Hydrologist
South Atlantic Water Science Center
Email:
cstillwell@usgs.gov
Office Phone:
919-571-4018
ORCID:
0000-0002-4571-4897
Location
Geological Surv Bldg
3916 Sunset Ridge Road
Raleigh
, NC
27607
US
Supervisor:
Stephen L Harden
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
North Carolina,
Raleigh,
Remote Sensing, All tags...
USGS Science Data Catalog (SDC),
Upper Neuse,
Wake,
Water Quality,
environment,
erosion,
geography,
geomorphology,
geomorphon,
geoscientificInformation,
geospatial analysis,
geospatial datasets,
hydrology,
land surface characteristics,
lidar,
positive openness,
topography, Fewer tags
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Geomorphology,
Geomorphology,
Hydrology,
Land Use Change,
Raleigh, North Carolina, All tags...
Sedimentology,
Soil Sciences,
Streambank stability,
USGS Science Data Catalog (SDC),
Wake County, North Carolina,
Water Quality,
Water Resources, Fewer tags
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This data release contains the associated data described in the related primary publication, “Predicting Flood Damage Probability Across the Conterminous United States” (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis.
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Rasters of positive openness and positive openness difference in the Greater Raleigh, NC Area based on 1-meter high-resolution lidar-derived digital elevation models (DEMs). This dataset contains positive openness rasters for 2013, 2015, and 2022 and one positive openness difference raster. The positive openness difference raster represents the difference in positive openness values between the years 2015 and 2022. The 2015 and 2022 positive openness rasters were selected for differencing because of the superior quality level (QL2) of base lidar data used to develop the positive openness rasters compared with the poorer quality level (QL3) of base lidar data used to develop the 2013 positive openness raster. Positive...
Tags: North Carolina,
Raleigh,
Upper Neuse,
Wake,
environment, All tags...
erosion,
geography,
geomorphology,
geoscientificInformation,
geospatial analysis,
geospatial datasets,
hydrology,
land surface characteristics,
lidar,
positive openness,
topography, Fewer tags
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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 pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Blue Ridge,
Coastal Plain,
Event Mean Concentration,
Federal Highway Administration, All tags...
Highway runoff,
Highway-Runoff Database,
Hydrology,
North Carolina,
Piedmont,
Runoff,
SELDM,
State Highway,
Stochastic Empirical Loading and Dilution Model,
Stormwater,
Streamflow,
USGS Science Data Catalog (SDC),
United States,
Urban Runoff,
Water Quality,
Water Quality,
Water Resources,
Water Resources,
chemical constituents,
environment,
highways and roads,
physical constituents,
stormwater,
transportation, Fewer tags
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