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arXiv · 2112.15115

Aim in Climate Change and City Pollution

Pablo Torres·Beril Sirmacek·Sergio Hoyas·Ricardo Vinuesa
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Abstract

The sustainability of urban environments is an increasingly relevant problem. Air pollution plays a key role in the degradation of the environment as well as the health of the citizens exposed to it. In this chapter we provide a review of the methods available to model air pollution, focusing on the application of machine-learning methods. In fact, machine-learning methods have proved to importantly increase the accuracy of traditional air-pollution approaches while limiting the development cost of the models. Machine-learning tools have opened new approaches to study air pollution, such as flow-dynamics modelling or remote-sensing methodologies.

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Pablo Torres, Beril Sirmacek, Sergio Hoyas, Ricardo Vinuesa. 2021-12-30. Aim in Climate Change and City Pollution. https://arxiv.org/abs/2112.15115

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