07362nam 2201921z- 450 991034668680332120231214133504.0(CKB)4920000000094801(oapen)https://directory.doabooks.org/handle/20.500.12854/46556(EXLCZ)99492000000009480120202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEntropy Applications in Environmental and Water EngineeringMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (512 p.)3-03897-222-3 Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Reacutenyi Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.hydrological risk analysismodelingwater levelPoyang Lake basintrendcomposite multiscale sample entropyflood frequency analysiscanopy flowprecipitationwater resourcescomplex systemsfrequency analysisoptimizationcombined forecastneural network forecastentropy spectral analysis time series analysisenvironmental engineeringhydrometric networksea surface temperaturekernel density estimationrobustnessturbulent flowentropy productionconnection entropyflux concentration relationturbulencetropical rainfallgeneralized gamma (GG) distributionmulti-eventsEl Niñojoint entropyentropy weighting methodAnhui Provincechanging environmentcomplexitymultiplicative cascadesTsallis entropyHexi corridorcoherent structureswater resources vulnerabilityuncertaintyvariabilityflow entropyHei River basinfuzzy analytic hierarchy processsubstitutecrop yieldconditional entropy productionentropyflow duration curvemean annual runofftemperaturehydrometeorological extremesresilienceLoess Plateauinformation entropyscalingwater distribution networkscross entropyrandomnessforewarning modelentropy applicationsquaternary catchmentspatio-temporal variabilityprobability distribution functionant colony fuzzy clusteringradarcontinuous probability distribution functionsShannon entropyinformational entropyinformationconfidence intervalsmarginal entropyrainfall forecastentropy of informationstreamflowpower lawsbootstrap aggregatingmaximum entropy-copula methodspatial and dynamics characteristicprojection pursuitset pair analysisentropy theorywater resource carrying capacityentropy parameterprecipitation frequency analysisprinciple of maximum entropyinformation theorystochastic processesnetwork designcomplementcross elasticityclimacogrammethods of momentshydrologybaggingprinciple of maximum entropy (POME)rainfall networkentropy ensemble filterensemble model simulation criterionLagrangian functionBeta-Lognormal modelcross-entropy minimizationANNconfigurational entropyvariation of informationstatistical scalingEEF methodwater monitoringmaximum likelihood estimationGB2 distributionNDVIfour-parameter exponential gamma distributionhydraulicsspatial optimizationKolmogorov complexitybootstrap neural networksmutual informationaccelerating genetic algorithmgroundwater depthrainfalltropical Pacificwater engineeringmonthly streamflow forecastingENSOnonlinear relationBayesian techniquenon-point source pollutionBurg entropydata-scarcescaling lawssoil water contentarid regionland suitability evaluationinformation transferCui Huijuanauth1328942Sivakumar BellieauthSingh Vijay PauthBOOK9910346686803321Entropy Applications in Environmental and Water Engineering3039202UNINA04010nam 2200877z- 450 991034688030332120231214132815.03-03897-959-7(CKB)4920000000101717(oapen)https://directory.doabooks.org/handle/20.500.12854/52847(EXLCZ)99492000000010171720202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMaterial and Process Design for Lightweight StructuresMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (162 p.)3-03897-958-9 The use of lightweight structures across several industries has become inevitable in today’s world given the ever-rising demand for improved fuel economy and resource efficiency. In the automotive industry, composites, reinforced plastics, and lightweight materials, such as aluminum and magnesium are being adopted by many OEMs at increasing rates to reduce vehicle mass and develop efficient new lightweight designs. Automotive weight reduction with high-strength steel is also witnessing major ongoing efforts to design novel damage-controlled forming processes for a new generation of efficient, lightweight steel components. Although great progress has been made over the past decades in understanding the thermomechanical behavior of these materials, their extensive use as lightweight solutions is still limited due to numerous challenges that play a key role in cost competitiveness. Hence, significant research efforts are still required to fully understand the anisotropic material behavior, failure mechanisms, and, most importantly, the interplay between industrial processing, microstructure development, and the resulting properties. This Special Issue reprint book features concise reports on the current status in the field. The topics discussed herein include areas of manufacturing and processing technologies of materials for lightweight applications, innovative microstructure and process design concepts, and advanced characterization techniques combined with modeling of material’s behavior.microstructureMg-Al-Ba-Ca alloystrengthsevere plastic deformationhot workingsurface roughnesshigh pressure torsion extrusionoptimizationfatigue fracture behaviormagnesium alloysde-coringformabilitymultilayered sheetsHPDCspring-backcontact heat transfermechanical propertiesbendingin-die quenchingequivalent strainlight metalsprocessingheat transferdamagecreep agingthin-walled profilerollingaluminum alloytransmission line fittingsceramic coreprocessing mapautomated void recognitionFEAmulti-output porthole extrusiondensitykinetic analysistexturenon-ferrous alloysmaterial characterizationstress superpositionhot stampingmetal flowhybrid composite materialV-bending testfinite element modelaluminium alloyshear lap testAl-Cu-Mg alloycharacterizationAl-Samman Talalauth1311296BOOK9910346880303321Material and Process Design for Lightweight Structures3036687UNINA