Entropy Applications in Environmental and Water Engineering

• Автор: Cui, Huijuan (auth)
• Інші автори: Sivakumar, Bellie (auth), Singh, Vijay P. (auth)
• Формат: Електронний ресурс Частина з книги
• Мова: Англійська
• Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Предмети: History of engineering & technology; 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
• Онлайн доступ: DOAB: download the publication; DOAB: description of the publication

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,...