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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/10.1057/9780230253049gure 5.1 shows an eroded ski slope in Kalkaskia County, Michigan. The Kalkaskia soil is of glacial origin with permeability in excess of 24 cm/hr. Surface runoff and subsequent erosion was possible only because surface vegetation had been removed for construction and raindrop impact caused surface s
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The British Commonwealth and Empire of the cover such as that found under the tree canopies. A general land use/cover map may show this as agricultural or even as an orchard. However, the correct hydraulic roughness depends on the vegetative cover on the soil surface. Deriving hydraulic roughness coefficients for such land use classi
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The British Commonwealth and Empire a Geographic Information System (GIS). Digital maps of soils, land use, topography and rainfall rates are used to direct runoff, or . runoff, resulting from rainfall intensities exceeding the infiltration rate of the soil surface. Figure 9.1 shows the grid cell representation and drainage network u
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The British Commonwealth and Empire is that the spatial variation of parameters and rainfall input is incorporated into the model response. Each parameter and rainfall input has its own spatial variability, which can be characterized by informational entropy (see Chapter 4). Lumping of the parameter, i.e., taking the mean of a parame
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The British Commonwealth and Empire of the cover such as that found under the tree canopies. A general land use/cover map may show this as agricultural or even as an orchard. However, the correct hydraulic roughness depends on the vegetative cover on the soil surface. Deriving hydraulic roughness coefficients for such land use classification schemes is the theme of this chapter.
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