USGS -- SMIG --
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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Stewart Rounds, SMIG coordinator <sarounds@usgs.gov>
U.S. Geological Survey
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