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Folders: ROOT > ScienceBase Catalog > National Water Census ( Show direct descendants )
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Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
This part of the data release contains the water-level measurement data compiled and synthesized from various sources. This collection includes two tables that contain all the water-level measurements that were considered to develop the water-level altitude maps (Input_VisGWDB), and a table of median water-level data that were used to develop the water-level altitude maps (MedianWaterLevelData). These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level Altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande Focus Area Study, Colorado, New Mexico, and...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Abiquiu Reservoir,
Ahumada,
Alamosa,
Alamosa County,
Alamosa Creek,
The U.S. Geological Survey (USGS) developed models to estimate plant-level thermoelectric water use based on linked heat-and-water budgets to provide a consistent method for water-use estimation across the fleet of U.S. thermoelectric plants. In addition to calculating a thermodynamic “best” estimate for each powerplant, the models also calculate plausible ranges of minimum and maximum withdrawal and consumption. Historically, there have been two federal sources for thermoelectric water use information. The Department of Energy's Energy Information Administration (EIA) publishes annual thermoelectric water withdrawal and consumption data based on plant operator-reported surveys. The USGS has published water-use...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
consumptive water use,
groundwater,
hydrology,
power generation water use,
This dataset presents the total monthly water withdrawal and consumption estimates for surface-water and groundwater sourced utility-scale thermoelectric power plants by 12-digit hydrologic unit code (HUC12) in the United States for 2015. The water withdrawal and consumption estimate methods and data are published in USGS Scientific Investigations Report 2019-5103 "Withdrawal and Consumption of Water by Thermoelectric Power Plants in the United States, 2015" available at https://doi.org/10.3133/sir20195103. The data release described by this metadata documents the summation of the monthly water withdrawal and consumption estimates by the HUC12 in which the facilities reside. These monthly estimates by HUC12 support...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USA,
USGS Science Data Catalog (SDC),
Water Resources,
groundwater,
hydrology,
This data release supports the study by Sexstone and others (2020) and contains simulation output from SnowModel (Liston and Elder, 2006), a well-validated process-based snow modeling system. Simulations are for water years 1984 through 2017 (October 1, 1983 through September 30, 2017) across a 11,200 square kilometer model domain in the San Juan Mountains of southwestern Colorado, United States that encompasses the Rio Grande Basin headwaters (HUC8 13010001). This data release also contains supporting field-based snow and meteorological station observations collected within the model domain during water years 2016 and 2017 that were used to evaluate SnowModel simulations. Sexstone and others (2020) provide details...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Rio Grande headwaters,
USGS Science Data Catalog (SDC),
Upper Rio Grande,
climatology,
This data release describes water service areas (WSA) for community water systems (CWS) within the conterminous United States, representing areas of active service between 2010 and 2020. A WSA is defined by a delineated polygon that contains all customers served by a water system. WSAs are represented by an ArcGIS shapefile. The U.S. Safe Drinking Water Act defines a CWS as a type of public-water system that serves at least 15 service connections used by year-round residents or regularly serves at least 25 year-round residents. Water may be used for several purposes (such as for commercial, industrial, and residential uses) or may be used only for one specific purpose (such as for residential use). This data release...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geography,
Hydrology,
USGS Science Data Catalog (SDC),
Water Resources
The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Sub-title F of the law, also known as the SECURE (Science and Engineering to Comprehensively Understand and Responsibly Enhance) Water Act, calls for the establishment of a “national water availability and use assessment program” in the U.S. Geological Survey (USGS). The recommendation for a national assessment of the available water resources was driven by the lack of such an assessment since 1978. In fulfillment of the Act, the USGS developed the National Water Census (NWC), under the auspices of the USGS Water Availability and Use Program, and as part of that activity, among others, collected water withdrawal...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Mexico,
New Mexico,
Rio Grande,
Rio Grande Basin,
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