Mary C. Hill

College of Liberal Arts and Sciences - Geology
Professor
Primary office:
785-864-2728
Lindley Hall
Room 120D
University of Kansas
1475 Jayhawk Blvd
Lawrence, KS 66045


Dr. Hill's research focus is hydrogeology; computer simulation of natural systems; inverse modeling, uncertainty, and risk associated with environmental systems; and how science and public policy inform one another. She is working with the KU interdisciplinary Energy and Water Initiatives.

Education

Ph.D., Civil Engineering-Water Resources, Princeton University

MSE, Civil Engineering - Water Resources, Princeton University

Master's Candidate, Civil Engineering-Water Resources, Michigan State University

B.A., Geology and Business Administration (double major), Hope College

Research Interests

  • Uncertainty analysis
  • Numerical modeling
  • Risk
  • Sensitivity analysis
  • Hydrogeology

Selected Publications

Belcher, W. R., Sweetkind, D. S., Faunt, C. C., Pavelko, M. T., & Hill, M. C. (2017). An update of the Death Valley regional groundwater flow system transient model, Nevada and California (U.S. Geological Survey Scientific Investigations Report 2016-5150, 74 p. https://doi.org/10.3133/sir20165150).

LaVigna, F. Hill, M. C., & Rossetto, R. (2016). Groundwater modelling of the surface-mined Tivoli-Guidonia basin (Rome) and lessons for model development design.

Hill, M. C., Kavetski, D. Clark, M. Ye, M. Arabi, M. Lu, D. Foglia, L. & Mehl, S. (2015). Practical use of computationally frugal model analysis methods. Groundwater.

Lu, D. Ye, M. Hill, M. C., Poeter, E. P., & Curtis, G. P. (2014). A computer program for uncertainty analysis integrating regression and Bayesian methods. Environmental Modelling & Software, 60, 45–56.

Sheets, R. A., Hill, M. C., Haitjema, H. M., Provost, A. & Masterson, J. P. (2014). Simulation of water-table aquifers using specified saturated thickness. Ground Water. DOI:10.1111/gwat.12164

Poeter, E. P., Hill, M. C., Lu, D. Tiedeman, C. R., & Mehl, S. (2014). UCODE_2014, with new capabilities to define parameters unique to predictions, calculate weights using simulated values, estimate parameters with SVD, evaluate uncertainty with MCMC, and more (Integrated Groundwater Modeling Center Report Number GWMI 2014-02).

Laniak, G. F., Olchin, G. Goodall, J. Voinov, A. Hill, M. C., Glynn, P. Whelan, G. & Hughes, A. (2013). Integrated environmental modeling: A vision and roadmap for the future. Environmental Modelling and Software, 39, 3-23. DOI:10.1016/j.envsoft.2012.09.006

Selected Awards & Honors

Fellow
American Geophysical Union
2016

Lifetime Achievement Award
National Science Foundation (NSF) Community Surface Dynamic Modeling System (CSDMS)
2016

International Hydrology Prize Dooge Medal
International Association of Hydrological Sciences (IAHS), UNESCO, and the World Meteorological Organization (WMO)
2015

Promotion to ST, highest level for US government scientists
USGS
2007

M. King Hubbert Award
National Ground Water Association
2005

Meritorious Service Award
USGS
2004

Fellow
GSA (Geological Society of America)
2003

Distinguished Darcy lecturer
National Groundwater Associations.
2001

Walter L. Huber Engineering Research Prize
American Society of Civil Engineers
2000

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