Aim in Climate Change and City Pollution

• URL: http://arxiv.org/abs/2112.15115v1
• Date: Thu, 30 Dec 2021 16:17:46 GMT
• Title: Aim in Climate Change and City Pollution
• Authors: Pablo Torres, Beril Sirmacek, Sergio Hoyas, Ricardo Vinuesa
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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