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Extremes in a Changing Climate [[electronic resource] ] : Detection, Analysis and Uncertainty / / edited by Amir AghaKouchak, David Easterling, Kuolin Hsu, Siegfried Schubert, Soroosh Sorooshian
| Extremes in a Changing Climate [[electronic resource] ] : Detection, Analysis and Uncertainty / / edited by Amir AghaKouchak, David Easterling, Kuolin Hsu, Siegfried Schubert, Soroosh Sorooshian |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (429 p.) |
| Disciplina | 551.6 |
| Collana | Water Science and Technology Library |
| Soggetto topico |
Atmospheric sciences
Climatology Statistics Civil engineering Atmospheric Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Civil Engineering |
| ISBN |
1-283-74099-0
94-007-4479-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Statistical Indices for Diagnosing and Detecting Changes in Extremes -- 2. Statistical Methods for Nonstationary Extremes -- 3. Bayesian Methods for Nonstationary Extreme Value Analysis -- 4. Return Periods and Return Levels Under Climate Change -- 5. Multivariate Extreme Value Methods -- 6. Methods of Extreme Value Index and Tail Dependence Estimation -- 7. Stochastic Models of Climate Extremes:Theory and Observations -- 8. Methods of Projecting Future Changes in Extremes -- 9. Climate Variability and Weather Extremes: Model-Simulated and Historical Data -- 10. Uncertainties in Observed Changes in Climate Extremes -- 11. Uncertainties in Projections of Future Changes in Extremes -- 12. Global Data Sets for Analysis of Climate Extremes -- 13. Nonstationarity in Extremes and Engineering Design -- Index. |
| Record Nr. | UNINA-9910437792203321 |
| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013 | ||
| 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 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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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