What is it about?
This study focuses on predicting the levels of ozone (O3), a harmful air pollutant, using advanced forecasting models. The research compares traditional statistical models like SARIMA (Seasonal Autoregressive Integrated Moving Average) with more modern approaches, including the Facebook Prophet model. By analyzing ozone data from Marrakech, Morocco, and integrating meteorological factors like temperature and wind speed, this study aims to improve the accuracy of ozone predictions. These advancements are crucial for city planners and environmental agencies in managing air quality and protecting public health, especially in fast-growing urban areas.
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Why is it important?
This research is important because air pollution is a significant health risk, especially in urban environments. Ozone, in particular, can cause respiratory issues and other health problems. By improving our ability to predict ozone levels, this study helps cities take preventive measures to reduce pollution exposure. The comparison of different models also provides valuable insights into which methods are most effective for predicting ozone levels, offering a path toward more reliable air quality management. The findings are especially relevant for developing regions like Morocco, where effective air quality management can have a profound impact on public health.
Perspectives
This study has been particularly rewarding because it bridges environmental science with cutting-edge AI technologies. The challenge of predicting ozone levels, especially in the dynamic urban setting of Marrakech, was both complex and exciting. By combining statistical methods with AI, we have developed a more reliable way to forecast air quality, which can have a real-world impact on the health and well-being of city residents. I hope this research inspires others to explore how AI can help address environmental challenges, especially in cities where pollution levels are a growing concern.
BEKKAR Abdellatif
Faculty of Sciences and Technologies, Mohammedia (FSTM)
Read the Original
This page is a summary of: Forecasting Ozone Levels in Morocco, May 2024, IGI Global,
DOI: 10.4018/979-8-3693-3807-0.ch002.
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