Article
Green & Sustainable Science & Technology
Flavia Matias Oliveira Silva, Eduardo Carlos Alexandrina, Ana Cristina Pardal, Maria Teresa Carvalhos, Elaine Schornobay Lui
Summary: This study aimed to build a mathematical modeling prediction to control air quality around the campus, and the results showed a significant increase in particles during occasional periods, reflecting the association with natural phenomena or emitting sources.
Article
Environmental Sciences
Sadia Afrin, Mohammad Maksimul Islam, Tanvir Ahmed
Summary: The study developed statistical models to predict particulate matter concentration in Dhaka's ambient air, showing that PM2.5 is more influenced by meteorology while PM2.5-10 is affected by lag effects and relative humidity. The models demonstrated strong performance in forecasting air quality at different monitoring sites in Dhaka.
AEROSOL AND AIR QUALITY RESEARCH
(2021)
Article
Environmental Sciences
A. Przybysz, R. Popek, M. Stankiewicz-Kosyl, Ch Y. Zhu, M. Malecka-Przybysz, T. Maulidyawati, K. Mikowska, D. Deluga, K. Grizuk, J. Sokalski-Wieczorek, K. Wolszczak, M. Winska-Krysiak
Summary: This study investigated the tolerance to urban conditions and PM accumulation in the immediate roads vicinity of different plant species in urban meadows. Results showed that different plant species exhibit varying levels of PM accumulation and tolerance to urban conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Marine
Giedrius Silas, Paulius Rapalis, Sergejus Lebedevas
Summary: In the last decade, reducing carbon dioxide emissions in the transport sector, including the marine sector, has become a strategic development direction. Increased air pollution is a major cause of premature deaths worldwide. Although many methods provide adequate information about pollution levels, there is room for improvement to avoid major errors. Traditional methods are expensive or require a large amount of data and human resources for accurate evaluation. Artificial neural networks (ANNs) and other machine learning methods are widely used to address these issues. While many ANN models have been developed for ship pollution evaluation in ports and nearby cities, there is a lack of research on ANN usage for individual ship pollution or ship plume evaluation. This study attempts to fill this gap by developing an ANN model that combines various data sources to evaluate an individual ship's plumes.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Maryam Imani
Summary: This study proposes a framework for PM estimation based on satellite images, using deep neural networks to extract the relationship between satellite image bands and PM measurements. The method successfully generates PM2.5 and PM10 maps for Tehran city, offering a simple, low cost, and efficient approach for small-scaled PM generation using MODIS images.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Paola Fermo, Begona Artinano, Gianluigi De Gennaro, Antonio Marco Pantaleo, Alessandro Parente, Fiorella Battaglia, Elena Colicino, Gianluca Di Tanna, Andouglas Goncalves da Silva Junior, Igor Gadelha Pereira, Gabriel Santos Garcia, Luiz Marcos Garcia Goncalves, Valeria Comite, Alessandro Miani
Summary: The study tested a commercial system as an air purifier and found that it significantly reduced PM and VOCs concentrations in the air by about 90% and over 50%, respectively.
ENVIRONMENTAL RESEARCH
(2021)
Article
Forestry
Carlos Zafra-Mejia, Joaquin Suarez-Lopez, Hugo Rondon-Quintana
Summary: Urban areas with trees offer various ecosystem services to residents, including the removal of air pollutants like particulate matter. This study in Bogota, Colombia investigated the variation of intercepted particulate matter concentration (IPMC) by tree leaves, finding that IPMC decreased as PM2.5 concentration increased. Species like Ligustrum-lucidum and Lafoensia-acuminata showed the strongest trend of decreasing IPMC with increasing PM2.5 concentration, with larger leaf area associated with higher IPMC. Additionally, higher wind speeds were linked to higher PM2.5 concentrations and decreased leaf IPMC.
Article
Materials Science, Multidisciplinary
Juho Luukkonen, Aarne Pohjonen, Seppo Louhenkilpi, Jyrki Miettinen, Mikko J. Sillanpaa, Erkki Laitinen
Summary: This article presents a novel approach to predict ferrite start temperatures for low alloyed steels using gradient boosting machine (GBM). The GBM model outperforms other competitors in terms of model performance metrics. The predicted temperatures are then used to fit a physically based model, enabling the estimation of transformation start for any cooling path, which can be further converted to a Time-Temperature-Transformation (TTT) diagram.
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE
(2023)
Article
Environmental Sciences
Wan Nur Shaziayani, Ahmad Zia Ul-Saufie, Hasfazilah Ahmat, Dhiya Al-Jumeily
Summary: Air pollution is a significant global environmental issue, with sources in Malaysia including mobile and stationary sources, and PM10 being the most noticeable pollutant. By comparing QR and OLS in the BRT model for predicting PM10 concentrations in different areas, it was found that QR performs slightly better than OLS.
AIR QUALITY ATMOSPHERE AND HEALTH
(2021)
Article
Environmental Sciences
Chanhyeok Park, Jaehyung Yu, Bum-Jin Park, Lei Wang, Yun Gon Lee
Summary: This study analyzed the spectral variations of pine trees exposed to particulate matter (PM) and derived effective spectral indices to detect PM absorption. Fourteen bands were selected for accurate classification of PM-exposed pine trees, making it applicable for monitoring air pollution in urban areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Construction & Building Technology
Hsiang-Lin Yu, Tsang-Jung Chang
Summary: This study proposes a new 3D approach for modeling indoor airborne particulate matter (PM) concentration using cellular automata (CA) framework. By considering four major PM transport mechanisms, the CA approach achieves high accuracy and efficiency in numerical simulations, making it a useful tool for 3D simulations of indoor PM transport and distribution.
BUILDING AND ENVIRONMENT
(2022)
Article
Automation & Control Systems
Lorenzo Nespoli, Vasco Medici
Summary: This paper presents a computationally efficient algorithm for fitting multivariate boosted trees and proves that multivariate trees outperform univariate trees when there is prediction correlation. The algorithm also allows for arbitrary regularization of predictions to enforce properties like smoothness, consistency, and functional relations. Applications and numerical results related to forecasting and control are presented.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Construction & Building Technology
Min Young Kim, Yong Gi Jung, Jin Chul Park, Young Kwon Yang
Summary: The study found that forced resuspension is an effective method for reducing deposited particulate matter in indoor environments, with four-way airflow being more effective than one-way airflow. The orientation and velocity of the airflow have an impact on the resuspension and removal efficiency of particulates, with a flow velocity of 5 m/s or higher being necessary to resuspend deposited particulate matter.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Jean C. Rivera-Rios, Taekyu Joo, Masayuki Takeuchi, Thomas M. Orlando, Tracy Bevington, John W. Mathis, Cliffton D. Pert, Brandon A. Tyson, Tyler M. Anderson-Lennert, Joshua A. Smith, Nga Lee Ng
Summary: This study measured particle number and mass concentrations in aircraft cabins during July 2020 in Atlanta, with restaurants having the highest concentrations and in-flight aircraft cabins having the lowest.
Article
Green & Sustainable Science & Technology
Robert Popek, Beata Fornal-Pieniak, Filip Chylinski, Magdalena Pawelkowicz, Jan Bobrowicz, Dominika Chrzanowska, Natalia Piechota, Arkadiusz Przybysz
Summary: The study found that plants at all layers of urban forests accumulate particulate matter (PM). Herbaceous plants growing along roadsides efficiently accumulate PM, while trees and shrubs accumulate PM that was not deposited on herbaceous plants. As the distance from the road into the forest increases, the PM content on herbaceous plants decreases and the accumulation on trees and shrubs increases. The results demonstrate the important role of meadow vegetation and urban forests in air purification.
Article
Environmental Sciences
A. Suleiman, M. R. Tight, A. D. Quinn
ATMOSPHERIC POLLUTION RESEARCH
(2019)
Article
Engineering, Civil
Nainesh Patel, Mingzhe He, Hassan Hemida, Andrew Quinn
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2019)
Article
Green & Sustainable Science & Technology
Emma Ferranti, Lauren Andres, Stuart Paul Denoon-Stevens, Lorena Melgaco, Daniel Oberling, Andrew Quinn
Article
Engineering, Civil
Giulio Vita, Zhenru Shu, Michael Jesson, Andrew Quinn, Hassan Hemida, Mark Sterling, Chris Baker
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2020)
Article
Meteorology & Atmospheric Sciences
Sarah Greenham, Emma Ferranti, Andrew Quinn, Katherine Drayson
METEOROLOGICAL APPLICATIONS
(2020)
Article
Engineering, Civil
Roger Hoxey, Peter Richards, Andrew Quinn, Adam Robertson, Hannah Gough
Summary: Measurements were taken of velocity components and static pressure in the lowest 10 meters of the atmospheric boundary layer, revealing that the static pressure spectrum decays close to n(-4/3) while wind velocity and dynamic pressure spectra follow an n(-5/3) decay rate in the inertial subrange. These distinct spectral patterns may aid in identifying the separate contributions of static pressure and dynamic pressure to wind loading and natural ventilation.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Review
Environmental Studies
Erika J. Palin, Irina Stipanovic Oslakovic, Kenneth Gavin, Andrew Quinn
Summary: Weather phenomena can have severe impacts on railway infrastructure, and projected changes to extreme weather events could alter risk profiles. Owners and operators need to manage current weather impacts and prepare for future weather risks. This requires a good understanding of risk components and potential benefits of climate change adaptation actions.
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
(2021)
Article
Construction & Building Technology
Amir Idris Imam, Aminu Suleiman
Summary: Poor maintenance planning and implementation, inappropriate decision tools, and underestimating the effects of climate change lead to fast deterioration of asphalt pavement surfaces. To prioritize maintenance activities, a comprehensive condition-rating model for asphalt pavements in Nigeria's northwestern region was developed using Multi-attribute Utility Theory. The model showed high accuracy in comparison to traditional rating methods.
INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY
(2023)
Article
Education & Educational Research
Panagiota Axelithioti, Rachel S. Fisher, Emma J. S. Ferranti, Holly J. Foss, Andrew D. Quinn
Summary: Engineering is crucial for societal progress, but it also contributes to climate change. Engineers have a responsibility to reduce disaster risks and mitigate greenhouse gas emissions. This study examines how higher education prepares engineers to address the climate crisis, focusing on mechanical, civil, and electrical engineering departments. The research finds a lack of emphasis on climate change in course descriptions and learning objectives, highlighting the disconnect between engineering education and the climate reality. The study calls for the integration of climate-conscious content in engineering curricula.
EDUCATION SCIENCES
(2023)
Article
Construction & Building Technology
Siama Begum, Rachel S. Fisher, Emma J. S. Ferranti, Andrew D. Quinn
Summary: The impacts of climate change have caused extensive disruption to the road network in the UK. This report evaluates the regional highway network management strategies in the West Midlands to determine their effectiveness in promoting resilience to climate change. The analysis highlights fragmentation and disparity between highway strategies across the region and the vulnerability to climate change.
Article
Meteorology & Atmospheric Sciences
Daniel L. L. Donaldson, Emma J. S. Ferranti, Andrew D. D. Quinn, Dilan Jayaweera, Thomas Peasley, Mark Mercer
Summary: Extreme weather events can cause power outages and damage to power distribution network infrastructure. A new approach using a normalized fragility curve is presented to alert operators about upcoming extreme weather risks. The curve captures regional differences and allows for the setting of unified risk thresholds, supporting proactive response and resource allocation.
METEOROLOGICAL APPLICATIONS
(2023)
Article
Management
Michael E. Goodfellow-Smith, Christopher D. F. Rogers, Miles R. Tight
INFRASTRUCTURE ASSET MANAGEMENT
(2020)
Article
Transportation
Dennis van Soest, Miles R. Tight, Christopher D. F. Rogers
Article
Psychology, Applied
Dennis van Soest, Miles R. Tight, Christopher D. F. Rogers
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2019)