Estimation of air pollutants emission (PM10, CO, SO2 and NOx) during development of the industry using AUSTAL 2000 model: A new method for sustainable development

Atamaleki, Ali; Zarandi, Saeed Motesaddi; Fakhri, Yadolah; Mehrizi, Ehsan Abouee; Hesam, Ghasem; Faramarzi, Meysam; Darbandi, Mahdiyeh

doi:10.1016/j.mex.2019.06.010

Cited by 18 publications

(7 citation statements)

References 42 publications

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“…Therefore, several methods have been used to analyse and estimate air pollutants in several areas. These include the urban areas, power plants, as well as development of industry [ 38 , 39 , 40 , 41 ]. However, to understand the basic concept of how the inhaled pollutant affects the human respiratory system, the last step of the study is to analyse the transport and deposition behaviour of PM 2.5 in healthy and diseased airways.…”

Section: Methodsmentioning

confidence: 99%

Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts

Islam

Fang

Oldfield

et al. 2022

IJERPH

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The depletion of air quality is a major problem that is faced around the globe. In Australia, the pollutants emitted by bushfires play an important role in making the air polluted. These pollutants in the air result in many adverse impacts on the environment. This paper analysed the air pollution from the bushfires from November 2019 to July 2020 and identified how it affects the human respiratory system. The bush fires burnt over 13 million hectares, destroying over 2400 buildings. While these immediate effects were devastating, the long-term effects were just as devastating, with air pollution causing thousands of people to be admitted to hospitals and emergency departments because of respiratory complications. The pollutant that caused most of the health effects throughout Australia was Particulate Matter (PM) PM2.5 and PM10. Data collection and analysis were covered in this paper to illustrate where and when PM2.5 and PM10, and other pollutants were at their most concerning levels. Susceptible areas were identified by analysing environmental factors such as temperature and wind speed. The study identified how these pollutants in the air vary from region to region in the same time interval. This study also focused on how these pollutant distributions vary according to the temperature, which helps to determine the relationship between the heatwave and air quality. A computational model for PM2.5 aerosol transport to the realistic airways was also developed to understand the bushfire exhaust aerosol transport and deposition in airways. This study would improve the knowledge of the heat wave and bushfire meteorology and corresponding respiratory health impacts.

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Section: Methodsmentioning

confidence: 99%

Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts

Islam

Fang

Oldfield

et al. 2022

IJERPH

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“…Rapid economic growth has prompted the intensive use of fossil fuels, which has increased particulate concentrations of PM . (atmospheric ne particles with an aerodynamic diameter less than 2.5 µm) and PM (atmospheric coarse particles with an aerodynamic diameter less than 10 µm), as well as concentrations of gases such as nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), ozone (O 3 ), and greenhouse gases such as carbon dioxide (CO 2 ) (Atamaleki et al, 2019;Bastola and Sapkota, 2015). Particulate matter plays an important role in public health, generating negative effects on organs such as the lungs, heart, and brain (Delgado-Saborit et al, 2021; Lipfert, 2018; Yao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Spatial variation, temporal evolution, and source direction apportionment of PM₁, PM₂.₅, and PM₁₀: three-year assessment in Turin (Po Valley)

Mecca,

Boanini,

Vaccaro

et al. 2024

Preprint

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As the population of urban areas is increasing continually, analysis of the particulate concentration dynamics in these areas is crucial. Therefore, this study investigated the temporal and spatial variabilities of PM₁, PM₂.₅, and PM₁₀ over the urban area of Turin in the Po Valley, Italy, based on high-resolution data from a monitoring campaign conducted between 2018 and 2021. The study also performed a source direction analysis of the urban observation using the conditional bivariate probability function (CBPF). The results showed substantial differences in PM₁₀ concentration at background (28.61 µg/m³), urban (30.21 µg/m³), and traffic stations (36.16 µg/m³). PM₂.₅ concentration was highest at traffic stations (23.51 µg/m³). During the day, the highest values occurred at 9:00–11:00 AM, and the lowest concentrations occurred at 4:00–6:00 PM. The concentration peak position changed in a daily bimodal trend with the season. According to the CBPF, the relevant external particulate contributions to the Turin area are from the direction of the Po Valley (N–NE) and the typical direction of Saharan dust transport (S–SW). The present study contributes to scientific understanding by providing information on one of the main European pollutant hot spots and discussing the trends of emerging pollutants, like PM₁.

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“…Mobile measuring equipment, such as unmanned aerial vehicles, can be used to transport measuring devices [14,15] or small stationary devices [16]. Numerical programs available include Aero 2010, Emitor, OPA03 [17], AERMOD [18], ENVI-met, and Austal 2000 [19,20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Air Pollution around a CHP Plant: Real Measurements vs. Computer Simulations

Cichowicz

Dobrzański

2022

Energies

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This study examines the concentrations of air pollution in the vicinity of a combined heat and power plant (CHP) and a communication route, using computer modeling of pollutant dispersion and spatial analysis based on real measurements in the city of Łódź, Poland, Europe. The research takes into account the concentrations of particulate matter (PM10, PM2.5, PM1.0) and gaseous pollutants (SO2 and VOC) in winter and summer. The spatial distribution of pollutants is discussed, including the presence of areas with increased accumulations of pollutants. Because atmospheric air has no natural boundaries, when analyzing any location, not only local sources of pollution, but also background pollution, should be analyzed. A clear difference was observed between the concentrations of pollutants in the summer and winter seasons, with significantly higher concentrations in the winter (heating) period. The impacts of road transport, individual heating systems, and combined heat and power plants were also assessed. Computer calculations confirmed that road transport accounted for the largest share of both PM and SO2 emissions. The CHP plant was responsible for the smallest percentage of dust emissions and was the next largest producer of SO2 emissions. The share of the total emissions from the individual sources were compared with the results of detailed field tests. The numerical analysis of selected pollution sources in combination with the field analysis shows that the identified pollution sources included in the analysis represent only a part of the total observed pollutant concentrations (suggesting that other background sources account for the rest).

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Estimation of air pollutants emission (PM10, CO, SO2 and NOx) during development of the industry using AUSTAL 2000 model: A new method for sustainable development

Abstract: Graphical abstract

Cited by 18 publications

References 42 publications

Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts

Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts

Spatial variation, temporal evolution, and source direction apportionment of PM₁, PM₂.₅, and PM₁₀: three-year assessment in Turin (Po Valley)

Analysis of Air Pollution around a CHP Plant: Real Measurements vs. Computer Simulations

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