Subject of this diploma this is prepare a documentation for the construction of a hotel. Designed object is located in the Brno city. The hotel meets the conditions of a three-star (***) economic standard. It is designed with 18 accommodation units, of which 2 rooms for disabled. The hotel accommodates only 38 people. There is a restaurant with a terrace in the hotel too. Underground garages primarily designed for parking cars of hotel visitors. The object is designed in a rectangular shape. The construction system of the hotel is combined. Perimeter masonry in the upper floors is made of ceramic blocks, inside are a reinforced concrete skeleton. The foundation structure is designed as a system of waterproof concrete. The floor structure is designed as reinforced concrete slabs. The roofing will be solved by a flat roof with a gravel layer. The whole building is insulated to meet all the requirements of energy consumption of buildings. The main entrance is oriented to the west. In front of the building there is a parking space for hotel guests.

There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. A cost effective maintenance requires knowledge of where support is needed and such data is obtained through inventorying. Today, the road inventory is done primarily by hand using manual tools and requiring trained personel. With new tools, this work could be partially automated which could save on cost as well as open up for more complex analysis. This project aims to investigate the possibility of automating road inventory using computer vision and machine learning. Previous works within the field show promising results using deep convolutional networks to detect and classify road anomalies like potholes and cracks on paved roads. With their results in mind, we try to translate the solutions to also work on unpaved forest roads. During the project, we have collected our own dataset containing 3522 labelled images of gravel and forest roads. There are 203 instances of potholes, 614 bare roads and 3099 snow covered roads. These images were used to train an image segmentation model based on the YOLOv8 architecture for 30 epochs. Using transfer learning we took advantage of pretrained weights gained from training on the COCO dataset. The predicted road segmentation results were also used to estimate the width of the road, using the pinhole camera model and inverse projective geometry. The segmentation model reaches a AP50−95 = 0.746 for the road and 0.813 for the snow covered road. The model shows poor detection of potholes with AP50−95 = 0.048. Using the road segmentations to estimate the road width shows that the model can estimate road width with a mean average error of 0.24 m. The results from this project shows that there are already areas where machine learning could assist human operators with inventory work. Even difficult tasks, like estimating the road width of partially covered roads, can be solved with computer vision and machine learning.

Gravel roads are essential for economic development as they facilitate the movement of people, transportation of goods and services, and promote cultural and social development. They typically connect sparsely populated rural areas to urban centres, providing essential access for residents and entrepreneurs. Maintaining these roads to an acceptable level of service is crucial for the efficient and safe transportation of goods and services. However, substantial maintenance investmentis required, yet resources are limited. Gravel roads are prone to dust, potholes, corrugations, rutting and loose gravel. They deteriorate faster than paved roads, and their failure development is affected by traffic action and physical, geometric and climatic factors. Thus, more condition monitoring and proper road condition assessment are necessary for dynamic maintenance planning to reach efficiency and effectiveness using objective, data-driven condition assessment methods to ensure all-year-round access. However, objective data-driven methods (DDMs) are not frequently used for gravel road condition assessment, and where they have been applied, the practical implementation is limited. Instead, visual windshield assessment and manual methods are predominant. Visual assessments are unreliable and susceptible to human judgement errors, while manual methods are time-consuming and labour-intensive. Maintenance activities are predetermined despite dynamic maintenance needs, and the planning is based on historical failure data rather than the actual road condition. This thesis establishes a data-driven approach to gravel road maintenance describing the systematic assessment of the gravel road condition and collection of the condition data to ensure efficient and effective maintenance planning. This thesis uses a design research methodology based on a literature review, concept development, interview study and field experiments. A holistic approach is proposed for data-driven maintenance of gravel roads encompassing objective condition data collection, processing, analysing, and interpreting the findings for obtaining reliable information concerning the condition to gravel road decision support by utilising the opportunities presented by technological advancements, particularly sensor technology. Then, decision-making is primarily influenced by the objectively collected gravel road condition data rather than the evaluator’s perception or experience. The successful implementation of a data-driven approach depends on the quality of the collected data; therefore, data relevance and quality are emphasised in this thesis. The lack of data quality and relevance hinders effective data utilisation, leading to less precisionin decision-making and ineffective decisions. Furthermore, the thesis proposes a participatory data-driven approach for unpaved road condition monitoring, allowing road users to be part of the maintenance process and providing an efficient and effective alternative for collecting road condition data and accomplishing broad coverage at minimum cost. A top-down iiapproach for data-driven gravel road condition classification is proposed to achieve an objective assessment to address the lack of readily available quality and relevant condition data. The established data-driven approach to gravel road maintenance is evaluated and verified with field experiments on three gravel roads in Växjö municipality, Southern Sweden. The research findings indicate that properly implementing a data-driven approach to gravel road maintenance would ensure efficient and effective condition assessment and classification, which are a basis for a maintenance management system of gravel roads and enable road maintainers and authorities to achieve cost-effective decision-making. / Sustainable maintenance of gravel road

Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. In addition, there are some 74,000 km of gravel roads and 210,000 km of forest roads that are owned by the private sector. The Swedish Transport Administration (Trafikverket) rates the condition of gravel roads according to the severity of irregularities (e.g. corrugations and potholes), dust, loose gravel, and gravel cross-sections. This assessment is carried out during the summertime when roads are free of snow. One of the essential parameters for gravel road assessment is loose gravel. Loose gravel can cause a tire to slip, leading to a loss of driver control.  Assessment of gravel roads is carried out subjectively by taking images of road sections and adding some textual notes. A cost-effective, intelligent, and objective method for road assessment is lacking. Expensive methods, such as laser profiler trucks, are available and can offer road profiling with high accuracy. These methods are not applied to gravel roads, however, because of the need to maintain cost-efficiency.  In this thesis, we explored the idea that, in addition to machine vision, we could also use machine hearing to classify the condition of gravel roads in relation to loose gravel. Several suitable classical supervised learning and convolutional neural networks (CNN) were tested. When people drive on gravel roads, they can make sense of the road condition by listening to the gravel hitting the bottom of the car. The more we hear gravel hitting the bottom of the car, the more we can sense that there is a lot of loose gravel and, therefore, the road might be in a bad condition. Based on this idea, we hypothesized that machines could also undertake such a classification when trained with labeled sound data. Machines can identify gravel and non-gravel sounds. In this thesis, we used traditional machine learning algorithms, such as support vector machines (SVM), decision trees, and ensemble classification methods. We also explored CNN for classifying spectrograms of audio sounds and images in gravel roads. Both supervised learning and CNN were used, and results were compared for this study. In classical algorithms, when compared with other classifiers, ensemble bagged tree (EBT)-based classifiers performed best for classifying gravel and non-gravel sounds. EBT performance is also useful in reducing the misclassification of non-gravel sounds. The use of CNN also showed a 97.91% accuracy rate. Using CNN makes the classification process more intuitive because the network architecture takes responsibility for selecting the relevant training features. Furthermore, the classification results can be visualized on road maps, which can help road monitoring agencies assess road conditions and schedule maintenance activities for a particular road. / <p>Due to unforeseen circumstances the seminar was postponed from May 7 to 28, as duly stated in the new posting page.</p>

Evaluation of the road's condition and state is essential for its upkeep, especially when discussing gravel roads, for the following reasons, among other. When loose gravel is not adequately maintained, it can pose a hazard to drivers, who can lose control of their vehicle and cause accidents. Current maintenance procedures are either laborious or time-consuming. Road agencies and institutions are on the lookout for more effective techniques. This study seeks to establish an automatic method for estimating loose gravel using acoustic observation. On gravelroads, recordings from a car's interior were evaluated and matched to the road's state. The first strategy examined road sections with a four-tier (multiclass) manual classification, based on their perceived condition of loose gravel, in accordance with the Swedish road administration authority’s guidelines. The second, examined two tier (binary) manual classification, distinguishing between roads with low and high maintenance needs. Sound features were extracted and processed for subsequentanalysis. Several supervised machine learning methods and algorithms, combined with selected data preprocessing strategies, were deployed. The performance of each strategy and model is determined by assessing and evaluating their classification accuracy along with other performance metrics. The SVM classifier had the best performance in classifying both multiclass as well as binary gravel road conditions. SVM achieved an accuracy of 57.8% when classifying on a four-tier scale and an accuracy of 82% when classifying on a two-tier scale. These results indicate some merits of using audio features as predictive features in the automatic classification of loose gravel conditions on gravel roads.

L'objectif ultime en géomorphologie fluviale est d'expliquer les formes des cours d'eau et leur évolution temporelle et spatiale. La multiplication des études nous a mené à la réalisation que les systèmes géomorphologiques sont complexes. Les formes observées sont plus que la somme des processus individuels qui les régissent en raison d’interactions et de rétroactions non-linéaires à de multiples échelles spatiales et temporelles. Dans ce contexte, le but général de la thèse est de proposer et de tester de nouvelles avenues de recherche afin de mieux appréhender la complexité des dynamiques fluviales en utilisant des approches méthodologiques et analytiques mettant l’accent sur les interactions entre l’écoulement, le transport de sédiments en charge fond et la morphologie du lit en rivière graveleuse. Cette orientation découle du constat que les paradigmes actuels en géomorphologie fluviale n’arrivent pas à expliquer adéquatement la variabilité naturelle du transport en charge de fond ainsi que des formes du lit qui en résultent. Cinq pistes de réflexion sont développées sous forme d’articles basés sur des études de cas : 1. L'intégration des échelles de variation de l'écoulement permet d’insérer la notion de structures turbulentes dans des pulsations de plus grande échelle et d'améliorer la compréhension de la variabilité du transport de sédiments. 2. La quantification des taux de changement de l’écoulement (accélération /décélération) au cours d’une crue permet d’expliquer la variabilité des flux de transport en charge fond autant que la magnitude de l’écoulement. 3. L’utilisation de techniques de mesures complémentaires révèle une nouvelle dynamique du lit des rivières graveleuses, la dilatation et la contraction du lit suite à une crue. 4. La remise en cause du fait généralement accepté que le transport en charge de fond est corrélé positivement à l'intensité des modifications morphologiques en raison d’un problème associé aux échelles différentes des processus en cause. 5. L’approche systémique des dynamiques fluviales par l’utilisation d’analyses multivariées permet d’appréhender la complexité des dynamiques de rétroactions linéaires et non-linéaires dans l’évolution d’un chenal et d’illustrer l’importance de l’historique récent des changements géomorphologiques en réponse aux crues. Cette thèse se veut une avancée conceptuelle issue d'une profonde réflexion sur les approches classiques que l'on utilise en géomorphologie fluviale depuis plusieurs décennies. Elle est basée sur un jeu de données unique récolté lors du suivi intensif de 21 évènements de crue dans un petit cours d’eau à lit de graviers, le ruisseau Béard (Québec). Le protocole expérimental axé sur la simultanéité des mesures de l’écoulement, de la morphologie du lit et du transport de sédiments en charge de fond a permis de centrer la recherche directement sur les interactions entre les processus plutôt que sur les processus individuels, une approche rarement utilisée en géomorphologie fluviale. Chacun des chapitres illustre un nouveau concept ou une nouvelle approche permettant de résoudre certaines des impasses rencontrées actuellement en géomorphologie fluviale. Ces travaux ont des implications importantes pour la compréhension de la dynamique des lits de rivières et des habitats fluviaux et servent de point de départ pour de nouveaux développements. / The overarching objective in fluvial geomorphology is to explain river morphology and its temporal and spatial evolution. The multiplication of studies led to the realization that geomorphic systems are complex and difficult to understand. The observed river morphology is more than the sum of the individual processes which govern them because of the superimposition of process interactions and non-linear feedback loops at multiple scales. In this context, the goal of this thesis is to explore new avenues of research in order to comprehend more accurately the complexity of gravel-bed river dynamics by using methodological and analytical approaches focusing on the interactions between the flow, transport of sediments as bedload and the bed morphology. This orientation of the thesis is in line with the fact that current paradigms in fluvial geomorphology have not succeeded in explaining adequately the natural variability of the sediment transport and its consequences on the river bedforms. Five avenues are developed in the form of articles based on case studies: 1. The study of the scales of variation of the flow allows us to integrate the turbulent flow structures into flow pulsations at larger scales and to potentially improve our understanding comprehension of bedload sediment transport variability. 2. The quantification of the rates of change of the flow magnitude (acceleration /deceleration) during a flood explains as much the variability of bedload transport fluxes as the flow intensity itself. 3. The use of complementary measurement techniques of bedload processes can reveal new river bed dynamics in gravel-bed rivers: the dilation and contraction of the bed resulting from a flood. 4. The investigation of the generally accepted fact that bedload sediment transport is correlated with the intensity of the morphological changes reveals that the two processes do not relate directly due to their different characteristic scales. 5. The systemic approach of river dynamics based on the use of multivariate analytical techniques is better suited for the study of complex linear and non-linear interactions and feedbacks in the evolution of a river channel. This analysis has shown the importance of the recent history of the morphological changes in response to a flood. The conceptual orientation of this thesis results from a deep reflection on the traditional approaches previously used for several decades in fluvial geomorphology. It is based on a single very extensive data set collected during 21 flood events in a small gravel-bed river, Béard creek (Quebec). The experimental protocol aimed at the simultaneity of processes measurements in order to focus the analysis on the interactions between the flow, the channel morphology and the bedload sediment transport rather than on the individual processes, an approach seldom used in fluvial geomorphology. Each chapter reports on a new concept or a new approach making it possible to resolve some of the issues met in fluvial geomorphology. This work has important implications for the understanding of river bed dynamics and fluvial habitats and is a starting point for new developments.

Considerando o aumento da ocorrência de florações de cianobactérias e a possibilidade de formação de subprodutos em diversos mananciais destinados ao consumo humano, este trabalho teve como objetivo, avaliar a remoção de células e subprodutos de Microcystis spp. pelos processos de dupla filtração com filtração ascendente em pedregulho e de filtração descendente em areia, oxidação e adsorção com carvões ativados pulverizado e granular. Na fase 1 foram realizados ensaios de bancada para estabelecimento das condições operacionais dos ensaios a serem realizados em instalação piloto, utilizando-se água de estudo preparada com adição de cultura de cepa tóxica de Microcystis spp. e ou extrato de microcistinas. Em seguida, foram realizados ensaios em instalação piloto de escoamento contínuo para águas de estudo preparadas com adição de cultura de cepa tóxica de Microcystis spp. e de extrato de microcistinas – fase 2 e de material coletado no reservatório de Barra Bonita – SP - fase 3. A concepção de dupla filtração utilizada mostrou ser bastante eficiente na remoção de células de Microcystis spp. e, consequentemente, de microcistinas intracelulares, porém, a remoção ou degradação de microcistinas extracelulares só foi significativa com o emprego de processos complementares de oxidação e ou adsorção. Para as águas de estudo empregadas, não houve formação expressiva de subprodutos organohalogenados nos efluentes dos processos de tratamento, após serem submetidas à cloração e tempo de contato de 1 dia. Adicionalmente, foram realizados estudos prospectivos no sentido de avaliar a toxicidade de extrato, águas de estudo e efluentes dos processos de tratamento por meio de bioensaios com cladóceros e camundongos, além de biomonitoramento com a espécie de peixe Danio rerio. / Considering the increase in the frequency of cyanobacterial blooms and the possibility of by-product formation in water supply sources for human consumption, this work was carried out in order to evaluate the removal of cells and by-products of Microcystis spp. using the processes of double filtration (gravel upflow filtration of coagulated water followed by rapid sand downflow filtration), oxidation and adsorption in powdered and granular activated carbons. Bench scale assays were performed in phase 1 to determine the operational conditions of the tests to be performed in a continuous flow pilot plant, using a study water prepared with filtered water in the water treatment plant 2 of Sao Carlos and culture of a toxic strain of Microcystis spp. and/or microcystins extract. Based on the conditions stated in phase 1, phase 2 was carried out by performing tests in the pilot plant for study waters prepared with culture of toxic strain of Microcystis spp. and phase 3 of microcystins extract from material collect in the de Barra Bonita – SP reservoir. The double filtration system used resulted very efficient concerning the removal of cells of Microcystis spp., but, on the other hand, the removal or degradation of extracellular microcystins was significant with the use of complementary processes such as oxidation and or activated carbon adsorption. With regards to the waters studied, there wasn’t significant formation of by-products due to the oxidation of the effluent of each combination of processes, when submitted to chlorination with detention time of 1 day. Additionally, it was observed the toxicity effect by bioassays with crustaceans and mices, besides Danio rerio fish screening.

Este trabalho foi realizado com o objetivo de avaliar o comportamento de um sistema de dupla filtração, utilizando filtro ascendente de pedregulho seguido de filtro rápido descendente na remoção de substâncias húmicas. A parte experimental foi realizada em uma instalação piloto, que utilizou como afluente a água do Ribeirão Feijão na qual foi adicionado extrato de substâncias húmicas, previamente extraído de solo turfoso por meio de extração alcalina, para que a cor verdadeira da água de estudo resultasse entre 90 e 110 uH. As condições de coagulação, como gradiente de velocidade, dosagem e pH, foram definidos em ensaios com jarteste. As taxas utilizadas no filtro ascendente em pedregulho foram de 80 e 120 m3/m2.dia e no sistema de filtração rápida descendente de 80, 120, 150, 180, 220 e 240 m3/m2.dia. As carreiras tiveram duração máxima de 72 horas. A utilização do critério de realização de Descargas de Fundos Intermediárias (DFIs), quando o efluente do Filtro Ascendente de Pedregulho (FAP) atingisse valor maior ou igual 50 uH, não permitiu aumento da cor no efluente final. O sistema de dupla filtração estudado foi eficiente na remoção de cor, atingindo diversas vezes remoção completa; outros parâmetros relativos à concentração de substâncias húmicas, como absorvância (254 nm) e Carbono Orgânico Dissolvido (COD), foram removidos entre 89,1 a 93,6% e 27,5 a 48,5% respectivamente. / The present work was carried out to evaluate the removal of humic substances in a double filtration system, comprising on upflow gravel prefilter followed by a rapid down flow filter. Raw water was abstracted from the influent took to the municipal water treatment Plant 2. Humic substances were extracted from peat through alkaline process. The concentrated solution was pumped to raw water in order to obtain true colour of 90-110 Hu in the influent to the pilot plant. Filtration rates studied were as follows: 80 and 120 m3/m2.day in the upflow filter 80, 120, 150, 180, 220 e 240 m3/m2.day in the down flow filter. Maximum filter run length was fixed in 72 hours. Intermediate down flushes in the upflow filter were performed during the run when the effluent colour reached 50 Hu. It is concluded that the system performed efficiently to remove colour; in most part of the effluent colour remained bellow 1 Hu. Absorbance (254 nm) removal resulted high (between 89,1% and 93,6%). Dissolved organic carbon resulted satisfactory (27,5% to 48,5%).

In the work “Research of local stock breakstore purposed for asphalt concrete construction” presents data about hard minerals found and exploited in Lithuania. Minerals used for road building, maintenance and repair are reviewed with a greater focus on minerals used for road building: grit, sand, and dolomite. The paper carries on describing asphalt-concrete coatings and mixtures used for the coatings. The asphalt-concrete mixtures with gravel and dolomite chipping are analyzed. According to their stability, plasticity and porosity (Marshall’s) the usage of mixtures for certain construction class is defined. Is givven a recommendation for using this asphalt concrete mixtures. The major conclusions and the bibliography are presented in the end of the paper.

L'objectif ultime en géomorphologie fluviale est d'expliquer les formes des cours d'eau et leur évolution temporelle et spatiale. La multiplication des études nous a mené à la réalisation que les systèmes géomorphologiques sont complexes. Les formes observées sont plus que la somme des processus individuels qui les régissent en raison d’interactions et de rétroactions non-linéaires à de multiples échelles spatiales et temporelles. Dans ce contexte, le but général de la thèse est de proposer et de tester de nouvelles avenues de recherche afin de mieux appréhender la complexité des dynamiques fluviales en utilisant des approches méthodologiques et analytiques mettant l’accent sur les interactions entre l’écoulement, le transport de sédiments en charge fond et la morphologie du lit en rivière graveleuse. Cette orientation découle du constat que les paradigmes actuels en géomorphologie fluviale n’arrivent pas à expliquer adéquatement la variabilité naturelle du transport en charge de fond ainsi que des formes du lit qui en résultent. Cinq pistes de réflexion sont développées sous forme d’articles basés sur des études de cas : 1. L'intégration des échelles de variation de l'écoulement permet d’insérer la notion de structures turbulentes dans des pulsations de plus grande échelle et d'améliorer la compréhension de la variabilité du transport de sédiments. 2. La quantification des taux de changement de l’écoulement (accélération /décélération) au cours d’une crue permet d’expliquer la variabilité des flux de transport en charge fond autant que la magnitude de l’écoulement. 3. L’utilisation de techniques de mesures complémentaires révèle une nouvelle dynamique du lit des rivières graveleuses, la dilatation et la contraction du lit suite à une crue. 4. La remise en cause du fait généralement accepté que le transport en charge de fond est corrélé positivement à l'intensité des modifications morphologiques en raison d’un problème associé aux échelles différentes des processus en cause. 5. L’approche systémique des dynamiques fluviales par l’utilisation d’analyses multivariées permet d’appréhender la complexité des dynamiques de rétroactions linéaires et non-linéaires dans l’évolution d’un chenal et d’illustrer l’importance de l’historique récent des changements géomorphologiques en réponse aux crues. Cette thèse se veut une avancée conceptuelle issue d'une profonde réflexion sur les approches classiques que l'on utilise en géomorphologie fluviale depuis plusieurs décennies. Elle est basée sur un jeu de données unique récolté lors du suivi intensif de 21 évènements de crue dans un petit cours d’eau à lit de graviers, le ruisseau Béard (Québec). Le protocole expérimental axé sur la simultanéité des mesures de l’écoulement, de la morphologie du lit et du transport de sédiments en charge de fond a permis de centrer la recherche directement sur les interactions entre les processus plutôt que sur les processus individuels, une approche rarement utilisée en géomorphologie fluviale. Chacun des chapitres illustre un nouveau concept ou une nouvelle approche permettant de résoudre certaines des impasses rencontrées actuellement en géomorphologie fluviale. Ces travaux ont des implications importantes pour la compréhension de la dynamique des lits de rivières et des habitats fluviaux et servent de point de départ pour de nouveaux développements. / The overarching objective in fluvial geomorphology is to explain river morphology and its temporal and spatial evolution. The multiplication of studies led to the realization that geomorphic systems are complex and difficult to understand. The observed river morphology is more than the sum of the individual processes which govern them because of the superimposition of process interactions and non-linear feedback loops at multiple scales. In this context, the goal of this thesis is to explore new avenues of research in order to comprehend more accurately the complexity of gravel-bed river dynamics by using methodological and analytical approaches focusing on the interactions between the flow, transport of sediments as bedload and the bed morphology. This orientation of the thesis is in line with the fact that current paradigms in fluvial geomorphology have not succeeded in explaining adequately the natural variability of the sediment transport and its consequences on the river bedforms. Five avenues are developed in the form of articles based on case studies: 1. The study of the scales of variation of the flow allows us to integrate the turbulent flow structures into flow pulsations at larger scales and to potentially improve our understanding comprehension of bedload sediment transport variability. 2. The quantification of the rates of change of the flow magnitude (acceleration /deceleration) during a flood explains as much the variability of bedload transport fluxes as the flow intensity itself. 3. The use of complementary measurement techniques of bedload processes can reveal new river bed dynamics in gravel-bed rivers: the dilation and contraction of the bed resulting from a flood. 4. The investigation of the generally accepted fact that bedload sediment transport is correlated with the intensity of the morphological changes reveals that the two processes do not relate directly due to their different characteristic scales. 5. The systemic approach of river dynamics based on the use of multivariate analytical techniques is better suited for the study of complex linear and non-linear interactions and feedbacks in the evolution of a river channel. This analysis has shown the importance of the recent history of the morphological changes in response to a flood. The conceptual orientation of this thesis results from a deep reflection on the traditional approaches previously used for several decades in fluvial geomorphology. It is based on a single very extensive data set collected during 21 flood events in a small gravel-bed river, Béard creek (Quebec). The experimental protocol aimed at the simultaneity of processes measurements in order to focus the analysis on the interactions between the flow, the channel morphology and the bedload sediment transport rather than on the individual processes, an approach seldom used in fluvial geomorphology. Each chapter reports on a new concept or a new approach making it possible to resolve some of the issues met in fluvial geomorphology. This work has important implications for the understanding of river bed dynamics and fluvial habitats and is a starting point for new developments.