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Katharine Kolb

Intro:

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

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Drainage basin delineation using the StreamStats web application for South Carolina.

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...
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South Atlantic Water Science Center (SAWSC)
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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...
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USGS science for a changing world logo

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
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Community for Data Integration (CDI)
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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
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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
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South Atlantic Water Science Center (SAWSC)

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
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South Atlantic Water Science Center (SAWSC)

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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
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Maryland-Delaware-D.C. Water Science Center, StreamStats

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
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Maryland-Delaware-D.C. Water Science Center, StreamStats

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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
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South Atlantic Water Science Center (SAWSC), StreamStats

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.
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Water Resources Mission Area, Caribbean-Florida Water Science Center (CFWSC), Caribbean-Florida Water Science Center (CFWSC)

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
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South Atlantic Water Science Center (SAWSC)
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management
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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 perc
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Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. Kolb
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine R. Kolb, Andrea G. Veilleux, Daniel M. Wagner
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Brent T. Aulenbach, Katharine R. Kolb, John K. Joiner, Andrew E. Knaak
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Toby D. Feaster, Katharine R. Kolb
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Toby D. Feaster, Katharine R. Kolb, Jaime A. Painter, Jimmy M. Clark
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Lower Mississippi-Gulf Water Science Center, Gulf of Mexico

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
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Toby D. Feaster, Jimmy M. Clark, Katharine R. Kolb
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Toby D. Feaster, J. Curtis Weaver, Anthony J. Gotvald, Katharine R. Kolb
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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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
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Water Resources Mission Area, Groundwater and Streamflow Information Program, StreamStats

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
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Michelle Moorman, Katharine R. Kolb, Stacy Supak
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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Stephen L. Harden, Thomas F. Cuffney, Silvia Terziotti, Katharine R. Kolb
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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
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J. Curtis Weaver, Silvia Terziotti, Katharine R. Kolb, Chad R. Wagner
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

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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Wyoming-Montana Water Science Center
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Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Preliminary Peak Stage and Streamflow Data at Selected U.S. Geological Survey Streamgaging Stations in North and South Carolina for Flooding Following...
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Science and Products