Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements

Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements

According to the Air Quality Directive 2008/50/EC, air quality zoning divides a territory into air quality zones where pollution and citizen exposure are similar and can be monitored using similar strategies. However, there is no standardized computational methodology to solve this problem, and only...

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Bibliographic Details
Main Authors: Eduardo Illueca Fernandez, Antonio Jesus Jara Valera, Jesualdo Tomas Fernandez Breis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Air quality
artificial neural networks
atmospheric modeling
clustering algorithms
deep learning
Online Access:https://ieeexplore.ieee.org/document/10460554/

Internet

https://ieeexplore.ieee.org/document/10460554/

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