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<dc:title xml:lang="fr">Optimisation du design des réseaux de surveillance de la qualité de l'eau en maximisant la valeur économique de l'information</dc:title>
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<dc:subject xml:lang="fr">Réseau de surveillance de la qualité de l'eau</dc:subject>
<dc:subject xml:lang="fr">Valeur économique de l'information</dc:subject>
<dc:subject xml:lang="fr">Législation sur l’eau</dc:subject>
<dc:subject xml:lang="fr">Analyse coûts-bénéfices.</dc:subject>
<dc:subject xml:lang="en">Water resource management</dc:subject>
<dc:subject xml:lang="en">Water quality monitoring network</dc:subject>
<dc:subject xml:lang="en">Economic value of information</dc:subject>
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<dcterms:abstract xml:lang="fr">Le travail présenté dans cette thèse consiste à combiner, pour la première fois, les deux types de littérature concernant les réseaux de surveillance de la qualité de l’eau, la littérature sur l’optimisation physique des réseaux et la littérature sur la valeur économique de l’information pour un réseau prédéfini. Nous cherchons à optimiser le design du réseau de surveillance en maximisant la valeur économique de l'information. Nous nous intéressons principalement à l'aspect spatial du réseau de surveillance, plus précisément à la localisation des stations de surveillance. Nous appelons cette méthode l'optimisation économique du réseau de surveillance. Cela signifie que l'optimisation du réseau de surveillance ne repose pas seulement sur des considérations physiques ou hydrologiques, mais qu'elle tient compte de considérations économiques. Dans cette thèse, nous étudions en particulier l'avantage d'une telle optimisation économique par rapport à l'optimisation physique traditionnelle.</dcterms:abstract>
<dcterms:abstract xml:lang="en">The work presented in this thesis consists in combining, for the first time, the two types of literature concerning water quality monitoring networks, the literature on physical optimization of networks and the literature on the economic value of information for a predefined network. We seek to optimize the design of the monitoring network by maximizing the economic value of the information. We are mainly interested in the spatial aspect of the monitoring network, more specifically the location of the monitoring stations. We call this method the economic optimization of the monitoring network. This means that the optimization of the monitoring network is not only based on physical or hydrological considerations, but also takes into account economic considerations. In this thesis, we study in particular the advantage of such an economic optimization compared to the traditional physical optimization.</dcterms:abstract>
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