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Computational fluid dynamics. --- Open-channel flow --- Mathematics. --- Flow, Free-surface --- Flow, Open-channel --- Free-surface flow --- Fluid dynamics --- CFD (Computational fluid dynamics) --- Computer simulation --- Data processing

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This book presents the theory and computation of open channel flows, using detailed analytical, numerical and experimental results. The fundamental equations of open channel flows are derived by means of a rigorous vertical integration of the RANS equations for turbulent flow. In turn, the hydrostatic pressure hypothesis, which forms the core of many shallow water hydraulic models, is scrutinized by analyzing its underlying assumptions. The book’s main focus is on one-dimensional models, including detailed treatments of unsteady and steady flows. The use of modern shock capturing finite difference and finite volume methods is described in detail, and the quality of solutions is carefully assessed on the basis of analytical and experimental results. The book’s unique features include: • Rigorous derivation of the hydrostatic-based shallow water hydraulic models • Detailed treatment of steady open channel flows, including the computation of transcritical flow profiles • General analysis of gate maneuvers as the solution of a Riemann problem • Presents modern shock capturing finite volume methods for the computation of unsteady free surface flows • Introduces readers to movable bed and sediment transport in shallow water models • Includes numerical solutions of shallow water hydraulic models for non-hydrostatic steady and unsteady free surface flows This book is suitable for both undergraduate and graduate level students, given that the theory and numerical methods are progressively introduced starting with the basics. As supporting material, a collection of source codes written in Visual Basic and inserted as macros in Microsoft Excel® is available. The theory is implemented step-by-step in the codes, and the resulting programs are used throughout the book to produce the respective solutions.

Mathematical physics. --- Geotechnical engineering. --- Engineering geology. --- Engineering—Geology. --- Foundations. --- Hydraulics. --- Computer simulation. --- Mathematical Applications in the Physical Sciences. --- Geotechnical Engineering & Applied Earth Sciences. --- Geoengineering, Foundations, Hydraulics. --- Simulation and Modeling. --- Engineering --- Civil engineering --- Geology, Economic --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Flow of water --- Water --- Fluid mechanics --- Hydraulic engineering --- Jets --- Architecture --- Building --- Structural engineering --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Engineering, Geotechnical --- Geotechnics --- Geotechnology --- Engineering geology --- Physical mathematics --- Physics --- Geology --- Flow --- Distribution --- Details --- Mathematics --- Open-channel flow. --- Flow, Free-surface --- Flow, Open-channel --- Free-surface flow --- Fluid dynamics

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This Special Issue includes manuscripts about soil erosion and degradation processes and the accelerated rates due to hydrological processes and climate change. The new research included in this issue focuses on measurements, modeling, and experiments in field or laboratory conditions developed at different scales (pedon, hillslope, and catchment). This Special Issue received investigations from different parts of the world such as Ethiopia, Morocco, China, Iran, Italy, Portugal, Greece, and Spain, among others. We are happy to see that all papers presented findings characterized as unconventional, provocative, innovative, and methodologically new. We hope that the readers of the journal Water can enjoy and learn about hydrology and soil erosion using the published material, and share the results with the scientific community, policymakers, and stakeholders to continue this amazing adventure, facing plenty of issues and challenges.

soil --- natural resources --- modeling --- hybrid model --- Bastam watershed --- splash erosion --- environmental assessment --- soil erosion --- rainfall simulation --- loess landslide --- agricultural irrigation --- field investigation --- static liquefaction --- RUSLE --- soil erodibility --- gravel content --- Chaohu Lake Basin --- vineyards --- soil management --- tractor traffic --- hydrological properties --- erosion --- runoff --- hydraulic conductivity --- soil water conservation --- argan --- South Morocco --- soil degradation --- tree --- intertree --- Ethiopian highlands --- eucalyptus --- gully --- soil loss --- soil and water conservation practices --- gully erosion susceptibility --- GIS --- robustness --- MARS algorithm --- rainfall-runoff processes --- hillslope morphology --- surface flow --- roughness --- land degradation --- soil conservation --- remote sensing --- urbanization --- land-use --- suspended sediment concentration --- spatiotemporal variation --- hydrological processes --- different scales --- models --- experiments

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The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Technology: general issues --- centrifugal pump --- double hidden layer --- Levenberg–Marquardt algorithm --- performance prediction --- thermal energy storage --- stratification --- dynamic simulation --- heating --- double-channel sewage pump --- critical wall roughness --- numerical calculation --- external characteristics --- axial-flow pump --- impeller --- approximation model --- optimization design --- multi-disciplinary --- blade slot --- orthogonal test --- numerical simulation --- Francis turbine --- anti-cavity fins --- draft tube --- vortex rope --- low flow rates --- internal flow characteristics --- unsteady pressure --- energy recovery --- turboexpander --- throttling valves --- CFD --- modelling techniques --- Kaplan turbine --- draft tube optimization --- CFD analysis --- DOE --- response surface --- single-channel pump --- CFD-DEM coupling method --- particle features and behaviors --- solid-liquid two-phase flows --- computational fluid dynamics (CFD) --- artificial neural network (ANN) --- subcooled boiling flows --- uncertainty quantification (UQ) --- Monte Carlo dropout --- deep ensemble --- deep neural network (DNN) --- intake structures --- physical hydraulic model --- free surface flow --- free surface vortices --- vertical pump --- design considerations --- magnetocaloric effect --- coefficient of performance --- refrigeration --- capacity --- mathematical modelling --- energy systems

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The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Technology: general issues --- centrifugal pump --- double hidden layer --- Levenberg–Marquardt algorithm --- performance prediction --- thermal energy storage --- stratification --- dynamic simulation --- heating --- double-channel sewage pump --- critical wall roughness --- numerical calculation --- external characteristics --- axial-flow pump --- impeller --- approximation model --- optimization design --- multi-disciplinary --- blade slot --- orthogonal test --- numerical simulation --- Francis turbine --- anti-cavity fins --- draft tube --- vortex rope --- low flow rates --- internal flow characteristics --- unsteady pressure --- energy recovery --- turboexpander --- throttling valves --- CFD --- modelling techniques --- Kaplan turbine --- draft tube optimization --- CFD analysis --- DOE --- response surface --- single-channel pump --- CFD-DEM coupling method --- particle features and behaviors --- solid-liquid two-phase flows --- computational fluid dynamics (CFD) --- artificial neural network (ANN) --- subcooled boiling flows --- uncertainty quantification (UQ) --- Monte Carlo dropout --- deep ensemble --- deep neural network (DNN) --- intake structures --- physical hydraulic model --- free surface flow --- free surface vortices --- vertical pump --- design considerations --- magnetocaloric effect --- coefficient of performance --- refrigeration --- capacity --- mathematical modelling --- energy systems