Affiliation:
1. Faculty of Science and Techniques, University Hassan II-Casablanca, Mohammedia, Morocco
2. FMPR, Mohammed V University in Rabat, Morocco
Abstract
Ozone pollution poses a significant environmental and health challenge in Marrakech, Morocco, intensified by urban and industrial growth. This study compares two statistical models, SARIMA and Facebook Prophet, for accurate O3-level forecasting in Marrakech. Through time series analysis, we assess their performance using metrics like MAE, MAPE, and RMSE. The findings highlight the Facebook Prophet model's superior accuracy, attributed to its better handling of seasonality and adaptability to unusual events. This research aids environmental and public health efforts in Marrakech by offering insights into ozone trends, supporting informed policymaking to combat ozone pollution.
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