Delta-Q and FOREST Cumulative Effects Models
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Delta-Q and FOREST Cumulative Effects Models: Recent increases in geographic information systems, computing power, and field data are facilitating the development of spatially explicit, quasi-physically based models to more accurately assess cumulative watershed effects (CWEs). The goal is to develop a modular set of procedures that allows resource specialists to rapidly predict changes in runoff and sediment yields for watersheds ranging in size from approximately 10 to 100 km2.
As a first step, two modules are being developed to predict catchment-scale changes in runoff and surface erosion due to forest harvest, roads, and fires. With respect to runoff, the lack of paired-watershed studies in the Sierra means that management-induced changes in peak flows, median flows, and low flows are estimated from published values. Background and management-induced erosion rates are being obtained from a combination of literature values and field data collected by the authors from 1999-2002. The predicted changes in runoff are summed over the catchment being modeled, while the sediment model has procedures to deliver sediment from the hillslope to the stream network as a function of hillslope gradient, land cover, soils, and distance from the channel. Sediment will be routed through the stream network as a function of stream gradient, drainage area, and particle size. |
(Post fire erosion - Schoonover Gulch, CO ) |
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(Patch cuts - Coon Creek, WY)
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Objective:To develop a model with the following characteristics:
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NotesDELTA-Q and FOREST are PC based models. They require an ESRI ArcGIS 8 or 9.x license to run correctly. |
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(South Platte River, CO) |
DownloadsClick here for installation instructions.For detailed instructions see the documentation for Delta-Q and FOREST. Download: Delta-Q and FOREST (Forest Erosion Simulation Tools) Sample data (~20 mb) should only be used to become familiar with the model, not for reporting results. Many values were missing so they were fudged in order to test the model! |
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