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Titlebook: Distributed Hydrologic Modeling Using GIS; Baxter E. Vieux Book 20011st edition Springer Science+Business Media B.V. 2001 Infiltration.agr

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https://doi.org/10.1057/9780230253049ry to use GIS to model hydrologic processes, i.e., the spatial and temporal distribution of the inputs and parameters controlling surface runoff. GIS maps describing topography, land use and cover, soils, rainfall, and meteorological variables may become model parameters or inputs in the simulation of hydrologic processes.
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https://doi.org/10.1057/9780230270794 adjustment at larger cell sizes. This chapter identifies a scaling relationship of the drainage network derived at one resolution to those obtained at larger resolutions. Implicit in the discharge-scaling relationship is the fractal dimension of the drainage network.
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The British Commonwealth and Empireng from rainfall intensities exceeding the infiltration rate of the soil surface. Figure 9.1 shows the grid cell representation and drainage network used by ., a water quantity model. This chapter presents the mathematical analogy and numerical algorithms used in . to solve the governing equations.
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https://doi.org/10.1057/9780230253049ial detail necessary for hydrologic modeling. If a larger resolution captures essentially the same information as a smaller resolution, it is preferable because computer storage and computational effort will be more efficient.
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https://doi.org/10.1057/9780230253049eration of raster surfaces from data points. Given the many surface generation utilities available within general purpose GIS packages such as ArcView or GRASS, it is important to understand how these surfaces are generated and some of the pitfalls. Figure 3.1 shows the hillslope shaded image of the
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