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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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. |
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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 |
work_keys_str_mv |
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Entropy Applications in Environmental and Water Engineering |
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