ATLAS REGIONAL REGION du TADLA AZILAL MAROC

International audienceRegional Atlas of the Tadla-Azilal region (Morocco), carried out through a Volubilis "Programme d’Action Intégrée" funded by the "Comité Mixte Interuniversitaire Franco-Marocain" involving ESO-Angers (UMR CNRS 6590) of Angers University (France), Sultan Moulay Slimane University of Beni Mellal (Morocco) and EHESS Paris LATES (France). It puts into perspective the different elements to highlight or to preserve and participates in providing tangible answers to the development and planning of this region. After a historical, physical and human overview are developed the specific dynamics and issues of the three regional units (mountain, piedmont, plain) and the cross-cutting issues about water, migratory question, risks and potential and recognized heritage.L’Atlas régional de la région du Tadla-Azilal au Maroc a été réalisé à la suite d’un Programme d’Action Intégrée Volubilis soutenu par le Comité Mixte Interuniversitaire Franco-Marocain de 2005 à 2008 associant ESO-Angers (UMR CNRS 6590) de l’Université d’Angers (France), l’Université Sultan Moulay Slimane de Beni Mellal (Maroc) et le LATES de l’EHESS de Paris (France).L'atlas permet de mettre en perspective les éléments à valoriser et ceux à préserver et ainsi participer à apporter des réponses concrètes pour l’aménagement et le développement de cette région.Après un état des lieux historique, physique et humain, sont développés les dynamiques et enjeux spécifiques aux trois unités régionales (montagne, piémont plaine) et les enjeux transversaux autour de l'eau, de la question migratoire, des risques et des patrimoines reconnus et potentiels

Hydrological risks in anthropized watersheds: modeling of hazard, vulnerability and impacts on population from south-west of Madagascar

International audienc

Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)

Natural disasters are frequent in the South West of Madagascar, particularly flooding. Assessing population vulnerability is of major importance. Vulnerability is a theoretical concept; it is not easy to assign it with a numerical value. However, there are several methods to 'measure' vulnerability to flooding. The most traditional approach is the use of an indicator that is based on the arrangement of several criteria leading on a synthetic index. In this work, we want to add a dynamical aspect to that indicator, using a modeling approach called “multi-agent system” (MAS) which is increasingly prized by geographers. The behavior of all entities brought into play (inhabitants, houses, water flows) during a catastrophic event will be simulated by a model using the agent, i.e. an autonomous individual who acts according to specific rules. Several scenarios are taken into account in order to get a dynamic indicator. This approach allows an intuitive observation of every catastrophic event and gives flexibility to add another dimension to the indicator, the forward-looking aspect of vulnerability that a static indicator cannot account for. In the long run, this type of approach can lead to a predictive model