Hydrogeologic and water-quality data used to characterize the Management Systems Evaluation Area near Princeton, Minnesota, 1991

Open-File Report 94-337
Prepared in cooperation with the University of Minnesota Department of Soil Science, the U.S. Department of Agriculture, Agricultural Research Service, and the Minnesota Pollution Control Agency
By: , and 

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Abstract

The Minnesota Management Systems Evaluation Area project is part of a multi-scale, inter-agency initiative to evaluate the effects of agricultural management systems on water quality in the midwest corn belt. The research area is located in the Anoka Sand Plain about 5 kilometers southwest of Princeton, Minnesota. The ground-water-quality monitoring network within and immediately surrounding the research area consists of 29 observation wells and 22 multiport wells. Thirteen observation wells are also located outside the research area. The primary objectives of research by the U.S. Geological Survey at the Princeton Management Systems Evaluation Area are to: (1) determine the relation of the spatial and temporal distribution of agricultural chemicals in ground water to recharge, topography, and subsurface heterogeneities; and (2) determine the effects of the modified and prevailing farming systems on ground-water quality. This report presents geologic logs and water-quality data used to characterize the Princeton Management Systems Evaluation Area.

Study Area

Publication type Report
Publication Subtype USGS Numbered Series
Title Hydrogeologic and water-quality data used to characterize the Management Systems Evaluation Area near Princeton, Minnesota, 1991
Series title Open-File Report
Series number 94-337
DOI 10.3133/ofr94337
Year Published 1994
Language English
Publisher U.S. Geological Survey
Publisher location Mounds View, MN
Contributing office(s) Minnesota Water Science Center, Toxic Substances Hydrology Program
Description iii, 42 p.
Country United States
State Minnesota
City Princeton
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
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