Abstract

The monthly variations of major floods are modelled as a discrete-time Markov chain. Based on this stochastic process, it is possible, with the help of real-life data, to forecast the future variations of these events. We are interested in the duration of the floods and in the area affected. By dividing the data set into two equal parts, we can try to determine whether there are signs of the effects of climate change or global warming.

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