Item talk:Q49493: Difference between revisions

From geokb
No edit summary
No edit summary
(One intermediate revision by the same user not shown)
Line 1: Line 1:
ORCID:
{
   '@context': http://schema.org
   "USGS Staff Profile": {
  '@id': https://orcid.org/0000-0002-1818-355X
    "_id": "https://www.usgs.gov/staff-profiles/paul-stackelberg",
  '@reverse':
     "item": "https://geokb.wikibase.cloud/entity/Q49493",
     creator:
    "last_update": "2024-05-12T00:00:00Z",
    - '@id': https://doi.org/10.1016/j.envsoft.2021.105006
    "previous_address": null,
      '@type': CreativeWork
    "qid": "Q49493",
      identifier:
    "retrieved": "2024-05-12T00:00:00Z",
        '@type': PropertyValue
    "schema": {
        propertyID: doi
      "@context": "https://schema.org",
        value: 10.1016/j.envsoft.2021.105006
       "@type": "Person",
       name: Evaluation of six methods for correcting bias in estimates from ensemble
      "affiliation": [],
         tree machine learning regression models
      "description": [
    - '@id': https://doi.org/10.1111/gwat.13063
         {
      '@type': CreativeWork
          "@type": "TextObject",
      identifier:
          "abstract": "Hydrologist with the Water Resources Mission Area",
        '@type': PropertyValue
          "additionalType": "short description"
         propertyID: doi
         },
         value: 10.1111/gwat.13063
         {
      name: Machine Learning Predictions of pH in the Glacial Aquifer System, Northern
          "@type": "TextObject",
         USA
          "abstract": "Paul Stackelberg is a Hydrologist with the Water Resources Mission Area.",
    - '@id': https://doi.org/10.1029/2020wr028207
          "additionalType": "staff profile page introductory statement"
      '@type': CreativeWork
        },
      identifier:
         {
        '@type': PropertyValue
          "@type": "TextObject",
        propertyID: doi
          "abstract": "Paul Stackelberg has worked as a hydrologist with the U.S. Geological Survey (USGS) since 1988. His research interests have included (1) evaluating natural and anthropogenic factors that affect groundwater quality, (2) developing statistical models for predicting the occurrence of contaminants in groundwater resources, and (3) determining the persistence and fate of pharmaceuticals and other wastewater-related compounds in conventional and advanced drinking-water-treatment facilities. Currently Paul is leading a team of USGS scientist who are using machine learning methods to predict groundwater quality conditions in three dimensions throughout select principal aquifers of the United States as well as at the depths commonly used for domestic and public supplies at the National scale.Education:M.S., Geology, University of Missouri - Columbia.B.S., Geology and Mineralology, The Ohio State University, Minor: Computer and Information Science.",
        value: 10.1029/2020wr028207
          "additionalType": "personal statement"
      name: Machine Learning Predicted Redox Conditions in the Glacial Aquifer System,
         }
        Northern Continental United States
      ],
    - '@id': https://doi.org/10.3133/sir20215069
      "email": "pestack@usgs.gov",
      '@type': CreativeWork
      "hasCredential": [],
      identifier:
       "hasOccupation": [
        '@type': PropertyValue
         {
        propertyID: doi
          "@type": "OrganizationalRole",
        value: 10.3133/sir20215069
          "affiliatedOrganization": {
      name: Depth of groundwater used for drinking-water supplies in the United States
            "@type": "Organization",
    - '@id': https://doi.org/10.1021/acs.est.0c00192
            "name": "Water Resources Mission Area",
      '@type': CreativeWork
            "url": "https://www.usgs.gov/mission-areas/water-resources"
      identifier:
          },
         '@type': PropertyValue
          "roleName": "Hydrologist",
        propertyID: doi
          "startDate": "2024-05-12T15:40:53.967491"
        value: 10.1021/acs.est.0c00192
         }
       name: Occurrence and Geochemistry of Lead-210 and Polonium-210 Radionuclides
      ],
         in Public-Drinking-Water Supplies from Principal Aquifers of the United States
       "identifier": [
    - '@id': https://doi.org/10.1016/j.jhydrol.2019.124505
         {
      '@type': CreativeWork
          "@type": "PropertyValue",
      identifier:
          "propertyID": "GeoKB",
        '@type': PropertyValue
          "value": "https://geokb.wikibase.cloud/entity/Q49493"
         propertyID: doi
        },
        value: 10.1016/j.jhydrol.2019.124505
        {
       name: Environmental tracer evidence for connection between shallow and bedrock
          "@type": "PropertyValue",
         aquifers and high intrinsic susceptibility to contamination of the conterminous
          "propertyID": "ORCID",
        U.S. glacial aquifer
          "value": "0000-0002-1818-355X"
    - '@id': https://doi.org/10.1016/j.apgeochem.2017.11.002
         }
      '@type': CreativeWork
      ],
      identifier:
      "jobTitle": "Hydrologist",
        '@type': PropertyValue
       "knowsAbout": [
        propertyID: doi
        {
        value: 10.1016/j.apgeochem.2017.11.002
          "@type": "Thing",
      name: Radium mobility and the age of groundwater in public-drinking-water supplies
          "additionalType": "self-claimed expertise",
         from the Cambrian-Ordovician aquifer system, north-central USA
          "name": "machine learning"
    - '@id': https://doi.org/10.3133/ds1087
         },
       '@type': CreativeWork
         {
      identifier:
          "@type": "Thing",
        '@type': PropertyValue
          "additionalType": "self-claimed expertise",
        propertyID: doi
          "name": "groundwater quality"
        value: 10.3133/ds1087
         }
      name: Groundwater-quality and select quality-control data from the National
      ],
         Water-Quality Assessment Project, January through December 2015, and previously
      "memberOf": {
         unpublished data from 2013 to 2014
        "@type": "OrganizationalRole",
    - '@id': https://doi.org/10.3133/fs20173056
         "member": {
      '@type': CreativeWork
          "@type": "Organization",
      identifier:
          "name": "U.S. Geological Survey"
         '@type': PropertyValue
        },
         propertyID: doi
         "name": "staff member",
        value: 10.3133/fs20173056
        "startDate": "2024-05-12T15:40:53.964906"
      name: Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern
       },
         United States
       "name": "Paul Stackelberg",
    - '@id': https://doi.org/10.3133/fs20173055
      "url": "https://www.usgs.gov/staff-profiles/paul-stackelberg"
       '@type': CreativeWork
    },
       identifier:
     "status_code": "200"
        '@type': PropertyValue
  },
        propertyID: doi
  "ORCID": {
        value: 10.3133/fs20173055
    "@context": "http://schema.org",
      name: Groundwater quality in the glacial aquifer system, United States
    "@id": "https://orcid.org/0000-0002-1818-355X",
     - '@id': https://doi.org/10.3133/ds1063
    "@reverse": {
      '@type': CreativeWork
       "creator": [
       identifier:
         {
         '@type': PropertyValue
          "@id": "https://doi.org/10.1016/j.envsoft.2021.105006",
        propertyID: doi
          "@type": "CreativeWork",
        value: 10.3133/ds1063
          "identifier": {
      name: Groundwater-quality data from the National Water-Quality Assessment Project,
            "@type": "PropertyValue",
        January through December 2014 and select quality-control data from May 2012
            "propertyID": "doi",
        through December 2014
            "value": "10.1016/j.envsoft.2021.105006"
    - '@id': https://doi.org/10.3133/sir20055287
          },
      '@type': CreativeWork
          "name": "Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models"
      identifier:
         },
         '@type': PropertyValue
         {
        propertyID: doi
          "@id": "https://doi.org/10.1111/gwat.13063",
         value: 10.3133/sir20055287
          "@type": "CreativeWork",
      name: Development and application of a regression equation for estimating the
          "identifier": {
        occurrence of atrazine in shallow ground water beneath agricultural areas
            "@type": "PropertyValue",
        of the United States
            "propertyID": "doi",
    - '@id': https://doi.org/10.3133/cir1291
            "value": "10.1111/gwat.13063"
      '@type': CreativeWork
          },
      identifier:
          "name": "Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA"
         '@type': PropertyValue
         },
        propertyID: doi
        {
        value: 10.3133/cir1291
          "@id": "https://doi.org/10.1029/2020wr028207",
      name: "Pesticides in the Nation's Streams and Ground Water, 1992\u20132001"
          "@type": "CreativeWork",
    - '@id': https://doi.org/10.3133/sir20045174
          "identifier": {
      '@type': CreativeWork
            "@type": "PropertyValue",
      identifier:
            "propertyID": "doi",
        '@type': PropertyValue
            "value": "10.1029/2020wr028207"
        propertyID: doi
          },
        value: 10.3133/sir20045174
          "name": "Machine Learning Predicted Redox Conditions in the Glacial Aquifer System, Northern Continental United States"
      name: Application of health-based screening levels to ground-water quality data
        },
         in a state-scale pilot effort
         {
    - '@id': https://doi.org/10.3133/ofr01378
          "@id": "https://doi.org/10.3133/sir20215069",
      '@type': CreativeWork
          "@type": "CreativeWork",
      identifier:
          "identifier": {
        '@type': PropertyValue
            "@type": "PropertyValue",
        propertyID: doi
            "propertyID": "doi",
        value: 10.3133/ofr01378
            "value": "10.3133/sir20215069"
      name: Water quality data for selected wells in the Coastal Plain of New Jersey,
          },
         1996-98
          "name": "Depth of groundwater used for drinking-water supplies in the United States"
    - '@id': https://doi.org/10.3133/cir1201
        },
      '@type': CreativeWork
         {
      identifier:
          "@id": "https://doi.org/10.1021/acs.est.0c00192",
        '@type': PropertyValue
          "@type": "CreativeWork",
        propertyID: doi
          "identifier": {
        value: 10.3133/cir1201
            "@type": "PropertyValue",
      name: "Water quality in the Long Island-New Jersey coastal drainages, New York\
            "propertyID": "doi",
        \ and New Jersey, 1996\u201398"
            "value": "10.1021/acs.est.0c00192"
    - '@id': https://doi.org/10.3133/fs11896
          },
      '@type': CreativeWork
          "name": "Occurrence and Geochemistry of Lead-210 and Polonium-210 Radionuclides in Public-Drinking-Water Supplies from Principal Aquifers of the United States"
      identifier:
        },
        '@type': PropertyValue
        {
        propertyID: doi
          "@id": "https://doi.org/10.1016/j.jhydrol.2019.124505",
        value: 10.3133/fs11896
          "@type": "CreativeWork",
      name: Presence and distribution of chlorinated organic compounds in streambed
          "identifier": {
         sediments, New Jersey
            "@type": "PropertyValue",
    - '@id': https://doi.org/10.3133/fs01294
            "propertyID": "doi",
      '@type': CreativeWork
            "value": "10.1016/j.jhydrol.2019.124505"
      identifier:
          },
        '@type': PropertyValue
          "name": "Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer"
        propertyID: doi
         },
        value: 10.3133/fs01294
        {
      name: National Water-Quality Assessment (NAWQA) Program, Long Island-New Jersey
          "@id": "https://doi.org/10.1016/j.apgeochem.2017.11.002",
         (LINJ) Coastal Drainages Study Unit
          "@type": "CreativeWork",
  '@type': Person
          "identifier": {
  affiliation:
            "@type": "PropertyValue",
    '@id': https://doi.org/10.13039/100000201
            "propertyID": "doi",
    '@type': Organization
            "value": "10.1016/j.apgeochem.2017.11.002"
    alternateName: U.S. Department of the Interior
          },
    name: U.S. Geological Survey
          "name": "Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA"
  familyName: Stackelberg
         },
  givenName: Paul
        {
  mainEntityOfPage: https://orcid.org/0000-0002-1818-355X
          "@id": "https://doi.org/10.3133/ds1087",
USGS Staff Profile:
          "@type": "CreativeWork",
  '@context': https://schema.org
          "identifier": {
  '@type': Person
            "@type": "PropertyValue",
  affiliation: []
            "propertyID": "doi",
  description:
            "value": "10.3133/ds1087"
  - '@type': TextObject
          },
    abstract: Hydrologist with the Water Resources Mission Area
          "name": "Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2015, and previously unpublished data from 2013 to 2014"
    additionalType: short description
        },
  - '@type': TextObject
        {
    abstract: Paul Stackelberg is a Hydrologist with the Water Resources Mission Area.
          "@id": "https://doi.org/10.3133/fs20173056",
    additionalType: staff profile page introductory statement
          "@type": "CreativeWork",
  - '@type': TextObject
          "identifier": {
    abstract: 'Paul Stackelberg has worked as a hydrologist with the U.S. Geological
            "@type": "PropertyValue",
      Survey (USGS) since 1988. His research interests have included (1) evaluating
            "propertyID": "doi",
      natural and anthropogenic factors that affect groundwater quality, (2) developing
            "value": "10.3133/fs20173056"
      statistical models for predicting the occurrence of contaminants in groundwater
          },
      resources, and (3) determining the persistence and fate of pharmaceuticals and
          "name": "Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States"
      other wastewater-related compounds in conventional and advanced drinking-water-treatment
        },
      facilities. Currently Paul is leading a team of USGS scientist who are using
        {
      machine learning methods to predict groundwater quality conditions in three
          "@id": "https://doi.org/10.3133/fs20173055",
      dimensions throughout select principal aquifers of the United States as well
          "@type": "CreativeWork",
      as at the depths commonly used for domestic and public supplies at the National
          "identifier": {
      scale.Education:M.S., Geology, University of Missouri - Columbia.B.S., Geology
            "@type": "PropertyValue",
      and Mineralology, The Ohio State University, Minor: Computer and Information
            "propertyID": "doi",
      Science.'
            "value": "10.3133/fs20173055"
    additionalType: personal statement
          },
  email: pestack@usgs.gov
          "name": "Groundwater quality in the glacial aquifer system, United States"
  hasCredential: []
        },
  hasOccupation:
        {
  - '@type': OrganizationalRole
          "@id": "https://doi.org/10.3133/ds1063",
    affiliatedOrganization:
          "@type": "CreativeWork",
      '@type': Organization
          "identifier": {
      name: Water Resources Mission Area
            "@type": "PropertyValue",
      url: https://www.usgs.gov/mission-areas/water-resources
            "propertyID": "doi",
    roleName: Hydrologist
            "value": "10.3133/ds1063"
    startDate: '2024-05-12T15:40:53.967491'
          },
  identifier:
          "name": "Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014"
  - '@type': PropertyValue
        },
    propertyID: GeoKB
        {
    value: https://geokb.wikibase.cloud/entity/Q49493
          "@id": "https://doi.org/10.3133/sir20055287",
  - '@type': PropertyValue
          "@type": "CreativeWork",
    propertyID: ORCID
          "identifier": {
    value: 0000-0002-1818-355X
            "@type": "PropertyValue",
  jobTitle: Hydrologist
            "propertyID": "doi",
  knowsAbout:
            "value": "10.3133/sir20055287"
  - '@type': Thing
          },
    additionalType: self-claimed expertise
          "name": "Development and application of a regression equation for estimating the occurrence of atrazine in shallow ground water beneath agricultural areas of the United States"
    name: machine learning
        },
  - '@type': Thing
        {
    additionalType: self-claimed expertise
          "@id": "https://doi.org/10.3133/cir1291",
    name: groundwater quality
          "@type": "CreativeWork",
  memberOf:
          "identifier": {
    '@type': OrganizationalRole
            "@type": "PropertyValue",
    member:
            "propertyID": "doi",
      '@type': Organization
            "value": "10.3133/cir1291"
      name: U.S. Geological Survey
          },
    name: staff member
          "name": "Pesticides in the Nation's Streams and Ground Water, 1992\u20132001"
    startDate: '2024-05-12T15:40:53.964906'
        },
   name: Paul Stackelberg
        {
  url: https://www.usgs.gov/staff-profiles/paul-stackelberg
          "@id": "https://doi.org/10.3133/sir20045174",
          "@type": "CreativeWork",
          "identifier": {
            "@type": "PropertyValue",
            "propertyID": "doi",
            "value": "10.3133/sir20045174"
          },
          "name": "Application of health-based screening levels to ground-water quality data in a state-scale pilot effort"
        },
        {
          "@id": "https://doi.org/10.3133/ofr01378",
          "@type": "CreativeWork",
          "identifier": {
            "@type": "PropertyValue",
            "propertyID": "doi",
            "value": "10.3133/ofr01378"
          },
          "name": "Water quality data for selected wells in the Coastal Plain of New Jersey, 1996-98"
        },
        {
          "@id": "https://doi.org/10.3133/cir1201",
          "@type": "CreativeWork",
          "identifier": {
            "@type": "PropertyValue",
            "propertyID": "doi",
            "value": "10.3133/cir1201"
          },
          "name": "Water quality in the Long Island-New Jersey coastal drainages, New York and New Jersey, 1996\u201398"
        },
        {
          "@id": "https://doi.org/10.3133/fs11896",
          "@type": "CreativeWork",
          "identifier": {
            "@type": "PropertyValue",
            "propertyID": "doi",
            "value": "10.3133/fs11896"
          },
          "name": "Presence and distribution of chlorinated organic compounds in streambed sediments, New Jersey"
        },
        {
          "@id": "https://doi.org/10.3133/fs01294",
          "@type": "CreativeWork",
          "identifier": {
            "@type": "PropertyValue",
            "propertyID": "doi",
            "value": "10.3133/fs01294"
          },
          "name": "National Water-Quality Assessment (NAWQA) Program, Long Island-New Jersey (LINJ) Coastal Drainages Study Unit"
        }
      ]
    },
    "@type": "Person",
    "affiliation": {
      "@id": "https://doi.org/10.13039/100000201",
      "@type": "Organization",
      "alternateName": "U.S. Department of the Interior",
      "name": "U.S. Geological Survey"
    },
    "familyName": "Stackelberg",
    "givenName": "Paul",
    "mainEntityOfPage": "https://orcid.org/0000-0002-1818-355X"
  },
  "OpenAlex": {
    "created_date": "2023-07-21",
    "display_name": "Paul E. Stackelberg",
    "display_name_alternatives": [
      "P. E. Stackelberg",
      "Paul Stackelberg",
      "Paul E. Stackelberg"
    ],
    "ids": {
      "openalex": "https://openalex.org/A5001031625",
      "orcid": "https://orcid.org/0000-0002-1818-355X"
    },
    "last_known_institutions": [
      {
        "country_code": "US",
        "display_name": "United States Geological Survey",
        "id": "https://openalex.org/I1286329397",
        "lineage": [
          "https://openalex.org/I1286329397",
          "https://openalex.org/I1335927249"
        ],
        "ror": "https://ror.org/035a68863",
        "type": "government"
      }
    ],
    "orcid": "https://orcid.org/0000-0002-1818-355X",
    "topics": [
      {
        "count": 32,
        "display_name": "Stable Isotope Analysis of Groundwater and Precipitation",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Earth and Planetary Sciences",
          "id": "https://openalex.org/fields/19"
        },
        "id": "https://openalex.org/T10398",
        "subfield": {
          "display_name": "Geochemistry and Petrology",
          "id": "https://openalex.org/subfields/1906"
        }
      },
      {
        "count": 28,
        "display_name": "Groundwater Flow and Transport Modeling",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10894",
        "subfield": {
          "display_name": "Environmental Engineering",
          "id": "https://openalex.org/subfields/2305"
        }
      },
      {
        "count": 26,
        "display_name": "Water Quality and Hydrogeology Research",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T12773",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 8,
        "display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11311",
        "subfield": {
          "display_name": "Environmental Chemistry",
          "id": "https://openalex.org/subfields/2304"
        }
      },
      {
        "count": 7,
        "display_name": "Assessment of Surface Water Quality",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11634",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 5,
        "display_name": "Antibiotic Resistance in Aquatic Environments and Wastewater",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10419",
        "subfield": {
          "display_name": "Pollution",
          "id": "https://openalex.org/subfields/2310"
        }
      },
      {
        "count": 4,
        "display_name": "Sources and Effects of Ionizing Radiation on Human Health",
        "domain": {
          "display_name": "Health Sciences",
          "id": "https://openalex.org/domains/4"
        },
        "field": {
          "display_name": "Health Professions",
          "id": "https://openalex.org/fields/36"
        },
        "id": "https://openalex.org/T10946",
        "subfield": {
          "display_name": "Radiological and Ultrasound Technology",
          "id": "https://openalex.org/subfields/3614"
        }
      },
      {
        "count": 4,
        "display_name": "Environmental Impacts of Fukushima Nuclear Disaster",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11089",
        "subfield": {
          "display_name": "Global and Planetary Change",
          "id": "https://openalex.org/subfields/2306"
        }
      },
      {
        "count": 4,
        "display_name": "Occurrence and Health Effects of Drinking Water Disinfection By-Products",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11493",
        "subfield": {
          "display_name": "Health, Toxicology and Mutagenesis",
          "id": "https://openalex.org/subfields/2307"
        }
      },
      {
        "count": 3,
        "display_name": "Arsenic Contamination in Natural Waters",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10710",
        "subfield": {
          "display_name": "Environmental Chemistry",
          "id": "https://openalex.org/subfields/2304"
        }
      },
      {
        "count": 3,
        "display_name": "Impact of Persistent Organic Pollutants on Environment and Health",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10122",
        "subfield": {
          "display_name": "Health, Toxicology and Mutagenesis",
          "id": "https://openalex.org/subfields/2307"
        }
      },
      {
        "count": 3,
        "display_name": "Machine Learning for Mineral Prospectivity Mapping",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Computer Science",
          "id": "https://openalex.org/fields/17"
        },
        "id": "https://openalex.org/T12157",
        "subfield": {
          "display_name": "Artificial Intelligence",
          "id": "https://openalex.org/subfields/1702"
        }
      },
      {
        "count": 3,
        "display_name": "Hydrological Modeling and Water Resource Management",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10330",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 3,
        "display_name": "Pesticide Pollution and Management",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11180",
        "subfield": {
          "display_name": "Pollution",
          "id": "https://openalex.org/subfields/2310"
        }
      },
      {
        "count": 2,
        "display_name": "Integrated Management of Water, Energy, and Food Resources",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T12724",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 2,
        "display_name": "On-line Monitoring of Wastewater Quality",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T14249",
        "subfield": {
          "display_name": "Industrial and Manufacturing Engineering",
          "id": "https://openalex.org/subfields/2311"
        }
      },
      {
        "count": 2,
        "display_name": "Real-time Water Quality Monitoring and Aquaculture Management",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T12697",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 2,
        "display_name": "Hydrological Modeling using Machine Learning Methods",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11490",
        "subfield": {
          "display_name": "Environmental Engineering",
          "id": "https://openalex.org/subfields/2305"
        }
      },
      {
        "count": 2,
        "display_name": "Wastewater Reuse and Management Practices",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11781",
        "subfield": {
          "display_name": "Industrial and Manufacturing Engineering",
          "id": "https://openalex.org/subfields/2311"
        }
      },
      {
        "count": 2,
        "display_name": "Impact of Road Salt on Freshwater Salinization",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T12682",
        "subfield": {
          "display_name": "Pollution",
          "id": "https://openalex.org/subfields/2310"
        }
      },
      {
        "count": 2,
        "display_name": "Environmental Impact of Heavy Metal Contamination",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T10139",
        "subfield": {
          "display_name": "Pollution",
          "id": "https://openalex.org/subfields/2310"
        }
      },
      {
        "count": 1,
        "display_name": "Analysis of Land Cover and Ecosystems",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T14468",
        "subfield": {
          "display_name": "Ecology",
          "id": "https://openalex.org/subfields/2303"
        }
      },
      {
        "count": 1,
        "display_name": "Geological Modeling and Uncertainty Analysis",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Earth and Planetary Sciences",
          "id": "https://openalex.org/fields/19"
        },
        "id": "https://openalex.org/T13067",
        "subfield": {
          "display_name": "Geochemistry and Petrology",
          "id": "https://openalex.org/subfields/1906"
        }
      },
      {
        "count": 1,
        "display_name": "Fluoride Contamination in Drinking Water and Defluoridation Methods",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Environmental Science",
          "id": "https://openalex.org/fields/23"
        },
        "id": "https://openalex.org/T11969",
        "subfield": {
          "display_name": "Water Science and Technology",
          "id": "https://openalex.org/subfields/2312"
        }
      },
      {
        "count": 1,
        "display_name": "Analytical Chemistry Techniques",
        "domain": {
          "display_name": "Physical Sciences",
          "id": "https://openalex.org/domains/3"
        },
        "field": {
          "display_name": "Chemistry",
          "id": "https://openalex.org/fields/16"
        },
        "id": "https://openalex.org/T10180",
        "subfield": {
          "display_name": "Analytical Chemistry",
          "id": "https://openalex.org/subfields/1602"
        }
      }
    ],
    "updated_date": "2024-05-16T10:38:25.017026"
   }
}

Revision as of 20:25, 30 August 2024

{ 

 "USGS Staff Profile": {
   "_id": "https://www.usgs.gov/staff-profiles/paul-stackelberg",
   "item": "https://geokb.wikibase.cloud/entity/Q49493",
   "last_update": "2024-05-12T00:00:00Z",
   "previous_address": null,
   "qid": "Q49493",
   "retrieved": "2024-05-12T00:00:00Z",
   "schema": {
     "@context": "https://schema.org",
     "@type": "Person",
     "affiliation": [],
     "description": [
       {
         "@type": "TextObject",
         "abstract": "Hydrologist with the Water Resources Mission Area",
         "additionalType": "short description"
       },
       {
         "@type": "TextObject",
         "abstract": "Paul Stackelberg is a Hydrologist with the Water Resources Mission Area.",
         "additionalType": "staff profile page introductory statement"
       },
       {
         "@type": "TextObject",
         "abstract": "Paul Stackelberg has worked as a hydrologist with the U.S. Geological Survey (USGS) since 1988. His research interests have included (1) evaluating natural and anthropogenic factors that affect groundwater quality, (2) developing statistical models for predicting the occurrence of contaminants in groundwater resources, and (3) determining the persistence and fate of pharmaceuticals and other wastewater-related compounds in conventional and advanced drinking-water-treatment facilities. Currently Paul is leading a team of USGS scientist who are using machine learning methods to predict groundwater quality conditions in three dimensions throughout select principal aquifers of the United States as well as at the depths commonly used for domestic and public supplies at the National scale.Education:M.S., Geology, University of Missouri - Columbia.B.S., Geology and Mineralology, The Ohio State University, Minor: Computer and Information Science.",
         "additionalType": "personal statement"
       }
     ],
     "email": "pestack@usgs.gov",
     "hasCredential": [],
     "hasOccupation": [
       {
         "@type": "OrganizationalRole",
         "affiliatedOrganization": {
           "@type": "Organization",
           "name": "Water Resources Mission Area",
           "url": "https://www.usgs.gov/mission-areas/water-resources"
         },
         "roleName": "Hydrologist",
         "startDate": "2024-05-12T15:40:53.967491"
       }
     ],
     "identifier": [
       {
         "@type": "PropertyValue",
         "propertyID": "GeoKB",
         "value": "https://geokb.wikibase.cloud/entity/Q49493"
       },
       {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-1818-355X"
       }
     ],
     "jobTitle": "Hydrologist",
     "knowsAbout": [
       {
         "@type": "Thing",
         "additionalType": "self-claimed expertise",
         "name": "machine learning"
       },
       {
         "@type": "Thing",
         "additionalType": "self-claimed expertise",
         "name": "groundwater quality"
       }
     ],
     "memberOf": {
       "@type": "OrganizationalRole",
       "member": {
         "@type": "Organization",
         "name": "U.S. Geological Survey"
       },
       "name": "staff member",
       "startDate": "2024-05-12T15:40:53.964906"
     },
     "name": "Paul Stackelberg",
     "url": "https://www.usgs.gov/staff-profiles/paul-stackelberg"
   },
   "status_code": "200"
 },
 "ORCID": {
   "@context": "http://schema.org",
   "@id": "https://orcid.org/0000-0002-1818-355X",
   "@reverse": {
     "creator": [
       {
         "@id": "https://doi.org/10.1016/j.envsoft.2021.105006",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.envsoft.2021.105006"
         },
         "name": "Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models"
       },
       {
         "@id": "https://doi.org/10.1111/gwat.13063",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1111/gwat.13063"
         },
         "name": "Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA"
       },
       {
         "@id": "https://doi.org/10.1029/2020wr028207",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1029/2020wr028207"
         },
         "name": "Machine Learning Predicted Redox Conditions in the Glacial Aquifer System, Northern Continental United States"
       },
       {
         "@id": "https://doi.org/10.3133/sir20215069",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/sir20215069"
         },
         "name": "Depth of groundwater used for drinking-water supplies in the United States"
       },
       {
         "@id": "https://doi.org/10.1021/acs.est.0c00192",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1021/acs.est.0c00192"
         },
         "name": "Occurrence and Geochemistry of Lead-210 and Polonium-210 Radionuclides in Public-Drinking-Water Supplies from Principal Aquifers of the United States"
       },
       {
         "@id": "https://doi.org/10.1016/j.jhydrol.2019.124505",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.jhydrol.2019.124505"
         },
         "name": "Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer"
       },
       {
         "@id": "https://doi.org/10.1016/j.apgeochem.2017.11.002",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.apgeochem.2017.11.002"
         },
         "name": "Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA"
       },
       {
         "@id": "https://doi.org/10.3133/ds1087",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/ds1087"
         },
         "name": "Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2015, and previously unpublished data from 2013 to 2014"
       },
       {
         "@id": "https://doi.org/10.3133/fs20173056",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/fs20173056"
         },
         "name": "Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States"
       },
       {
         "@id": "https://doi.org/10.3133/fs20173055",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/fs20173055"
         },
         "name": "Groundwater quality in the glacial aquifer system, United States"
       },
       {
         "@id": "https://doi.org/10.3133/ds1063",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/ds1063"
         },
         "name": "Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014"
       },
       {
         "@id": "https://doi.org/10.3133/sir20055287",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/sir20055287"
         },
         "name": "Development and application of a regression equation for estimating the occurrence of atrazine in shallow ground water beneath agricultural areas of the United States"
       },
       {
         "@id": "https://doi.org/10.3133/cir1291",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/cir1291"
         },
         "name": "Pesticides in the Nation's Streams and Ground Water, 1992\u20132001"
       },
       {
         "@id": "https://doi.org/10.3133/sir20045174",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/sir20045174"
         },
         "name": "Application of health-based screening levels to ground-water quality data in a state-scale pilot effort"
       },
       {
         "@id": "https://doi.org/10.3133/ofr01378",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/ofr01378"
         },
         "name": "Water quality data for selected wells in the Coastal Plain of New Jersey, 1996-98"
       },
       {
         "@id": "https://doi.org/10.3133/cir1201",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/cir1201"
         },
         "name": "Water quality in the Long Island-New Jersey coastal drainages, New York and New Jersey, 1996\u201398"
       },
       {
         "@id": "https://doi.org/10.3133/fs11896",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/fs11896"
         },
         "name": "Presence and distribution of chlorinated organic compounds in streambed sediments, New Jersey"
       },
       {
         "@id": "https://doi.org/10.3133/fs01294",
         "@type": "CreativeWork",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3133/fs01294"
         },
         "name": "National Water-Quality Assessment (NAWQA) Program, Long Island-New Jersey (LINJ) Coastal Drainages Study Unit"
       }
     ]
   },
   "@type": "Person",
   "affiliation": {
     "@id": "https://doi.org/10.13039/100000201",
     "@type": "Organization",
     "alternateName": "U.S. Department of the Interior",
     "name": "U.S. Geological Survey"
   },
   "familyName": "Stackelberg",
   "givenName": "Paul",
   "mainEntityOfPage": "https://orcid.org/0000-0002-1818-355X"
 },
 "OpenAlex": {
   "created_date": "2023-07-21",
   "display_name": "Paul E. Stackelberg",
   "display_name_alternatives": [
     "P. E. Stackelberg",
     "Paul Stackelberg",
     "Paul E. Stackelberg"
   ],
   "ids": {
     "openalex": "https://openalex.org/A5001031625",
     "orcid": "https://orcid.org/0000-0002-1818-355X"
   },
   "last_known_institutions": [
     {
       "country_code": "US",
       "display_name": "United States Geological Survey",
       "id": "https://openalex.org/I1286329397",
       "lineage": [
         "https://openalex.org/I1286329397",
         "https://openalex.org/I1335927249"
       ],
       "ror": "https://ror.org/035a68863",
       "type": "government"
     }
   ],
   "orcid": "https://orcid.org/0000-0002-1818-355X",
   "topics": [
     {
       "count": 32,
       "display_name": "Stable Isotope Analysis of Groundwater and Precipitation",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Earth and Planetary Sciences",
         "id": "https://openalex.org/fields/19"
       },
       "id": "https://openalex.org/T10398",
       "subfield": {
         "display_name": "Geochemistry and Petrology",
         "id": "https://openalex.org/subfields/1906"
       }
     },
     {
       "count": 28,
       "display_name": "Groundwater Flow and Transport Modeling",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10894",
       "subfield": {
         "display_name": "Environmental Engineering",
         "id": "https://openalex.org/subfields/2305"
       }
     },
     {
       "count": 26,
       "display_name": "Water Quality and Hydrogeology Research",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T12773",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 8,
       "display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11311",
       "subfield": {
         "display_name": "Environmental Chemistry",
         "id": "https://openalex.org/subfields/2304"
       }
     },
     {
       "count": 7,
       "display_name": "Assessment of Surface Water Quality",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11634",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 5,
       "display_name": "Antibiotic Resistance in Aquatic Environments and Wastewater",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10419",
       "subfield": {
         "display_name": "Pollution",
         "id": "https://openalex.org/subfields/2310"
       }
     },
     {
       "count": 4,
       "display_name": "Sources and Effects of Ionizing Radiation on Human Health",
       "domain": {
         "display_name": "Health Sciences",
         "id": "https://openalex.org/domains/4"
       },
       "field": {
         "display_name": "Health Professions",
         "id": "https://openalex.org/fields/36"
       },
       "id": "https://openalex.org/T10946",
       "subfield": {
         "display_name": "Radiological and Ultrasound Technology",
         "id": "https://openalex.org/subfields/3614"
       }
     },
     {
       "count": 4,
       "display_name": "Environmental Impacts of Fukushima Nuclear Disaster",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11089",
       "subfield": {
         "display_name": "Global and Planetary Change",
         "id": "https://openalex.org/subfields/2306"
       }
     },
     {
       "count": 4,
       "display_name": "Occurrence and Health Effects of Drinking Water Disinfection By-Products",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11493",
       "subfield": {
         "display_name": "Health, Toxicology and Mutagenesis",
         "id": "https://openalex.org/subfields/2307"
       }
     },
     {
       "count": 3,
       "display_name": "Arsenic Contamination in Natural Waters",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10710",
       "subfield": {
         "display_name": "Environmental Chemistry",
         "id": "https://openalex.org/subfields/2304"
       }
     },
     {
       "count": 3,
       "display_name": "Impact of Persistent Organic Pollutants on Environment and Health",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10122",
       "subfield": {
         "display_name": "Health, Toxicology and Mutagenesis",
         "id": "https://openalex.org/subfields/2307"
       }
     },
     {
       "count": 3,
       "display_name": "Machine Learning for Mineral Prospectivity Mapping",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Computer Science",
         "id": "https://openalex.org/fields/17"
       },
       "id": "https://openalex.org/T12157",
       "subfield": {
         "display_name": "Artificial Intelligence",
         "id": "https://openalex.org/subfields/1702"
       }
     },
     {
       "count": 3,
       "display_name": "Hydrological Modeling and Water Resource Management",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10330",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 3,
       "display_name": "Pesticide Pollution and Management",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11180",
       "subfield": {
         "display_name": "Pollution",
         "id": "https://openalex.org/subfields/2310"
       }
     },
     {
       "count": 2,
       "display_name": "Integrated Management of Water, Energy, and Food Resources",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T12724",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 2,
       "display_name": "On-line Monitoring of Wastewater Quality",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T14249",
       "subfield": {
         "display_name": "Industrial and Manufacturing Engineering",
         "id": "https://openalex.org/subfields/2311"
       }
     },
     {
       "count": 2,
       "display_name": "Real-time Water Quality Monitoring and Aquaculture Management",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T12697",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 2,
       "display_name": "Hydrological Modeling using Machine Learning Methods",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11490",
       "subfield": {
         "display_name": "Environmental Engineering",
         "id": "https://openalex.org/subfields/2305"
       }
     },
     {
       "count": 2,
       "display_name": "Wastewater Reuse and Management Practices",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11781",
       "subfield": {
         "display_name": "Industrial and Manufacturing Engineering",
         "id": "https://openalex.org/subfields/2311"
       }
     },
     {
       "count": 2,
       "display_name": "Impact of Road Salt on Freshwater Salinization",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T12682",
       "subfield": {
         "display_name": "Pollution",
         "id": "https://openalex.org/subfields/2310"
       }
     },
     {
       "count": 2,
       "display_name": "Environmental Impact of Heavy Metal Contamination",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T10139",
       "subfield": {
         "display_name": "Pollution",
         "id": "https://openalex.org/subfields/2310"
       }
     },
     {
       "count": 1,
       "display_name": "Analysis of Land Cover and Ecosystems",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T14468",
       "subfield": {
         "display_name": "Ecology",
         "id": "https://openalex.org/subfields/2303"
       }
     },
     {
       "count": 1,
       "display_name": "Geological Modeling and Uncertainty Analysis",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Earth and Planetary Sciences",
         "id": "https://openalex.org/fields/19"
       },
       "id": "https://openalex.org/T13067",
       "subfield": {
         "display_name": "Geochemistry and Petrology",
         "id": "https://openalex.org/subfields/1906"
       }
     },
     {
       "count": 1,
       "display_name": "Fluoride Contamination in Drinking Water and Defluoridation Methods",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Environmental Science",
         "id": "https://openalex.org/fields/23"
       },
       "id": "https://openalex.org/T11969",
       "subfield": {
         "display_name": "Water Science and Technology",
         "id": "https://openalex.org/subfields/2312"
       }
     },
     {
       "count": 1,
       "display_name": "Analytical Chemistry Techniques",
       "domain": {
         "display_name": "Physical Sciences",
         "id": "https://openalex.org/domains/3"
       },
       "field": {
         "display_name": "Chemistry",
         "id": "https://openalex.org/fields/16"
       },
       "id": "https://openalex.org/T10180",
       "subfield": {
         "display_name": "Analytical Chemistry",
         "id": "https://openalex.org/subfields/1602"
       }
     }
   ],
   "updated_date": "2024-05-16T10:38:25.017026"
 }

}

Retrieved from "https://geokb.wikibase.cloud/w/index.php?title=Item_talk:Q49493&oldid=1133244"