Work

Analysis of the Behavior of the Ozone Time Series in México City Using Machine Learning Trend 2010 - 2024

Year: 2025

Type: article

Abstract: This new study includes an analysis and forecast of the time series of daily ozone maxima for 2024 and daily concentrations, plus a trend from 2010 to 2024 for the case of daily ozone maxima in Mexico City, Machine Learning and Deep Learning algorithms are used to study the behavior, as well as the classic ARIMA method for evaluation of the forecast model.RMSE, MSE, MAE and MAPE were used.

Source: International journal of latest research in engineering and technology.

DOI: 10.56581/ijlret.11.04.09-25

Author: Zenteno Jiménez José Roberto

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: bronze

OpenAlex ID: W4410306266

FWCI:

Cites:

Cited by:

Related to: 10