Abstract
There are many reasons that make data management of underground networks essential: reducing the cost of repairs and expansion, running hydraulic simulations, preserving the environment etc. The available data related to these networks and more specifically wastewater ones are various, and come in different types (texts, images, GIS ,etc.) and formats (analog, digital). In addition, these multisource/multi-format data are usually incomplete, uncertain, imprecise and sometimes contradictory. Consequently, in order to extract relevant information from these inputs, a data fusion process is necessary. In fact, attributes (depth, diameter of a pipe, etc.) are always associated to a spatial representation of the objects (pipes, outfall, etc.). In this context, this work will concentrate first on using, adapting and putting forward data fusion and integration techniques to combine data collected from different sources. The second part of this thesis will be dedicated to impute and estimate missing data of a wastewater network. The result of this multidisciplinary work will be to put forward methods for fusing data and imputing the missing ones, which enables the mapping and the modelling of urban wastewater networks.