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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 electronic resource (512 p.) |
| Soggetto non controllato |
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 |
| 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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