Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities.

Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities.

In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study,...

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Main Authors: Fidel Vallejo, Diana Yánez, Patricia Viñán-Guerrero, Luis A Díaz-Robles, Marcelo Oyaneder, Nicolás Reinoso, Luna Billartello, Andrea Espinoza-Pérez, Lorena Espinoza-Pérez, Ernesto Pino-Cortés
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0314278
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https://doi.org/10.1371/journal.pone.0314278

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