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The book presents recent studies covering the aspects of challenges in predictive modelling and applications. Advanced numerical techniques for accurate and efficient real-time prediction and optimal management in coastal and hydraulic engineering are explored. For example, adaptive unstructured meshes are introduced to capture the important dynamics that operate over a range of length scales. Deep learning techniques enable rapid and accurate modelling simulations and pave the way towards both real-time forecasting and overall optimisation control over time, thus improving profitability and managing risk. The use of data assimilation techniques incorporates information from experiments and observations to reduce uncertainties in predictions and improve predictive accuracy. Targeted observation approaches can be used for identifying when, where, and what types of observations would provide the greatest improvement to specific model forecasts at a future time. Such targeted observations are important as they will allow the most effective use of available monitoring resources. The combination of deep learning and data assimilation enables a rapid and accurate response in emergencies. The technologies discussed here can be also used to determine the sensitivity of outputs to various operational conditions in engineering and management, thus providing reliable information to both the public and policy-makers

Research & information: general --- numerical modelling --- unstructured meshes --- finite volume --- North Sea --- salinity --- deep learning --- martinez boundary salinity generator --- Sacramento-San Joaquin Delta --- residence time --- exposure time --- transport time scale --- hyper-tidal estuary --- singular value decomposition --- data assimilation --- ocean models --- observation strategies --- ocean forecasting systems --- ocean Double Gyre --- 4D-Var --- ROMS --- MEOF --- initial ensemble --- ensemble spread --- LETKF --- numerical modelling --- unstructured meshes --- finite volume --- North Sea --- salinity --- deep learning --- martinez boundary salinity generator --- Sacramento-San Joaquin Delta --- residence time --- exposure time --- transport time scale --- hyper-tidal estuary --- singular value decomposition --- data assimilation --- ocean models --- observation strategies --- ocean forecasting systems --- ocean Double Gyre --- 4D-Var --- ROMS --- MEOF --- initial ensemble --- ensemble spread --- LETKF

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book presents recent studies covering the aspects of challenges in predictive modelling and applications. Advanced numerical techniques for accurate and efficient real-time prediction and optimal management in coastal and hydraulic engineering are explored. For example, adaptive unstructured meshes are introduced to capture the important dynamics that operate over a range of length scales. Deep learning techniques enable rapid and accurate modelling simulations and pave the way towards both real-time forecasting and overall optimisation control over time, thus improving profitability and managing risk. The use of data assimilation techniques incorporates information from experiments and observations to reduce uncertainties in predictions and improve predictive accuracy. Targeted observation approaches can be used for identifying when, where, and what types of observations would provide the greatest improvement to specific model forecasts at a future time. Such targeted observations are important as they will allow the most effective use of available monitoring resources. The combination of deep learning and data assimilation enables a rapid and accurate response in emergencies. The technologies discussed here can be also used to determine the sensitivity of outputs to various operational conditions in engineering and management, thus providing reliable information to both the public and policy-makers

numerical modelling --- unstructured meshes --- finite volume --- North Sea --- salinity --- deep learning --- martinez boundary salinity generator --- Sacramento–San Joaquin Delta --- residence time --- exposure time --- transport time scale --- hyper-tidal estuary --- singular value decomposition --- data assimilation --- ocean models --- observation strategies --- ocean forecasting systems --- ocean Double Gyre --- 4D-Var --- ROMS --- MEOF --- initial ensemble --- ensemble spread --- LETKF --- n/a --- Sacramento-San Joaquin Delta

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The book collects seven original contributions in the field of climate and underlying human influences on renewable groundwater resources and/or stream–aquifer interactions. The first contribution introduces the following six ones into the overall framework of the topic. The second contribution assesses the impact of climate change scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The third contribution studies the patterns of river infiltration and the associated controlling factors by using a combination of field investigations and modeling techniques. The fourth contribution introduces a method to improve the modeling of streamflow in high-permeability bedrock basins receiving interbasin groundwater flow. The fifth contribution discusses the role of resilience of hydrogeological systems affected by either climate and/or anthropic actions in order to understand how anticipating negative changes and preserving its services. The sixth contribution analyzes the water balance of wetlands, which are systems highly sensitive to climate change and human action. The seventh contribution identifies groundwater bodies with low vulnerability to pumping to be used as potential buffer values for sustainable conjunctive use management during droughts.

Research & information: general --- ground subsidence --- climate change --- Vega de Granada aquifer --- river-aquifer interaction --- numerical simulation --- sensitivity analysis --- MODFLOW --- Heihe River --- SWAT model --- CMB method --- interbasin groundwater flow --- Castril River --- baseflow filter --- ecosystems --- hydrogeological system --- sustainability --- significant damage --- resilience --- wetlands --- paleo-groundwater --- climate --- sedimentary facies --- geochemistry --- Holocene --- Spain --- drought --- vulnerability to pumping --- residence time --- conjunctive use --- sustainable management --- adaptation strategies --- Spanish GW bodies in quantitative risk --- ground subsidence --- climate change --- Vega de Granada aquifer --- river-aquifer interaction --- numerical simulation --- sensitivity analysis --- MODFLOW --- Heihe River --- SWAT model --- CMB method --- interbasin groundwater flow --- Castril River --- baseflow filter --- ecosystems --- hydrogeological system --- sustainability --- significant damage --- resilience --- wetlands --- paleo-groundwater --- climate --- sedimentary facies --- geochemistry --- Holocene --- Spain --- drought --- vulnerability to pumping --- residence time --- conjunctive use --- sustainable management --- adaptation strategies --- Spanish GW bodies in quantitative risk

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The book collects seven original contributions in the field of climate and underlying human influences on renewable groundwater resources and/or stream–aquifer interactions. The first contribution introduces the following six ones into the overall framework of the topic. The second contribution assesses the impact of climate change scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The third contribution studies the patterns of river infiltration and the associated controlling factors by using a combination of field investigations and modeling techniques. The fourth contribution introduces a method to improve the modeling of streamflow in high-permeability bedrock basins receiving interbasin groundwater flow. The fifth contribution discusses the role of resilience of hydrogeological systems affected by either climate and/or anthropic actions in order to understand how anticipating negative changes and preserving its services. The sixth contribution analyzes the water balance of wetlands, which are systems highly sensitive to climate change and human action. The seventh contribution identifies groundwater bodies with low vulnerability to pumping to be used as potential buffer values for sustainable conjunctive use management during droughts.

Research & information: general --- ground subsidence --- climate change --- Vega de Granada aquifer --- river-aquifer interaction --- numerical simulation --- sensitivity analysis --- MODFLOW --- Heihe River --- SWAT model --- CMB method --- interbasin groundwater flow --- Castril River --- baseflow filter --- ecosystems --- hydrogeological system --- sustainability --- significant damage --- resilience --- wetlands --- paleo-groundwater --- climate --- sedimentary facies --- geochemistry --- Holocene --- Spain --- drought --- vulnerability to pumping --- residence time --- conjunctive use --- sustainable management --- adaptation strategies --- Spanish GW bodies in quantitative risk --- n/a

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Steel has become the most requested material all over the world during the rapid technological evolution of recent centuries. As our civilization grows and its technological development becomes connected with more demanding processes, it is more and more challenging to fit the required physical and mechanical properties for steel in its huge portfolio of grades for each steel producer. It is necessary to improve the refining and casting processes continuously to meet customer requirements and to lower the production costs to remain competitive. New challenges related to both the precise design of steel properties and reduction in production costs are combined with paying special attention to environmental protection. These contradictory demands are the theme of this book.

History of engineering & technology --- oxygen converter slag --- chemical composition of slag --- structural composition of slag --- continuous casting --- tundish --- residence time --- transient casting --- swirling flow tundish --- SEN immersion depth --- multiphase flow --- heat transfer --- continuous casting mold --- computional fluid dynamiscs (CFD) --- fuzzy logic --- optimal cooling --- steel quality prediction --- deoxidation --- inclusions --- thermodynamics --- Ti-bearing steel --- Ca treatment --- dephosphorization --- EAF --- BOF --- phosphorus equilibrium --- wide-thick slab --- non-uniform solidification --- heavy reduction --- porosity --- deformation --- ladle stirring --- turbulence --- slag --- interface --- refining --- mixing time --- slag opening --- pipeline steel --- cooling rate --- composition --- Al-TRIP steel --- slag-steel reaction --- crystalline morphology --- equilibrium model --- CALPHAD --- thermodynamic model --- rare earth --- numerical simulation --- C80D steel --- transverse water flux distribution --- solidification structure --- reoxidation --- tundish cover flux --- Cr2O3 --- decomposition reaction --- RH degasser --- physical Simulation --- mixing Time --- PIV --- flow field --- oxygen converter slag --- chemical composition of slag --- structural composition of slag --- continuous casting --- tundish --- residence time --- transient casting --- swirling flow tundish --- SEN immersion depth --- multiphase flow --- heat transfer --- continuous casting mold --- computional fluid dynamiscs (CFD) --- fuzzy logic --- optimal cooling --- steel quality prediction --- deoxidation --- inclusions --- thermodynamics --- Ti-bearing steel --- Ca treatment --- dephosphorization --- EAF --- BOF --- phosphorus equilibrium --- wide-thick slab --- non-uniform solidification --- heavy reduction --- porosity --- deformation --- ladle stirring --- turbulence --- slag --- interface --- refining --- mixing time --- slag opening --- pipeline steel --- cooling rate --- composition --- Al-TRIP steel --- slag-steel reaction --- crystalline morphology --- equilibrium model --- CALPHAD --- thermodynamic model --- rare earth --- numerical simulation --- C80D steel --- transverse water flux distribution --- solidification structure --- reoxidation --- tundish cover flux --- Cr2O3 --- decomposition reaction --- RH degasser --- physical Simulation --- mixing Time --- PIV --- flow field