LEADER 07496nam 2201957z- 450 001 9910346686803321 005 20210211 035 $a(CKB)4920000000094801 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/46556 035 $a(oapen)doab46556 035 $a(EXLCZ)994920000000094801 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEntropy Applications in Environmental and Water Engineering 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 online resource (512 p.) 311 08$a3-03897-222-3 330 $aEntropy 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. 606 $aHistory of engineering and technology$2bicssc 610 $aaccelerating genetic algorithm 610 $aAnhui Province 610 $aANN 610 $aant colony fuzzy clustering 610 $aarid region 610 $abagging 610 $aBayesian technique 610 $aBeta-Lognormal model 610 $abootstrap aggregating 610 $abootstrap neural networks 610 $aBurg entropy 610 $acanopy flow 610 $achanging environment 610 $aclimacogram 610 $acoherent structures 610 $acombined forecast 610 $acomplement 610 $acomplex systems 610 $acomplexity 610 $acomposite multiscale sample entropy 610 $aconditional entropy production 610 $aconfidence intervals 610 $aconfigurational entropy 610 $aconnection entropy 610 $acontinuous probability distribution functions 610 $acrop yield 610 $across elasticity 610 $across entropy 610 $across-entropy minimization 610 $adata-scarce 610 $aEEF method 610 $aEl Nin?o 610 $aensemble model simulation criterion 610 $aENSO 610 $aentropy 610 $aentropy applications 610 $aentropy ensemble filter 610 $aentropy of information 610 $aentropy parameter 610 $aentropy production 610 $aentropy spectral analysis time series analysis 610 $aentropy theory 610 $aentropy weighting method 610 $aenvironmental engineering 610 $aflood frequency analysis 610 $aflow duration curve 610 $aflow entropy 610 $aflux concentration relation 610 $aforewarning model 610 $afour-parameter exponential gamma distribution 610 $afrequency analysis 610 $afuzzy analytic hierarchy process 610 $aGB2 distribution 610 $ageneralized gamma (GG) distribution 610 $agroundwater depth 610 $aHei River basin 610 $aHexi corridor 610 $ahydraulics 610 $ahydrological risk analysis 610 $ahydrology 610 $ahydrometeorological extremes 610 $ahydrometric network 610 $ainformation 610 $ainformation entropy 610 $ainformation theory 610 $ainformation transfer 610 $ainformational entropy 610 $ajoint entropy 610 $akernel density estimation 610 $aKolmogorov complexity 610 $aLagrangian function 610 $aland suitability evaluation 610 $aLoess Plateau 610 $amarginal entropy 610 $amaximum entropy-copula method 610 $amaximum likelihood estimation 610 $amean annual runoff 610 $amethods of moments 610 $amodeling 610 $amonthly streamflow forecasting 610 $amulti-events 610 $amultiplicative cascades 610 $amutual information 610 $aNDVI 610 $anetwork design 610 $aneural network forecast 610 $anon-point source pollution 610 $anonlinear relation 610 $aoptimization 610 $apower laws 610 $aPoyang Lake basin 610 $aprecipitation 610 $aprecipitation frequency analysis 610 $aprinciple of maximum entropy 610 $aprinciple of maximum entropy (POME) 610 $aprobability distribution function 610 $aprojection pursuit 610 $aquaternary catchment 610 $aradar 610 $arainfall 610 $arainfall forecast 610 $arainfall network 610 $arandomness 610 $aresilience 610 $arobustness 610 $ascaling 610 $ascaling laws 610 $asea surface temperature 610 $aset pair analysis 610 $aShannon entropy 610 $asoil water content 610 $aspatial and dynamics characteristic 610 $aspatial optimization 610 $aspatio-temporal variability 610 $astatistical scaling 610 $astochastic processes 610 $astreamflow 610 $asubstitute 610 $atemperature 610 $atrend 610 $atropical Pacific 610 $atropical rainfall 610 $aTsallis entropy 610 $aturbulence 610 $aturbulent flow 610 $auncertainty 610 $avariability 610 $avariation of information 610 $awater distribution networks 610 $awater engineering 610 $awater level 610 $awater monitoring 610 $awater resource carrying capacity 610 $awater resources 610 $awater resources vulnerability 615 7$aHistory of engineering and technology 700 $aCui$b Huijuan$4auth$01328942 702 $aSivakumar$b Bellie$4auth 702 $aSingh$b Vijay P$4auth 906 $aBOOK 912 $a9910346686803321 996 $aEntropy Applications in Environmental and Water Engineering$93039202 997 $aUNINA