Paul F Juckem
Paul Juckem is a Hydrologist with the Upper Midwest Water Science Center.
His expertise in groundwater flow and transport modeling is used in studies of regional water availability, groundwater/surface-water interaction, and water quality characterization and prediction for lakes, streams, and aquifers. Current work involves: leading the development of tools to inform resource managers about the sources, timing, and fate (forecasts) of nutrients in aquifers, wells, and waterbodies; investigating factors that influence groundwater age distributions and travel times within aquifers; assessing the role of groundwater/surface-water interactions along flood plains in attenuating peak flows; mapping the probability of contaminant plume extents in aquifers using Analytic Element groundwater flow models and Monte Carlo techniques; and evaluating effects of water level fluctuations and water quality in shallow lakes.
CURRENT RESEARCH
- Nutrient and contaminant movement in groundwater systems
- Nutrient loading to lake and river systems
- Development of hydrologic Decision Support tools
- Simplification methods for hydrologic modeling (emulators, machine learning, analytic solutions)
- Uncertainty analysis and forecasting
- Groundwater flow and transport simulation
- Water availability and source water protection
- Groundwater/surface-water interaction (flow and chemistry)
Education and Certifications
M.S. in Geology - University of Wisconsin-Madison. Thesis: 'Spatial Patterns and Temporal Trends in Groundwater Recharge in the Upper Coon Creek Watershed, Southwest Wisconsin,' 2003.
B.S. in Water Resources Management (groundwater emphasis), Geology minor – University of Wisconsin-Stevens Point, 1999.
Affiliations and Memberships*
Association of Ground Water Scientists and Engineers (2000 - present)
Wisconsin State Section (1996 - present); Treasurer (2004 - 2008)
American Geophysical Union (1999 - present)
American Water Resources Association (1997 - 2006)
Science and Products
Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin
A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). Running and using the GW-NDST software involves downloading the...
MODPATH6 models used to evaluate effects of complexity on groundwater age metrics in the Fox-Wolf-Peshtigo watersheds, Wisconsin MODPATH6 models used to evaluate effects of complexity on groundwater age metrics in the Fox-Wolf-Peshtigo watersheds, Wisconsin
This data release contains five groundwater particle-tracking models (MODPATH6) of northeastern Wisconsin, USA, that were developed to work with three MODFLOW models that have differing levels of complexity. The previously developed MODFLOW models (https://doi.org/10.3133/sir20175010 and https://doi.org/10.5066/F73J3B3P) were modified slightly to ensure proper functioning with MODPATH6
GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin
This data release contains files for three scenarios of an analytic element (GFLOW) groundwater flow model with particle-tracking that were developed in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service to map the probablistic plume extent for a proposed waste-water infiltration lagoon, along with maps to delineate the area contributing...
MODFLOW-NWT model data sets for simulating effects of groundwater withdrawals on streamflows in Northwestern Chippewa County, Wisconsin MODFLOW-NWT model data sets for simulating effects of groundwater withdrawals on streamflows in Northwestern Chippewa County, Wisconsin
A new groundwater flow model for western Chippewa County, Wisconsin has been developed by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS). An analytic element GFLOW model was constructed and calibrated to generate hydraulic boundary conditions for the perimeter of the more detailed three-dimensional MODFLOW-NWT model. This three...
Filter Total Items: 33
Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit
No abstract available.
Authors
Ken Bradbury, Stephen Mauel, Peter R. Schoephoester, Anna Fehling, Andrew T. Leaf, Paul Juckem, Randall Hunt, Aaron Pruitt
Extraction and development of inset models in support of groundwater age calculations for glacial aquifers Extraction and development of inset models in support of groundwater age calculations for glacial aquifers
The U.S. Geological Survey developed a regional model of Lake Michigan Basin (LMB). This report describes the construction of five MODFLOW inset models extracted from the LMB regional model and their application using the particle-tracking code MODPATH to simulate the groundwater age distribution of discharge to wells pumping from glacial deposits. The five study areas of the inset model
Authors
Daniel T. Feinstein, Leon J. Kauffman, Megan J. Haserodt, Brian R. Clark, Paul F. Juckem
Metamodeling and mapping of nitrate flux in the unsaturated zone and groundwater, Wisconsin, USA Metamodeling and mapping of nitrate flux in the unsaturated zone and groundwater, Wisconsin, USA
Nitrate contamination of groundwater in agricultural areas poses a major challenge to the sustainability of water resources. Aquifer vulnerability models are useful tools that can help resource managers identify areas of concern, but quantifying nitrogen (N) inputs in such models is challenging, especially at large spatial scales. We sought to improve regional nitrate (NO3−) input...
Authors
Bernard T. Nolan, Christopher T. Green, Paul F. Juckem, Lixia Liao, James E. Reddy
Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA
Process-based modeling of regional NO3− fluxes to groundwater is critical for understanding and managing water quality, but the complexity of NO3− reactive transport processes make implementation a challenge. This study introduces a regional vertical flux method (VFM) for efficient estimation of reactive transport of NO3− in the vadose zone and groundwater. The regional VFM was applied...
Authors
Christopher T. Green, Lixia Liao, Bernard T. Nolan, Paul F. Juckem, Christopher L. Shope, Anthony J. Tesoriero, Bryant C. Jurgens
Effects of water level and climate on the hydrodynamics and water quality of Anvil Lake, Wisconsin, a shallow seepage lake Effects of water level and climate on the hydrodynamics and water quality of Anvil Lake, Wisconsin, a shallow seepage lake
Interannual differences in the water quality of Anvil Lake, Wisconsin, 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. Anvil Lake is a relatively pristine seepage lake with hydrology dominated by precipitation, evaporation, and groundwater exchange...
Authors
Dale M. Robertson, Paul F. Juckem, Eric D. Dantoin, Luke A. Winslow
Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification
Machine learning techniques were applied to a large (n > 10,000) compliance monitoring database to predict the occurrence of several redox-active constituents in groundwater across a large watershed. Specifically, random forest classification was used to determine the probabilities of detecting elevated concentrations of nitrate, iron, and arsenic in the Fox, Wolf, Peshtigo, and...
Authors
Anthony J. Tesoriero, Jo Ann M. Gronberg, Paul F. Juckem, Matthew P. Miller, Brian P. Austin
Science and Products
Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin
A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). Running and using the GW-NDST software involves downloading the...
MODPATH6 models used to evaluate effects of complexity on groundwater age metrics in the Fox-Wolf-Peshtigo watersheds, Wisconsin MODPATH6 models used to evaluate effects of complexity on groundwater age metrics in the Fox-Wolf-Peshtigo watersheds, Wisconsin
This data release contains five groundwater particle-tracking models (MODPATH6) of northeastern Wisconsin, USA, that were developed to work with three MODFLOW models that have differing levels of complexity. The previously developed MODFLOW models (https://doi.org/10.3133/sir20175010 and https://doi.org/10.5066/F73J3B3P) were modified slightly to ensure proper functioning with MODPATH6
GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin
This data release contains files for three scenarios of an analytic element (GFLOW) groundwater flow model with particle-tracking that were developed in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service to map the probablistic plume extent for a proposed waste-water infiltration lagoon, along with maps to delineate the area contributing...
MODFLOW-NWT model data sets for simulating effects of groundwater withdrawals on streamflows in Northwestern Chippewa County, Wisconsin MODFLOW-NWT model data sets for simulating effects of groundwater withdrawals on streamflows in Northwestern Chippewa County, Wisconsin
A new groundwater flow model for western Chippewa County, Wisconsin has been developed by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS). An analytic element GFLOW model was constructed and calibrated to generate hydraulic boundary conditions for the perimeter of the more detailed three-dimensional MODFLOW-NWT model. This three...
Filter Total Items: 33
Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit
No abstract available.
Authors
Ken Bradbury, Stephen Mauel, Peter R. Schoephoester, Anna Fehling, Andrew T. Leaf, Paul Juckem, Randall Hunt, Aaron Pruitt
Extraction and development of inset models in support of groundwater age calculations for glacial aquifers Extraction and development of inset models in support of groundwater age calculations for glacial aquifers
The U.S. Geological Survey developed a regional model of Lake Michigan Basin (LMB). This report describes the construction of five MODFLOW inset models extracted from the LMB regional model and their application using the particle-tracking code MODPATH to simulate the groundwater age distribution of discharge to wells pumping from glacial deposits. The five study areas of the inset model
Authors
Daniel T. Feinstein, Leon J. Kauffman, Megan J. Haserodt, Brian R. Clark, Paul F. Juckem
Metamodeling and mapping of nitrate flux in the unsaturated zone and groundwater, Wisconsin, USA Metamodeling and mapping of nitrate flux in the unsaturated zone and groundwater, Wisconsin, USA
Nitrate contamination of groundwater in agricultural areas poses a major challenge to the sustainability of water resources. Aquifer vulnerability models are useful tools that can help resource managers identify areas of concern, but quantifying nitrogen (N) inputs in such models is challenging, especially at large spatial scales. We sought to improve regional nitrate (NO3−) input...
Authors
Bernard T. Nolan, Christopher T. Green, Paul F. Juckem, Lixia Liao, James E. Reddy
Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA
Process-based modeling of regional NO3− fluxes to groundwater is critical for understanding and managing water quality, but the complexity of NO3− reactive transport processes make implementation a challenge. This study introduces a regional vertical flux method (VFM) for efficient estimation of reactive transport of NO3− in the vadose zone and groundwater. The regional VFM was applied...
Authors
Christopher T. Green, Lixia Liao, Bernard T. Nolan, Paul F. Juckem, Christopher L. Shope, Anthony J. Tesoriero, Bryant C. Jurgens
Effects of water level and climate on the hydrodynamics and water quality of Anvil Lake, Wisconsin, a shallow seepage lake Effects of water level and climate on the hydrodynamics and water quality of Anvil Lake, Wisconsin, a shallow seepage lake
Interannual differences in the water quality of Anvil Lake, Wisconsin, 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. Anvil Lake is a relatively pristine seepage lake with hydrology dominated by precipitation, evaporation, and groundwater exchange...
Authors
Dale M. Robertson, Paul F. Juckem, Eric D. Dantoin, Luke A. Winslow
Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification
Machine learning techniques were applied to a large (n > 10,000) compliance monitoring database to predict the occurrence of several redox-active constituents in groundwater across a large watershed. Specifically, random forest classification was used to determine the probabilities of detecting elevated concentrations of nitrate, iron, and arsenic in the Fox, Wolf, Peshtigo, and...
Authors
Anthony J. Tesoriero, Jo Ann M. Gronberg, Paul F. Juckem, Matthew P. Miller, Brian P. Austin
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government