David E. Prudic
United States Geological Survey
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Featured researches published by David E. Prudic.
Water Resources Research | 1998
Anne Dudek Ronan; David E. Prudic; Carl E. Thodal; Jim Constantz
Two experiments were performed to investigate flow beneath an ephemeral stream and to estimate streambed infiltration rates. Discharge and stream-area measurements were used to determine infiltration rates. Stream and subsurface temperatures were used to interpret subsurface flow through variably saturated sediments beneath the stream. Spatial variations in subsurface temperatures suggest that flow beneath the streambed is dependent on the orientation of the stream in the canyon and the layering of the sediments. Streamflow and infiltration rates vary diurnally: Streamflow is lowest in late afternoon when stream temperature is greatest and highest in early morning when stream temperature is least. The lower afternoon Streamflow is attributed to increased infiltration rates; evapotranspiration is insufficient to account for the decreased Streamflow. The increased infiltration rates are attributed to viscosity effects on hydraulic conductivity from increased stream temperatures. The first set of field data was used to calibrate a two-dimensional variably saturated flow model that includes heat transport. The model was calibrated to (1) temperature fluctuations in the subsurface and (2) infiltration rates determined from measured Streamflow losses. The second set of field data was to evaluate the ability to predict infiltration rates on the basis of temperature measurements alone. Results indicate that the variably saturated subsurface flow depends on downcanyon layering of the sediments. They also support the field observations in indicating that diurnal changes in infiltration can be explained by temperature dependence of hydraulic conductivity. Over the range of temperatures and flows monitored, diurnal stream temperature changes can be used to estimate streambed infiltration rates. It is often impractical to maintain equipment for determining infiltration rates by traditional means; however, once a model is calibrated using both infiltration and temperature data, only relatively inexpensive temperature monitoring can later yield infiltration rates that are within the correct order of magnitude.
Ground Water | 2008
Randall J. Hunt; David E. Prudic; John F. Walker; Mary P. Anderson
Transient recharge to the water table is often not well understood or quantified. Two approaches for simulating transient recharge in a ground water flow model were investigated using the Trout Lake watershed in north-central Wisconsin: (1) a traditional approach of adding recharge directly to the water table and (2) routing the same volume of water through an unsaturated zone column to the water table. Areas with thin (less than 1 m) unsaturated zones showed little difference in timing of recharge between the two approaches; when water was routed through the unsaturated zone, however, less recharge was delivered to the water table and more discharge occurred to the surface because recharge direction and magnitude changed when the water table rose to the land surface. Areas with a thick (15 to 26 m) unsaturated zone were characterized by multimonth lags between infiltration and recharge, and, in some cases, wetting fronts from precipitation events during the fall overtook and mixed with infiltration from the previous spring snowmelt. Thus, in thicker unsaturated zones, the volume of water infiltrated was properly simulated using the traditional approach, but the timing was different from simulations that included unsaturated zone flow. Routing of rejected recharge and ground water discharge at land surface to surface water features also provided a better simulation of the observed flow regime in a stream at the basin outlet. These results demonstrate that consideration of flow through the unsaturated zone may be important when simulating transient ground water flow in humid climates with shallow water tables.
Scientific Investigations Report | 2005
David E. Prudic; Jena M. Green; James L. Wood; Katherine K. Henkelman
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Global Change Biology | 2005
Bridget R. Scanlon; Robert C. Reedy; David A. Stonestrom; David E. Prudic; Kevin F. Dennehy
Techniques and Methods | 2008
Steven L. Markstrom; Richard G. Niswonger; R. Steven Regan; David E. Prudic; Paul M. Barlow
Techniques and Methods | 2006
Richard G. Niswonger; David E. Prudic; R. Steven Regan
Techniques and Methods | 2005
Richard G. Niswonger; David E. Prudic
Water Resources Research | 2005
Richard G. Niswonger; David E. Prudic; Greg Pohll; Jim Constantz
Open-File Report | 2004
David E. Prudic; Leonard F. Konikow; Edward R. Banta
Water-Resources Investigations Report | 1994
David E. Prudic