Item talk:Q54378
From geokb
{
"USGS Staff Profile": {
"@context": "https://schema.org",
"@type": "Person",
"dateModified": "2024-09-21T07:59:38.128374",
"name": "Emilia L Bristow",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-7939-166X"
}
],
"jobTitle": "Hydrologist",
"hasOccupation": [
{
"@type": "OrganizationalRole",
"startDate": "2024-09-21T07:59:38.134218",
"affiliatedOrganization": {
"@type": "Organization",
"name": "Central Midwest Water Science Center",
"url": "https://www.usgs.gov/centers/cm-water"
},
"roleName": "Hydrologist"
},
{
"@type": "Occupation",
"additionalType": "self-claimed professional experience",
"name": "2016 - 2019 Student Trainee, USGS, Central Midwest Water Science Center, Iowa City, Iowa"
},
{
"@type": "Occupation",
"additionalType": "self-claimed professional experience",
"name": "2019 - present Hydrologist, USGS, Central Midwest Water Science Center, Iowa City, Iowa"
}
],
"description": [
{
"@type": "TextObject",
"additionalType": "short description",
"abstract": "Hydrologist with the Central Midwest Water Science Center"
},
{
"@type": "TextObject",
"additionalType": "staff profile page introductory statement",
"abstract": "Emilia (Emmy) joined the USGS in 2016 as a student employee and has worked as a Hydrologist since 2019. Her research interests include near-surface geophysical surveys and data processing for hydrologic investigations, Python coding for data handling and model development, and applications of GIS for study design and data interpretation and presentation."
}
],
"email": "ebristow@usgs.gov",
"url": "https://www.usgs.gov/staff-profiles/emilia-l-bristow",
"affiliation": [],
"hasCredential": [
{
"@type": "EducationalOccupationalCredential",
"name": "BS Environmental Science, University of Iowa 2012"
}
],
"knowsAbout": [
{
"@type": "Thing",
"additionalType": "self-claimed expertise",
"name": "Python coding for data handling"
},
{
"@type": "Thing",
"additionalType": "self-claimed expertise",
"name": "GIS for study design and data interpretation and presentation"
}
],
"memberOf": {
"@type": "OrganizationalRole",
"name": "staff member",
"member": {
"@type": "Organization",
"name": "U.S. Geological Survey"
},
"startDate": "2024-09-21T07:59:38.128383"
}
},
"ORCID": {
"@context": "http://schema.org",
"@id": "https://orcid.org/0000-0002-7939-166X",
"@reverse": {
"creator": [
{
"@id": "https://doi.org/10.1016/j.ejrh.2024.101674",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ejrh.2024.101674"
},
"name": "Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions"
},
{
"@id": "https://doi.org/10.3133/sir20245007",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/sir20245007"
},
"name": "Simulation of groundwater and surface-water interaction and lake resiliency at Crystal Lake, City of Crystal Lake, Illinois"
},
{
"@id": "https://doi.org/10.3133/fs20233006",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/fs20233006"
},
"name": "Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022"
},
{
"@id": "https://doi.org/10.3133/ofr20211110",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/ofr20211110"
},
"name": "A steady-state groundwater flow model for the Des Moines River alluvial aquifer near Prospect Park, Des Moines, Iowa"
},
{
"@id": "https://doi.org/10.3133/sir20215065",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/sir20215065"
},
"name": "Conceptual and numerical groundwater flow model of the Cedar River alluvial aquifer system with simulation of drought stress on groundwater availability near Cedar Rapids, Iowa, for 2011 through 2013"
},
{
"@id": "https://doi.org/10.3133/ofr20201031",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/ofr20201031"
},
"name": "Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011\u201318"
},
{
"@id": "https://doi.org/10.3133/sim3423",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/sim3423"
},
"name": "Delineation of selected lithologic units using airborne electromagnetic data near Cedar Rapids, Iowa"
},
{
"@id": "https://doi.org/10.3133/ds1110",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/ds1110"
},
"name": "Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008\u201317"
}
]
},
"@type": "Person",
"affiliation": {
"@type": "Organization",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "2928"
},
"name": "US Geological Survey"
},
"familyName": "Bristow",
"givenName": "Emilia",
"mainEntityOfPage": "https://orcid.org/0000-0002-7939-166X"
},
"OpenAlex": {
"created_date": "2023-07-21",
"display_name": "Emilia L. Bristow",
"display_name_alternatives": [
"Emilia Bristow",
"Emilia L. Bristow"
],
"ids": {
"openalex": "https://openalex.org/A5032679259",
"orcid": "https://orcid.org/0000-0002-7939-166X"
},
"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/0000-0002-7939-166X",
"topics": [
{
"count": 5,
"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": 4,
"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": 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": 2,
"display_name": "Applications of Ground-Penetrating Radar in Geoscience and Engineering",
"domain": {
"display_name": "Physical Sciences",
"id": "https://openalex.org/domains/3"
},
"field": {
"display_name": "Engineering",
"id": "https://openalex.org/fields/22"
},
"id": "https://openalex.org/T11609",
"subfield": {
"display_name": "Ocean Engineering",
"id": "https://openalex.org/subfields/2212"
}
},
{
"count": 2,
"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": 2,
"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": 2,
"display_name": "Mechanics and Transport in Unsaturated Soils",
"domain": {
"display_name": "Physical Sciences",
"id": "https://openalex.org/domains/3"
},
"field": {
"display_name": "Engineering",
"id": "https://openalex.org/fields/22"
},
"id": "https://openalex.org/T10716",
"subfield": {
"display_name": "Civil and Structural Engineering",
"id": "https://openalex.org/subfields/2205"
}
},
{
"count": 1,
"display_name": "Climate Change and Variability 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/T10029",
"subfield": {
"display_name": "Global and Planetary Change",
"id": "https://openalex.org/subfields/2306"
}
},
{
"count": 1,
"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": 1,
"display_name": "Global Methane Emissions and Impacts",
"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/T11588",
"subfield": {
"display_name": "Global and Planetary Change",
"id": "https://openalex.org/subfields/2306"
}
},
{
"count": 1,
"display_name": "3D Geospatial Modelling Techniques",
"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/T11211",
"subfield": {
"display_name": "Geology",
"id": "https://openalex.org/subfields/1907"
}
},
{
"count": 1,
"display_name": "Archaeological Remote Sensing using Remote Sensing Techniques",
"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/T12364",
"subfield": {
"display_name": "Space and Planetary Science",
"id": "https://openalex.org/subfields/1912"
}
},
{
"count": 1,
"display_name": "Mapping Forests with Lidar Remote Sensing",
"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/T11164",
"subfield": {
"display_name": "Environmental Engineering",
"id": "https://openalex.org/subfields/2305"
}
},
{
"count": 1,
"display_name": "Geophysical Exploration and Monitoring Techniques",
"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/T10572",
"subfield": {
"display_name": "Geophysics",
"id": "https://openalex.org/subfields/1908"
}
},
{
"count": 1,
"display_name": "Mapping Groundwater Potential Zones Using GIS Techniques",
"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/T12543",
"subfield": {
"display_name": "Environmental Engineering",
"id": "https://openalex.org/subfields/2305"
}
}
],
"updated_date": "2024-05-13T01:03:47.063730"
}
}
