Item talk:Q47209

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     name: Machine-learning predictions of groundwater specific conductance in the
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   name: Mississippi State University
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   name: California University of Pennsylvania
 familyName: Killian
 givenName: Courtney
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 updated_date: '2024-05-12T09:29:42.255305'

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation:
 - '@type': Organization
   name: "Geological Society of America, 2012 \u2013 Present"
 award:
 - U.S. Department of the Interior Star Award, 2018
 description:
 - '@type': TextObject
   abstract: Hydrologist with the Pennsylvania Water Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Courtney is a hydrologist with the Pennsylvania Water Science Center
     in the Bridgeville, Pennsylvania office where she investigates groundwater and
     water quality.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: "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."
   additionalType: personal statement
 - '@type': TextObject
   abstract: '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.'
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page abstract
 email: ckillian@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: Mississippi State University, 2016-18, Doctor of Philosophy, Earth and Atmospheric
     Science
 - '@type': EducationalOccupationalCredential
   name: Mississippi State University, 2013-15, Master of Science, Geoscience
 - '@type': EducationalOccupationalCredential
   name: California University of Pennsylvania, 2009-2013, Bachelor of Science, Geology
 - '@type': EducationalOccupationalCredential
   name: "Registered Professional Geologist no. 998, State of Mississippi, 2020 \u2013\
     \ Present"
 - '@type': EducationalOccupationalCredential
   name: Geospatial and Remote Sensing Technologies Certification, Mississippi State
     University, 2015
 hasOccupation:
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   affiliatedOrganization:
     '@type': Organization
     name: Pennsylvania Water Science Center
     url: https://www.usgs.gov/centers/pennsylvania-water-science-center
   roleName: Hydrologist
   startDate: '2024-05-10T20:46:14.211864'
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 jobTitle: Hydrologist
 knowsAbout: []
 memberOf:
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   member:
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     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-10T20:46:14.208434'
 name: Courtney Killian
 url: https://www.usgs.gov/staff-profiles/courtney-killian