Risk estimates for contaminants in soil are currently calculated assum
ing that concentrations remain unchanged over time. In reality, biolog
ical and physicochemical processes can substantially diminish contamin
ant concentrations in soil. For exposure periods typically evaluated i
n USEPA risk assessments, failure to consider the decline in contamina
nt levels from environmental transport and degradation can result in a
significant overestimation of the average daily dose of toxicant. Thi
s overestimation may be up to 2- to 3-fold for compounds with long hal
f-lives (15-20 years) in soil and as much as 40-fold for compounds wit
h short half-lives (0.5 years). Overestimation of dosages affects esti
mation of cancer risks because of the assumption that the probability
of cancer increases directly with the cumulative dose of carcinogen. T
hus, assuming static contaminant concentrations in soil adds unacknowl
edged conservatism to cancer risk estimates and target concentration l
imits. Furthermore, as significant time may elapse before future-use s
cenarios could possibly occur, soil half-life can affect the estimatio
n of noncarcinogenic health hazards as well. Therefore, an increase in
target concentration limits for some compounds could be allowed and c
orresponding remediation costs reduced by considering how soil half-li
fe changes the dosage calculation. Specific examples of the influence
of soil degradation rates on estimates of cancer risk are presented an
d the degree of added conservatism imparted to risk assessments throug
h assumption of static site contaminant levels is discussed. Consideri
ng the potential importance of this parameter for risk assessment and
risk management decisions, soil degradation of contaminants under site
-specific conditions should be performed whenever possible and incorpo
rated into the risk assessment exercise. When the soil degradation rat
e cannot be measured or reliably predicted, an estimate of the degree
of conservatism should be made to provide risk managers with an apprec
iation of the degree of uncertainty in the calculation of risk. (C) 19
95 Academic Press, Inc.