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Air quality and urban sustainable development: the application of machine learning tools

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Air quality and urban sustainable development: the application of machine learning tools

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Molina-Gómez, NI.; Díaz-Arévalo, JL.; López Jiménez, PA. (2021). Air quality and urban sustainable development: the application of machine learning tools. International Journal of Environmental Science and Technology. 18(4):1-18. https://doi.org/10.1007/s13762-020-02896-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/164064

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Title: Air quality and urban sustainable development: the application of machine learning tools
Author: Molina-Gómez, N. I. Díaz-Arévalo, J. L. López Jiménez, Petra Amparo
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Embargo end date: 2021-08-19
Abstract:
[EN] Air quality has an efect on a population¿s quality of life. As a dimension of sustainable urban development, governments have been concerned about this indicator. This is refected in the references consulted that have ...[+]
Subjects: Air pollution , Sustainability , Forecasting , Sustainable development goals , Infuencing variables
Copyrigths: Embargado
Source:
International Journal of Environmental Science and Technology. (issn: 1735-1472 )
DOI: 10.1007/s13762-020-02896-6
Publisher:
Springer-Verlag
Publisher version: https://doi.org/10.1007/s13762-020-02896-6
Type: Artículo

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