Polytech'Lab
Polytech Nice-Sophia - UNS-UCA

Polytech'Lab
Polytech
Nice-Sophia, Polytech'Lab
Parc de Sophia Antipolis
930 Route des Colles
06410 Biot
France
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Thèse soutenue le 9 décembre 2016

Rafael Vargas Bringas
Directeur Thèse Polytech'Lab Philippe Gourbesville
 
Titre

Modélisation hydrologique déterministe pour l'évaluation des risques d'inondation dans les grands environnements urbains : application à Mexico

Résumé

According to the World Risk Report released by the United Nations University Institute for Environment and Human Security, Mexico has a vulnerability of 46% and a lack of coping capacity of 76% in terms of disaster risk. One of those disaster risks is flooding which poses a serious challenge to the development and the lives of the inhabitants of Mexico. Mexico City is facing problems of flooding in some areas at certain times of the year, causing important losses and damages on properties and residents including some casualties. Therefore, it is important to carry out a flood risk assessment in the catchment of Mexico City and estimate damages of probable flood events. However, limited data of observed discharges and water depths in the main rivers of the city are available, and this represents an obstacle for the understanding of flooding in Mexico City. For these reasons, several studies have to be carried out in order to have a clear understanding of the catchment, which involve, meteorological and hydrological/ hydraulic studies, rainfall distribution, runoff analysis, flood risk and vulnerability, and these studies allow the estimation of direct and indirect damages to the economy, to assets and to human life. The premise of this study is that with the limited data and resources available, the catchment can be represented to an acceptable degree by the construction of a deterministic hydrological model of the Mexico City basin. The objective of the developed tool is to provide an efficient support to management of the flood processes by predicting the behaviour of the catchment for different rainfall events and flood scenarios.