Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain

被引：0

作者：

González-Pardo, Jaime ^{[1
]}

Ceballos-Santos, Sandra ^{[1
]}

Manzanas, Rodrigo ^{[2
]}

Santibáñez, Miguel ^{[3
,4
]}

Fernández-Olmo, Ignacio ^{[1
]}

机构：

[1] Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. de Los Castros s/n, Santander,Cantabria,39005, Spain

[2] Santander Meteorology Group, Dpto. De Matemática Aplicada y Ciencias de la Computación, Universidad de Cantabria, Santander,39005, Spain

[3] Department of Nursing, Global Health Research Group, Universidad de Cantabria, Avda. Valdecilla s/n, Santander,Cantabria,39008, Spain

[4] Research Nursing Group, IDIVAL, Calle Cardenal Herrera Oria s/n, Santander,Cantabria,39011, Spain

来源：

Science of the Total Environment | 2022年 / 823卷

关键词：

Jaime Gonzalez-Pardo reports financial support was provided by Fundacion BBVA . Sandra Ceballos-Santos reports financial support was provided by Fundacion BBVA .This research was developed in the framework of the project Contaminación atmosférica y COVID-19: ¿Qué podemos aprender de esta pandemia; selected in the Extraordinary BBVA Foundation grant call for SARS-CoV-2 and COVID-19 research proposals; within the area of ecology and veterinary science;

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