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Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff 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...
High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017
In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison...
Data Compilation for Hydrologic and Inundation Analysis for Clark County, South Dakota, U.S.A. Data Compilation for Hydrologic and Inundation Analysis for Clark County, South Dakota, U.S.A.
This data release is a collection of hydrologic characteristics of groundwater and surface water of selected lakes (Dry Lake #1 and #2, and Antelope Lake) within Clark County, South Dakota. The compiled data was broken into two parts, Reports and Maps, and GIS Data. The Reports and Maps dataset contains PDF reports, maps, and logs for aquifers, lake bathymetry, lithology, and observation...
High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019 High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019
In May 2019, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data near six seismic network recording stations in San Bernardino County, California: Southern California Seismic Network CI.CLT Calelectic, CI.MLS Mira Loma, CI.CJM Cajon Mountain and CI.HLN Highland; California Strong Motion Instrumentation Program station CE.23542; and US National Strong-Motion...
Forest Structure Data for Burned and Unburned Sites at Sequoia and Kings Canyon National Parks Forest Structure Data for Burned and Unburned Sites at Sequoia and Kings Canyon National Parks
These data represent tree diameter, species, mortality status, and plot attributes from 164 plots in Sequoia and Kings Canyon national parks, California. Plots were matched with local records of recent fire history to determine burn status and year burned if applicable. These data support the following publication: van Mantgem, P.J., Caprio, A.C., Stephenson, N.L. and Das, A.J., 2021...
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts. USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic...