a fire emergency, resulting in faster evacuation.
Article
Engineering, Industrial
Andrea Bikfalvi, Esperanza Villar Hoz, Gerusa Gimenez Leal, Monica Gonzalez-Carrasco, Nuria Mancebo
Summary: This paper proposes a solution for integrating occupational safety and health (OSH) into education, combining theoretical foundations and empirical evidence. The findings include analysis of teachers as stakeholders, barriers and facilitators of OSH integration, and the development of an ICT tool for interaction and sharing in this field. The main contribution lies in envisioning, orchestrating, and validating a solution to integrate OSH into schools and ultimately contribute to sustainable development goals.
Article
Engineering, Industrial
David Rehak, Alena Splichalova, Martin Hromada, Neil Walker, Heidi Janeckova, Josef Ristvej
Summary: This article discusses the adoption of a new directive on the resilience of critical entities and emphasizes the importance of assessing their level of resilience in relation to current security threats. The authors have developed a tool, known as the CERFI Tool, which uses a probabilistic algorithm to predict the failure point of critical entity resilience based on the relationship between threat intensity and protection. The tool is important for increasing the safety of technically oriented infrastructures, particularly in the energy and transport sectors.
Review
Engineering, Industrial
Leonardo Leoni, Ahmad Bahootoroody, Mohammad Mahdi Abaei, Alessandra Cantini, Farshad Bahootoroody, Filippo De Carlo
Summary: This paper presents a systematic bibliometric analysis (SBA) on the research of machine learning and deep learning in the field of safety. The main research areas, application fields, relevant authors and studies, and temporal evolution are investigated. It is found that rotating equipment, structural health monitoring, batteries, aeroengines, and turbines are popular fields, and there is an increase in popularity of deep learning and new approaches such as deep reinforcement learning.
Article
Engineering, Industrial
Tom Becker, Peter Ayton
Summary: By analyzing global civil aviation data, we found that there is a significant increase in the number of accidents and safety critical incidents, as well as the fatalities, when the Pilot-in-Command acts as the Pilot Flying instead of the Pilot Monitoring. Most of these events occurred in technically airworthy aircraft without any emergencies, and the flight crew assessed them as preventable. These findings align with the crew assignment effect, suggesting that role-dependent status hierarchy and cognitive overload contribute to ineffective flight crew teamwork. The measures implemented to enhance flight crew teamwork, such as Crew Resource Management training, have not been successful in preventing these issues.
Article
Engineering, Industrial
Ben Hutchinson, Sidney Dekker, Andrew Rae
Summary: This study found that health and safety audits often fail to identify critical deficiencies, with corrective actions mainly focusing on superficial fixes rather than addressing significant operational risks.
Review
Engineering, Industrial
Sina Rasouli, Yaghoub Alipouri, Shahin Chamanzad
Summary: Construction projects are risky environments, but the development of Personal Protective Equipment (PPE) and comprehensive safety management can effectively control the number of accidents.
Article
Engineering, Industrial
Laura Mills, Verity Truelove
Summary: This study investigated the use of police location communities (PLCs) for obtaining information about roadside drug testing (RDT) among drivers, and found that drivers who used PLCs were more concerned about being caught for drug driving, had a better understanding of the related penalties and procedures, and knew others who also used PLCs to avoid detection for drug driving. Furthermore, the study found that the use of PLCs was associated with choosing back roads for driving, which may reduce the risk of detection for drug driving.
Review
Engineering, Industrial
Chao Wu, Xi Huang, Bing Wang
Summary: After decades of development, the safety discipline in China has made remarkable progress. The project led by the Safety & Security Theory Innovation and Promotion Center of Central South University has filled the gaps in safety science education by creating textbooks and courses for postgraduate students. These achievements have played an important role in the development of safety science and can serve as a reference for basic research and talent training in safety science globally.