MODFLOW-NWT and MODPATH groundwater flow models of the Farmington River Watershed (Connecticut and Massachusetts)
Dates
Release Date
2020-01-01
Start Date
2000-01-01
End Date
2013-12-31
Publication Date
2023-09-15
Citation
Barclay, J.R., Starn, J.Jeff, Briggs, M.A., and Helton, A.M., 2020, MODFLOW-NWT and MODPATH groundwater flow models of the Farmington River Watershed (Connecticut and Massachusetts): U.S. Geological Survey data release, https://doi.org/10.5066/P960RSKM.
Summary
Groundwater flow models have the potential to predict spatial groundwater discharge dynamics within river networks, but models are often not evaluated against discharge dynamics. The objective of this study was to understand the variation in simulated discharge dynamics (discharge location, flowpath depth, and subsurface travel time) for models with common, but varying frameworks and assumptions. The University of Connecticut in collaboration with the United States Geological Survey developed a groundwater flow model (MODFLOW-NWT) for the Farmington River Watershed (1,570 km2) in the northeastern United States and systematically varied the type of typical calibration data (well head and stream elevation); calibration parameters; parameters [...]
Summary
Groundwater flow models have the potential to predict spatial groundwater discharge dynamics within river networks, but models are often not evaluated against discharge dynamics. The objective of this study was to understand the variation in simulated discharge dynamics (discharge location, flowpath depth, and subsurface travel time) for models with common, but varying frameworks and assumptions. The University of Connecticut in collaboration with the United States Geological Survey developed a groundwater flow model (MODFLOW-NWT) for the Farmington River Watershed (1,570 km2) in the northeastern United States and systematically varied the type of typical calibration data (well head and stream elevation); calibration parameters; parameters related to permeability of the surficial materials, bedrock, and riverbed sediments; control of river-aquifer exchange directionality; and model resolution. Each model variation has an associated particle tracking (MODPATH) model. Subsequent work, not described in this model archive, compared with simulated spatial patterns of groundwater discharge with patterns observed with hand-held thermal infrared imagery. This dataset contains model inputs and outputs, post-processing python scripts, and pest calibration input files for 12 model variations described in the associated journal article (https://doi.org/10.1029/2020WR028027)
These models were used to quantify discharge dynamics across a suite of models with commonly used frameworks and calibration data. Groundwater discharge zones connect aquifers to surface water, generating baseflow and serving as ecosystem control points across aquatic ecosystems. The influence of discharge on surface flow connectivity, fate and transport of contaminants and nutrients, and thermal habitat depends strongly on physical dynamics such as the spatial distribution, age, and depth of flowpaths that source discharge zones throughout river networks. The development of the model input and output files for the MODFLOW-NWT and MODPATH models in this data release are documented in the associcated jounral article (https://doi.org/10.1029/2020WR028027).
Preview Image
Image of the model domain and active area of the model.