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N-Nitrosamines are an emerging group of disinfection byproducts characterized by high carcinogenic risks at ng/L levels and by their frequent detection in water and wastewater treatment systems in the U.S. and other parts of the world. The overall goal of this research is to achieve a better understanding of the roles of common nitrosamine precursors in leading to N-nitrosamine formation in water and wastewater treatment systems. The specific objectives of this research are: (a) To probe the mechanisms of nitrosamine formation from commonly employed water treatment polymers, particularly polyDADMACs, during ozonation, (b) To evaluate the role of dithiocarbamate compounds as nitrosamine precursors in reaction with common water disinfection oxidants, and (c) To investigate the potential enhancement effect of activated carbons (AC) to promote transformation of amines to nitrosamines and identify the involved reaction mechanism. Results of this research show that, upon ozonation, polyDADMACs may yield N-nitrosodimethylamine (NDMA) at levels up to two orders of magnitude higher than current advisory guidelines for NDMA. Radical pathways may be responsible for the degradation of the quaternary ammonium ring groups in polyDADMACs to release of dimethylamine (DMA). Detection of significant amounts of nitrite after ozonation of polyDADMACs and DMA suggests the potential role of nitrosation pathway in NDMA formation. Study results also reveal dithiocarbamates as potent nitrosamine precursors with significant nitrosamine yields upon ozonation and monochloramination. Identification and quantification of reaction products suggest nitrosation and chlorinated-UDMH oxidation as primary reaction mechanisms in nitrosamine formation from ozonation and monochloramination of dithiocarbamates compounds, respectively. This research also demonstrates that many commercial AC materials may catalyze transformation of secondary amines to yield trace levels of N-nitrosamines under ambient aerobic conditions. This is a novel discovery with far-reaching implications because of the widespread usage of AC materials in numerous analytical and environmental applications. The study results show that the properties of AC materials and reaction conditions play a crucial role in the catalyzed nitrosamine formation and should be carefully selected to minimize analytical errors and undesirable nitrosamine formation in water samples. Overall, the mechanistic information obtained in this research will be useful for the water industry and research communities to develop more effective strategies to control undesirable nitrosamine formation in water and wastewater treatment systems and thus better protect the public health.

Les travaux effectués durant cette thèse de doctorat ont pour but d’augmenter l’efficacité de codage dans 3D-HEVC. Nous proposons des approches conventionnelles orientées vers la normalisation vidéo, ainsi que des approches en rupture basées sur le flot optique. En approches conventionnelles, nous proposons une méthode qui prédit les modes Intra de profondeur avec ceux de texture. L’héritage est conditionné par un critère qui mesure le degré de similitude entre les deux modes. Ensuite, nous proposons deux méthodes pour améliorer la prédiction inter-vue du mouvement dans 3D-HEVC. La première ajoute un vecteur de disparité comme candidat inter-vue dans la liste des candidats du Merge, et la seconde modifie le processus de dérivation de ce vecteur. Finalement, un outil de codage intercomposantes est proposé, où le lien entre les arbres quaternaires de texture et de profondeur est exploité pour réduire le temps d’encodage et le débit, à travers un codage conjoint des deux arbres. Dans la catégorie des approches en rupture, nous proposons deux méthodes basées sur l’estimation de champs denses de vecteurs de mouvement en utilisant le flot optique. La première calcule un champ au niveau d’une vue de base reconstruite, puis l’extrapole au niveau d’une vue dépendante, où il est hérité par les unités de prédiction en tant que candidat dense du Merge. La deuxième méthode améliore la synthèse de vues : quatre champs sont calculés au niveau de deux vues de référence en utilisant deux références temporelles. Ils sont ensuite extrapolés au niveau d’une vue synthétisée et corrigés en utilisant une contrainte épipolaire. Les quatre prédictions correspondantes sont ensuite combinées. / This PhD. thesis deals with improving the coding efficiency in 3D-HEVC. We propose both constrained approaches aimed towards standardization, and also more innovative approaches based on optical flow. In the constrained approaches category, we first propose a method that predicts the depth Intra modes using the ones of the texture. The inheritance is driven by a criterion measuring how much the two are expected to match. Second, we propose two simple ways to improve inter-view motion prediction in 3D-HEVC. The first adds an inter-view disparity vector candidate in the Merge list and the second modifies the derivation process of this disparity vector. Third, an inter-component tool is proposed where the link between the texture and depth quadtree structures is exploited to save both runtime and bits through a joint coding of the quadtrees. In the more innovative approaches category, we propose two methods that are based on a dense motion vector field estimation using optical flow. The first computes such a field on a reconstructed base view. It is then warped at the level of a dependent view where it is inserted as a dense candidate in the Merge list of prediction units in that view. The second method improves the view synthesis process: four fields are computed at the level of the left and right reference views using a past and a future temporal reference. These are then warped at the level of the synthesized view and corrected using an epipolar constraint. The four corresponding predictions are then blended together. Both methods bring significant coding gains which confirm the potential of such innovative solutions.