Folders: ROOT > ScienceBase Catalog > National Water Census > National Water Use Program ( Show direct descendants )
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An inventory of facilities that bottle water or other beverages containing water (including soft drinks, beer, wine, or spirits) or that manufacture ice was compiled by combining available datasets from multiple sources. This water bottling inventory dataset includes facilities within all 50 states of the United States, one federal district (Washington, District of Columbia), and three territories (Guam, Puerto Rico, and Virgin Islands). The inventory focuses on presently active facilities in 2023. Most closed water bottling facilities are not included; however, facilities identified as being a former production site (meaning the facility is still active but the business function has changed) or as closed during...
The U.S. Geological Survey (USGS) Water Use program, responding to directives in Section 9508 of the SECURE Water Act of 2009, provides improved water use data collection techniques as well as development of estimation methods and development and application of water use models to improve reporting of water withdrawal and consumptive use information for 8 categories of use (public supply, domestic, irrigation, thermoelectric power, self-supplied industrial, mining, livestock, and aquaculture). The Water Use program has been strategically designed to achieve multiple objectives in the USGS Water Mission Area (WMA) Strategic Science Plan, including Goal 2, Objective 2.4 - Develop a comprehensive understanding of human...
Aquaculture water use is water associated with raising organisms that live in water—such as finfish and shellfish—for food, restoration, conservation, or sport. Aquaculture production occurs under controlled feeding, sanitation, and harvesting procedures primarily in ponds, flowthrough raceways, and, to a lesser extent, cages, net pens, and closed-recirculation tanks.
National watershed boundary (HUC12) dataset for the conterminous United States, retrieved 10/26/2020
This child item provides a snapshot of the watershed boundary dataset which consists of a shapefile with 87,020 12-digit hydrologic unit codes (HUC12) for the conterminous United States retrieved 10/26/2020. The National Watershed Boundary Dataset (WBD) is a comprehensive set of digital spatial data that represents the surface drainages areas of the United States. Although versions of the WBD are published as part of U.S. Geological Survey National Hydrography Products, the version used to produce the water-use reanalysis was not archived and is provided here. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Public-supply...
This child item describes Python code used to retrieve gridMET climate data for a specific area and time period. Climate data were retrieved for public-supply water service areas, but the climate data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the climate data collector code were used as input feature variables in the public supply delivery and water use machine learning models. This page includes the following file: climate_data_collector.zip - a zip file containing the climate data collector Python code used to retrieve...
This child item describes R code used to determine public supply consumptive use estimates. Consumptive use was estimated by scaling an assumed fraction of deliveries used for outdoor irrigation by spatially explicit estimates of evaporative demand using estimated domestic and commercial, industrial, and institutional deliveries from the public supply delivery machine learning model child item. This method scales public supply water service area outdoor water use by the relationship between service area gross reference evapotranspiration provided by GridMET and annual continental U.S. (CONUS) growing season maximum evapotranspiration. This relationship to climate at the CONUS scale could result in over- or under-estimation...
Livestock water use is water associated with livestock watering, feedlots, dairy operations, and other on-farm needs. Livestock includes dairy cows and heifers, beef cattle and calves, sheep and lambs, goats, hogs and pigs, horses, and poultry. Other livestock water uses include cooling of facilities for the animals and products, dairy sanitation and wash down of facilities, animal waste-disposal systems, and incidental water losses. The livestock category excludes on-farm domestic use, lawn and garden watering, and irrigation water use.
This child item describes a machine learning model that was developed to estimate public-supply water use by water service area (WSA) boundary and 12-digit hydrologic unit code (HUC12) for the conterminous United States. This model was used to develop an annual and monthly reanalysis of public supply water use for the period 2000-2020. This data release contains model input feature datasets, python codes used to develop and train the water use machine learning model, and output water use predictions by HUC12 and WSA. Public supply water use estimates and statistics files for HUC12s are available on this child item landing page. Public supply water use estimates and statistics for WSAs are available in public_water_use_model.zip....
This child item describes R code used to determine water source fractions (groundwater (GW), surface water (SW), or spring (SP)) for public-supply water service areas, counties, and 12-digit hydrologic unit codes (HUC12) using information from a proprietary dataset from the U.S. Environmental Protection Agency. Water-use volumes per source were not available from public-supply systems so water source fractions were calculated by the number of withdrawal source types (GW/SW). For example, for a public supply system with three SW intakes and one GW well, the fractions would be 0.75 SW and 0.25 GW. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic...
Irrigation water use is the second largest category for total withdrawals and the first largest category for consumption in the United States. Irrigation withdrawals are typically estimated nationally using sparse site-specific data that is collected and estimated using many different approaches. Nationally consistent approaches have been developed to estimate actual evapotranspiration (ETa) by vegetation, however, methods for converting ETa into irrigation withdrawals are not well developed. Because irrigation water is often transported over large distances and originates from many different sources, considering only the consumptive use part of irrigation water use is often not enough information for managing water...
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