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Advances in data-based approaches for hydrologic modeling and forecasting [[electronic resource] /] / [edited by] Bellie Sivakumar, Ronny Berndtsson
| Advances in data-based approaches for hydrologic modeling and forecasting [[electronic resource] /] / [edited by] Bellie Sivakumar, Ronny Berndtsson |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (526 p.) |
| Disciplina | 551.480113 |
| Altri autori (Persone) |
SivakumarBellie
BerndtssonRonny <1956-> |
| Soggetto topico |
Hydrologic models
Hydrological forecasting |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-14463-8
9786613144638 981-4307-98-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Setting the stage -- Stochastic methods for modeling precipitation and streamflow -- Model calibration in watershed hydrology -- Scaling and fractals in hydrology -- Remote sensing for precipitation and hydrologic applications -- Nearly two decades of neural network hydrologic modeling -- Evolutionary computing in hydrology -- Wavelet analyses in hydrology -- Nonlinear dynamics and chaos in hydrology -- Summary and future. |
| Record Nr. | UNINA-9910463908303321 |
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in data-based approaches for hydrologic modeling and forecasting [[electronic resource] /] / [edited by] Bellie Sivakumar, Ronny Berndtsson
| Advances in data-based approaches for hydrologic modeling and forecasting [[electronic resource] /] / [edited by] Bellie Sivakumar, Ronny Berndtsson |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (526 p.) |
| Disciplina | 551.480113 |
| Altri autori (Persone) |
SivakumarBellie
BerndtssonRonny <1956-> |
| Soggetto topico |
Hydrologic models
Hydrological forecasting |
| ISBN |
1-283-14463-8
9786613144638 981-4307-98-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Setting the stage -- Stochastic methods for modeling precipitation and streamflow -- Model calibration in watershed hydrology -- Scaling and fractals in hydrology -- Remote sensing for precipitation and hydrologic applications -- Nearly two decades of neural network hydrologic modeling -- Evolutionary computing in hydrology -- Wavelet analyses in hydrology -- Nonlinear dynamics and chaos in hydrology -- Summary and future. |
| Record Nr. | UNINA-9910788555403321 |
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Entropy Applications in Environmental and Water Engineering / Vijay P. Singh, Bellie Sivakumar, Huijuan Cui
| Entropy Applications in Environmental and Water Engineering / Vijay P. Singh, Bellie Sivakumar, Huijuan Cui |
| Autore | Singh Vijay P |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 online resource (1 p.) |
| Soggetto non controllato | complexity; streamflow; water level; composite multiscale sample entropy; trend; Poyang Lake basin; four-parameter exponential gamma distribution; principle of maximum entropy; precipitation frequency analysis; methods of moments; maximum likelihood estimation; flood frequency analysis; generalized gamma (GG) distribution; principle of maximum entropy (POME); entropy theory; principle of maximum entropy (POME); GB2 distribution; flood frequency analysis; non-point source pollution; ANN; entropy weighting method; data-scarce; multi-events; spatio-temporal variability; soil water content; entropy; arid region; joint entropy; NDVI; temperature; precipitation; groundwater depth; Hei River basin; turbulent flow; canopy flow; randomness; coherent structures; Shannon entropy; Kolmogorov complexity; entropy; information transfer; optimization; radar; rainfall network; water resource carrying capacity; forewarning model; entropy of information; fuzzy analytic hierarchy process; projection pursuit; accelerating genetic algorithm; entropy production; conditional entropy production; stochastic processes; scaling; climacogram; turbulence; water resources vulnerability; connection entropy; changing environment; set pair analysis; Anhui Province; cross-entropy minimization; land suitability evaluation; spatial optimization; monthly streamflow forecasting; Burg entropy; configurational entropy; entropy spectral analysis time series analysis; entropy; water monitoring; network design; hydrometric network; information theory; entropy applications; hydrological risk analysis; maximum entropy-copula method; uncertainty; Loess Plateau; entropy; water engineering; Tsallis entropy; principle of maximum entropy; Lagrangian function; probability distribution function; flux concentration relation; uncertainty; information; informational entropy; variation of information; continuous probability distribution functions; confidence intervals; precipitation; variability; marginal entropy; crop yield; Hexi corridor; flow duration curve; Shannon entropy; entropy parameter; modeling; spatial and dynamics characteristic; hydrology; tropical rainfall; statistical scaling; Tsallis entropy; multiplicative cascades; Beta-Lognormal model; rainfall forecast; cross entropy; ant colony fuzzy clustering; combined forecast; information entropy; mutual information; kernel density estimation; ENSO; nonlinear relation; scaling laws; power laws; water distribution networks; robustness; flow entropy; entropy theory; frequency analysis; hydrometeorological extremes; Bayesian technique; rainfall; entropy ensemble filter; ensemble model simulation criterion; EEF method; bootstrap aggregating; bagging; bootstrap neural networks; El Niño; ENSO; neural network forecast; sea surface temperature; tropical Pacific; entropy; cross elasticity; mean annual runoff; water resources; resilience; quaternary catchment; complement; substitute; entropy theory; complex systems; hydraulics; hydrology; water engineering; environmental engineering |
| ISBN |
9783038972235
3038972231 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910765615203321 |
|
Singh Vijay P
|
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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