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Low Flow Site Map for Georgia, North and South Carolina

Computation of low-flow statistics at continuous-record streamgages and regionalization of selected low-flow characteristics for streams in Georgia, South Carolina, and North Carolina

This ongoing USGS study for Georgia, South Carolina, and North Carolina aims to (1) compute low-flow statistics at selected continuous-record streamgages in Georgia, South Carolina, and North Carolina and to (2) develop regional regression equations for a subset of those low-flow characteristics for streams that are not substantially affected by tides, regulation, diversions, or other...
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South Atlantic Water Science Center (SAWSC)
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Computation of low-flow statistics at continuous-record streamgages and regionalization of selected low-flow characteristics for streams in Georgia, South Carolina, and North Carolina

This ongoing USGS study for Georgia, South Carolina, and North Carolina aims to (1) compute low-flow statistics at selected continuous-record streamgages in Georgia, South Carolina, and North Carolina and to (2) develop regional regression equations for a subset of those low-flow characteristics for streams that are not substantially affected by tides, regulation, diversions, or other...
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Dried up lake in Georgia - DroughtWatch

DroughtWatch for North Carolina

Find out about drought conditions in North Carolina. Our page offers links to maps and data, as well as North Carolina drought links, drought resources from other agencies, and pertinent publications.
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South Atlantic Water Science Center (SAWSC)
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DroughtWatch for North Carolina

Find out about drought conditions in North Carolina. Our page offers links to maps and data, as well as North Carolina drought links, drought resources from other agencies, and pertinent publications.
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StreamStats - Water-monitoring site analysis from USGS

StreamStats for Georgia, North and South Carolina

StreamStats is a map based Web application that provides information that can be used by engineers, managers, and planners to make informed decisions on water-related activities. Primary products are basin delineations, basin-characteristic measurements, and estimates of streamflow statistics. StreamStats allows for the analysis of upstream and downstream relations along streams.
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South Atlantic Water Science Center (SAWSC)
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StreamStats for Georgia, North and South Carolina

StreamStats is a map based Web application that provides information that can be used by engineers, managers, and planners to make informed decisions on water-related activities. Primary products are basin delineations, basin-characteristic measurements, and estimates of streamflow statistics. StreamStats allows for the analysis of upstream and downstream relations along streams.
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Map of streamgages with 10 or more years of recorded data

Urban and Small, Rural Streams Flood Frequency Information

Reliable estimates of the magnitude and frequency of floods are essential for such things as the design of transportation and water-conveyance structures, flood insurance studies, and flood-plain management. Flood-frequency estimates are particularly important in densely populated urban areas. The U.S. Geological Survey (USGS) is using a multistate approach to update methods for determining the...
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South Atlantic Water Science Center (SAWSC)
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Urban and Small, Rural Streams Flood Frequency Information

Reliable estimates of the magnitude and frequency of floods are essential for such things as the design of transportation and water-conveyance structures, flood insurance studies, and flood-plain management. Flood-frequency estimates are particularly important in densely populated urban areas. The U.S. Geological Survey (USGS) is using a multistate approach to update methods for determining the...
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Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff

In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pr
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South Atlantic Water Science Center (SAWSC)

Assessing Water Quality from Highway Runoff at Selected Sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)

In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated w
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South Atlantic Water Science Center (SAWSC), StreamStats

Highway-Runoff Database (HRDB) Version 1.0.0b

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database
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New England Water Science Center

Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)

In 2015, the U.S. Geological Survey (USGS) entered into a cooperative agreement with the North Carolina Department of Transportation (NCDOT) to develop a North Carolina-enhanced variation of the national Stochastic Empirical Loading and Dilution Model (SELDM) with available North Carolina-specific streamflow and water-quality data and to demonstrate use of the model by documenting selected simulat
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Water Resources, South Atlantic Water Science Center (SAWSC), New England Water Science Center

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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Water Resources, South Atlantic Water Science Center (SAWSC)

Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016

The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were widespread throughout the central and eastern regions, re
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Water Resources, South Atlantic Water Science Center (SAWSC)

Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina

Reliable estimates of the magnitude and frequency of floods are essential for such things as the design of transportation and water-conveyance structures, Flood Insurance Studies, and flood-plain management. The flood-frequency estimates are particularly important in densely populated urban areas. A multistate approach was used to update methods for determining the magnitude and frequency of flood
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Water Resources, South Atlantic Water Science Center (SAWSC)

Low-flow characteristics and flow-duration statistics for selected USGS continuous-record streamgaging stations in North Carolina through 2012

In 2013, the U.S. Geological Survey, in cooperation with the North Carolina Division of Water Resources, compiled updated low-flow characteristics and flow-duration statistics for selected continuous-record streamgages in North Carolina. The compilation of updated streamflow statistics provides regulators and planners with relevant hydrologic information reflective of the recent droughts, which ca
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Water Resources, South Atlantic Water Science Center (SAWSC), StreamStats

Low-flow characteristics and profiles for the Deep River in the Cape Fear River basin, North Carolina

An understanding of the magnitude and frequency of low-flow discharges is an important part of protecting surface-water resources and planning for municipal and industrial economic expansion. Low-flow characteristics are summarized for 7 continuous-record gaging stations and 23 partial-record measuring sites in the Deep River Basin in North Carolina. Records of discharge collected through the 1995
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Water Resources, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Low-flow characteristics and profiles for selected streams in the Roanoke River basin, North Carolina

An understanding of the magnitude and frequency of low-flow discharges is an important part of protecting surface-water resources and planning for municipal and industrial economic expansion. Low-flow characteristics are summarized for 22 continuous-record gaging stations in North Carolina (19 sites) and Virginia (3 sites) and 60 partial-record gaging stations in the North Carolina Roanoke River B
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Water Resources, South Atlantic Water Science Center (SAWSC)
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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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Kristen Bukowski McSwain
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Science and Products