Air quality analysis and modeling in urban area: A review study

Toral Vyas 1, * and H. R. Varia 2

1 Department of Civil Engineering, L.D. College of Engineering, Ahmedabad, India.
2 Civil and Infrastructure Engineering, Adani Institute of Infrastructure Engineering, Ahmedabad, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 20(01), 660–669
Article DOI: 10.30574/wjarr.2023.20.1.2096
 
Publication history: 
Received on 03 September 2023; revised on 13 October 2023; accepted on 16 October 2023
 
Abstract: 
Urban areas across the world are experiencing significant challenges related to air quality, with adverse effects on public health, the environment, and overall quality of life. This thesis aims to investigate and model air quality in urban environments, focusing on the identification of pollution sources and the evaluation of potential mitigation strategies.
The research begins by analyzing the complex interplay of factors influencing urban air quality, including emissions from vehicular traffic, industrial activities, and meteorological conditions. Various modeling techniques, such as numerical simulations, statistical analyses, and machine learning algorithms, are employed to assess the spatiotemporal distribution of air pollutants within urban areas. The overview is carried out to focus on various parameters such as emission sources, meteorological parameters, and topographical features to predict pollutant concentrations.
The study also explores the effectiveness of different mitigation strategies to improve urban air quality. These strategies may include urban planning measures, such as the design of green spaces and pedestrian-friendly zones, as well as transportation-related interventions like the promotion of electric vehicles and the enhancement of public transportation systems. The impact of these strategies on reducing pollutant concentrations is quantitatively assessed using the developed air quality models.
Furthermore, the study considers the implications of climate change on urban air quality, acknowledging that changing climate patterns can exacerbate air pollution issues. Potential adaptation strategies to address these challenges are discussed.
In conclusion, this thesis offers a comprehensive analysis of air quality modeling in urban areas, providing insights into the sources of pollution and the effectiveness of mitigation measures. The research aims to inform policymakers, urban planners, and environmental stakeholders in their efforts to create healthier and more sustainable urban environments.
 
Keywords: 
Urban area; Air quality; Particulate matter; NOx
 
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