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Entropy Applications in Environmental and Water Engineering

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Palabras clave – provistas por la editorial

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

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03897-223-5

País de edición

Suiza