Dennis C. Flanagan

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Washington State University, Department of Biological Systems Engineering, P.O. Box 646120, Pullman, WA 99164, USA US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Moscow, ID 83843, USA US Department of Agriculture, Agricultural Research Service (USDA-ARS), National Soil Erosion Research Laboratory, West Lafayette, IN 47907,(More)
Practical decision-making in spatially distributed natural resource management is increasingly based on process models linked to Geographical Information Systems (GIS). Geo-spatial environmental data and decision support tools can now be made available to a much larger audience by using powerful personal computers and internet-accessible mapping tools.(More)
Soil erosion, associated with environmental impacts and crop productivity loss, is usually considered the most impacting of surface hydrology processes. Runoff plays a major role in the erosion process, but it is also important by itself as it directly influences several surface hydrologic processes. In this paper, a computer interface (Erosion Database(More)
Use of anionic polyacrylamide (PAM) to control phosphorus (P) losses from a Chinese purple soil was studied in both a laboratory soil column experiment and a field plot experiment on a steep slope (27%). Treatments in the column study were a control, and PAM mixed uniformly into the soil at rates of 0.02, 0.05, 0.08, 0.10, and 0.20%. We found that PAM had(More)
Soil loss rates on rangelands are considered one of the few quantitative indicators for assessing rangeland health and conservation practice effectiveness. An erosion model to predict soil loss specific for rangeland applications is needed because existing erosion models were developed from croplands where the hydrologic and erosion processes are different,(More)
The Annualized Agricultural Nonpoint Source (AnnAGNPS) pollution model was developed for simulation of runoff, sediment, nutrient, and pesticide losses from ungauged agricultural watersheds. This article describes the first documented calibration and validation of AnnAGNPS for prediction of atrazine loading. Here, the model was applied to the 707 km2 Cedar(More)
Climate is one of the single most important factors affecting watershed ecosystems and water resources. The effect of climate variability and change has been studied extensively in some places; in many places, however, assessments are hampered by limited availability of long-term continuous climate data. Weather generators provide a means of synthesizing(More)
[1] Soil erosion models are usually limited in their application to the field scale; however, the management of land resources requires information at the regional scale. Large‐scale physically based land surface schemes (LSS) provide estimates of regional scale hydrologic processes that contribute to erosion. If scaling issues are adequately addressed,(More)
The Water Erosion Prediction Project (WEPP) model is a process-based, continuous-simulation, watershed hydrology and erosion model. It is an important tool for water erosion simulation owing to its unique functionality in representing diverse landuse and management conditions. Its applicability is limited to relatively small watersheds since its current(More)