Principal component anal sis was used to define patterns in water table hyd
rographs at four small, lake-watershed research sites in the United States.
The analysis provided insights into (1) characteristics of ground water re
charge in different parts of the watersheds; (2) the effect of seepage from
lakes on water table fluctuations; and f3j the effect of differences in ge
ologic properties on water table fluctuations, At two sites where all of th
e water table wells were completed in permeable deposits, glacial outwash i
n Minnesota and dune sand in Nebraska, the patterns of water table fluctuat
ion primarily reflected timing and magnitude of recharge. The water table h
ad more frequent and wider ranges in fluctuations where it was shallow comp
ared with where it was deep. At two sites where the water table wells were
completed in sand or till, a glaciated mountain valley in New Hampshire and
stagnation moraine in North Dakota, the patterns of water table fluctuatio
ns were strongly related to the type of geologic unit in which the wells ar
e completed. Furthermore, at the New Hampshire site, the patterns of water
table fluctuations mere clearly different for cells completed in sand downg
radient of a lake compared with those completed in sandy terraces on a moun
tainside. The study indicates that principal component analysis would be pa
rticularly useful for summarizing large data sets for the purpose of select
ing index wells for long-term monitoring, which would greatly reduce the co
st of monitoring programs.