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usgs_staff_profile:

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   url: https://www.usgs.gov/staff-profiles/courtney-killian
   timestamp: '2024-01-30T16:14:54.514777'
   status_code: 200
 profile:
   name: Courtney Killian
   name_qualifier: null
   titles:
   - Hydrologist
   organizations:
   - !!python/tuple
     - Pennsylvania Water Science Center
     - https://www.usgs.gov/centers/pennsylvania-water-science-center
   email: ckillian@usgs.gov
   orcid: 0000-0002-2137-2722
   intro_statements:
   - Courtney is a hydrologist with the Pennsylvania Water Science Center in the
     Bridgeville, Pennsylvania office where she investigates groundwater and water
     quality.
   expertise_terms: []
   professional_experience: []
   education:
   - Mississippi State University, 2016-18, Doctor of Philosophy, Earth and Atmospheric
     Science
   - Mississippi State University, 2013-15, Master of Science, Geoscience
   - California University of Pennsylvania, 2009-2013, Bachelor of Science, Geology
   - "Registered Professional Geologist no. 998, State of Mississippi, 2020 \u2013\
     \ Present"
   - Geospatial and Remote Sensing Technologies Certification, Mississippi State
     University, 2015
   affiliations:
   - "Geological Society of America, 2012 \u2013 Present"
   honors:
   - U.S. Department of the Interior Star Award, 2018
   abstracts:
   - 'Killian, C., and Knierim, K.J., 2021, Incorporating airborne electromagnetic
     survey data into machine-learning models to predict groundwater salinity in
     the Mississippi River Valley Alluvial aquifer: Geological Society of America
     Abstracts with Programs, v. 53, no. 6, https://doi.org/10.1130/abs/2021AM-364652.'
   - Asquith, W., and Killian, C. (presenter), 2021, Covariate builder and machine
     learning modeling software to predict groundwater levels for the Mississippi
     River Valley alluvial aquifer, Geological Society of America Abstracts with
     Programs, v. 53, no. 6, https://doi.org/10.1130/abs/2021AM-365803.
   - Killian, C., and Knierim, K.J., 2020, Using machine-learning predictions of
     groundwater salinity to assess water availability in the Mississippi River Valley
     alluvial aquifer, Geological Society of America Abstracts with Programs.
   - Killian, C., Bussell, A., Knierim, K.J., Wacaster, S., and Gratzer, M., 2020,
     Groundwater quality and age to address water availability in the Mississippi
     River Valley Alluvial Aquifer, Technical Presentation, Mississippi Water Resources
     Conference, Jackson, MS.
   - Killian, C., Bussell, A., Knierim, K.J., Kingsbury, J., Wacaster, S., Kress,
     W.H., 2019, Mapping the Variability of Specific Conductance in Groundwater of
     the Mississippi River Valley Alluvial Aquifer, Technical Presentation, Mississippi
     Water Resources Conference, Jackson, MS.
   - Killian, C., Adams, R.F., Rigby, J.R., Leaf, A. Barlow, J.R.B., Kress, W.H.,
     Schmitz, D.W., 2018, Evaluation of Methods for Relating Continuous Streambed
     Resistivity Data and Hydraulic Conductivity in the Mississippi Delta, Technical
     Presentation, Mississippi Water Resources Conference, Jackson, MS.
   - Killian, C., Barlow, J.R.B., Barlow, P., Kress, W.H., Schmitz, D.W., 2018, Groundwater
     and Surface-Water Interaction Characterization of the Mississippi Delta Using
     Hydrograph- Separation Techniques and Trend Analyses, Technical Presentation,
     82nd Annual Meeting, Mississippi Academy of Sciences, Hattiesburg, MS.
   - Killian, C., Barlow, J.R.B., Barlow, P., Kress, W.H., Schmitz, D.W., 2017, Characterizing
     Groundwater and Surface-Water Interaction in the Mississippi Delta Using Hydrograph
     Separation, Technical Presentation, National Ground Water Association, Nashville,
     TN.
   - Killian, C., Barlow, J.R.B., Barlow, P., Kress, W.H., Schmitz, D.W., 2017, Characterizing
     groundwater and surface-water interaction throughout the Mississippi Delta using
     hydrograph-separation techniques combined with near-stream geophysical and groundwater-level
     data, Technical Presentation, Mississippi Water Resources Conference, Jackson,
     MS.
   personal_statement: "Courtney\u2019s current work includes quantifying available\
     \ groundwater resources with the use of machine-learning techniques to map groundwater\
     \ quality across an aquifer in three dimensions. This work helps to identify\
     \ areas where poor water quality may limit the use of fresh water for agricultural,\
     \ industrial, and drinking water uses.Courtney also applies machine-learning\
     \ techniques to predict groundwater levels through time at ungaged locations\
     \ across an aquifer. Courtney's research has included groundwater and surface-water\
     \ interaction studies, low-flow groundwater quality sampling for age tracers,\
     \ isokinetic depth-integrated surface-water sampling, and nuclear magnetic resonance\
     \ borehole and surface imaging. She enjoys using R and Python programming in\
     \ conjunction with GIS to help answer regional water availability questions."