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Spatial Characterization of Water Quality in Seven
Eastern
Kentucky Reservoirs Using Multivariate Analyses
Stephen E. Davis, III1*,
Brian C. Reeder2
1Department of
Wildlife and Fisheries Sciences, Texas A&M University
210 Nagle Hall, College Station, Texas, 77843 USA.
2Department of Biological
and Environmental Sciences, Morehead State University Morehead,
KY 40351 *Corresponding author
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Abstract
We conducted water quality surveys along seven eastern
Kentucky reservoirs three times during the 1994 owing season in
order to understand the spatial variability within and between impoundments
from a common geological setting. Sixteen parameters were measured
at sites along the reservoirs representing each zone (riverine,
transition, or lacustrine), and eight of these parameters displayed
a statistically significant site/zone effect. Most of these were
particle-associated parameters (total Fe, Nil4+,
total suspended solids, and total phosphorus) that decreased significantly
down-reservoir. Water transparency increased significantly down-reservoir,
in accordance with this pattern. Temperature and dissolved oxygen
also showed a significant spatial effect, as temperature s highest
towards the riverine end and dissolved oxygen was highest at the
lacustrine end. Six parameters wed significant variability among
these reservoirs, including ammonium and chlorophyll a. The
remaining four conductivity, sulfate, alkalinity and PH) displayed
similar patterns across reservoirs apparently as a result of local
logic attributes. Another goal of this work was to use a multivariate
statistical approach to aid in understand- the relationships between
water quality parameters in this region and to group zones within
a reservoir according to their similarities in water quality. Principal
Components Analysis reduced sixteen parameters to five principal
components that accounted for 74 percent of the total variability
in water quality. Two of these principal components contained all
of the particle-associated and local-geologic parameters, and accounted
for 42% of the total variability. Cluster analyses showed that the
water quality signatures of two reservoirs were quite different
n the rest. Interestingly, these represented the most pristine and
most disturbed watersheds of all seven systems. Our findings are
relevant to the management of these and other similar reservoir
systems.
Keywords: principal components analysis, transparency, watershed,
nutrients, trophic state, chlorophyll a
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