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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
Published on: January 7, 2019
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CFD model to study PM[Formula: see text] dispersion in large-scale open spaces.
V M Fernández-Pacheco1, E Álvarez-Álvarez1, E Blanco-Marigorta1
1Energy Department, University of Oviedo, Wifredo Ricart s/n, 33204 Gijón, Asturias Spain.
Scientific Reports
|April 12, 2023
Summary
This study developed a computational fluid dynamics model to simulate air pollutant dispersion in Gijón. The model reveals how terrain and industrial emissions impact air quality, aiding pollution control strategies.
Area of Science:
- Environmental Science
- Atmospheric Science
- Computational Modeling
Background:
- Air pollution is a significant issue in urban and industrial zones.
- Fixed-point monitoring stations lack the ability to track pollutant spatial distribution.
- Existing methods struggle to capture the dynamic spread of airborne contaminants.
Purpose of the Study:
- To develop and validate a computational fluid dynamics (CFD) model for simulating pollutant dispersion in Gijón.
- To analyze the impact of terrain and emission sources on air quality.
- To provide a tool for observing the spatial evolution of pollutants in large urban areas.
Main Methods:
- Implementation of a Computational Fluid Dynamics (CFD) model for a 12x18 km urban area.
- Simulation of pollutant dispersion under various wind conditions.
- Inclusion of two distinct emission sources to represent industrial and diffuse pollution.
Main Results:
- The study demonstrates the significant influence of terrain on pollutant dispersion patterns.
- The model effectively visualizes the origin and spread of diffuse industrial pollution over Gijón.
- Analysis of particle concentration variations at different heights was achieved.
Conclusions:
- A validated methodology for generating numerical models to observe pollutant spatial evolution in large areas has been established.
- The CFD model provides valuable insights for identifying high-contamination zones.
- This approach supports the evaluation of corrective measures for improving urban air quality.
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