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Watershed Forest Management Information System (Wfmis), Yanli Zhang, P. K. Barten
Watershed Forest Management Information System (Wfmis), Yanli Zhang, P. K. Barten
Faculty Publications
Maintenance of a sustainable clean water supply is critical for our future. However, watershed degradation is a common phenomenon around the world that leads to poor water quality. In order to protect water resources, the Watershed Forest Management Information System (WFMIS), was developed as an extension of ArcGIS® and is described in this paper. There are three submodels to address nonpoint source pollution mitigation, road system management, and silvicultural operations, respectively. The Watershed Management Priority Indices (WMPI) is a zoning approach to prioritize critical areas for conservation and restoration management. It meets the critical need to spatially differentiate land cover …
Evaluating Forest Harvesting To Reduce Its Hydrologic Impact With A Spatial Decision Support System, Yanli Zhang, P. K. Barten, Ramanathan Sugumaran
Evaluating Forest Harvesting To Reduce Its Hydrologic Impact With A Spatial Decision Support System, Yanli Zhang, P. K. Barten, Ramanathan Sugumaran
Faculty Publications
Timber harvesting changes the condition of forest ecosystems, which are a major influence on the characteristics of headwater streams. Such characteristics include the quantity and timing of base flow and storm flow, concentrations of sediment and dissolved nutrients, water temperature, and the stability of the stream channels. This paper explores previous studies dealing with the relationship between timber harvesting and its hydrologic effects, especially long term water yield increase. The watershed disturbance threshold theory is raised and investigated in detail. The development and evaluation of a spatial decision support system, the Harvest Schedule Review System (HSRS), is then described. The …
Mapping Monthly Precipitation, Temperature, And Solar Radiation For Ireland With Polynomial Regression And A Digital Elevation Model, Christine L. Goodale, John D. Aber, Scott V. Ollinger
Mapping Monthly Precipitation, Temperature, And Solar Radiation For Ireland With Polynomial Regression And A Digital Elevation Model, Christine L. Goodale, John D. Aber, Scott V. Ollinger
Faculty Publications
A 1 km2 resolution digital elevation model (DEM) of Ireland was constructed and used as the basis for generating digital maps of the climate parameters required to run a model of ecosystem carbon and water cycling. The DEM had mean absolute errors of 30 m or less for most of Ireland. The ecosystem model requires inputs of monthly precipitation, monthly averaged maximum and minimum daily temperature, and monthly averaged daily solar radiation. Long-term (1951 to 1980) averaged monthly data were obtained from sites measuring precipitation (618 sites), temperature (62 sites), and the number of hours of bright sunshine per day …