[Keyword='VOLATILE ORGANIC COMPOUNDS']
Apalachicola-Chatahoochee Flint River Basin Ground Water DataEntry ID: usgs_nawqa_acfriver_groundwater
Abstract: Surface- and ground-water quality data were collected in the
Apalachicola-Chattahoochee-Flint (ACF) River basin from August 1992 to
September 1995 as part of the USGS National Water Quality Assessment
(NAWQA) program described below. The ACF River basin drains about
19,800 square miles in western Georgia, eastern Alabama, and the
Florida panhandle into the Apalachicola Bay, which discharges into ... the
Gulf of Mexico. Data collected as part of this study focused on five
major land uses: poultry production in the headwaters of the
Chattahoochee River, urban and suburban areas of Metropolitan Atlanta
and Columbus, silviculture in the piedmont and fall line hills, and
row crop agriculture in the upper coastal plain (clastic hydrogeologic
setting) and the lower coastal plain (karst hydrogeologic setting).
This description is for the ground-water data. Data for the
ground-water component of the ACF River basin study were collected as
part of three studies: Study Unit Survey, Land Use Studies (Urban and
Agriculture) and Agricultural flow system study. The data are grouped
by study component and site type (wells, springs, drains, and pore
water) and are subdivided into sets of data consisting of related
constituents. A complete list of constituent names and MRL's are
The user can view and retrieve these ground-water data sets:
Field measurements, Nutrients, Organic carbon, Turbidity, Major Ions,
Pesticides, Trace elements (collected as part of the Study Unit Survey
and Urban Landuse only), Volatile organic compounds, Radionuclides and
Ground-water quality data were collected at 161 sites within the ACF
River basin. These sites included a combination of monitoring and
domestic wells, springs and seeps, and subsurface drains. The data are
concentrated in the Metropolitan Atlanta (urban land use) area and in
the coastal plain (agricultural land use).
These data and associated locator maps are accessible on the World
Wide Web at the ACF NAWQA home page. Data are presented in manageable
tables that are grouped based on land use, site type, and project
component. The user can view maps and data tables on the computer
screen, or downloaded data tables as tab delimited (RDB) files.
Data collected as part of the ACF River basin study are presented by
project component: surface-water, ground-water, special studies,
streamflow, ancillary, and quality assurance data. The water-quality
data are presented by major headings, including water-column,
bed-sediment and tissue, and biological. The data are further
subdivided into data sets consisting of related constituents. Data
tables can be viewed on the users computer screen or retrieved to a
users computer as a tab delimited Relational Data Base (RDB) file. To
reduce the size of the pesticide, volatile organic compound, bed
sediment and tissue, and trace element tables, only those compounds
found equal to, or above the minimum reporting limit (MRL) for one or
more sites within a group, are shown. The remaining compounds were not
detected. A complete list of constituent names and MRL's are
The National Water-Quality Assessment (NAWQA) Program of the
U.S. Geological Survey (USGS) is designed to describe the status and
trends in the quality of the Nation's ground- and surface-water
resources and to provide a sound understanding of the natural and
human factors that affect the quality of these resources (Leahy and
others, 1990). Because much of the public concern over water quality
stems from a desire to protect both human health and aquatic life, the
NAWQA Program will, in addition to measuring physical and chemical
indicators of water-quality, assess the status of aquatic life through
surveys of fish, invertebrates, and benthic algae, and habitat
conditions (National Research Council, 1990). As an integrated
assessment of water quality incorporating physical, chemical, and
biological components, the NAWQA Program is ecological in approach.
(Click for Interactive Map)
Data Set Citation
Dataset Originator/Creator: J.W. Garrett, H.A. Perlman, and J.D. Scholz
Dataset Title: Apalachicola-Chatahoochee Flint River Basin Ground Water Data
Dataset Release Date: 1995
Dataset Release Place: Georgia
Dataset Publisher: U.S. Geological SurveyOnline Resource: http://ga.water.usgs.gov/nawqa/data.gw.html
Start Date: 1992-08-01Stop Date: 1995-09-01
AGRICULTURE > AGRICULTURAL CHEMICALS > PESTICIDES
TERRESTRIAL HYDROSPHERE > GROUND WATER > AQUIFERS
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > ALKALINITY
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > NITRATE
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > PHOSPHORUS
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > ORGANIC MATTER > VOLATILE ORGANIC COMPOUND (VOC)
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > OXYGEN
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > PH
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > RADIOISOTOPES
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > STABLE ISOTOPES
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > TRACE METALS
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER TEMPERATURE
ISO Topic Category
Access Constraints These data are available for download from the provided URL.
Use Constraints This data set conforms to the PICCCBY Attribution License
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=law_dome... when using these data.
Data Set Progress
Distribution Media: FTP
Distribution Size: 0.5 - 10.0 MB
Distribution Format: GeoTIFF
Distribution Media: FTP
Distribution Size: 0.5 - 10.0 MB
Distribution Format: HDF-EOS
National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) Mail stop 614.1
Province or State: MD
Postal Code: 20771
Email: vincent.salomonson at utah.edu
University of Utah Department of Meteorology 135 S 1460 E, Rm 809
City: Salt Lake City
Province or State: UT
Postal Code: 84112
Email: George.A.Riggs at nasa.gov
NASA Goddard Space Flight Center (GSFC) Science Systems and Applications, Inc. Code 614.1
Province or State: MD
Postal Code: 20771
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
Diner, D.J., J.V. Martonchik, C. Borel, S.A.W. Gerstl, H.R. Gordon, Y. Knyazikhin, R. Myneni, B. Pinty, and M.M. Verstraete. 1999. MISR Level-2 surface retrieval algorithm theoretical basis document. Pasadena, CA: Jet Propulsion Laboratory.
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight ... Center.
Hall, D.K., G.A. Riggs, and V.V. Salomonson. September 2001a. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center.
Hall, D.K., G.A. Riggs, V.V. Salomonson, N.E. DiGirolamo, and K.J. Bayr. 2002. MODIS snow-cover products. Remote Sensing of the Environment 83: 181-194. Hall, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
Hall, D.K., J.L. Foster, D.L. Verbyla, A.G. Klein, and C.S. Benson. 1998. Assessment of snow cover mapping ac
curacy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66: 129-137.
Hall, D.K., J.L. Foster, V.V. Salomonson, A.G. Klein, and J.Y.L. Chien. 2001b. Development of a technique to assess snow-cover mapping accuracy from space. IEEE Transactions on Geoscience and Remote Sensing 39(2): 232-238.
Hall, D.K., G.A. Riggs. 2006. Assessment of errors in the MODIS suite of snow-cover products. Hydrological Processes, in press.
Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press. Klein, A. MODIS Snow Albedo Prototype. 2003.
Klein, A.G., and J. Stroeve. 2002. Development and validation of a snow albedo algorithm for the MODIS instrument. Annals of Glaciology 34: 45-52.
Klein, A.G., D.K. Hall, and G.A. Riggs. 1998. Improving snow-cover mapping in forests through the use of a canopy reflectance model. Hydrologic Processes 12(10-11): 1723-1744.
Markham, B.L. and J.L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8.
MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN.
Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, G.A., D.K. Hall, and V.V. Salomonson. January 2006. MODIS snow products user guide for collection 4 data products.
Salomonson, V. and I. Appel. 2006. Development of the Aqua MODIS NDSI Fractional Snow Cover Algorithm and Validation Results. Transactions on Geoscience and Remote Sensing 44(7):1747-1756.
Salomonson, V. and I. Appel. 2004. Estimating fractional snow cover from MODIS using the normalized difference snow index (NDSI). Remote Sensing of the Environment 89:351-360.
Wiscombe, W.J. and S.G. Warren. 1980. A model for the spectral albedo of snow I: pure snow. Journal of the Atmospheric Sciences 37: 2712-2733.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2006-11-09
Last DIF Revision Date: 2012-05-04
Future DIF Review Date: 2008-09-01