John C Weaver

November 6, 2023

Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)

The Federal Highway Administration and State departments of transportation nationwide need an efficient method to assess potential adverse effects of highway stormwater runoff on receiving waters to optimize stormwater-treatment decisions. To this end, the U.S. Geological Survey, in cooperation with the Federal Highway Administration and the North Carolina Department of Transportation (NCDOT), dev

Authors

Gregory E. Granato, Charles C. Stillwell, J. Curtis Weaver, Andrew H. McDaniel, Brian S. Lipscomb, Susan C. Jones, Ryan M. Mullins

By

Water Resources Mission Area, New England Water Science Center, South Atlantic Water Science Center (SAWSC)

April 28, 2023

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

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

April 28, 2023

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

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), StreamStats

May 20, 2019

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

Authors

J. Curtis Weaver, Gregory E. Granato, Sharon A. Fitzgerald

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), New England Water Science Center

October 24, 2018

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

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

December 19, 2016

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

Authors

J. Curtis Weaver, Toby D. Feaster, Jeanne C. Robbins

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), Hurricane Harvey, Hurricane Irma, Hurricane Maria

March 12, 2015

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

Authors

J. Curtis Weaver

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), StreamStats

January 1, 2014

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

Authors

Toby D. Feaster, Anthony J. Gotvald, J. Curtis Weaver

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

January 1, 1997

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

Authors

J. Curtis Weaver

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

January 1, 1996

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

Authors

J. Curtis Weaver

By

Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

May 8, 2023

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

By

South Atlantic Water Science Center (SAWSC)

May 8, 2023

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

By

South Atlantic Water Science Center (SAWSC)

September 29, 2021

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

By

South Atlantic Water Science Center (SAWSC)

September 25, 2019

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

By

South Atlantic Water Science Center (SAWSC), StreamStats

November 26, 2018

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

By

New England Water Science Center

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

USGS publishes peak stages and streamflow following Hurricane Matthew

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

USGS publishes peak stages and streamflow following Hurricane Matthew

U.S. Geological Survey

U.S. Department of the Interior

John C Weaver

Science and Products

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

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

DroughtWatch for North Carolina

StreamStats for Georgia, North and South Carolina

Urban and Small, Rural Streams Flood Frequency Information

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

USGS publishes peak stages and streamflow following Hurricane Matthew

Science and Products

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

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

DroughtWatch for North Carolina

StreamStats for Georgia, North and South Carolina

Urban and Small, Rural Streams Flood Frequency Information

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

USGS publishes peak stages and streamflow following Hurricane Matthew