Entropy Applications in Environmental and Water Engineering

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,...

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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (512 p.)
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id 993548334704498
ctrlnum (CKB)4920000000094801
(oapen)https://directory.doabooks.org/handle/20.500.12854/46556
(EXLCZ)994920000000094801
collection bib_alma
record_format marc
spelling Cui, Huijuan auth
Entropy Applications in Environmental and Water Engineering
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (512 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
hydrological risk analysis
modeling
water level
Poyang Lake basin
trend
composite multiscale sample entropy
flood frequency analysis
canopy flow
precipitation
water resources
complex systems
frequency analysis
optimization
combined forecast
neural network forecast
entropy spectral analysis time series analysis
environmental engineering
hydrometric network
sea surface temperature
kernel density estimation
robustness
turbulent flow
entropy production
connection entropy
flux concentration relation
turbulence
tropical rainfall
generalized gamma (GG) distribution
multi-events
El Niño
joint entropy
entropy weighting method
Anhui Province
changing environment
complexity
multiplicative cascades
Tsallis entropy
Hexi corridor
coherent structures
water resources vulnerability
uncertainty
variability
flow entropy
Hei River basin
fuzzy analytic hierarchy process
substitute
crop yield
conditional entropy production
entropy
flow duration curve
mean annual runoff
temperature
hydrometeorological extremes
resilience
Loess Plateau
information entropy
scaling
water distribution networks
cross entropy
randomness
forewarning model
entropy applications
quaternary catchment
spatio-temporal variability
probability distribution function
ant colony fuzzy clustering
radar
continuous probability distribution functions
Shannon entropy
informational entropy
information
confidence intervals
marginal entropy
rainfall forecast
entropy of information
streamflow
power laws
bootstrap aggregating
maximum entropy-copula method
spatial and dynamics characteristic
projection pursuit
set pair analysis
entropy theory
water resource carrying capacity
entropy parameter
precipitation frequency analysis
principle of maximum entropy
information theory
stochastic processes
network design
complement
cross elasticity
climacogram
methods of moments
hydrology
bagging
principle of maximum entropy (POME)
rainfall network
entropy ensemble filter
ensemble model simulation criterion
Lagrangian function
Beta-Lognormal model
cross-entropy minimization
ANN
configurational entropy
variation of information
statistical scaling
EEF method
water monitoring
maximum likelihood estimation
GB2 distribution
NDVI
four-parameter exponential gamma distribution
hydraulics
spatial optimization
Kolmogorov complexity
bootstrap neural networks
mutual information
accelerating genetic algorithm
groundwater depth
rainfall
tropical Pacific
water engineering
monthly streamflow forecasting
ENSO
nonlinear relation
Bayesian technique
non-point source pollution
Burg entropy
data-scarce
scaling laws
soil water content
arid region
land suitability evaluation
information transfer
3-03897-222-3
Sivakumar, Bellie auth
Singh, Vijay P. auth
language English
format eBook
author Cui, Huijuan
spellingShingle Cui, Huijuan
Entropy Applications in Environmental and Water Engineering
author_facet Cui, Huijuan
Sivakumar, Bellie
Singh, Vijay P.
author_variant h c hc
author2 Sivakumar, Bellie
Singh, Vijay P.
author2_variant b s bs
v p s vp vps
author_sort Cui, Huijuan
title Entropy Applications in Environmental and Water Engineering
title_full Entropy Applications in Environmental and Water Engineering
title_fullStr Entropy Applications in Environmental and Water Engineering
title_full_unstemmed Entropy Applications in Environmental and Water Engineering
title_auth Entropy Applications in Environmental and Water Engineering
title_new Entropy Applications in Environmental and Water Engineering
title_sort entropy applications in environmental and water engineering
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (512 p.)
isbn 3-03897-222-3
illustrated Not Illustrated
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