Hydraulic tomography (i.e., a sequential aquifer test) has recently been pr
oposed as a method for characterizing aquifer heterogeneity. During a hydra
ulic tomography experiment, water is sequentially pumped from or injected i
nto an aquifer at different vertical portions or intervals of the aquifer.
During each pumping or injection, hydraulic head responses of the aquifer a
t other intervals are monitored, yielding a set of head/discharge (or recha
rge) data. By sequentially pumping (or injecting) water at one interval and
monitoring the steady state head responses at others, many head/discharge
(recharge) data sets are obtained. In this study a sequential inverse appro
ach is developed to interpret results of hydraulic tomography. The approach
uses an iterative geostatistical inverse method to yield the effective hyd
raulic conductivity of an aquifer, conditioned on each set of head/discharg
e data. To efficiently include all the head/discharge data sets, a sequenti
al conditioning method is employed. It uses the estimated hydraulic conduct
ivity field and covariances, conditioned on the previous head/discharge dat
a set, as prior information for next estimations using a new set of pumping
data. This inverse approach was first applied to hypothetical, two-dimensi
onal, heterogeneous aquifers to investigate the optimal sampling scheme for
the hydraulic tomography, i.e., the design of well spacing, pumping, and m
onitoring locations. The effects of measurement errors and uncertainties in
statistical parameters required by the inverse model were also investigate
d. Finally,the robustness of this inverse approach was demonstrated through
its application to a hypothetical, three-dimensional, heterogeneous aquife
r.