Web Release Date: January 23,
Sorption and Degradation of Steroid Hormones in Soils during Transport: Column Studies and Model Evaluation



and

Department of Agronomy and School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907-1150, and GeoTrans, Inc., Louisville, Colorado 80027
Received for review August 13, 2003
Revised manuscript received December 2, 2003
Accepted December 12, 2003
Abstract:
Natural and synthetic analogues of steroid hormones and
their metabolites have emerged as contaminants of
concern. Characterizing sorption and degradation processes
is essential to assess the environmental distribution,
persistence, and ecological significance of steroid hormones
in terrestrial and aquatic systems. We examined the fate
and transport of testosterone and 17
-estradiol by conducting
a series of fast-flow-velocity transport experiments
under pulse-type and flow-interruption boundary conditions
in columns packed with a surface soil, freshwater
sediment, and two sands. Flow-interruption experiments
provided independent estimates of degradation coefficients
for the parent hormones and their metabolites, while pulse-input type experiments were used to identify transport
mechanisms for hormones by employing forward modeling
approaches. Estimated degradation rate coefficients (k)
for the hormones from flow-interruption experiments ranged
from 0.003 to 0.015 h-1 for testosterone and from 0.0003
to 0.075 h-1 for estradiol, similar to those observed in batch
studies. Degradation rate coefficients for the two primary
metabolites were 1-2 orders of magnitude larger than
those for the parent chemicals. Estimated k values decreased
with column life as a result of nutrient depletion. Large
sorption by soils of the parent and metabolites (log KOC
2.77-3.69) did not appear to hinder degradation; k
values were an order of magnitude smaller than the
estimated sorption mass-transfer constants. Differences
in hormone breakthrough curves from a single-pulse
displacement and those predicted using independently
estimated parameters suggest that modeling hormone
degradation as a simple first-order kinetic process may
be sufficient, but not accurate.
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