Skip to main content
U.S. flag

An official website of the United States government

Alana Burton Spaetzel

Alana Burton Spaetzel is a Supervisory Hydrologist in the New England Water Science Center.

Professional Experience

  • Supervisory Hydrologist, U.S. Geological Survey, New England Water Science Center, 2024 to Present

  • Hydrologist, U.S. Geological Survey, New England Water Science Center, 2017 to 2024

Education and Certifications

  • M.S. Geology, Boston College, 2018

  • B.S. Geology, College of William & Mary, 2015

Science and Products

Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017 Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017

The U.S. Geological Survey, Cape Cod National Seashore of the National Park Service, and Friends of Herring River cooperated from 2015 to 2017 to assess nutrient concentrations and fluxes across the ocean-estuary boundary at a dike on the Herring River in Wellfleet, Massachusetts. The purpose of this assessment was to characterize environmental conditions prior to a future removal of the...
Authors
Thomas G. Huntington, Alana B. Spaetzel, John A. Colman, Kevin D. Kroeger, Robert T. Bradley
By
Water Resources Mission Area, New England Water Science Center

Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to...
Authors
Gregory E. Granato, Alana B. Spaetzel, Laura Medalie
By
Water Resources Mission Area, New England Water Science Center

Non-USGS Publications**

Kaste, J.M., Lauer, N.E., Spaetzel, A.B., Goydan, C., 2016, Cosmogenic 22Na as a steady-state tracer of solute transport and water age in first-order catchments: Earth and Planetary Science Letters, v. 456, p. 78-86. https://doi.org/10.1016/j.epsl.2016.10.002

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

highway

Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
By
Water Resources Mission Area
Transportation-Related Water Projects

Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
Learn More
USGS

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
By
New England Water Science Center
SELDM: Stochastic Empirical Loading and Dilution Model - Project page

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
Learn More
Filter Total Items: 14

Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin...
By
New England Water Science Center

Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin...
By
New England Water Science Center

Model Archive for Analysis of 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) Model Archive for Analysis of 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)

This data release documents the data and models used to assess flows, concentrations, and loads of highway and urban runoff and of stormwater within receiving streams in southern New England. There are more than 48,000 locations in southern New England where roads cross streams and many more locations where runoff from developed areas may discharge to receiving streams; information about...
By
New England Water Science Center

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 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

Annual loads of selected constituents were estimated for five stations in the Scituate Reservoir drainage area, Rhode Island, for water years 2016 to 2019 as part of a long-term monitoring program in cooperation with the Providence Water Supply Board. This data release includes the water-quality and streamflow data used to estimate annual loads of total phosphorus, dissolved phosphorus...
By
New England Water Science Center

Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 4.0, December 2025) Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 4.0, December 2025)

Water-quality data were collected by Providence Water, formerly referred to as Providence Water Supply Board (PWSB), from tributaries in the Scituate Reservoir drainage area, October 1, 2017 through September 30, 2024 (water years 2018 through 2024). Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 38 tributaries in the Scituate Reservoir...
By
New England Water Science Center

Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater...
By
New England Water Science Center
No results found.

Science and Products

Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017 Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017

The U.S. Geological Survey, Cape Cod National Seashore of the National Park Service, and Friends of Herring River cooperated from 2015 to 2017 to assess nutrient concentrations and fluxes across the ocean-estuary boundary at a dike on the Herring River in Wellfleet, Massachusetts. The purpose of this assessment was to characterize environmental conditions prior to a future removal of the...
Authors
Thomas G. Huntington, Alana B. Spaetzel, John A. Colman, Kevin D. Kroeger, Robert T. Bradley
By
Water Resources Mission Area, New England Water Science Center

Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to...
Authors
Gregory E. Granato, Alana B. Spaetzel, Laura Medalie
By
Water Resources Mission Area, New England Water Science Center

Non-USGS Publications**

Kaste, J.M., Lauer, N.E., Spaetzel, A.B., Goydan, C., 2016, Cosmogenic 22Na as a steady-state tracer of solute transport and water age in first-order catchments: Earth and Planetary Science Letters, v. 456, p. 78-86. https://doi.org/10.1016/j.epsl.2016.10.002

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

highway

Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
By
Water Resources Mission Area
Transportation-Related Water Projects

Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
Learn More
USGS

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
By
New England Water Science Center
SELDM: Stochastic Empirical Loading and Dilution Model - Project page

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
Learn More
Filter Total Items: 14

Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin...
By
New England Water Science Center

Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin...
By
New England Water Science Center

Model Archive for Analysis of 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) Model Archive for Analysis of 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)

This data release documents the data and models used to assess flows, concentrations, and loads of highway and urban runoff and of stormwater within receiving streams in southern New England. There are more than 48,000 locations in southern New England where roads cross streams and many more locations where runoff from developed areas may discharge to receiving streams; information about...
By
New England Water Science Center

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 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

Annual loads of selected constituents were estimated for five stations in the Scituate Reservoir drainage area, Rhode Island, for water years 2016 to 2019 as part of a long-term monitoring program in cooperation with the Providence Water Supply Board. This data release includes the water-quality and streamflow data used to estimate annual loads of total phosphorus, dissolved phosphorus...
By
New England Water Science Center

Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 4.0, December 2025) Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 4.0, December 2025)

Water-quality data were collected by Providence Water, formerly referred to as Providence Water Supply Board (PWSB), from tributaries in the Scituate Reservoir drainage area, October 1, 2017 through September 30, 2024 (water years 2018 through 2024). Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 38 tributaries in the Scituate Reservoir...
By
New England Water Science Center

Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater...
By
New England Water Science Center
No results found.
Was this page helpful?