Item talk:Q47209
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orcid:
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usgs_staff_profile:
meta: 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."
