Journal of hydrologic engineering, Vol. 10, N°4. Journal of Hydrologic Engineering - Juillet/Août 2005
| Titre : | Journal of hydrologic engineering, Vol. 10, N°4. Journal of Hydrologic Engineering - Juillet/Août 2005 |
| Type de document : | Bulletin |
| Paru le : | 12/03/2006 |
Dépouillements
Article : texte imprimé
Jia, Yangwen, Auteur ;
Yoshitani, Junichi ;
Kinouchi, Tsuyoshi, Auteur
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The Water and energy transfer process (WEP) model, which has been successfully applied to urbanized waterheds, is improved for hydrologic modeling in an agricultural watershed by developing a paddy model. The New model is used to simulate the Ya[...]
Article : texte imprimé
Artificial neural networks (ANNs), due to their excellent capabilities for modeling complex processes, have been successfully applied to a variety of problems in hydrology. However, one of the major criticisms of ANNs is that they are just black[...]
Article : texte imprimé
Saghafian, Bahram, Auteur ;
Khosroshahi, Mohammad, Auteur
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Flood damage are usually concentrated along certain reaches of the main water course. However, a successful flood control project must look beyond the damaged reaches by studying the contribution of head water sub watersheds to the flood magnitu[...]
Article : texte imprimé
Salas, José D., Auteur ;
Chung, Chen-Hua, Auteur ;
Cancelliere, Antonino, Auteur
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When a continuous valued hydrological series such as monthly stream flows is clipped by a constant or variable threshold series (such as water demand), a binary series may be obtained. Such a series may be useful for analyzing and modeling a var[...]
Article : texte imprimé
Singh, Vijay P., Auteur ;
Liu, Q. Q., Auteur ;
Xiang, H.
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The Main factors affecting interril erosion including runoff discharge, rainfall intensity, mean flow velocity, and slope gradient were analyzed by using a gray relational analysis. An equation for interrill erosion was derived by coupling this [...]
Article : texte imprimé
Kacimov, A. R., Auteur ;
Youngs, E. G., Auteur
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An explicit closed-form analytical solution giving the water-table depression is obtained for the steady-state problem of seepage to a water-bearing substratum from two reservoirs separated by a strip of land over which water loss by evaporation[...]
Article : texte imprimé
Deka, Paresh, Auteur ;
Chandramouli, V., Auteur
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This Paper presents a new approach to river flow prediction using a fuzzy neural network (FNN) model. An FNN combines the learning ability of artificial neural networks with the merits of fuzzy logic. The FUNN model is found to be highly adaptiv[...]
Article : texte imprimé
Salas, José D., Auteur ;
Sveinsson, Oli G. B., Auteur ;
Boes, Duane C.
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We propose a probabilistic framework for modeling extreme events such as annual maximum floods, and annual low flows. The Model assumes that the underlying data sequence exhibits abrupt changes or shiffts in the mean, and the data are skewed and[...]
Article : texte imprimé
Allen, Robert J., Auteur ;
DeGaetano, Arthur T., Auteur
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National Oceanic and Atmospheric Administration Technical Paper-29, published in the late 1950s, remains the most commonly used reference for estimating extreme areal precipitation from station data in the United States. Although a number of alt[...]
Article : texte imprimé
Cigizoglu, Hikmet Kerem, Auteur
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The Majority of artificial neural network (ANN) applications to water resources data employ the feed-forward back-propagation (FFBP) method. This Study used an ANN algorithm, the generalized regression neural network (GRNN), for intermittent riv[...]
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