Multilevel slug tests provide one means of obtaining estimates of hydr
aulic conductivity on a scale of relevance for contaminant transport i
nvestigations. A numerical model is employed here to assess the potent
ial of multilevel slug tests to provide information about vertical var
iations in hydraulic conductivity under conditions commonly faced in f
ield settings. The results of the numerical simulations raise several
important issues concerning the effectiveness of this technique. If th
e length of the test interval is of the order of the average layer thi
ckness, considerable error may be introduced into the conductivity est
imates owing to the effects of adjoining layers. The influence of adjo
ining layers is dependent on the aspect ratio (length of test interval
/well radius) of the test interval and the flow properties of the indi
vidual layers. If a low-permeability skin is present at the well, the
measured vertical variations will be much less than the actual variati
ons, owing to the influence of the skin conductivity on the parameter
estimates. A high-permeability skin can also produce apparent vertical
variations that are much less than the actual, owing to water flowing
vertically along the conductive skin. In cases where the test interva
l spans a number of layers, a slug test will yield an approximate thic
kness-weighted average of the hydraulic conductivities of the intersec
ted layers. In most cases, packer circumvention should not be a major
concern when packers of 0.75 m or longer are employed. Results of this
study are substantiated by recently reported field tests that demonst
rate the importance of well emplacement and development activities for
obtaining meaningful estimates from a program of multilevel slug test
s.