Soil erosion by water can cause agricultural soil losses, desertification, water pollution, reservoir sedimentation, local excess of erosion (such as bridge scour) or deposition, etc. For this reason, the assessment of soil erosion and sediment transport is a key component of integrated catchment management. One of the most useful and up-to-date tools available to catchment managers for soil erosion and sediment transport assessment is distributed modelling. During the last few decades, many sedimentological distributed models were developed and applied for a wide range of climates and basins. Their main advantage is that they allow spatial interpolation or extrapolation of their results. Nevertheless, their use is still limited by some constraints. One of the most relevant limitations to the use of such models is the lack of recorded sediment transport data to be used for model calibration and validation. It is widely recognised that both sediment discharge series and soil erosion measurements are only available in a few and small- to medium-size experimental catchments. The aim of this dissertation is to investigate the possibility of using reservoir sedimentation data as a source of proxy information for sedimentological model calibration and validation. In order to carry out this task, a distributed sedimentological model called TETIS was tested in set of catchments with different sediment data availability. First of all, the TETIS model, developed over the last years by the research group of hydrological and environmental modelling of the Technical University of Valencia, is described, especially focusing on the new features developed within this dissertation (sedimentological sub-model automatic calibration algorithm, small pond sediment retention module, etc.). Then, the model is applied to three catchments with different sediment data availability. The first case-study is the Goodwin Creek catchment (Mississippi, US), an experimental catchment with high sediment transport data availability. The model performance is evaluated, and some considerations are made on the estimation of the sediment volume deposited into the drainage network at the beginning of a rainstorm. The second case-study is the Rambla del Poyo catchment (Valencia, Spain), a medium size semi-arid catchment draining to a coastal lagoon with severe sedimentation problems. The TETIS sedimentological sub-model is calibrated and validated using check-dam sedimentation volumes as an estimator of the total sediment transport. A detailed description of the alluvial stratigraphy infilling a check dam that drains a 12.9 km2 sub-catchment was used as indirect information of sediment yield data. A further application was also developed in this catchment in order to investigate the possibility of calibrating and validating both the hydrological and the sediment sub-models by using reservoir sedimentation volumes and employing neither water nor sediment discharge direct records. The third case-study is the Ésera River catchment (Huesca, Spain), a 1,500 km2 Pyrenean catchment drained by a large reservoir. The depositional history of the reservoir was reconstructed and used for sediment sub-model implementation. The model results were compared with gauged suspended sediment data in order to verify model robustness. The results of this dissertation indicate that TETIS model is a robust tool which provides a reliable reconstruction of the catchment sediment cycle. Its implementation is subject to data availability, both for parameter estimation and for model calibration and validation. Nevertheless, this dissertation proved that sediment records can be replaced by reservoir sedimentation volumes with satisfactory results, taking into account reservoir trap efficiency and sediment dry bulk density. Two modelling approaches were proposed for sediment model implementation, depending on the data availability. These methodologies proved to be consistent and provided a correct estimation of the sediment transport. Nevertheless, further research is needed to address model limitations and to reduce model results uncertainty / Bussi, G. (2014). Implementation of a distributed sediment model in different data availability scenarios [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/36534 / Alfresco

CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior / A deficiÃncia hÃdrica em regiÃes semiÃridas, como o Nordeste do Brasil, representa um dos principais fatores limitantes ao desenvolvimento econÃmico, com graves consequÃncias sociais. Para garantir a conservaÃÃo dos recursos hÃdricos disponÃveis, à imprescindÃvel o controle de aÃÃes antrÃpicas que impactem negativamente a disponibilidade hÃdrica. Por exemplo, a ocupaÃÃo desordenada do solo e a utilizaÃÃo de prÃticas inadequadas na agricultura intensificam a erosÃo e o transporte de sedimentos, interferindo diretamente na disponibilidade hÃdrica. O assoreamento de reservatÃrios causa a reduÃÃo de sua capacidade de armazenamento e, consequentemente, sua capacidade de regularizar vazÃes com elevada garantia. O aporte de sedimentos a mananciais contribui tambÃm para a degradaÃÃo da qualidade da Ãgua, atravÃs do aumento da turbidez, o que provoca a reduÃÃo da concentraÃÃo de oxigÃnio dissolvido, e do enriquecimento de nutrientes. Adicionalmente, a erosÃo do solo à um dos principais fatores de degradaÃÃo ambiental, provocando a perda de nutrientes das camadas superficiais de solo. Portanto, uma avaliaÃÃo precisa dos fluxos de sedimento ao longo de sua trajetÃria à imprescindÃvel para a identificaÃÃo de Ãreas potencialmente erosivas e de locais onde predominam processos de deposiÃÃo. Para isso, faz-se necessÃrio o conhecimento das condiÃÃes de transporte dos sedimentos atravÃs e entre os diferentes compartimentos da bacia hidrogrÃfica. O potencial de movimento de uma partÃcula no sistema, denominado de conectividade no transporte de sedimentos, destaca-se como fator determinante para a compreensÃo e estimativa dos fluxos de massa sÃlida. De forma a se avaliar o efeito da conectividade sobre a produÃÃo de sedimentos na regiÃo semiÃrida do Brasil, realizou-se simulaÃÃo hidrossedimentolÃgica da bacia hidrogrÃfica de meso-escala do aÃude BenguÃ, CearÃ, utilizando-se o modelo WASA-SED. Constatou-se que, de um modo geral, o balanÃo de Ãgua no solo determina as condiÃÃes de geraÃÃo de escoamento na regiÃo de estudo: muito embora haja uma predominÃncia de iniciaÃÃo do escoamento superficial por processo Hortoniano, na escala de bacia hidrogrÃfica o excesso de precipitaÃÃo à percebido somente em eventos de grande magnitude ou apÃs sequÃncias de eventos chuvosos, quando a conectividade hidrolÃgica à elevada. Assim, as condiÃÃes de transporte limitam a produÃÃo de sedimentos, gerando padrÃes espaciais muito semelhantes de escoamento superficial e de produÃÃo de sedimentos. Na escala de bacia hidrogrÃfica, o padrÃo espacial de conectividade mostrou-se fortemente relacionado a caracterÃsticas hidrÃulicas do solo, enquanto que na escala de vertente, caracterÃsticas topogrÃficas locais desempenharam um papel mais importante no transporte de sedimentos. A simulaÃÃo de caracterÃsticas especÃficas do semiÃrido pelo modelo WASA-SED, tais como escoamento do tipo Hortoniano, reinfiltraÃÃo a jusante, redistribuiÃÃo lateral de escoamento e densa rede de reservatÃrios, permitiu a estimativa satisfatÃria dos fluxos de Ãgua e sedimentos tanto na bacia do Benguà (933 kmÂ) como na sub-bacia de Aiuaba (12 kmÂ). Um teste mais rigoroso foi realizado com o uso da tÃcnica de CÃsio-137 como traÃador de erosÃo/deposiÃÃo de sedimentos. A comparaÃÃo entre valores modelados e medidos com 137Cs em uma vertente representativa demonstrou boa correlaÃÃo entre os valores. Apesar de se tratar de um resultado local, tal comparaÃÃo indica que o modelo WASA-SED simule os fluxos de sedimento de maneira satisfatÃria tambÃm na escala de vertente / Water deficit in semiarid regions, such as the Northeastern Brazil, is a major limiting factor to economic development, with serious social consequences. To ensure the conservation of the available water resources, it is essential to control the human activities that impact negatively on water availability. For instance, uncontrolled soil use and improper agricultural practices, tend to intensify erosion and sediment transport processes, with direct impacts on water availability. Reservoirs siltation causes a reduction of the storage capacity and, hence, of the ability to supply water with high reliability. Sediment input to water bodies also contributes to water quality degradation, by increasing turbidity, which results in a reduction of the concentration of dissolved oxygen, and nutrient enrichment. In addition, soil erosion is a major factor of environmental degradation, causing the loss of nutrients of the top soil layers. Therefore, an accurate assessment of sediment fluxes along its pathway is essential for the identification of potentially erosive areas and regions where deposition processes predominate. For such estimation, a good understanding of the conditions of sediment transport through and between the different catchment compartments is necessary. The potential for movement of the soil particles within the system, denominated connectivity in sediment transport, stands out as a determining factor for the understanding and estimation of the flow of solid mass. In order to evaluate the effect of connectivity on sediment yield in the semiarid region of Brazil, a hydrosedimentological simulation of the Benguà meso-scale catchment (CearÃ, Brazil) was carried out with the WASA-SED model. It was found that, in general, water balance in the soil matrix determinates the conditions for runoff generation in the study area: although there is a predominance of surface runoff initiation by Hortonian process, in the catchment scale, excess precipitation is observed only in events of great magnitude or sequences of rain events, when hydrological connectivity is high. Thus, the transport conditions limit sediment yield, generating very similar spatial patterns of runoff and sediment yield. At the catchment scale, the spatial pattern of connectivity was strongly related to soil hydraulic properties, while topographic characteristics played a more important role in sediment transport at the finer scale. The simulation of specific features of semiarid regions by the WASA-SED model, such as Hortonian-type flow, downstream re-infiltration of surface runoff, lateral flow redistribution and dense network of reservoirs, allowed a satisfactory estimate of both water and sediments fluxes in the Benguà catchment (933 km Â), as well as in the Aiuaba sub-basin (12 km Â). A more rigorous test was performed with the technique of Cesium-137 as a tracer of soil erosion/deposition. A comparison between modelled and measured (with 137Cs) values in a representative hillslope showed good correlation between the values. Even though it is a local result, this comparison indicates that the WASA-SED model must be able to simulate sediment fluxes satisfactorily also in the hillslope scale

Reverse Osmosis (RO) is a membrane-based separation process applied in several industrial and food processing applications. In this research, performance of RO process is investigated in respect of two applications (a) wastewater treatment (b) concentration fruit juices using model-based techniques. For this purpose, a number of models (both 1 and 2-dimensional steady state and dynamic) for spiral wound RO process are developed based on Solution-Diffusion model and Irreversible Thermodynamic model. The models are validated against actual experimental data reported in the literature before being used in further simulation and optimisation studies for both wastewater treatment and fruit juice concentration. Wastewater effluents of many industrial applications contain a variety of micro-pollutants and highly-toxic compounds, which are released into a variety of water resources. Such pollutants not only disrupt the biological ecosystem, but they also pose a real threat to the water supply for human consumption and to the aquatic ecosystems. The earlier chapters of the thesis evaluate the performance of RO process in terms of removal efficiency of toxic compounds such as chlorophenol, N-nitrosamine, etc. from wastewater. The effect of several operating parameters such as feed pressure, concentration, flow rate and temperature, on the performance of RO process are evaluated. Also, suitability of a number of different RO configurations for efficient removal of toxic compounds are evaluated. For example, (a) two-stage/two-pass RO design synthesis of RO network for the removal of chlorophenol (b) multistage multi-pass RO process with and without energy recovery option for the removal of N-nitrosamine are investigated. The dynamic response of the RO process for step changes in the operating parameters is investigated for the removal of phenolic compounds. Finally, in the context of wastewater treatment, a case study with multi compounds contaminants is suggested where a multi-objective optimisation problem has achieved the optimum rejection of all the compounds and recovery rate. In respect of food processing, RO has been considered as a prominent process in fruit juice concentration due to its ability to effectively retain the flavour, sensory, aroma and nutritional characteristics and concentrate the juice. This research elucidates one example of apple juice concentration process and focuses on highlighting successful modelling and optimisation methodology. This in turn provides an efficient method of RO process for concentrating apple juice by improving the reliability and efficiency of the underlying separation and concentration process. / Ministry of High Education and Scientific Research of Iraq

The concept of Industrial Internet of Things (IIoT) is the tangible building block for the realisation of the fourth industrial revolution. It should improve productivity, efficiency and reliability of industrial automation systems, leading to revenue growth in industrial scenarios. IIoT needs to encompass various disciplines and technologies to constitute an operable and harmonious system. One essential requirement for a system to exhibit such behaviour is reliable exchange of information. In industrial automation, the information life-cycle starts at the field level, with data collected by sensors, and ends at the enterprise level, where that data is processed into knowledge for business decision making. In IIoT, the process of knowledge discovery is expected to start in the lower layers of the automation hierarchy, and to cover the data exchange between the connected smart objects to perform collaborative tasks. This thesis aims to assist the comprehension of the processes for information exchange in IIoT-enabled industrial automation- in particular, how reliable exchange of information can be performed by communication systems at field level given an underlying wireless sensor technology, and how data analytics can complement the processes of various levels of the automation hierarchy. Furthermore, this work explores how an IIoT monitoring system can be designed and developed. The communication reliability is addressed by proposing a redundancy-based medium access control protocol for mission-critical applications, and analysing its performance regarding real-time and deterministic delivery. The importance of the data and the benefits of data analytics for various levels of the automation hierarchy are examined by suggesting data-driven methods for visualisation, centralised system modelling and distributed data streams modelling. The design and development of an IIoT monitoring system are addressed by proposing a novel three-layer framework that incorporates wireless sensor, fog, and cloud technologies. Moreover, an IIoT testbed system is developed to realise the proposed framework. The outcome of this study suggests that redundancy-based mechanisms improve communication reliability. However, they can also introduce drawbacks, such as poor link utilisation and limited scalability, in the context of IIoT. Data-driven methods result in enhanced readability of visualisation, and reduced necessity of the ground truth in system modelling. The results illustrate that distributed modelling can lower the negative effect of the redundancy-based mechanisms on link utilisation, by reducing the up-link traffic. Mathematical analysis reveals that introducing fog layer in the IIoT framework removes the single point of failure and enhances scalability, while meeting the latency requirements of the monitoring application. Finally, the experiment results show that the IIoT testbed works adequately and can serve for the future development and deployment of IIoT applications. / SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)

Le développement des réseaux séparatifs entraîne le transfert fréquent de polluants urbains vers les milieux récepteurs (plans d’eau, rivières, etc.). La compréhension des processus de production et de lessivage des polluants dans le milieu urbain est pourtant incomplète à l’heure actuelle. Afin de répondre aux questions liées à la gestion des eaux urbaines, l’amélioration des connaissances des processus physiques est nécessaire, tant au niveau des surfaces urbaines que les réseaux d'assainissement. Pour cela, la modélisation du transfert hydrologique des polluants en milieu urbain peut être un outil précieux.Cette thèse a pour objectif de développer et d'analyser des modèles distribués à base physique pour simuler les flux de polluants routiers (Matières En Suspension (MES), Hydrocarbures, Métaux) dans un environnement urbain. Elle s'inscrit dans le cadre du projet ANR "Trafipollu" et bénéficie des résultats expérimentaux mis en œuvre dans ce projet pour la calibration et validation des modèles utilisés. Le travail de thèse s’articule autour de deux échelles de modélisation : l’échelle locale et l’échelle du quartier.A l'échelle locale, le code FullSWOF (volumes finis, schéma numérique d'ordre 2) couplé au modèle d’érosion d'Hairsine and Rose (1992a; 1992b) et des données géographiques très détaillées (résolution spatiale centimétrique) ont été utilisés et adaptés afin d'améliorer nos connaissances des processus physiques du lessivage des polluants sur les surfaces urbaines. La comparaison aux mesures en continu permet d’évaluer la performance d’une modélisation physique pour représenter les variations spatiales et temporelles des processus de transferts des polluants sur les surfaces urbaines. Les analyses des résultats obtenus permettent de constater la prédominance des effets d'arrachement liés à la pluie sur les processus d'entrainement par l'advection sur la majeure partie du bassin versant routier. L’utilisation d’un modèle d’érosion pour modéliser le transport particulaire en zone urbaine est une innovation importante de cette thèse.A l’échelle du quartier, la deuxième étape du travail consiste à coupler séquentiellement le modèle TREX (Velleux, England, et al., 2008) avec le modèle CANOE (Alison, 2005), nommé "TRENOE" plateforme. En changeant différentes options de mise en œuvre et de configurations du modèle, l’adaptation de la précision numérique et l’utilisation de données détaillées d’occupation du sol semblent être les facteurs clés pour une telle modélisation. Par ailleurs, ce couplage a montré des problèmes de fond tels que la modélisation du schéma numérique des flux en surface (seulement dans 4 directions), ainsi que l'utilisation de l'équation USLE pour simuler l'érosion en milieu urbain, ne comprenant pas d’impact des gouttes de pluie pour la modélisation.Pour remédier à ces défauts, la plateforme opensource LISEM-SWMM est développée en couplant le modèle LISEM (De Roo, Wesseling, et al., 1996), modèle d’érosion développé initialement pour le milieu naturel, et le modèle SWMM (Rossman, 2010). Pour la première fois, la modélisation hydrologique s’appuie aussi sur l’utilisation de sorties de modèles atmosphériques pour les dépôts des particules fines (PM10), hydrocarbures et métaux. Les résultats montrent que l’emploi de modèles totalement distribués peut arriver à reproduire de manière très fine les dynamiques des particules, des hydrocarbures et des métaux. Même si à ce stade la plateforme développée nécessite des améliorations pour adapter aux utilisations dans le champ opérationnel, ceci constitue une avancée pour le domaine de modélisation du transfert hydrologique des polluants routiers en milieu urbain / Nowadays, the increasing use of separate stormwater systems causes a frequent transport of urban pollutants into receiving water bodies (lakes, rivers). However, current studies still lack of the knowledge of urban build-up and wash-off processes. In order to address urban management issues, better understanding of physical mechanism is required not only for the urban surfaces, but also for the sewer systems. In this context, the modelling of hydrological transfer of urban pollutants can be a valuable tool.This thesis aims to develop and assess the physically-based and distributed models to simulate the transport of traffic-related pollutants (suspended solids, hydrocarbons, heavy metals) in urban stormwater runoffs. This work is part of the ANR "Trafipollu" project, and benefit from the experimental results for model calibration and validation. The modelling is performed at two scales of the urban environment: at the local scale and at the city district scale.At the local scale of urban environment, the code FullSWOF (second-order finite volume scheme) coupled with Hairsine and Rose model (1992a; 1992b) and detailed monitoring surveys is used to evaluate urban wash-off process. Simulations over different rainfall events represent promising results in reproducing the various dynamics of water flows and particle transfer on the urban surfaces. Spatial analysis of wash-off process reveals that the rainfall-driven impacts are two orders of magnitude higher than flow-drive effects. These findings contribute to a significant improvement in the field of urban wash-off modelling. The application of soil erosion model to the urban context is also an important innovation.At the city district scale, the second step consists of coupling the TREX model (Velleux, England, et al., 2008) and the CANOE model, named "TRENOE" platform. By altering different options of model configurations, the adequate numerical precision and the detailed information of landuse data are identified as the crucial elements for achieving acceptable simulations. Contrarily, the high-resolution topographic data and the common variations of the water flow parameters are not equally significant at the scale of a small urban catchment. Moreover, this coupling showed fundamental problems of the model structure such as the numerical scheme of the overland flow (only 4 directions), and the empirical USLE equations need to be completed by raindrop detachment process.To address these shortcomings, the LISEM - SWMM platform is developed by coupling the open-source LISEM model (De Roo, Wesseling, et al., 1996), which is initially developed for soil erosion simulations, and the SWMM model (Rossman, 2010). For the first time, the hydrological model is also supported by the simulations of atmospheric dry deposits of fine particles (PM10), hydrocarbons and heavy metals. The performance of water flow and TSS simulations are satisfying with the calibrated parameters. Considering the hydrocarbons and heavy metals contents of different particle size classes, simulated event mean concentration of each pollutant is comparable to local in-situ measurements. Although the platform at current stage still needs improvements in order to adapt to the operational applications, the present modelling approach contributes to an innovative technology in the field of modelling of hydrological transfer of the traffic-related pollutants in urban environment