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Entropy Applications in Environmental and Water Engineering
| Entropy Applications in Environmental and Water Engineering |
| Autore | Cui Huijuan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (512 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
accelerating genetic algorithm
Anhui Province ANN ant colony fuzzy clustering arid region bagging Bayesian technique Beta-Lognormal model bootstrap aggregating bootstrap neural networks Burg entropy canopy flow changing environment climacogram coherent structures combined forecast complement complex systems complexity composite multiscale sample entropy conditional entropy production confidence intervals configurational entropy connection entropy continuous probability distribution functions crop yield cross elasticity cross entropy cross-entropy minimization data-scarce EEF method El Niño ensemble model simulation criterion ENSO entropy entropy applications entropy ensemble filter entropy of information entropy parameter entropy production entropy spectral analysis time series analysis entropy theory entropy weighting method environmental engineering flood frequency analysis flow duration curve flow entropy flux concentration relation forewarning model four-parameter exponential gamma distribution frequency analysis fuzzy analytic hierarchy process GB2 distribution generalized gamma (GG) distribution groundwater depth Hei River basin Hexi corridor hydraulics hydrological risk analysis hydrology hydrometeorological extremes hydrometric network information information entropy information theory information transfer informational entropy joint entropy kernel density estimation Kolmogorov complexity Lagrangian function land suitability evaluation Loess Plateau marginal entropy maximum entropy-copula method maximum likelihood estimation mean annual runoff methods of moments modeling monthly streamflow forecasting multi-events multiplicative cascades mutual information NDVI network design neural network forecast non-point source pollution nonlinear relation optimization power laws Poyang Lake basin precipitation precipitation frequency analysis principle of maximum entropy principle of maximum entropy (POME) probability distribution function projection pursuit quaternary catchment radar rainfall rainfall forecast rainfall network randomness resilience robustness scaling scaling laws sea surface temperature set pair analysis Shannon entropy soil water content spatial and dynamics characteristic spatial optimization spatio-temporal variability statistical scaling stochastic processes streamflow substitute temperature trend tropical Pacific tropical rainfall Tsallis entropy turbulence turbulent flow uncertainty variability variation of information water distribution networks water engineering water level water monitoring water resource carrying capacity water resources water resources vulnerability |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346686803321 |
Cui Huijuan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (376 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system (ANFIS)
ANFIS ANN ANN-based models artificial intelligence artificial neural network artificial neural networks backtracking search optimization algorithm (BSA) bat algorithm bees algorithm big data classification and regression trees (CART) convolutional neural networks cultural algorithm data assimilation data forward prediction data scarce basins data science database decision tree deep learning disasters Dongting Lake early flood warning systems empirical wavelet transform ensemble empirical mode decomposition (EEMD) ensemble machine learning ensemble technique extreme event management extreme learning machine (ELM) flash-flood flood events flood forecast flood forecasting flood inundation map flood prediction flood routing flood susceptibility modeling forecasting Google Maps Haraz watershed high-resolution remote-sensing images hybrid & hybrid neural network hydrograph predictions hydroinformatics hydrologic model hydrologic models hydrometeorology improved bat algorithm invasive weed optimization Karahan flood lag analysis Lower Yellow River LSTM LSTM network machine learning machine learning methods method of tracking energy differences (MTED) micro-model monthly streamflow forecasting Muskingum model natural hazards & nonlinear Muskingum model optimization parameters particle filter algorithm particle swarm optimization phase space reconstruction postprocessing precipitation-runoff rainfall-runoff random forest rating curve method real-time recurrent nonlinear autoregressive with exogenous inputs (RNARX) runoff series self-organizing map self-organizing map (SOM) sensitivity soft computing St. Venant equations stopping criteria streamflow predictions superpixel support vector machine survey the Three Gorges Dam the upper Yangtze River time series prediction uncertainty urban water bodies water level forecast Wilson flood wolf pack algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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