References

Anderson, M. P., Hunt, R. J., Krohelski, J. T. and Chung, K. (2002), Using High Hydraulic Conductivity Nodes to Simulate Seepage Lakes. Groundwater, 40: 117-122. doi:10.1111/j.1745-6584.2002.tb02496.x

Anderson, M. P., W. W. Woessner, and R. J. Hunt 2015. Applied Groundwater Modeling 620 (Second Edition). San Diego: Academic Press.

Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J. and Fienen, M. N., 2016, Scripting MODFLOW Model Development Using Python and FloPy: Groundwater, v. 54, p. 733–739, doi:10.1111/gwat.12413.

Clark, B.R., Barlow, P.M., Peterson, S.M., Hughes, J.D., Reeves, H.W., and Viger, R.J., 2018, National-scale grid to support regional groundwater availability studies and a national hydrogeologic database: U.S. Geological Survey data release, https://doi.org/10.5066/F7P84B24.

Feinstein, D.T., Fienen, M.N., Reeves, H.W., and Langevin, C.D., 2016, A semi-structured MODFLOW-USG model to evaluate local water sources to wells for decision support: Groundwater, v. 54, no. 4, p. 532–544, accessed June 27, 2017, at https://doi.org/10.1111/gwat.12389.

Fienen, M.N., Haserodt, M.J., Leaf, A.T., Westenbroek, S.M., 2021a, Appendix C: Central sands lakes study technical report: Modeling documentation, Central Sands Lake Study, Wisconsin Department of Natural Resources, 10.5281/zenodo.5708719

Haitjema, H.M. (1995). Analytic Element Modeling of Groundwater Flow. Academic Press, Inc.

Hunt, R.J. and Zheng, C. (2012), The Current State of Modeling. Groundwater, 50: 330-333. doi:10.1111/j.1745-6584.2012.00936.x

Langevin, C.D., Hughes, J.D., Banta, E.R., Niswonger, R.G., Panday, Sorab, and Provost, A.M., 2017, Documentation for the MODFLOW 6 Groundwater Flow Model: U.S. Geological Survey Techniques and Methods, book 6, chap. A55, 197 p., https://doi.org/10.3133/tm6A55.

Leaf AT and Fienen MN (2022) Modflow-setup: Robust automation of groundwater model construction. Front. Earth Sci. 10:903965. https://doi.org/10.3389/feart.2022.903965

Mehl, S., Hill, M. C., and Leake, S. A. (2006). Comparison of local grid refinement methods for MODFLOW. Ground Water 44, 792–796. doi:10.1111/j.1745-6584.2006.00192.x

Niswonger, R.G., Panday, S., and Ibaraki, M., 2011, MODFLOW–NWT—A Newton formulation for MODFLOW–2005: U.S. Geological Survey Techniques and Methods, book 6, chap. A37, 44 p. https://doi.org/10.3133/tm6A45

Westenbroek, S.M., Engott, J.A., Kelson, V.A., and Hunt, R.J., 2018, SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components: U.S. Geological Survey Techniques and Methods, book 6, chap. A59, 118 p., https://doi.org/10.3133/tm6A59.

Wisconsin Department of Natural Resources (WDNR), 2021. Central Sands Lake Study Report: Findings and Recommendations. Report to the Wisconsin State Legislature. https://doi.org/10.5281/zenodo.5708791

Modflow-setup applications

Fienen, M.N., Corson-Dosch, N.T., White, J.T., Leaf, A.T. and Hunt, R.J. (2022), Risk-Based Wellhead Protection Decision Support: A Repeatable Workflow Approach. Groundwater, 60: 71-86. https://doi.org/10.1111/gwat.13129

Fienen, M.N., Haserodt, M.J., Leaf, A.T., and Westenbroek, S.M., 2022, Simulation of regional groundwater flow and groundwater/lake interactions in the Central Sands, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2022–5046, 111 p., https://doi.org/10.3133/sir20225046.

Leaf, A.T., Duncan, L.L., Haugh, C.J., Hunt, R.J., and Rigby, J.R., 2023, Simulating groundwater flow in the Mississippi Alluvial Plain with a focus on the Mississippi Delta: U.S. Geological Survey Scientific Investigations Report 2023–5100, 143 p., https://doi.org/10.3133/sir20235100.

Workflow examples

Fienen, M.N, and Corson-Dosch, N.T., 2021, Groundwater Model Archive and Workflow for Neversink/Rondout Basin, New York, Source Water Delineation: U.S. Geological Survey data release, https://doi.org/10.5066/P9HWSOHP.

Leaf, A.T., Duncan, L.L., and Haugh, C.J., 2023, MODFLOW 6 models for simulating groundwater flow in the Mississippi Embayment with a focus on the Mississippi Delta: U.S. Geological Survey data release, https://doi.org/10.5066/P971LPOB.