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This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ASCII,
Arkansas,
Bella Vista,
Hydrology,
Missouri,
These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...
The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater...
Categories: Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration,
These data are a summary of modeled exposure of various lifeline infrastructure linear features and facilities (transportation, water supply and wastewater, oil and gas, electric power, and telecommunications) to potential hazards resulting from the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. Existing hazard data (surface offset, ground shaking (mainshock and aftershocks), landslide, liquefaction, and fire following earthquake) were looked at alone and in combination with each other relative to the lifeline infrastructure linear features and facilities to provide estimates of potential exposure to various...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
HayWired,
San Francisco Bay area,
aftershocks,
earthquakes,
The surface disturbance footprint raster data set quantifies the percent surface disturbance from development at a 90-meter resolution. The surface disturbance footprint is used to compute a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach. The surface disturbance footprint is mapped for the western United States (17 states), by compiling and combining spatial data for four development disturbance variable classes. Development classes include urban land cover (impervious surface), agriculture (cropland), energy and mineral extraction and transport (oil and gas wells, solar arrays, wind turbines, surface mines, pipelines, and transmission lines), and transportation...
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
This USGS data release is intended to provide a baselayer of information on likely stream crossings throughout the United States. The geopackage provides likely crossings of infrastructure and streams and provides observed information that helps validate modeled crossings and build knowledge about associated conditions through time (e.g. crossing type, crossing condition). Stream crossings were developed by intersecting the 2020 United States Census Bureau Topologically Integrated Geographic Encoding and Referencing (TIGER) U.S. road lines with the National Hydrography Dataset High Resolution flowlines. The current version of this data release specifically focuses on road stream crossings (i.e. TIGER2020 Roads)...
The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration,
In 2022, the U.S. Geological Survey (USGS) in cooperation with the New Hampshire Department of Transportation (NHDOT) made 107 horizontal-to-vertical spectral ratio (HVSR) passive seismic geophysical measurements at four transportation infrastructure sites in New Hampshire to determine the benefits of HVSR as an enhancement to traditional geotechnical site characterizations performed by NHDOT. Typically, data are obtained from the subsurface during borings to characterize geotechnical properties but often borings are spaced hundreds of feet apart. Geotechnical site characterization guided by geophysical surveys (such as the HVSR method) between borings will help provide a more thorough characterization. By combining...
Categories: Data;
Tags: Canterbury, NH,
Geophysics,
Geophysics,
Groundwater,
Horizontal-to-Vertical Spectral Ratio (HVSR) Seismic,
This data release documents the location of intersections between roads and streams, referred to as road crossings, and associated basin characteristics to support highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model (SELDM, Granato, 2013) in Connecticut, Massachusetts, and Rhode Island. The data set of road crossings was generated from the intersections of the U.S. Geological Survey (USGS) National Transportation Dataset (roads) and the StreamStats modified National Hydrography Dataset (streams) and in addition to the three-state study area, includes areas of New York, Vermont, and New Hampshire that are within drainages that cover the three states. Pertinent basin characteristics...
This dataset includes ten years of emissions and sequestration estimates (2005-2014) in two separate tables, 1) the combustion and extraction of fossil fuels on Federal lands and 2) processes from the ecosystems on those Federal lands. The fossil fuel related estimates include the greenhouse gases carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and the ecosystems estimates include only CO2. The results are presented by State and year, including the Pacific and Gulf offshore areas in the fossil fuel associated estimates. In addition to total emissions, the estimates are broken into categories by the sector of the economy where the combustion or extraction related emissions occurred or the biologic process...
Categories: Data;
Tags: Climatology,
Energy Resources,
Environmental Health,
USGS Science Data Catalog (SDC),
United States of America,
The "Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window" raster dataset quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and roads and railroads) for all lands in Colorado. The terrestrial development index (TDI) represents the total percentage of the estimated surface disturbance footprint from development within a 5-kilometer (km) radius moving window. The TDI scores range from 0 to 100 percent. Methods are described in the companion report (see "Larger Work" section).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
TDI,
agriculture,
development,
energy resources,
This is release 1.0 of the Selective Drainage Toolbox. These tools are designed to be accessed using ArcGIS Desktop software (versions 9.3.1 to 10.4.1). The toolbox is composed of a collection of custom tools that implement geographic information system (GIS) techniques that can be used to identify and enforce drainage hydro features in digital elevation models- with a specific applicability to high- resolution elevation models derived from light detection and ranging (lidar) data.
This data release contains files that are associated with the publication "Understanding and predicting iron fouling associated with drainage from roadway sites constructed with rock-fill in New Hampshire, USA". Each zipped file contains a data table or raster file and an associated metadata file. IronFoulingCutFillData.zip contains a .csv file and .xml metadata file related to the roadcut and rock-fill locations used to develop a statistical model to predict the probability of iron fouling at roadway sites constructed with rock-fill in New Hampshire. Water_Quality_Measurements.zip contains a .csv file and .xml metadata file for water quality field measurements made at drainage areas from a subset of the rock-fill...
The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and...
Categories: Data;
Tags: Anthropocene (Temporal),
North Carolina,
Stochastic Empirical Loading and Dilution Model,
StreamStats,
StreamStatsDB,
The Terrestrial Development Index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 2.5 kilometer (km) radius circular moving window. The TDI scores range from 0-100%. The TDI scores between 0-1% represent areas with few roads or a very low density of oil and gas wells. The TDI scores between 1-3% often include low densities of oil and gas wells and roads, whereas development index scores above 3% represent moderate to high levels of development, including relatively large oil and gas fields, surface mines, agricultural fields, centers of urban development,...
Alterations to stream hydrology, which include changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Science Center datasets are proxy measurements of the extent of altered hydrology in riverine systems across the State of North Carolina. The datasets consist of an inventory and characterization of small scale (mostly agricultural) ponds and artificial drainages, which are both significant hydrologic modifications in the...
The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component...
Categories: Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Event Mean Concentration,
Federal Highway Administration,
Highway-Runoff Database,
Hydrology,
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
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