Statistical analysis of Sirba river's rainfalls

With the ongoing changing climate, it is important to closely monitor weather patterns, especially rainfall. In Europe and developed countries, rainfall data is often easy to collect and analyze. However, in less developed countries, such data, particularly from rain gauges, can be limited, disorganized, or both. Without a clear understanding of past rainfall events, it is difficult to implement effective flood protection measures. This paper aims to analyze rainfall patterns in the Sirba Basin, situated in the east of Burkina Faso, using hydrological statistical techniques. The objective is to quantify cumulative probabilities of some distributions, as well as the DDF and the IDF curves, and study the spatial distribution of important rainfall statistics. The Polytechnic University of Turin has contributed to the SLAPIS Project (acronym for the French Système Locale d’Alerte Précoce pour les Inondations au Sahel, in English Local Early Warning System for Floods in the Sahel), aimed at building an early warning system for floods in the Sirba Basin. Many researchers from this institution have contributed, and continue to contribute, to this project through various academic papers, making them a reliable source of information. Although apparently simple, this study does not aim to introduce innovative concepts, but rather to implement commonly known ideas among hydrologists, with the hope of being useful for future studies.