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Person

Dale M Robertson

Research Hydrologist (Biogeochemistry)

Upper Midwest Water Science Center

Email: dzrobert@usgs.gov
Office Phone: 608-821-3867
Fax: 608-821-3817
ORCID: 0000-0001-6799-0596

Supervisor: Amanda H Bell
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Interannual differences in the water quality of Anvil Lake, WI, were examined to determine how water level and climate affect the hydrodynamics and trophic state of shallow lakes, and their importance compared to anthropogenic changes in the watershed. To determine how changes in water level may affect these processes, the General Lake Model (GLM) was used to simulate how the lake’s thermal structure should change in response to changes in water level using R. This dataset includes the data inputs to the GLM model and the direct outputs from the model. Model Calibration (GLM_CalibrationZ); Simulation of with Deep Lake and Cold Weather (GLM_Deep_Cold_SimulationZ); Simulation of with Deep Lake and Hot Weather (GLM_Deep_Hot_SimulationZ);...
This mapper displays SPARROW nutrient load and yield data and the importance of various nutrient sources for the MRB3 (U.S. part of the Great Lakes basin and the Ohio, Upper Mississippi, and Red River basins), given nutrient inputs similar to 2002. Rankings can be shown by major watershed, state, HUC8, tributary, and catchment. Nutrient data can be explored using maps and interactive graphs and tables. Modeling data can be exported as an Excel spreadsheet.
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Description of Work USGS is creating forecasting tools for managers to determine how water withdrawals or other hydrologic or land use changes in watersheds may affect Great Lakes ecosystems. This project is determining fish distributions in Great Lakes tributaries and how changes in stream flow may affect them. This information will help guide restoration efforts to achieve maximum effectiveness and success. Estimates were produced using WATER - a TOPMODEL based tool that estimates streamflow at any point along the stream network. The pour point is selected using a point-and-click GUI that samples information about the basin using a geodatabase of topographic and soil data spatial layers.
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The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate nutrient loads in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load...
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