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Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015.

A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and from the combined XYZ dataset, a digital terrain model (DTM) of the lakebed below flood pool elevation 474 feet above the North American Vertical Datum of 1988 (NAVD88) was created. Products derived from the DTM include a digital elevation model (DEM) in GeoTiff format and an Esri file geodatabase containing the XYZ (point) data from the LiDAR and bathymetric surveys, the DTM, a second DEM in Esri GRID format, a feature class of bathymetric contours at 10-ft intervals, storage capacity (volume) of the lake at 1-ft increments in water surface elevation, and a Python script used to compute the storage capacity. References: Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

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Author(s) Daniel M Wagner orcid, Kathryn G. Lee
Publication Date 2017-09-30
Beginning Date of Data 2008-03-05
Ending Date of Data 2015-07-11
Data Contact
DOI https://doi.org/10.5066/F7T72FN4
Citation Wagner, D.M., and Lee, K.G., 2017, Bathymetry and Storage Capacity of DeQueen Lake, Sevier County, Arkansas, 2015.: U.S. Geological Survey data release, https://doi.org/10.5066/F7T72FN4.
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Metadata Date 2020-08-21
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Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-07-24T04:01:55.917Z