Date of Award

12-1993

Degree Name

Master of Science

Department

Geosciences

First Advisor

Dr. Richard Passero

Second Advisor

Dr. Alan Kehew

Third Advisor

Dr. Michael Stoline

Access Setting

Masters Thesis-Open Access

Abstract

Groundwater in Kalamazoo County, Michigan has been impacted by human activities. This study presents a statistical method for predicting aquifer sensitivity/vulnerability within a glacio-hydrogeologic system.

Computerized data including 3620 water well records with partial chemical analyses, soil surveys, land use maps, and hydrogeologic reports were used to quantify aquifer parameters, nitrate-N contaminant concentrations, soil factors, and agricultural practices. Statistical analyses included simple t-tests , correlation, ANOV A, and multiple regression analyses.

The results indicate that there are statistically significant relationships between nitrate-N concentrations and depth of well submergence, well depth, clay thickness, partial clay thickness, land use, and soil slope. Two multiple regression models are presented, a general aquifer sensitivity model which uses only the hydrogeologic parameters, and an agricultural ground-water vulnerability model which incorporates agricultural land use and soil slope. Less than 10 % of the total variance in nitrate-N concentration was accounted for by these models.

Included in

Geology Commons

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