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  • Prediction of PM10, SO2, NO2,...

Treffer: Prediction of PM10, SO2, NO2, O3, and CO Concentrations in Guadalajara Using ARIMA and Open Data with Python.

Title:
Prediction of PM10, SO2, NO2, O3, and CO Concentrations in Guadalajara Using ARIMA and Open Data with Python.
Authors:
Salas López, Julio Cesar1 juve@micorreo.upp.edu.mx, Zarazúa Silva, Juvencio Sebastián1, Ruiz-Vanoye, Jorge A.1, Julio C. Salgado-Ramírez, Eric Simancas-Acevedo1, Díaz-Parra, Ocotlán1
Source:
International Journal of Combinatorial Optimization Problems & Informatics. May-Aug2025, Vol. 16 Issue 3, p25-35. 11p.
Subject Terms:
*AIR quality, *POLLUTION, *HEALTH impact assessment, *PYTHON programming language, *BOX-Jenkins forecasting, *ENVIRONMENTAL monitoring, *DATA analysis, *CITIES & towns
Geographic Terms:
GUADALAJARA (Mexico)
Database:
Academic Search Index

Weitere Informationen

Air quality in Guadalajara has deteriorated in recent years, becoming a serious health concern for the local population. In response, this project seeks to mitigate the impact of pollution by developing a prediction platform based on ARIMA models implemented in Python. The system will analyse historical pollutant levels--including PM2.5, PM10, SO2, NO2, O3 and CO-- enabling the anticipation of high-pollution episodes. Armed with this information, both citizens and authorities will be able to take timely preventative measures. Given the growing interest in air quality and its implications for health, this tool will furnish valuable data for informed decision-making. Moreover, it will facilitate trend analysis and permit short-term forecasts, helping to identify potential pollution episodes before they occur. [ABSTRACT FROM AUTHOR]