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1. A distributed converging overland flow model: 1. Mathematical solutions

Sherman, Bernard, Singh, Vijay P.,

In models for overland flow based on kinematic wave theory the friction parameter is assumed to be constant. This paper studies a converging geometry and allows continuous spatial variability in the p...

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2. A distributed converging overland flow model: 2. Effect of infiltration

Sherman, Bernard, Singh, Vijay P.,

The overland flow on an infiltrating converging surface is studied. Mathematical solutions are developed to study the effect of infiltration on nonlinear overland flow dynamics. To develop mathematica...

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3. A distributed converging overland flow model: 3. Application to Natural Watersheds

Singh, Vijay P.,

The proposed distributed converging overland flow model is utilized to predict surface runoff from three natural agricultural watersheds. The Lax-Wendroff scheme is used to obtain numerical solutions....

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4. A fractional dispersion model for overland solute transport

Deng, Zhi-Qiang, de Lima, M. Isabel P., Singh, Vijay P., de Lima, Jo?�o L. M. P.,

Using the kinematic-wave overland flow equation and a fractional dispersion-advection equation, a process-oriented, physically-based model is developed for overland solute transport. Two scenarios, on...

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5. A kinematic model for surface irrigation: An extension

Sherman, Bernard, Singh, Vijay P.,

The kinematic model for surface irrigation, reported previously by Sherman and Singh (1978), is extended. Depending upon the duration of irrigation and time variability of infiltration, three cases ar...

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6. A kinematic model for surface irrigation: Verification by experimental data

Singh, Vijay P., Ram, Rama S.,

A kinematic model for surface irrigation is verified by experimental data obtained for 31 borders. These borders are of varied characteristics. Calculated values of advance times, water surface profil...

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7. A stochastic model for sediment yield using the Principle of Maximum Entropy

Singh, V. P., Krstanovic, P. F.,

The principle of maximum entropy was applied to derive a stochastic model for sediment yield from upland watersheds. By maximizing the conditional entropy subject to certain constraints, a probability...

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8. An entropy-based morphological analysis of river basin networks

Fiorentino, Mauro, Claps, Pierluigi, Singh, Vijay P.,

Under the assumption that the only information available on a drainage basin is its mean elevation, the connection between entropy and potential energy is explored to analyze drainage basins morpholog...

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9. Downstream hydraulic geometry relations: 1. Theoretical development

Singh, Vijay P., Yang, Chih Ted, Deng, Z. Q.,

In this study, it is hypothesized that (1) the spatial variation of the stream power of a channel for a given discharge is accomplished by the spatial variation in channel form (flow depth and channel...

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10. Downstream hydraulic geometry relations: 2. Calibration and testing

Singh, Vijay P., Yang, Chih Ted, Deng, Zhi-Qiang,

Using 456 data sets under bank-full conditions obtained from various sources, the geometric relations, derived in part 1 [ Singh et al., 2003 ], are calibrated and verified using the split sampling ap...

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