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DISCLAIMER
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EXAMPLE of Database Application
The Distribution of Lead
in Gulf of Maine Sediments- Query results from the Contaminated-Sediment
Database
M. Buchholtz ten Brink, E.L. Mecray, F.T. Manheim,
P. Hastings, S. H. Jones, L.G. Ward, P.F. Larsen, B.W. Tripp,
J.W. Farrington, G.T. Wallace, Jr., 1999. The Distribution of
Lead in Gulf of Maine Sediments- Query results from the Contaminanted-Sediment
Database. EOS, Transactions of the American Geophysical Union 1999 Spring
meeting. Vol. 80, No. 17 Supplement, p. S187
BACKGROUND
A database of contaminant measurements in
sediments from the Gulf of Maine region (Fig 1) has been compiled
from the literature with the collaboration and cooperation of
many scientists, agencies, and institutions. The database
contains 1) original data on chemical constituents 2) sample identification
from existing published and gray literature sources, and 3) documentation
about the quality of the data. The data set includes measurement
on samples from grabs and cores that were collected from 1971-1994
and provides a tool for research and environmental management
in the Gulf of Maine.
Bottom sediments
in the Gulf of Maine and its estuaries have accumulated pollutants
of many types and from many sources, including metals and organic
compounds of pesticide, industrial and petroleum derivation.
Patterns of contaminant accumulation on the sea floor reflect
the interaction of the 1) geologic environment (Fig
2) in which sediments are deposited, 2) the sources of contaminants
(e.g., Figs 3a and 3b),
and 3) the sediment and chemical transport process in situ
(Fig 4). Lead (Pb) and copper (Cu) are
common trace metals contaminants in coastal sediments. The database
contains approximately 5000 samples for each (Fig
5). Selective queries and graphical display of the data allow
identification of both regional and local trends for these contaminants
in Gulf of Maine sediments.
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Fig. 1
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DATABASE
PRINCIPLES
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An
edited and verified database of sediment properties and contaminant
concentrations which offers:
1. Cooperative effort between data
compilers and data generators to access the majority of available
data
2. Flat-file format for easily useable software
and computer tools
3. Supporting documentation to direct
the use of the database for all users
4. Search, sort and graphical capabilities for use
as a scientific and interpretive tool
5. Potential for growth as new data
are acquired |
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