Modeling the Effects of Vegetation on Air Purification Through Computational Fluid Dynamics in Different Neighborhoods of Beijing

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 995 - 995

Published: March 21, 2025

Previous research has established that vegetation can significantly improve air quality. However, numerical simulations examining the purification effects of on pollutants at neighborhood scale remain limited, particularly regarding different typologies. This study detailed vegetation, buildings, and pollution emissions within neighborhoods by combining high-resolution imagery with field surveys. Then, a computational fluid dynamics model—validated through monitoring—was used to design two scenarios simulate evaluate air-purifying in typical Beijing neighborhoods. The simulation results were also well validated trial-and-error method compared computation absorption coefficients. Findings indicated Dashilar Traditional Hutong Community, contributed reductions 2.39% PM2.5 3.35% CO, whereas east campus University Technology Pingleyuan, more substantial, reaching 10.07% for 8.21% CO. showed size configuration green patches directly influence efficiency, consolidated areas outperforming scattered particle deposition. Additionally, extensive near high-rise buildings may not yield intended benefits. These findings provide robust scientific basis sustainable urban planning practices aimed enhancing

Language: Английский

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Effect of fetch on street canyon flow field and pollutant dispersion.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113105 - 113105

Published: April 1, 2025

Language: Английский

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Effects of sea-land breeze on air pollutant dispersion in street networks with different distances from coast using WRF-CFD coupling method

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 115, P. 105757 - 105757

Published: Sept. 19, 2024

Language: Английский

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A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 9, 2024

Abstract Air is an essential human necessity, and inhaling filthy air poses a significant health risk. One of the most severe hazards to people’s pollution, appropriate precautions should be taken monitor anticipate its quality in advance. Among all countries, India decreasing daily, which matter concern department. Many studies use machine learning Deep methods predict atmospheric pollutant levels, prioritizing accuracy over interpretability. research confuse researchers readers about how proceed with further research. This paper aims give every detail considered pollutants brief techniques used, their advantages, challenges faced during prediction, leads better understanding before starting any related prediction. has given numerous prospective questions on pollution that piqued study’s interest. study discussed various deep optimization techniques. Despite techniques, concluded more datasets, variety suggestions would enhance interpretability while maintaining high for The purpose this review also reveal family neural network algorithms helped across globe pollutant(s).

Language: Английский

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Road intersection analysis: integrating image processing into digital twin technologies

Published: June 20, 2024

We present a real-time system for vehicle detection and classification in road intersections, incorporating image processing techniques. This estimates the traffic flow at specific point, as it is capable of recognizing trajectories different vehicles an intersection, inferring whether they leave or enter city. It designed to be integrated into high-fidelity digital twin, aiding estimating environmental pollutants. Since Computational Fluid Dynamics (CFD) use estimators like average aggregate measurements, we more accurate methods estimate pollution. The implications our study are significant urban planning management. allows immediate decisions informs long-term infrastructure by providing deep understanding intersection dynamics. Our research offers comprehensive perspective on analysis, introducing data-driven management strategies efficient mobility. code developed this purpose can found \https://github.com/capo-urjc/TrackingSORT

Language: Английский

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A detailed simulation study on radionuclide dispersion under spent fuel road transportation conditions: Effects of vessel type and coniferous vegetation growth

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 135397 - 135397

Published: Aug. 2, 2024

Language: Английский

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Expiratory aerosols' spread, removing and infection risk investigation in public toilet: CFD and machine learning

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110725 - 110725

Published: Sept. 12, 2024

Language: Английский

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A numerical study on the issue of Reynolds independence of flow and dispersion within isolated street canyons

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112202 - 112202

Published: Oct. 1, 2024

Language: Английский

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Is the proper orthogonal decomposition suitable to validate simulation of turbulent wake?

Journal of Wind Engineering and Industrial Aerodynamics, Journal Year: 2024, Volume and Issue: 255, P. 105953 - 105953

Published: Nov. 21, 2024

Language: Английский

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