Item talk:Q49463: Difference between revisions
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ORCID: | |||
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name: Approaches for assessing flows, concentrations, and loads of highway and | |||
urban runoff and receiving-stream stormwater in southern New England with | |||
the Stochastic Empirical Loading and Dilution Model (SELDM) | |||
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name: Highway-Monitoring Data from Segments of Open-Graded Friction Course and | |||
Dense-Graded Hot-Mix Asphalt Pavement in Eastern Massachusetts, 2018-2021 | |||
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name: "Highway-runoff quality from segments of open-graded friction course and\ | |||
\ dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018\u2013\ | |||
21" | |||
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name: Basin Characteristics Data for the StreamStats Application in the Mystic | |||
River Basin, Massachusetts | |||
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name: Digital Elevation Model and Derivative Datasets to Support the Integration | |||
of Stormwater Drainage into the StreamStats Application for the Mystic River | |||
Watershed, Massachusetts | |||
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name: Water-Quality, Streamflow, and Quality-Control Data Supporting Estimation | |||
of Nutrient and Sediment Loads in the Scituate Reservoir Drainage Area, Rhode | |||
Island, Water Years 2016-19 | |||
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name: "Water-quality conditions and constituent loads, water years 2013\u2013\ | |||
19, and water-quality trends, water years 1983\u20132019, in the Scituate\ | |||
\ Reservoir drainage area, Rhode Island" | |||
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name: Assessment of water quality and discharge in the Herring River, Wellfleet, | |||
Massachusetts, November 2015 to September 2017 | |||
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name: Statistical methods for simulating structural stormwater runoff best management | |||
practices (BMPs) with the Stochastic Empirical Loading and Dilution Model | |||
(SELDM) | |||
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name: Statistics for simulating structural stormwater runoff best management | |||
practices (BMPs) with the Stochastic Empirical Loading and Dilution Model | |||
(SELDM) | |||
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name: Water-quality data from the Providence Water Supply Board for tributary | |||
streams to the Scituate Reservoir, water years 2018-19 | |||
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name: Basin characteristics and point locations of road crossings in Connecticut, | |||
Massachusetts, and Rhode Island for highway-runoff mitigation analyses using | |||
the Stochastic Empirical Loading and Dilution Model | |||
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name: Discrete water quality data supporting Herring River restoration project, | |||
Cape Cod National Seashore, 1984-2017 | |||
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name: Cosmogenic 22 Na as a steady-state tracer of solute transport and water | |||
age in first-order catchments | |||
'@type': Person | |||
familyName: Burton Spaetzel | |||
givenName: Alana | |||
mainEntityOfPage: https://orcid.org/0000-0002-9871-812X | |||
name: Alana B. Spaetzel | |||
USGS Staff Profile: | USGS Staff Profile: | ||
'@context': https://schema.org | '@context': https://schema.org |
Revision as of 16:31, 23 May 2024
ORCID:
'@context': http://schema.org '@id': https://orcid.org/0000-0002-9871-812X '@reverse': creator: - '@id': https://doi.org/10.3133/sir20235087 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20235087 name: Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM) - '@id': https://doi.org/10.5066/p9fasauv '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9fasauv name: Highway-Monitoring Data from Segments of Open-Graded Friction Course and Dense-Graded Hot-Mix Asphalt Pavement in Eastern Massachusetts, 2018-2021 - '@id': https://doi.org/10.3133/sir20235127 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20235127 name: "Highway-runoff quality from segments of open-graded friction course and\ \ dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018\u2013\ 21" - '@id': https://doi.org/10.5066/p9hjsn2q '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9hjsn2q name: Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts - '@id': https://doi.org/10.5066/p9fhafg7 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9fhafg7 name: Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts - '@id': https://doi.org/10.5066/p98xck0r '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p98xck0r name: Water-Quality, Streamflow, and Quality-Control Data Supporting Estimation of Nutrient and Sediment Loads in the Scituate Reservoir Drainage Area, Rhode Island, Water Years 2016-19 - '@id': https://doi.org/10.3133/sir20225043 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20225043 name: "Water-quality conditions and constituent loads, water years 2013\u2013\ 19, and water-quality trends, water years 1983\u20132019, in the Scituate\ \ Reservoir drainage area, Rhode Island" - '@id': https://doi.org/10.3133/sir20205120 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20205120 name: Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017 - '@id': https://doi.org/10.3133/sir20205136 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20205136 name: Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) - '@id': https://doi.org/10.5066/p9x3ectd '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9x3ectd name: Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) - '@id': https://doi.org/10.5066/p9wk8n0f '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9wk8n0f name: Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir, water years 2018-19 - '@id': https://doi.org/10.5066/p9vk1mcg '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9vk1mcg name: Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model - '@id': https://doi.org/10.5066/p95gy3r6 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p95gy3r6 name: Discrete water quality data supporting Herring River restoration project, Cape Cod National Seashore, 1984-2017 - '@id': https://doi.org/10.1016/j.epsl.2016.10.002 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.1016/j.epsl.2016.10.002 name: Cosmogenic 22 Na as a steady-state tracer of solute transport and water age in first-order catchments '@type': Person familyName: Burton Spaetzel givenName: Alana mainEntityOfPage: https://orcid.org/0000-0002-9871-812X name: Alana B. Spaetzel
USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject abstract: Supervisory Hydrologist with the New England Water Science Center additionalType: short description - '@type': TextObject abstract: Alana Burton Spaetzel is a Supervisory Hydrologist in the New England Water Science Center. additionalType: staff profile page introductory statement - '@type': TextObject abstract: Alana Spaetzel studies surface water-quality issues in New England. Her interests include nutrient loading in the urban environment, highway-runoff quality, and coastal water-quality monitoring. additionalType: personal statement email: aspaetzel@usgs.gov hasCredential: - '@type': EducationalOccupationalCredential name: M.S. Geology, Boston College, 2018 - '@type': EducationalOccupationalCredential name: B.S. Geology, College of William & Mary, 2015 hasOccupation: - '@type': OrganizationalRole affiliatedOrganization: '@type': Organization name: New England Water Science Center url: https://www.usgs.gov/centers/new-england-water-science-center roleName: Supervisory Hydrologist startDate: '2024-05-10T20:49:08.428590' - '@type': Occupation additionalType: self-claimed professional experience name: Supervisory Hydrologist, U.S. Geological Survey, New England Water Science Center, 2024 to Present - '@type': Occupation additionalType: self-claimed professional experience name: Hydrologist, U.S. Geological Survey, New England Water Science Center, 2017 to 2024 identifier: - '@type': PropertyValue propertyID: ORCID value: 0000-0002-9871-812X - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q49463 jobTitle: Supervisory Hydrologist knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: Stormwater runoff - '@type': Thing additionalType: self-claimed expertise name: Data Analysis - '@type': Thing additionalType: self-claimed expertise name: Statistical Modeling memberOf: '@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-10T20:49:08.425004' name: Alana Burton Spaetzel url: https://www.usgs.gov/staff-profiles/alana-burton-spaetzel