Statistical analysis of Sirba river's rainfalls
Liviu Toader Busteaga
Statistical analysis of Sirba river's rainfalls.
Rel. Daniele Ganora. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2024
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Abstract
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
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