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Journal articles on the topic 'Particulate pollutants dynamics'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Naresh, R., and S. Sundar. "A Nonlinear Dynamical Model to Study the Removal of Gaseous and Particulate Pollutants in a Rain System." Nonlinear Analysis: Modelling and Control 12, no. 2 (2007): 227–43. http://dx.doi.org/10.15388/na.2007.12.2.14713.

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An ecological type nonlinear mathematical model is proposed to study the removal of gaseous pollutants and two distinct particulate matters by precipitation scavenging in the atmosphere. The atmosphere during precipitation consists of five interacting phases namely the raindrops phase, the gaseous pollutants phase, the smaller particulate matters phase, the larger particulate matters phase and the absorbed phase of gaseous pollutants. We assume that gaseous pollutants are removed from the atmosphere by the processes of impaction as well as by absorption while particulate matters are assumed to

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Boussouara, Karima, and Mahfoud Kadja. "Empirical soot formation and oxidation model." Thermal Science 13, no. 3 (2009): 35–46. http://dx.doi.org/10.2298/tsci0903035b.

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Modelling internal combustion engines can be made following different approaches, depending on the type of problem to be simulated. A diesel combustion model has been developed and implemented in a full cycle simulation of a combustion, model accounts for transient fuel spray evolution, fuel-air mixing, ignition, combustion, and soot pollutant formation. The models of turbulent combustion of diffusion flame, apply to diffusion flames, which one meets in industry, typically in the diesel engines particulate emission represents one of the most deleterious pollutants generated during diesel combu

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Ioannidis, Giannis, Paul Tremper, Chaofan Li, et al. "Evaluating the Spatial Coverage of Air Quality Monitoring Stations Using Computational Fluid Dynamics." Atmosphere 16, no. 3 (2025): 326. https://doi.org/10.3390/atmos16030326.

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Densely populated urban areas often experience poor air quality due to high levels of anthropogenic emissions. The population is frequently exposed to harmful gaseous and particulate pollutants, which are directly linked to various health issues, including respiratory diseases. Accurately assessing and predicting pollutant concentrations within urban areas is therefore crucial. This study developed a computational fluid dynamic (CFD) model designed to capture turbulence effects that influence pollutant dispersion in urban environments. The focus was on key pollutants commonly associated with v

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Xue, Wei, Qingming Zhan, Qi Zhang, and Zhonghua Wu. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China." International Journal of Environmental Research and Public Health 17, no. 1 (2019): 136. http://dx.doi.org/10.3390/ijerph17010136.

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High air pollution levels have become a nationwide problem in China, but limited attention has been paid to prefecture-level cities. Furthermore, different time resolutions between air pollutant level data and meteorological parameters used in many previous studies can lead to biased results. Supported by synchronous measurements of air pollutants and meteorological parameters, including PM2.5, PM10, total suspended particles (TSP), CO, NO2, O3, SO2, temperature, relative humidity, wind speed and direction, at 16 urban sites in Xiangyang, China, from 1 March 2018 to 28 February 2019, this pape

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Campanale, Claudia, Daniela Losacco, Mariangela Triozzi, Carmine Massarelli, and Vito Felice Uricchio. "An Overall Perspective for the Study of Emerging Contaminants in Karst Aquifers." Resources 11, no. 11 (2022): 105. http://dx.doi.org/10.3390/resources11110105.

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Karst aquifers are essential drinking water sources, representing about 25% of the total available sources globally. Groundwater ecosystems consist of fissured carbonate rocks commonly covered with canopy collapse sinkholes. The open nature of karst aquifers makes them susceptible to rapidly transporting contaminants from the surface in dissolved and particulate forms. The principal aim of this review is to contribute to filling the gap in knowledge regarding major concerns affecting karst aquifers and understanding their vulnerabilities and dynamics. The principal groundwater pollutants of re

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Liu, Liyang, Hui Liu, and Yiming Ma. "Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station." International Journal of Environmental Research and Public Health 19, no. 4 (2022): 2295. http://dx.doi.org/10.3390/ijerph19042295.

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With the increase in subway travelers, the air quality of underground enclosed spaces at subway stations has attracted much more attention. The study of pollutants exposure assessment, especially fine particulate matter, is important in both pollutant control and metro station design. In this paper, combining pedestrian flow analysis (PFA) and computational fluid dynamics (CFD) simulations, a novel surrogate-assisted particulate matter exposure assessment method is proposed, in which PFA is used to analyze the spatial-temporal movement characteristics of pedestrians to simultaneously consider

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Gavrila, Georgeta-Olguta, Oana Cristina Parvulescu, Cristian Constantin, et al. "Examining air pollution dynamics in Ploiesti: a focus on vehicular emissions." Romanian Journal of Ecology & Environmental Chemistry 6, no. 2 (2024): 130–39. https://doi.org/10.21698/rjeec.2024.213.

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This paper presented the topic of urban air pollution in Ploiesti Municipality, located 60 km north of Bucharest. The study analyzes the seasonal variations in 2023 of air pollutants such as nitrogen dioxide (NO2), sulphur dioxide (SO2) and particulate matter (PM10), the impact of road traffic on air quality, as well as the monitoring measures according to the in force environmental legislation. For the air quality assessment two types of data were collected: data from the National Air Quality Monitoring Station (AQMS) of Ploiesti for the winter ÷ summer period and data obtained from field mea

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Gianquintieri, Lorenzo, Daniele Oxoli, Enrico Gianluca Caiani, and Maria Antonia Brovelli. "Land use influence on ambient PM2.5 and ammonia concentrations: Correlation analyses in the Lombardy region, Italy." AGILE: GIScience Series 4 (June 6, 2023): 1–7. http://dx.doi.org/10.5194/agile-giss-4-26-2023.

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Abstract. Air pollution is identified as the primary environmental risk to health worldwide. Although most of the anthropic emissions are due to combustion processes, intensive farming activities may also contribute significantly, especially as a source of particulate matter 2.5 and ammonia. Investigations on particulate matter and precursors dynamics, identifying the most relevant environmental factors influencing their emissions, are critical to improving local and regional air quality policies. This work presents an analysis of the correlation between particulate matter 2.5 and ammonia conc

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Samaké, Abdoulaye, Amadou Mahamane, Mahamadou Alassane, and Ouaténi Diallo. "A Mathematical and Numerical Framework for Traffic-Induced Air Pollution Simulation in Bamako." Computation 10, no. 5 (2022): 76. http://dx.doi.org/10.3390/computation10050076.

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We present a mathematical and numerical framework for the simulation of traffic-induced air pollution in Bamako. We consider a deterministic modeling approach where the spatio-temporal dynamics of the concentrations of air pollutants are governed by a so-called chemical transport model. The time integration and spatial discretization of the model are achieved using the forward Euler algorithm and the finite-element method, respectively. The traffic emissions are estimated using a road traffic simulation package called SUMO. The numerical results for two road traffic-induced air pollutants, nam

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Qi, Wang, Yoo Sung-Jun, Wang Xin, and Ito Kazuhide. "Exploratory computational fluid and particle dynamics analyses in multi-layered vertical duct-type ventilation system for heat exchange and air purification." E3S Web of Conferences 396 (2023): 03006. http://dx.doi.org/10.1051/e3sconf/202339603006.

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This study aims to develop a vertical air duct which is embedded inside the building envelop. It is also designed as a counter-flow heat recovery ventilator (HRV). The vertical air duct model in this study adopted baffle structure considering two methods to suppress the inflow of the particulate matters from outdoor: 1) trapping by wall surface and airflow structure and 2) gravitational sedimentation in the air duct. Design parametric analyses are conducted using computational fluid dynamics to determine optimal design of vertical air duct. Three types of analytical case with various set-up of

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Lapere, Rémy, Laurent Menut, Sylvain Mailler, and Nicolás Huneeus. "Seasonal variation in atmospheric pollutants transport in central Chile: dynamics and consequences." Atmospheric Chemistry and Physics 21, no. 8 (2021): 6431–54. http://dx.doi.org/10.5194/acp-21-6431-2021.

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Abstract. Central Chile faces atmospheric pollution issues all year long as a result of elevated concentrations of fine particulate matter during the cold months and tropospheric ozone during the warm season. In addition to public health issues, environmental problems regarding vegetation growth and water supply, as well as meteorological feedback, are at stake. Sharp spatial gradients in regional emissions, along with a complex geographical situation, make for variable and heterogeneous dynamics in the localization and long-range transport of pollutants, with seasonal differences. Based on ch

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Aiswarya, R., A. R. Resmi, C. T. Rahsha, Sona Dharman, S. Adarsh, and M. Mamatha. "Analyzing the Effect of Air Pollutants on Particulate Matter Concentrations of the Tropical coastal city of Thiruvananthapuram, India by Wavelet Coherence." IOP Conference Series: Earth and Environmental Science 1237, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1755-1315/1237/1/012017.

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Abstract The main environmental risk factor that need regular monitoring and analysis for efficient air quality management is particulate matter (PM). This paper analyzes the effect of gaseous air pollutants (SO2, CO, Ozone, NOx) on PM concentration in the coastal city of Thiruvananthapuram, India using Wavelet coherence (WTC). The study was conducted using the data from Plammoodu station of the city for the period of 2018 to 2021. The teleconnections of air pollutants with PMs are analysed using WTC for the data of different time spells of 2018-2021, 2018 and 2020. Results showed that among t

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Kong, Xiaodie, Xiaoya Dou, Hefan Liu, et al. "A Monitoring and Sampling Platform for Air Pollutants on a Rotary-Wing Unmanned Aerial Vehicle: Development and Application." Atmosphere 16, no. 5 (2025): 613. https://doi.org/10.3390/atmos16050613.

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Complex air pollution, including particulate matter and ozone, is a significant environmental issue in China, with volatile organic compounds (VOCs) as key precursors. Traditional ground-based monitoring methods struggle to capture the vertical distribution and changes of pollutants in the troposphere. To address this, we developed a vertical monitoring and sampling platform using a quadcopter unmanned aerial vehicle (UAV). The platform, equipped with lightweight quartz sampling canisters and miniaturized sensors, collects air samples for VOC analysis and vertical data on meteorological parame

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Yang, Luoqi, Guangjie Wang, YeGui Wang, Yibai Wang, Yongjing Ma, and Xi Zhang. "A Rapid Computational Method for Quantifying Inter-Regional Air Pollutant Transport Dynamics." Atmosphere 16, no. 2 (2025): 163. https://doi.org/10.3390/atmos16020163.

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A novel atmospheric pollutant transport quantification model (APTQM) has been developed to analyze and quantify cross-regional air pollutant transport pathways and fluxes. The model integrates high-resolution numerical simulations, Geographic Information System (GIS) capabilities, and advanced statistical evaluation metrics with boundary pixel decomposition methods to effectively characterize complex pollutant transport dynamics while ensuring computational efficiency. To evaluate its performance, the model was applied to a representative winter pollution event in Beijing in December 2021, usi

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Zubiaga, Asier, Synne Madsen, Hassan Khawaja, and Gernot Boiger. "Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø." Environments 8, no. 9 (2021): 88. http://dx.doi.org/10.3390/environments8090088.

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Docked ships are a source of contamination for the city while they keep their engine working. Plume emissions from large boats can carry a number of pollutants to nearby cities causing a detrimental effect on the life quality and health of local citizens and ecosystems. A computational fluid dynamics model of the harbour area of Tromsø has been built in order to model the deposition of CO2 gas emitted by docked vessels within the city. The ground level distribution of the emitted gas has been obtained and the influence of the wind speed and direction, vessel chimney height, ambient temperature

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Zhang, J. J., and X. Y. Li. "Coagulation and sedimentation of particulate pollutants in marine waters after wastewater outfall discharge." Water Supply 6, no. 1 (2006): 79–86. http://dx.doi.org/10.2166/ws.2006.009.

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Outfall discharge to seawater is generally used as a practical means of wastewater disposal in many coastal cities. However, deposition of solid pollutants from the wastewater on the seabed would affect the benthic communities. In the present study, both laboratory experiments and numerical simulations were carried out on the role of particle coagulation in the transport and sedimentation of sewage solid materials in marine waters after outfall discharge. Actual sewage samples were collected from two treatment plants in Hong Kong for the experimental study. A flocculator-imaging system was dev

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Kim, Donghyun, Heechan Han, Wonjoon Wang, Yujin Kang, Hoyong Lee, and Hung Soo Kim. "Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction." Applied Sciences 12, no. 13 (2022): 6699. http://dx.doi.org/10.3390/app12136699.

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Accurate pollutant prediction is essential in fields such as meteorology, meteorological disasters, and climate change studies. In this study, long short-term memory (LSTM) and deep neural network (DNN) models were applied to six pollutants and comprehensive air-quality index (CAI) predictions from 2015 to 2020 in Korea. In addition, we used the network method to find the best data sources that provide factors affecting comprehensive air-quality index behaviors. This study had two steps: (1) predicting the six pollutants, including fine dust (PM10), fine particulate matter (PM2.5), ozone (O3),

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Kozlova, Anastasia, Marina Stepantsevich, Vladislav Kukartsev, Aleksey Losev, and Natalya Yagudaeva. "Statistical analysis of seasonal variations in pollutant concentrations in urban atmosphere." E3S Web of Conferences 592 (2024): 06010. http://dx.doi.org/10.1051/e3sconf/202459206010.

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In the context of global climate change and urbanization, the issue of air quality is becoming increasingly relevant. Air pollution poses a threat to human health and ecosystems, highlighting the need for monitoring the concentrations of pollutants. This study examines the seasonal variations in the concentrations of harmful substances in the urban atmosphere using statistical methods. The aim of the research is to analyze time series data on concentrations of carbon monoxide (CO), nitrogen oxide (NO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), ammonia (NH3), and particulate mat

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19

Bajpai, Ayushman, and Siddhartha Shukla. "Evaluating Seasonal Variations in Pollutant Dispersion using Gaussian Modelling in Sitapur’s Airshed." Ecology, Environment and Conservation 31, no. 2 (2025): 521–25. https://doi.org/10.53550/eec.2025.v31i02.021.

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Air pollution has become a critical environmental and public health concern worldwide, significantly contributing to a range of respiratory and cardiovascular diseases, as well as exacerbating climate change and ecosystem degradation. The increasing concentration of harmful air pollutants poses severe challenges to urban and rural areas alike, necessitating a comprehensive understanding of their dispersion patterns and influencing factors. This study focuses on the seasonal analysis of air pollutant dispersion in Sitapur’s airshed, a region that is increasingly witnessing the adverse impacts o

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Ren, Lulu, Farun An, Meng Su, and Jiying Liu. "Exposure Assessment of Traffic-Related Air Pollution Based on CFD and BP Neural Network and Artificial Intelligence Prediction of Optimal Route in an Urban Area." Buildings 12, no. 8 (2022): 1227. http://dx.doi.org/10.3390/buildings12081227.

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Due to rapid global economic development, the number of motor vehicles has increased sharply, causing significant traffic pollution and posing a threat to people’s health. People’s exposure to traffic-related particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) primarily occurs during commuting. Many studies have used exposure risk assessment models to assess the possible adverse effects of PM2.5, but few have used them to plan low-risk pathways for commuters. This study simulated the pollutant concentration distribution in an idealized urban area in different scenarios. We

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Wu, Chi-Hua. "Seasonal adjustment of particulate matter pollution in coastal East Asia during the 2020 COVID lockdown." Environmental Research Letters 16, no. 12 (2021): 124023. http://dx.doi.org/10.1088/1748-9326/ac343c.

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Abstract Seasonally, the East Asian particulate matter (PM) level is higher in the winter–spring period than in summer, at which time the level rapidly decreases due to the summer monsoon migration. Attempting to attribute East Asian PM pollution to a source without considering such natural factors is challenging. However, to what degree the effect of season on an attribution bias remains controversial; the bias may even be implicated in PM-related health effects. This study examined seasonal dynamics including the unusual precipitation evolution during 2020—a year in which coronavirus-related

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Sekula, Piotr, Miroslaw Zimnoch, Jakub Bartyzel, Anita Bokwa, Michal Kud, and Jaroslaw Necki. "Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics." Sensors 21, no. 9 (2021): 2920. http://dx.doi.org/10.3390/s21092920.

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Winter smog episodes are a severe problem in many cities around the world. The following two mechanisms are responsible for influencing the level of pollutant concentrations: emission of pollutants from different sources and associated processes leading to formation of secondary aerosols in the atmosphere and meteorology, including advection, which is stimulated by horizontal wind, and convection, which depends on vertical air mass movements associated with boundary layer stability that are determined by vertical temperature and humidity gradients. The aim of the present study was to evaluate

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Anbu Clemensis Johnson. "Air Pollution Dynamics in Shanghai: Trends from 2014 to 2024." International Journal of Scientific Research in Science and Technology 12, no. 2 (2025): 564–71. https://doi.org/10.32628/ijsrst25122241.

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Air pollution remains a critical environmental and public health challenge in Shanghai, driven by seasonal variations in criteria pollutants such as PM2.5, PM10, SO2, NO2, O3, and CO. This study examines monthly and long-term trends in air quality using data from 2014 to 2024, highlighting the influence of anthropogenic emissions, and regulatory measures. The results indicate that particulate matter (PM2.5 and PM10) and NO2 peak during winter due to increased coal-based heating, industrial activities, and atmospheric stagnation, while O3 concentrations rise in summer due to enhanced photochemi

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Ferreira Gadelha, Antonio José, Tony Herbert Freire de Andrade, Severino Rodrigues de Farias Neto, and Antonio Gilson Barbosa de Lima. "Numerical Simulation of Thermofluid Dynamics of Pollutants’ Dispersion by Thermal Electricity Production." Defect and Diffusion Forum 366 (April 2016): 135–43. http://dx.doi.org/10.4028/www.scientific.net/ddf.366.135.

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The growing global demand for energy has led researchers to seek the improvement of technology in order to maximize the generation of electricity by different ways. Among the different methods of production is the energy produced by thermal power plants, which account for more than 60% of the energy produced in the world. This energy is generated through combustion of fuels such as coal, diesel oil, natural gas and others. The main problem caused by the production of thermal energy is the emission of gaseous pollutants into the atmosphere, such as carbon dioxide (CO2), sulfur dioxide (SO2), ni

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Brągoszewska, Ewa, and Anna Mainka. "Bacterial Aerosol in Ambient Air—A Review Study." Applied Sciences 14, no. 18 (2024): 8250. http://dx.doi.org/10.3390/app14188250.

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Bioaerosols, including airborne bacteria, are significant pollutants affecting both indoor and outdoor air quality, with implications for human health. Despite extensive research on indoor air quality, there is a notable lack of comprehensive data on ambient bacterial concentrations and their interactions with pollutants and meteorological factors. This review focuses on bacterial aerosols in the atmosphere, measured using the culture-based method, considered the “gold standard” for microorganism detection and identification. Studies reveal significant variability in bacterial concentrations a

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Slomberg, Danielle L., Patrick Ollivier, Olivier Radakovitch, et al. "Insights into natural organic matter and pesticide characterisation and distribution in the Rhone River." Environmental Chemistry 14, no. 1 (2017): 64. http://dx.doi.org/10.1071/en16038.

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Environmental contextNatural organic matter in surface waters is a transport vector for environmental pollutants with both its concentration and composition influencing pollutant fate. Characterisation of organic matter in surface waters, crucial to understanding pollutant transport, should also account for spatial variation along the water source. The present work characterises the natural organic matter in the Rhone River and describes the distributions of various pesticides and metabolites along the river. AbstractThorough characterisation of natural organic matter (NOM) in natural surface

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Dzoljic, Jovana, Vladimir Popovic, and Vojislav Stojanovic. "Air Pollution and Health Effects in Developing Countries, Case Study: Serbia." American Journal of Environmental Science and Engineering 9, no. 2 (2025): 51–58. https://doi.org/10.11648/j.ajese.20250902.12.

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The primary driver of atmospheric pollution is humanity&apos;s demand for energy. Consequently, traffic and industry—particularly the energy sector—are considered the dominant sources of air pollution. Intensive motorized traffic significantly contributes to increased vehicular emissions, negatively impacting the atmosphere and all the environment. A range of negative effects of air pollution is observed, particularly in the urban environment, where one of the most considerable is the impact on human health. Air pollution affects all living organisms, leading to various health issues, incl

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Megha Patwa and Dr. S.K. Diwakar. "Monitoring Air Quality in Bhopal: A Comparative Study of Pollutant Levels at Hamidia Road Chowk and T.T. Nagar in 2022." International Journal for Multidimensional Research Perspectives 2, no. 12 (2024): 01–07. https://doi.org/10.61877/ijmrp.v2i12.216.

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Urban air pollution is a growing environmental and health challenge in developing countries, driven by industrialization, enlargement of vehicular traffic, and population density. This study focuses on two distinct monitoring sites in Bhopal, India: Hamidia Road Chowk, characterized by high traffic density, and T.T. Nagar, a densely populated residential area. Monthly data for 2022 on key pollutants, including particulate matter (PM10 and PM2.5), sulfur dioxide (SO2), nitrogen oxides (NO2), carbon monoxide (CO), ozone (O3), and heavy metals, were analysed to define seasonal variations and conf

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Mohamed, Hossamaldeen, Abubakr Hassan, and Abdelrahim Elhag. "A five-year Study Using Sentinel-5P Data Observing Seasonal Dynamics and Long-term Trends of Atmospheric Pollutants." International Journal of Engineering and Geosciences 10, no. 2 (2025): 262–71. https://doi.org/10.26833/ijeg.1587122.

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Air pollution is an escalating concern for both environmental sustainability and public health, exacerbated by urbanization and industrial growth. In Saudi Arabia, pollutants primarily from industrial activities and vehicle emissions present significant health hazards. This study utilizes data from the Sentinel-5P satellite to analyze the variations in Carbon Monoxide (CO), Nitrogen Dioxide (NO₂), Sulfur Dioxide (SO₂), and Particulate Matter (PM2.5) over a five-year period, from January 2019 to December 2023. The data was processed using Google Earth Engine (GEE) to produce monthly and seasona

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Rasche, Marius, Mario Walther, Rene Schiffner, et al. "Rapid increases in nitrogen oxides are associated with acute myocardial infarction: A case-crossover study." European Journal of Preventive Cardiology 25, no. 16 (2018): 1707–16. http://dx.doi.org/10.1177/2047487318755804.

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Aims High concentrations of air pollutants are associated with increased risk for myocardial infarction. The European Union has defined statutory limits for air pollutants based on upper absolute concentrations. We evaluated the association between rapid changes in air pollutants and the risk of myocardial infarction independently of absolute concentrations. Methods and results Using a hospital-based case-crossover study, effects of 24h changes of nitrogen oxides (NOX/2), particulate matter (PM10), and ozone on the risk of myocardial infarction was assessed in 693 patients. In the overall popu

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Bisetti, Fabrizio, Antonio Attili, and Heinz Pitsch. "Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2022 (2014): 20130324. http://dx.doi.org/10.1098/rsta.2013.0324.

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Combustion of fossil fuels is likely to continue for the near future due to the growing trends in energy consumption worldwide. The increase in efficiency and the reduction of pollutant emissions from combustion devices are pivotal to achieving meaningful levels of carbon abatement as part of the ongoing climate change efforts. Computational fluid dynamics featuring adequate combustion models will play an increasingly important role in the design of more efficient and cleaner industrial burners, internal combustion engines, and combustors for stationary power generation and aircraft propulsion

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Ige, Oluwafemi E., Kevin J. Duffy, Oludolapo A. Olanrewaju, and Obiora C. Collins. "An Integrated System Dynamics Model and Life Cycle Assessment for Cement Production in South Africa." Atmosphere 13, no. 11 (2022): 1788. http://dx.doi.org/10.3390/atmos13111788.

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Cement is one of the most produced materials globally. Population growth and urbanization cause an increased demand for the cement needed for expanding infrastructures. As a result of this circumstance, the cement industry must find the optimum compromise between increasing cement production and reducing the negative environmental impact of that production. Since cement production uses a lot of energy, resources and raw materials, it is essential to assess its environmental impact and determine methods for the sector to move forward in sustainable ways. This paper uses an integrated life cycle

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Piemjaiswang, R., and B. Chalermsinsuwan. "Statistical Study of the Effect of Particle Properties on the Particle Penetration in the Idealized Trachea." International Journal of Environmental Science and Development 11, no. 10 (2020): 477–82. http://dx.doi.org/10.18178/ijesd.2020.11.10.1293.

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The particulate matter (PM) is one of the harmful pollutants that causing an impact on human health. To study the significance of those small particle properties, the research had been conducted using three-dimensional computational fluid dynamics with the Eulerian-Lagrangian approach. The trajectories of the particles were tracked and recorded. The effect of particle diameter, particle density, and particle sphericity on the escaped particle percentage was investigated and characterized using the statistical analysis of variance. The results showed that the particle diameter, particle density

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Zghaid, Mustapha, Abdelfettah Benchrif, Mounia Tahri, et al. "Assessment of Air Pollution and Lagged Meteorological Effects in an Urban Residential Area of Kenitra City, Morocco." Atmosphere 16, no. 1 (2025): 96. https://doi.org/10.3390/atmos16010096.

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Complex mixtures of air pollutants, including ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), black carbon (BC), and fine particulate matter (PM2.5), present significant health risks. To understand the factors influencing air pollution levels and their temporal variations, comprehensive high-resolution long-term air pollution data are essential. This study analyzed the characteristics, lagged meteorological effects, and temporal patterns of six air pollutant concentrations over a one-year period at an urban residential site in Kenitra, Morocco. The results revea

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Hassan, Muhammad Azher, Tariq Mehmood, Ehtisham Lodhi, Muhammad Bilal, Afzal Ahmed Dar, and Junjie Liu. "Lockdown Amid COVID-19 Ascendancy over Ambient Particulate Matter Pollution Anomaly." International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13540. http://dx.doi.org/10.3390/ijerph192013540.

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Air is a diverse mixture of gaseous and suspended solid particles. Several new substances are being added to the air daily, polluting it and causing human health effects. Particulate matter (PM) is the primary health concern among these air toxins. The World Health Organization (WHO) addressed the fact that particulate pollution affects human health more severely than other air pollutants. The spread of air pollution and viruses, two of our millennium’s most serious concerns, have been linked closely. Coronavirus disease 2019 (COVID-19) can spread through the air, and PM could act as a host to

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Fronza, Raffaele, Marina Lusic, Manfred Schmidt, and Bojana Lucic. "Spatial–Temporal Variations in Atmospheric Factors Contribute to SARS-CoV-2 Outbreak." Viruses 12, no. 6 (2020): 588. http://dx.doi.org/10.3390/v12060588.

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The global outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causing coronavirus disease 2019 (COVID-19) has reached over five million confirmed cases worldwide, and numbers are still growing at a fast rate. Despite the wide outbreak of the infection, a remarkable asymmetry is observed in the number of cases and in the distribution of the severity of the COVID-19 symptoms in patients with respect to the countries/regions. In the early stages of a new pathogen outbreak, it is critical to understand the dynamics of the infection transmission, in order to follow c

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Hallberg, Lukas, Faruk Djodjic, and Magdalena Bieroza. "Phosphorus supply and floodplain design govern phosphorus reduction capacity in remediated agricultural streams." Hydrology and Earth System Sciences 28, no. 2 (2024): 341–55. http://dx.doi.org/10.5194/hess-28-341-2024.

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Abstract. Agricultural headwater streams are important pathways for diffuse sediment and nutrient losses, requiring mitigation strategies beyond in-field measures to intercept the transport of pollutants to downstream freshwater resources. As such, floodplains can be constructed along existing agricultural streams and ditches to improve fluvial stability and promote deposition of sediments and particulate phosphorus. In this study, we evaluated 10 remediated agricultural streams in Sweden for their capacity to reduce sediment and particulate phosphorus export and investigated the interplay bet

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Wang, Y. X., X. Y. Li, and J. H. W. Lee. "Modelling of sediment oxygen demand and organic flux for a pulsed sediment organic load." Water Science and Technology 54, no. 11-12 (2006): 85–92. http://dx.doi.org/10.2166/wst.2006.838.

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Biodegradation of organic matter in the sediment affects both the level of dissolved oxygen (DO) in the overlaying water and material flux into the water body. In the present study, a mathematical model was developed to describe the DO dynamics and related organic transformation in the sediment after a pulsed load of rich organic, sediment. The model includes DO diffusion at the sediment–water interface and inside the sediment, diagenetic reactions of particulate organic to soluble organic, substances, biodegradation of soluble organic, and related DO consumption. The model can simulate sedime

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Firdaus, Ghuncha. "Urbanization and Changing Air Quality in Delhi–A Comparative Analysis and Strategy for Its Better Management." Asian Journal of Water, Environment and Pollution 8, no. 1 (2011): 23–31. http://dx.doi.org/10.3233/ajw-2011-8_1_05.

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Air pollution, a demon created by mankind, can lead to consequences lasting from hours to decades. It has become a serious and growing problem in rapidly expanding cities of India where unprecedented and unplanned urbanization accompanied by rapid vehicular growth are among the major factors that exacerbate air quality. Delhi, the capital city of India, is facing an uphill task to provide clean air to its citizens. The present study analyzes the data of particulate pollutants (i.e. SPM, RSPM or PM10) concentration over the 17 years to assess the changing ambient air quality of the study area.

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Voultsou, Dionysia Maria, Stratos Saliakas, Spyridon Damilos, and Elias P. Koumoulos. "Computational Fluid Dynamics as a Digital Tool for Enhancing Safety Uptake in Advanced Manufacturing Environments Within a Safe-by-Design Strategy." Materials 18, no. 2 (2025): 262. https://doi.org/10.3390/ma18020262.

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In modern manufacturing environments, pollution management is critical as exposure to harmful substances can cause serious health issues. This study presents a two-stage computational fluid dynamic (CFD) model to estimate the distribution of pollutants in indoor production spaces. In the first stage, the Reynolds-averaged Navier–Stokes (RANS) method was used to simulate airflow and temperature. In the second stage, the Lagrangian method was applied for particle tracing. The model was applied to a theoretical acrylonitrile butadiene styrene (ABS) filament 3D printing process to evaluate the fac

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Li, Yongzhen, Xiao Yang, Yujian Lu, Chao Liang, Zhengxiang Shi, and Chaoyuan Wang. "Annual Dynamics of Concentrations and Emission Rates of Particulate Matter and Ammonia in a Large-Sized, Low-Profile, Cross-Ventilated Dairy Building." Agriculture 14, no. 12 (2024): 2338. https://doi.org/10.3390/agriculture14122338.

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Low-profile, cross-ventilated (LPCV) dairy barns represent a modern trend in farm buildings but are associated with notable air quality challenges. To evaluate the annual variations in the pollutants in an LPCV dairy barn, an Internet-of-Things (IoT)-based environmental monitoring system was installed to continuously measure the total suspended particle (TSP), particle with aerodynamic diameters of ≤2.5 μm (PM2.5), and NH3 concentrations year round at multiple points. Spatiotemporal distributions and main factors were analyzed. The results showed that the annual average concentrations of indoo

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Jovanovic, Luka, Gordana Jovanovic, Mirjana Perisic, et al. "The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate." Atmosphere 14, no. 1 (2023): 109. http://dx.doi.org/10.3390/atmos14010109.

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In this paper, we explore the computational capabilities of advanced modeling tools to reveal the factors that shape the observed benzene levels and behavior under different environmental conditions. The research was based on two-year hourly data concentrations of inorganic gaseous pollutants, particulate matter, benzene, toluene, m, p-xylenes, total nonmethane hydrocarbons, and meteorological parameters obtained from the Global Data Assimilation System. In order to determine the model that will be capable of achieving a superior level of performance, eight metaheuristics algorithms were teste

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Gutama, Soni Andika, Sri Suryani Prasetiyowati, and Yuliant Sibaroni. "Prediction of Classification of Air Quality Distribution in Java Island using ANN with Time-Based Feature Expansion and Spatial Analysis." International Journal on Information and Communication Technology (IJoICT) 10, no. 2 (2025): 270–86. https://doi.org/10.21108/ijoict.v10i2.1035.

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Air pollution is a major concern that significantly impacts human health and the environment, especially in densely populated and economically active areas like Java, Indonesia. Air pollution is primarily caused by motor vehicles and industrial activities, leading to higher concentrations of harmful pollutants such as carbon monoxide (CO), nitrogen oxides (NOx), and particulate matter (PM10). In this study, an Artificial Neural Network (ANN) model is employed to forecast air quality classifications across Java Island, utilizing time-based features and spatial analysis. The model achieves an im

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Khan, Sarah, Quamrul Hassan, Kaushal Kumar, et al. "Modelling the Impact of Road Dust on Air Pollution: A Sustainable System Dynamics Approach." E3S Web of Conferences 430 (2023): 01176. http://dx.doi.org/10.1051/e3sconf/202343001176.

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Road dust contributes significantly to air pollution by releasing fine particulate matter (PM) and other pollutants into the air, which can cause respiratory and cardiovascular problems and premature death. This dust is generated through the wear and tear of vehicle tires and road surfaces, as well as the accumulation of dirt and debris on the road, primarily from construction activities and cargo trucks carrying building materials. Wind, weather conditions, and vehicle movement play crucial roles in the distribution and concentration of these particles in the air. To address this issue, this

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Guigue, Catherine, Lionel Bigot, Jean Turquet, et al. "Hydrocarbons in a coral reef ecosystem subjected to anthropogenic pressures (La Réunion Island, Indian Ocean)." Environmental Chemistry 12, no. 3 (2015): 350. http://dx.doi.org/10.1071/en14194.

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Environmental context Hydrocarbons are among the most widespread and harmful pollutants found in the aquatic media. Although they have been investigated in various temperate coastal environments, their dynamics in coral reef tropical ecosystems, which are under increasing human pressure, remain poorly understood. It was found that hydrocarbons had moderate to high concentrations, multiple origins (biogenic and anthropogenic) and could be used to track inland intrusions in fore reef waters of the eutrophicated La Saline reef ecosystem (La Réunion Island, Indian Ocean). Abstract The La Saline fr

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Zhang, Weiji, Han Zhao, Ang Zhao, Jiaqiao Lin, and Rui Zhou. "Current Status, Challenges and Resilient Response to Air Pollution in Urban Subway." Atmosphere 10, no. 8 (2019): 472. http://dx.doi.org/10.3390/atmos10080472.

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Subway air pollution mainly refers to inhalable particulate matter (PM) pollution, organic pollution, and microbial pollution. Based on the investigation and calculation of the existing researches, this paper summarizes the sources of air pollutants, chemical compositions, and driving factors of PM variations in subway. It evaluates the toxicity and health risks of pollutants. In this paper, the problems and challenges during the deployment of air pollution governance are discussed. Results show that the global PM compliance rate of subway is about 30%. Subway air pollution is endogenous, whic

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Savastru, Dan, Maria A. Zoran, Roxana Savastru, Marina N. Tautan, and Daniel V. Tenciu. "Time Series Satellite and Observational Data for Assessment of Urban Air Pollution and Climate Dynamics Impacts on COVID-19 transmission in Bucharest." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 20 (October 26, 2023): 8–15. http://dx.doi.org/10.37394/232015.2024.20.2.

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This study conducts a complex analysis to evaluate urban air pollution and climate dynamics impacts on COVID-19 viral infection incidence and mortality in Bucharest metropolitan city in Romania. It is motivated by the COVID-19 pandemic occurrence and environmental/health challenges caused by increasing urbanization in Bucharest. This paper presents the temporal patterns characteristics of the main air pollutants PM2.5 and PM10 (inhalable particulate matter with aerodynamic size less than or equal to 2.5 µm and 10 µm, respectively) as well as nitrogen dioxide-NO2, ozone-O3, sulfur dioxide-SO2,

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Letaïef, Sarah, Pierre Camps, Thierry Poidras, Patrick Nicol, Delphine Bosch, and Romane Pradeau. "Biomagnetic Monitoring vs. CFD Modeling: A Real Case Study of Near-Source Depositions of Traffic-Related Particulate Matter along a Motorway." Atmosphere 11, no. 12 (2020): 1285. http://dx.doi.org/10.3390/atmos11121285.

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A test site located along a 12-lane motorway east of Montpellier, France, is used to evaluate the potential of biomagnetic monitoring on traffic-related particulate matter (PM) to parametrize a computational fluid dynamics (CFD) simulation of the local airflow. Two configurations were established on the site with three vegetated flat-top earth berms of a basic design, and a fourth one was located windward to the traffic roofed with a 4-m-high precast concrete wall. As a first step, PM deposition simultaneously on plant leaves, on low-cost passive artificial filters, and on soils was estimated

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Crawford, Ben, David H. Hagan, Ilene Grossman, et al. "Mapping pollution exposure and chemistry during an extreme air quality event (the 2018 Kīlauea eruption) using a low-cost sensor network." Proceedings of the National Academy of Sciences 118, no. 27 (2021): e2025540118. http://dx.doi.org/10.1073/pnas.2025540118.

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Extreme air quality episodes represent a major threat to human health worldwide but are highly dynamic and exceedingly challenging to monitor. The 2018 Kīlauea Lower East Rift Zone eruption (May to August 2018) blanketed much of Hawai‘i Island in “vog” (volcanic smog), a mixture of primary volcanic sulfur dioxide (SO2) gas and secondary particulate matter (PM). This episode was captured by several monitoring platforms, including a low-cost sensor (LCS) network consisting of 30 nodes designed and deployed specifically to monitor PM and SO2 during the event. Downwind of the eruption, network sta

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Arvin, E., and P. Harremoës. "Concepts and Models for Biofilm Reactor Performance." Water Science and Technology 22, no. 1-2 (1990): 171–92. http://dx.doi.org/10.2166/wst.1990.0145.

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This paper reviews the state of knowledge of the basic mechanisms governing transformation of pollutants and the present approaches with which to predict the performance of biofilm reactors. The design of biofilm reactors is based mainly on empirical loading criteria or empirical design formulae. Introduction of more stringent effluent requirements, new types of biofilm reactors, as well as application of biofilm reactors to more untraditional types of waste materials, calls for new design procedures with higher degrees of confidence. Most new attempts to model biofilm reactors are based on fu

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