Charles Stillwell, Ph.D.
(he/him)Charlie Stillwell is a Hydrologist for the South Atlantic Water Science Center’s Watershed and Statistical Hydrology Team.
I study hydrology in altered watersheds, particularly those impacted by urbanization. How does development affect flow and water quality? Can green infrastructure counteract hydrologic alteration? I use statistical, data-driven methods to understand these patterns. My research supports water resource decision makers and I hope that my work promotes environmental justice whenever possible.
Professional Experience
Hydrologist, U.S. Geological Survey, South Atlantic Water Science Center, 2018-present
Education and Certifications
Ph.D. Biological & Agricultural Engineering, North Carolina State University, 2019
M.Eng. Biological & Agricultural Engineering, North Carolina State University, 2016
B.S. Civil Engineering, Drexel University, 2014
Science and Products
Raleigh Bank Erosion Project
North Carolina Sustainable Rivers Program
Ft. Gordon, Georgia, Stormwater Assessment
Understanding the Effects of Stormwater Management Practices on Water Quality and Flow
Monitoring water-quality and geomorphology in the French Broad River during I-26 construction
Urban Waters Federal Partnership: Walnut Creek, Raleigh, North Carolina
Water, Water Everywhere: Adapting Water Control Operations and Floodplain Conservation Planning to Global Change
Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Delmarva Peninsula of Delaware, Maryland, and Virginia, 2022
Predictions of specific conductance and departures from background specific conductance in the Chesapeake Bay watershed, 2001-2016
Topographic datasets compiled for the Lower Roanoke River corridor in 2003, 2014, and 2020, North Carolina
Drainage network for the Greater Raleigh Area, North Carolina, 2015-2022
Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Shenandoah Valley region of West Virginia and Virginia, 2021
Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina
Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022
Data and Code for Predicting Flood Damage Probability Across the Conterminous United States
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
Predictive modeling reveals elevated conductivity relative to background levels in freshwater tributaries within the Chesapeake Bay watershed, USA
Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)
Predicting inundation dynamics and hydroperiods of small, isolated wetlands using a machine learning approach
Closing the gap on wicked urban stream restoration problems: A framework to integrate science and community values
Lessons learned from 20 y of monitoring suburban development with distributed stormwater management in Clarksburg, Maryland, USA
Predicting flood damage probability across the conterminous United States
Evaluation of two existing flood management structures in U.S. Army Garrison Fort Gordon, Georgia, 2020
Science and Products
Raleigh Bank Erosion Project
North Carolina Sustainable Rivers Program
Ft. Gordon, Georgia, Stormwater Assessment
Understanding the Effects of Stormwater Management Practices on Water Quality and Flow
Monitoring water-quality and geomorphology in the French Broad River during I-26 construction
Urban Waters Federal Partnership: Walnut Creek, Raleigh, North Carolina
Water, Water Everywhere: Adapting Water Control Operations and Floodplain Conservation Planning to Global Change
Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Delmarva Peninsula of Delaware, Maryland, and Virginia, 2022
Predictions of specific conductance and departures from background specific conductance in the Chesapeake Bay watershed, 2001-2016
Topographic datasets compiled for the Lower Roanoke River corridor in 2003, 2014, and 2020, North Carolina
Drainage network for the Greater Raleigh Area, North Carolina, 2015-2022
Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Shenandoah Valley region of West Virginia and Virginia, 2021
Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina
Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022
Data and Code for Predicting Flood Damage Probability Across the Conterminous United States
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