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A hydro-economic model was developed by coupling a three-dimensional groundwater flow model of the Harney Basin, southeastern Oregon (using MODFLOW 6) with a hedonic agricultural economic model. The hydro-economic model was used to investigate a set of hypothetical future scenarios having different groundwater pumpage conditions. The model looked at conditions 30 years beyond the 2018 conditions at the end of the HBGM transient simulation. This USGS data release contains all of the input and output files and needed Python scripts and JuPyter Notebooks for the simulations described in the associated journal article (https://doi.org/10.1029/2024WRXXXX)
Categories: Data Release - In Progress;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Burns,
Groundwater Model,
Harney Basin,
Harney County,
InlandWaters,
The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report (https://doi.org/10.3133/sir20241518)
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Burns,
Groundwater Model,
Harney Basin,
Harney County,
Harney Lake,
This dataset is associated with a USGS publication "Assessment of Undiscovered Oil and Gas Resources in the Eagle Ford Group and Associated Cenomanian-Turonian Strata, U.S. Gulf Coast, Texas, 2018" and summarizes data generated by the author for the publication using IHS Harmony DeclinePlus software. Data includes average estimated ultimate recoveries per square mile for three continuous oil assessment units with location information. Data is derived from IHS Markit data. No proprietary information is contained in this release.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Energy Resources,
Texas-Gulf,
USGS Science Data Catalog (SDC),
estimated ultimate recovery,
geoscientificInformation
This dataset is a 30-meter resolution national-scale raster of estimated subsurface tile drainage extent based on early 1990s county areas of subsurface tile drains and geospatial datasets of cropland and poorly drained soil. Specifically, it was developed using 1) county-level acres of subsurface tile drain extents from Sugg (2007); 2) the extent of cultivated cropland from the National Land Cover Database (NLCD) 2011; 3) the extent of poorly drained soil from the State Soil Geographic (STATSGO) database Version 2; 4) the extent of federally-owned land, and 5) county administrative boundaries. Sugg's (2007) area of subsurface tile drains within each county was evenly allocated to potentially drained land -- cropland...
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