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The U.S. Geological Survey (USGS) installed acoustic bedload monitoring systems at four sites along the Trinity River below Lewiston Dam to record the noise generated by mobilized bed material, known as sediment generated noise (SGN) (Geay and others, 2017). The four sites are: Trinity River at Lewiston (TRAL, 11525500), Trinity River above Grass Valley Creek (TRGVC, 11525630), Trinity River at Limekiln Gulch (TRLG, 11525655) and Trinity River at Douglas City (TRDC, 11525854). These sites were selected because bedload measurements are frequently made at these locations during restoration flows as part of monitoring done by the Trinity River Restoration Program (TRRP). Monitoring took place in the spring of 2015,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Trinity River,
acoustic methods,
bedload monitoring,
environment,
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available years described in the metadata for the Mississippi River Valley alluvial aquifer (MRVA). The MRVA is the surficial aquifer of the Mississippi Alluvial Plain (MAP), located in the south-central United States. Employing two machine-learning techniques offered the opportunity to generate model and statistical error and covariance between them to estimate total uncertainty. Potentiometric surface predictions were made at the 1-kilometer grid scale using the National Hydrogeologic Grid (Clark and others, 2018). For a full description...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
This dataset consists of annual raster maps of ecosystem carbon stocks, land use and land cover classes, and transition probabilities for the State of California during historical (1985-2020) and projected future (2021-2100) time periods. Data are simulation model output from the The Land Use and Carbon Simulator (LUCAS; Sleeter et al. 2022) run under different climate and land management scenarios. LUCAS model simulations were conducted on an annual timestep at 1-km spatial resolution with 40 Monte Carlo realizations per simulation. For the projected future time period, the model was run under all combinations of four climate scenarios, two urbanization scenarios, and two vegetation management scenarios. The climate...
The karstic Edwards and Trinity aquifers are classified as major sources of water in south-central Texas by the Texas Water Development Board, and both are classified as major aquifers by the State of Texas. The Edwards and Trinity aquifers developed because of the original depositional history of the carbonate limestone and dolomite rocks that contain them, and the primary and secondary porosity, diagenesis, fracturing, and faulting that modified the porosity, permeability, and transmissivity of each aquifer and of the geologic units separating the aquifers. Previous studies such as those by the U.S. Geological Survey (USGS) and the Edwards Aquifer Authority (EAA) have mapped the geology, hydrostratigraphy, and...
The Massachusetts Drought Management Plan (DMP, 2023) uses data from select lake and impoundment systems as an index for drought in six of seven regions in the state. The contents of these lakes and impoundments are reported to Massachusetts Department of Conservation and Recreation (DCR) and classified as one of five levels for drought severity ranging from level 0 (Normal; percentile greater than 30) to level 4 (Emergency; percentile less than 2). Lake and impoundment system data are provided at the end of each month to DCR through multiple agencies as lake levels, volumes, or percent-full (reservoir capacity). USGS reviewed data from 14 of the lake or impoundment systems including 28 waterbodies. Diagrams for...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aaron River Reservoir,
Ashley Lake,
Ashumet Pond,
Assawompset Pond,
Birch Pond,
Subaerial and submarine landslides adjacent to, and within, Glacier Bay, Glacier Bay National Park and Preserve (GBNPP), Alaska pose a threat to the public because of their potential to generate ocean waves that could impact marine activities. Although historical records of tsunamis generated by landslides in GBNPP are uncommon, there are records that document the destructive power of at least three landslide-generated tsunamis in Lituya Bay on the west side of the park (Miller, 1960; Fritz, 2001). Additionally, the threat of a rapid failure of a slow-moving subaerial bedrock landslide in Tidal Inlet off the West Arm of Glacier Bay has drawn attention because of its tsunamigenic potential that could affect boat...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Alaska,
East Arm,
GHSC,
Geologic Hazards Science Center,
This data release comprises the tabular data used to develop regression equations for estimating selected low-flow statistics for ungaged streams in Ohio that are not substantially affected by regulation, diversions, or other anthropogenic influences, and the geographic information systems (GIS) layer to implement them in the U.S. Geological Survey StreamStats application (https://streamstats.usgs.gov). A statewide recharge-based estimate of streamflow variability index (SVI) was used as an explanatory variable in developing many of the equations to estimate selected low-flow statistics at ungaged sites in Ohio and is included as part of this data release. Regressions, using SVI as the explanatory variable, were...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ohio,
USGS Science Data Catalog (SDC),
Water Resources,
aquatic ecosystems,
ecosystems,
The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizations of fire risk. Some of the assessments may be useful for communicating contributions toward risk reduction of treatments funded by DOI, including investments under BIL. For each assessment, the inventory provides a description and information about the spatial extent, resolution, fire modeling approach, values considered...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
biota,
risk and hazard assessment,
wildfire,
wildland fire
This polygon dataset represents the tidal water shoreline of the Chesapeake Bay and its tributaries. It is based primarily on shoreline data with horizontal positional accuracy of +/- 2meters provided by the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM), with minor modifications in seven locations. In six instances, the modifications were made using the National Oceanic and Atmospheric Administration's (NOAA) zero-foot sea level rise dataset, which represent mean higher high tide. In one instance, a modification was made using the Chesapeake Bay Program Modified Watershed Boundary layer. These modifications were as follows: - Added the Delaware portion of the tidal Nanticoke...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
Geography,
Hydrology,
USGS Science Data Catalog (SDC),
shore,
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