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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cui, Huijuan | |
| dc.contributor.author | Sivakumar, Bellie | |
| dc.contributor.author | Singh, Vijay P. | |
| dc.date.accessioned | 2019-09-01T09:09:08Z | - |
| dc.date.available | 2019-09-01T09:09:08Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9783038972228 | |
| dc.identifier.uri | http://oers.taiwanmooc.org/jspui/handle/123456789/138712 | - |
| dc.language.iso | eng | |
| dc.publisher | MDPI - Multidisciplinary Digital Publishing Institute | |
| dc.relation.uri | https://mdpi.com/books/pdfview/book/1160 | |
| dc.rights.uri | CC BY-NC-ND (姓名標示-非商業性-禁止改作) | |
| dc.source | DOAB | |
| dc.subject.classification | Environmental Engineering --- General and Civil Engineering --- Technology (General) | |
| dc.subject.other | 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 NiA±o; 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 | |
| dc.title | Entropy Applications in Environmental and Water Engineering | |
| dc.type | 電子教科書 | |
| dc.classification | 應用科學類 | |
| Theme: | 教科書-應用科學類 | |
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