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I am interested in human impacts on the environment, both current and prehistoric. I work in the areas of GIS and social media.
Science and Products
South Carolina Streams Stats: Phase 2
This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...
Developing a "fire-aware" stream gage network by integrating USGS enterprise databases
Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the StreamStats w
Filter Total Items: 18
Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionaliz
Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-fl
Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats
In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospati
Impervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey prepared a geospatial raster dataset describing impervious surface in the SC StreamStats study area derived from the 30m resolution National Land Cover Dataset (NLCD) 2019. This layer, which covers the SC StreamStats study area, has been resampled from the source resolution to a scale of 30ft pixels and
Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats F
Basin Characteristics Rasters for Delaware StreamStats 2020
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of calculating stream gage basin characteristics in preparation for the Delaware 2020 StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Delaware
Fundamental Dataset Rasters for Delaware StreamStats 2020
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats app
Locations of Dams and Basins in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams
Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats is a Web-based Geographic Information Systems (GIS) application that provides a user-friendly interface to estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing
Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to des
Pre-computed mean maximum 30-minute 2-year precipitation rasters from the 43 available conterminous states, for use in the StreamStats Fire-Hydrology application 2021
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.go
Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.
Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an
Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary
Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 perc
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. Kolb
Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood‑frequency estimates at those streamgages. However, flood‑frequency estimates also are needed at ungaged
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. Kolb, Andrea G. Veilleux, Daniel M. Wagner
Hydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16
The U.S. Geological Survey, in cooperation with DeKalb County Department of Watershed Management, established a long-term water-quantity and water-quality monitoring program in 2012 to monitor and analyze the hydrologic and water-quality conditions of 15 watersheds in DeKalb County, Georgia—an urban and suburban area located in north-central Georgia that includes the easternmost part of the City o
Authors
Brent T. Aulenbach, Katharine R. Kolb, John K. Joiner, Andrew E. Knaak
Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017
The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time data during
Authors
Toby D. Feaster, Katharine R. Kolb
Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama
Streamflow data and statistics are vitally important for proper protection and management of the water quality and water quantity of Alabama streams. Such data and statistics are generally available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in
Authors
Toby D. Feaster, Katharine R. Kolb, Jaime A. Painter, Jimmy M. Clark
StreamStats for South Carolina: A multipurpose water-resources web application
The U.S. Geological Survey (USGS) developed the South Carolina StreamStats application in cooperation with the South Carolina Department of Transportation. StreamStats (https://water.usgs.gov/osw/streamstats/) is a map-based web application that provides analytical tools useful for water-resources planning and management and many engineering purposes. The web application delineates drainage areas
Authors
Toby D. Feaster, Jimmy M. Clark, Katharine R. Kolb
Preliminary peak stage and streamflow data for selected U.S. Geological Survey streamgaging stations in North and South Carolina for flooding following Hurricane Florence, September 2018
Hurricane Florence made landfall as a Category 1 hurricane at Wrightsville Beach, North Carolina, shortly after dawn on September 14, 2018. Once over land, the forward motion of the hurricane slowed to about 2 to 3 miles per hour. Over the next several days, the hurricane delivered historic amounts of rainfall across North and South Carolina, causing substantial flooding in many communities across
Authors
Toby D. Feaster, J. Curtis Weaver, Anthony J. Gotvald, Katharine R. Kolb
StreamStats, version 4
IntroductionStreamStats version 4, available at https://streamstats.usgs.gov, is a map-based web application that provides an assortment of analytical tools that are useful for water-resources planning and management, and engineering purposes. Developed by the U.S. Geological Survey (USGS), the primary purpose of StreamStats is to provide estimates of streamflow statistics for user-selected ungage
Authors
Kernell G. Ries, Jeremy K. Newson, Martyn J. Smith, John D. Guthrie, Peter A. Steeves, Tana Haluska, Katharine R. Kolb, Ryan F. Thompson, Richard D. Santoro, Hans W. Vraga
Estuarine monitoring programs in the Albemarle Sound study area, North Carolina
Albemarle Sound was selected in 2012 as one of the two demonstration sites in the Nation to test and improve the design of the National Water Quality Monitoring Council’s National Monitoring Network (NMN) for U.S. Coastal Waters and their tributaries. The goal of the NMN for U.S. coastal waters and tributaries is to provide information about the health of our oceans and coastal ecosystems and inla
Authors
Michelle Moorman, Katharine R. Kolb, Stacy Supak
Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008
Data collected between 1997 and 2008 at 48 stream sites were used to characterize relations between watershed settings and stream nutrient yields throughout central and eastern North Carolina. The focus of the investigation was to identify environmental variables in watersheds that influence nutrient export for supporting the development and prioritization of management strategies for restoring nu
Authors
Stephen L. Harden, Thomas F. Cuffney, Silvia Terziotti, Katharine R. Kolb
StreamStats in North Carolina: a water-resources Web application
A statewide StreamStats application for North Carolina was developed in cooperation with the North Carolina Department of Transportation following completion of a pilot application for the upper French Broad River basin in western North Carolina (Wagner and others, 2009). StreamStats for North Carolina, available at http://water.usgs.gov/osw/streamstats/north_carolina.html, is a Web-based Geograph
Authors
J. Curtis Weaver, Silvia Terziotti, Katharine R. Kolb, Chad R. Wagner
StreamStats Data Preparation Tools, version 4
A Python package to pre-process and hydro-enforce digital elevation models using hydrography features for use in the U.S. Geological Survey (USGS) StreamStats project.
Science and Products
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South Carolina Streams Stats: Phase 2
This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...Developing a "fire-aware" stream gage network by integrating USGS enterprise databases
Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the StreamStats w - Data
Filter Total Items: 18
Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalizModel Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flRegion Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats
In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatiImpervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey prepared a geospatial raster dataset describing impervious surface in the SC StreamStats study area derived from the 30m resolution National Land Cover Dataset (NLCD) 2019. This layer, which covers the SC StreamStats study area, has been resampled from the source resolution to a scale of 30ft pixels andPrecomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats FBasin Characteristics Rasters for Delaware StreamStats 2020
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of calculating stream gage basin characteristics in preparation for the Delaware 2020 StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the DelawareFundamental Dataset Rasters for Delaware StreamStats 2020
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats appLocations of Dams and Basins in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams
Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats is a Web-based Geographic Information Systems (GIS) application that provides a user-friendly interface to estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributingPre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to desPre-computed mean maximum 30-minute 2-year precipitation rasters from the 43 available conterminous states, for use in the StreamStats Fire-Hydrology application 2021
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.goGeospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an - Multimedia
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Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary
Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percAuthorsToby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. KolbMagnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood‑frequency estimates at those streamgages. However, flood‑frequency estimates also are needed at ungagedAuthorsToby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. Kolb, Andrea G. Veilleux, Daniel M. WagnerHydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16
The U.S. Geological Survey, in cooperation with DeKalb County Department of Watershed Management, established a long-term water-quantity and water-quality monitoring program in 2012 to monitor and analyze the hydrologic and water-quality conditions of 15 watersheds in DeKalb County, Georgia—an urban and suburban area located in north-central Georgia that includes the easternmost part of the City oAuthorsBrent T. Aulenbach, Katharine R. Kolb, John K. Joiner, Andrew E. KnaakEvaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017
The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time data duringAuthorsToby D. Feaster, Katharine R. KolbMethods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama
Streamflow data and statistics are vitally important for proper protection and management of the water quality and water quantity of Alabama streams. Such data and statistics are generally available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, inAuthorsToby D. Feaster, Katharine R. Kolb, Jaime A. Painter, Jimmy M. ClarkStreamStats for South Carolina: A multipurpose water-resources web application
The U.S. Geological Survey (USGS) developed the South Carolina StreamStats application in cooperation with the South Carolina Department of Transportation. StreamStats (https://water.usgs.gov/osw/streamstats/) is a map-based web application that provides analytical tools useful for water-resources planning and management and many engineering purposes. The web application delineates drainage areasAuthorsToby D. Feaster, Jimmy M. Clark, Katharine R. KolbPreliminary peak stage and streamflow data for selected U.S. Geological Survey streamgaging stations in North and South Carolina for flooding following Hurricane Florence, September 2018
Hurricane Florence made landfall as a Category 1 hurricane at Wrightsville Beach, North Carolina, shortly after dawn on September 14, 2018. Once over land, the forward motion of the hurricane slowed to about 2 to 3 miles per hour. Over the next several days, the hurricane delivered historic amounts of rainfall across North and South Carolina, causing substantial flooding in many communities acrossAuthorsToby D. Feaster, J. Curtis Weaver, Anthony J. Gotvald, Katharine R. KolbStreamStats, version 4
IntroductionStreamStats version 4, available at https://streamstats.usgs.gov, is a map-based web application that provides an assortment of analytical tools that are useful for water-resources planning and management, and engineering purposes. Developed by the U.S. Geological Survey (USGS), the primary purpose of StreamStats is to provide estimates of streamflow statistics for user-selected ungageAuthorsKernell G. Ries, Jeremy K. Newson, Martyn J. Smith, John D. Guthrie, Peter A. Steeves, Tana Haluska, Katharine R. Kolb, Ryan F. Thompson, Richard D. Santoro, Hans W. VragaEstuarine monitoring programs in the Albemarle Sound study area, North Carolina
Albemarle Sound was selected in 2012 as one of the two demonstration sites in the Nation to test and improve the design of the National Water Quality Monitoring Council’s National Monitoring Network (NMN) for U.S. Coastal Waters and their tributaries. The goal of the NMN for U.S. coastal waters and tributaries is to provide information about the health of our oceans and coastal ecosystems and inlaAuthorsMichelle Moorman, Katharine R. Kolb, Stacy SupakRelation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008
Data collected between 1997 and 2008 at 48 stream sites were used to characterize relations between watershed settings and stream nutrient yields throughout central and eastern North Carolina. The focus of the investigation was to identify environmental variables in watersheds that influence nutrient export for supporting the development and prioritization of management strategies for restoring nuAuthorsStephen L. Harden, Thomas F. Cuffney, Silvia Terziotti, Katharine R. KolbStreamStats in North Carolina: a water-resources Web application
A statewide StreamStats application for North Carolina was developed in cooperation with the North Carolina Department of Transportation following completion of a pilot application for the upper French Broad River basin in western North Carolina (Wagner and others, 2009). StreamStats for North Carolina, available at http://water.usgs.gov/osw/streamstats/north_carolina.html, is a Web-based GeographAuthorsJ. Curtis Weaver, Silvia Terziotti, Katharine R. Kolb, Chad R. Wagner - Software
StreamStats Data Preparation Tools, version 4
A Python package to pre-process and hydro-enforce digital elevation models using hydrography features for use in the U.S. Geological Survey (USGS) StreamStats project.
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