Affiliation:
1. Department of Mathematics and Industrial Engineering Polytechnique Montréal 2500, chemin de Polytechnique, Montréal (Québec) H3T 1J4 CANADA
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.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
General Energy,General Environmental Science,Geography, Planning and Development
Reference8 articles.
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