Titlebook: Distributed Hydrologic Modeling Using GIS; Baxter E. Vieux Book 20042nd edition Springer Science+Business Media Dordrecht 2004 Filtration.

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Data Sources and Structure,er maps, the parameter takes on the characteristic data structure of the original map. Thus, the data structure inherent in the original GIS map has lasting influence on the hydrologic process simulated using the derived parameters. In the following chapter we turn to the generation of surfaces from

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Distributed Hydrologic Modeling,IS. Depending on the reader’s interest, the techniques described should have wider application than just the subset of hydrologic processes that are addressed in the following chapters. The objective of this book is to present scientific principles of distributed hydrologic modeling. In an effort to

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Data Sources and Structure, the watershed and runoff processes. GIS data often lacks sufficient detail, space-time resolution, attributes, or differs in some fundamental way from how the model expects the character of the parameter and how the parameter is measured. Existing data sources are often surrogate measures that atte

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Spatial Variability,oped a measure of spital variability called information content adapted from communication theory. It is easily applied to a map of parameters to gauge the effects of resolution or other filters. If information content is not lost as we increase cell size, we may be able to use coarser resolution ma

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Infiltration Modeling,d the soil characteristics are usually done at point locations. Estimating infiltration from soil maps may be the only feasible alternative to making extensive measurements. In order to gain some idea of the spatial distribution of soil characteristics and infiltration over large areas, we must reso