

Surface-water quality and flow Modeling Interest Group
Spatially Referenced Regression Modeling of Nutrient Loading in the
Chesapeake Bay Watershed
by Stephen D. Preston1,
Richard A. Smith2,
Gregory E. Schwarz2,
Richard B. Alexander2,
and John W. Brakebill1
1USGS, 8987 Yellow Brick Road, Baltimore, MD 21237
2USGS, 12201 Sunrise Valley Drive, Reston, VA 20192
Please direct correspondence to:
Stephen D. Preston
USGS, Water Resources Division
8987 Yellow Brick Road
Baltimore, MD 21237
Internet: spreston@usgs.gov
Phone: (410) 238-4238
FAX: (410) 238-4210
Editor's note:
An article describing the application of the SPARROW model to nutrient loading
in the Chesapeake Bay watershed was published recently in the proceedings of
the First Federal Interagency Hydrologic Modeling Conference, held in Las
Vegas on April 19-23, 1998.
Citation:
Preston, S.D., Smith, R.A., Schwarz, G.E., Alexander, R.B., and Brakebill,
J.W., 1998, Spatially referenced regression modeling of nutrient loading in
the Chesapeake Bay watershed, in Proceedings of the First Federal
Interagency Hydrologic Modeling Conference, April 19-23, 1998, Las Vegas, NV:
Subcommittee on Hydrology of the Interagency Advisory Committee on Water Data,
p. 1-143 to 1-150.
The full text of this article may be found at the
SPARROW web site,
or directly at
http://water.usgs.gov/nawqa/sparrow/chesbay/ches.html.
A PDF
version of the full article is also available (file size: 3700K).
Abstract
A set of spatially referenced regression models is currently being developed
to relate water quality in the Chesapeake Bay to sources of nutrients in the
watershed and to factors that affect the transport of nutrients to the bay.
Spatially referenced regression modeling is a statistical technique that uses
spatial information to provide nutrient-load predictions that are more
spatially detailed than those provided by other large-scale watershed models.
Two applications of the technique for the determination of total nitrogen in
the Chesapeake Bay watershed are described, including the estimation of
incremental (local) yields and the estimation of yields delivered to the bay.
The model shows that areas that are most important to the delivery of
nutrients to the bay are those that drain directly to large streams or those
that are near the bay. Instream loss of nutrients is minimal in both cases,
thus enhancing nutrient delivery to the bay.
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