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            <abstract>The U.S. Geological Survey, in cooperation with the Utah Department of Natural Resources, Division of Wildlife Resources, collected bathymetric data for the south part of Great Salt Lake during 2002-04 using a single-beam, high-definition fathometer and real-time differential global positioning system. About 7.6 million depth measurements were collected along more than 930 miles (1,690 kilometers) of survey transects. Sound-velocity profiles were obtained in conjunction with the bathymetric data to provide time-of-travel corrections to the depth calculations. Data were processed with commercial hydrographic software and exported into geographic information system (GIS) software for mapping and calculation of area and volume. Area and volume calculations show a maximum area of about 508,000 acres (2,056 square kilometers) and a maximum volume of about 9,257,000 acre-feet (11.42 cubic kilometers) at a water-surface altitude of 4,200 feet (1,280 meters). Minimum water-surface altitude of the south part of Great Salt Lake is just below 4,167 feet (1,279 meters) in the area just south of the Union Pacific railroad causeway halfway between Promontory Point and the western edge of the lake. At this altitude, and continuing up to about 4,176 feet (1,279 meters), the south part of the lake is separated into two areas by a ridge extending from Promontory Point to Hat Island. These data have been published in Baskin, R.L., and Allen, D.V., 2005, Bathymetric map of the south part of Great Salt Lake, Utah: U.S. Geological Survey Scientific Investigations Map 2894, published online at http://pubs.usgs.gov/sims/2005/2894/.  Supplemental information can be found in Baskin, R.L., 2005, Calculation of area and volume for the south part of Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2005–1327, available online at http://pubs.usgs.gov/of/2005/1327/.</abstract>
            <purpose>These data were collected to better define the physical characteristics of the south part of the lake, define the areal extent of a deep high-density brine layer, provide data for improved calculation of area and volume, and provide lake-bottom contour information that could be used in developing a general circulation model of the lake. This bathymetric study was part of a larger, long-term, multi-discipline, cooperative study designed to (1) define the physical constraints, circulation, and mixing rates of Great Salt Lake; (2) determine the nutrient (nitrogen and phosphorous species) budget of the lake, and (3) quantify the occurrence and distribution of anthropogenic heavy metals, trace elements, and synthetic organic compounds in the lake.</purpose>
            <supplinf>Bathymetric data for the north part of Great Salt Lake can be found in Baskin, Robert L., and Turner, Jane, 2006, Bathymetric map of the north part of Great Salt Lake, Utah: U.S. Geological Survey Scientific Investigations Map 2954, published online at http://pubs.usgs.gov/sim/2006/2954/.  Supplemental information can be found in Baskin, 2006,  Calculation of area and volume for the north part of Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2006-1359, published online at http://pubs.usgs.gov/of/2006/1359/.  Digital data are available at ... citation here...</supplinf>
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                <origin>Baskin, Robert L.</origin>
                <pubdate>September 2007</pubdate>
                <title>Digital bathymetric data for the south part of Great Salt Lake, UT</title>
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                <origin>Allen, David V.</origin>
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                <placekey>Salt Lake City</placekey>
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        <accconst>None - data available for use by public.</accconst>
        <useconst>These data were collected to better define the physical characteristics of the south part of the lake, define the areal extent of a deep high-density brine layer, provide data for improved calculation of area and volume, and provide lake-bottom contour information that could be used in developing a general circulation model of the lake.

These data are not to be used for navigational use.

These data are not intended for use at scales greater than 1:100,000.

    Although this Federal Geographic Data Committee (FGDC) compliant metadata file is intended to document the data set in nonproprietary form this metadata file may include some ArcGIS-specific terminology.</useconst>
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                <attrtype Sync="TRUE">SmallInteger</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">4</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
        </detailed>
        <overview>
            <dsoverv>Digital bathymetric contours for Great Salt Lake, Utah.  See Baskin, R.L., and Allen, D.V., 2005, Bathymetric map of the south part of Great Salt Lake, Utah: U.S. Geological Survey Scientific Investigations Map 2894.  Supplemental information can be found in Baskin, R.L., 2005, Calculation of area and volume for the south part of Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2005–1327, available online at http://pubs.usgs.gov/of/2005/1327/.</dsoverv>
            <eaover>Elevation of lake bottom surface in feet and meters above mean sea level.</eaover>
        </overview>
    </eainfo>
    <mdDateSt Sync="TRUE">20231011</mdDateSt>
    <dataqual>
        <attracc>
            <attraccr>Attribute have been checked.  Original contour data were generated at 1 foot intervals and converted to meters by multiplying by 0.3048.</attraccr>
        </attracc>
        <logic>The logical consistency topologically is clean. Chain-node topology is present.

    Using ArcGIS tools and routines, all lines were checked for node errors, overshoots, undershoots, dangles, intersections, and duplicate features.  Elevation in feet were convereted to meters by multiplying by 0.3048.</logic>
        <complete>Data set is complete.  No additional updates are planned.</complete>
        <posacc>
            <horizpa>
                <horizpar>This database contains source material of widely varying scale.   National Map Accuracy Standards (NMAS) established for the United States in 1947 (U.S. Geological Survey, 1988) state that no more than 10 percent of features shall be more than 1/50th of an inch from their intended location on maps of scale smaller than 1:20,000.  National Standards for Spatial Data Accuracy (NSSDA) published by the Federal Geographic Data Committee (FGDC) in 1998 relate the NMAS to the digital geospatial data standard by multiplying the NMAS accuracy by a factor of 1.1406 resulting in expected error in the geospatial data at standard mapping scales as follows:

        &gt;1:   24,000-scale map -    14 meters
        &gt;1:   62,500-scale map -    36 meters
        &gt;1:  100,000-scale map -    58 meters
        &gt;1:  250,000-scale map -   145 meters
        &gt;1:  500,000-scale map -   290 meters
        &gt;1:1,000,000-scale map -   579 meters

Differentially corrected GPS data were acquired for all data obtained during this study and positional accuracy for the original data is estimated to be 1 meter (3.28 feet) or less.  However, errors resulting from processing of the data can impact the accuracy of data.   Errors resulting from the data proccessing are unknown.  For details of the data collection  process and analysis, please refer to Baskin, R.L., 2005, Calculation of area and volume for the south part of Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2005–1327, published online at http://pubs.usgs.gov/of/2005/1327/</horizpar>
            </horizpa>
            <vertacc>
                <vertaccr>Vertical accuracy of the data is variable due to multiple sources of data. For additional information, please refer to Baskin, R.L., 2005, Calculation of area and volume for the south part of Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2005–1327, published online at http://pubs.usgs.gov/of/2005/1327/</vertaccr>
            </vertacc>
        </posacc>
        <lineage>
            <srcinfo>
                <srctime>
                    <srccurr>publication date</srccurr>
                </srctime>
            </srcinfo>
            <procstep>
                <procdesc Sync="TRUE">Dataset copied.</procdesc>
                <srcused Sync="FALSE">withheld</srcused>
                <date Sync="TRUE">20070817</date>
                <time Sync="TRUE">15034000</time>
            </procstep>
        </lineage>
        <cloud>n/a</cloud>
    </dataqual>
</metadata>