Journal of hydrologic engineering, Vol. 8, N° 6. Journal of Hydrologic Engineering - Novembre/Decembre 2003
| Titre : | Journal of hydrologic engineering, Vol. 8, N° 6. Journal of Hydrologic Engineering - Novembre/Decembre 2003 |
| Type de document : | Bulletin |
| Paru le : | 17/01/2006 |
Dépouillements
Article : texte imprimé
Eng, Ken, Auteur ;
Coulter, Richard L., Auteur ;
Brutsaert, Wilfried
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Vertical velocity variance data were derived from remotely sensed mixed layer turbulence measurements at the Atmospheric Boundary Layer Exmperiements (ABLE) facility in Butler County, Kansas. These measurements and associated data were provided [...]
Article : texte imprimé
Bedient, Philip B., Auteur ;
Holder, Anthony, Auteur ;
Benavides, Jude A. ;
Vieux, Baxter E.
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Flood warning systems in urban areas have greatly improved in recent years with the advent of geographical information systems (GIS), radar based rainfall estimation using next generation radar (NEXRAD), and delivery systems on the internet. The[...]
Article : texte imprimé
Kim Tae-Woong, Auteur ;
Valdés, Juan B., Auteur
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Droughts are destructive climatic extreme events that may cause significant damage both in natural environments and in human lives. Drought forecasting plays an important role in the control and management of water resources systems. In this stu[...]
Article : texte imprimé
Sen, Zekai, Auteur ;
Özger, Mehmet ;
Altunkaynak, Abdusselam, Auteur
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Persistence is the most important property in any hydrologic design concerning the storage capacity of reservoirs, average return periods, failure risks, and drought properties. Its consideration in analytical derivations of design criteria pres[...]
Article : texte imprimé
Szilagyi, Jozef, Auteur
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A discretization of the continuous Kalinin-Milyukov-Nash-cascade is performed with the help of state space analysis for hydrological forecasting of stream flow. A sample data system approach is used during the discretization and results in discr[...]
Article : texte imprimé
Coppola Jr., Emery A., Auteur ;
Szidarovszky, Ferenc, Auteur ;
Poulton, Mary ;
Charles, Emmanuel
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The Feasibility of training an artificial neural network (ANN) for accurately predicting transient water levels in a complex multilayered ground water system under variable state, and pumping, and climate conditions is demonstrated. Using real w[...]
Article : texte imprimé
Srivastava, Rajesh, Auteur
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The Determination of aquifer diffusivity from water level observations in various wells close to a stream, in response to a linear increase in the stream stage, is discussed. It is noted that an earlier analytical solution proposed for this prob[...]
Article : texte imprimé
Fill, Heinz Dieter, Auteur ;
Steiner, Alexander Arns, Auteur
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Estimation of the design flood flow for hydraulic structures is often performed adjusting probabilistic models to daily mean flow series. This may cause an underdesign of the structure capacity with possible risks of failure, because instantaneo[...]
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