4 research outputs found
Model Complexity Needed for Quantitative Analysis of High Resolution Isotope and Concentration Data from a Toluene-Pulse Experiment
Separating microbial- and physical-induced
effects on the isotope
signals of contaminants has been identified as a challenge in interpreting
compound-specific isotope data. In contrast to simple analytical tools,
such as the Rayleigh equation, reactive-transport models can account
for complex interactions of different fractionating processes. The
question arises how complex such models must be to reproduce the data
while the model parameters remain identifiable. In this study, we
reanalyze the high-resolution data set of toluene concentration and
toluene-specific ÎŽ<sup>13</sup>C from the toluene-pulse experiment
performed by Qiu et al. (this issue). We apply five reactive-transport
models, differing in their degree of complexity. We uniquely quantify
degradation and sorption properties of the system for each model,
estimate the contributions of biodegradation-induced, sorption-induced,
and transverse-dispersion-induced isotope fractionation to the overall
isotope signal, and investigate the error introduced in the interpretation
of the data when individual processes are neglected. Our results show
that highly resolved data of both concentration and isotope ratios
are needed for unique process identification facilitating reliable
model calibration. Combined analysis of these highly resolved data
demands reactive transport models accounting for nonlinear degradation
kinetics and isotope fractionation by both reactive and physical processes
such as sorption and transverse dispersion
Trafiklagstiftning och barn
<i>N</i>-Nitrosodimethylamine
(NDMA) is a carcinogenic
disinfection byproduct from water chloramination. Despite the identification
of numerous NDMA precursors, essential parts of the reaction mechanism
such as the incorporation of molecular O<sub>2</sub> are poorly understood.
In laboratory model systems for the chloramination of secondary and
tertiary amines, we investigated the kinetics of precursor disappearance
and NDMA formation, quantified the stoichiometries of monochloramine
(NH<sub>2</sub>Cl) and aqueous O<sub>2</sub> consumption, derived <sup>18</sup>O-kinetic isotope effects (<sup>18</sup>O-KIE) for the reactions
of aqueous O<sub>2</sub>, and studied the impact of radical scavengers
on NDMA formation. Although the molar NDMA yields from five <i>N</i>,<i>N</i>-dimethylamine-containing precursors
varied between 1.4% and 90%, we observed the stoichiometric removal
of one O<sub>2</sub> per <i>N</i>,<i>N</i>-dimethylamine
group of the precursor indicating that the oxygenation of N atoms
did not determine the molar NDMA yield. Small <sup>18</sup>O-KIEs
between 1.0026 ± 0.0003 and 1.0092 ± 0.0009 found for all
precursors as well as completely inhibited NDMA formation in the presence
of radical scavengers (ABTS and trolox) imply that O<sub>2</sub> reacted
with radical species. Our study suggests that aminyl radicals from
the oxidation of organic amines by NH<sub>2</sub>Cl and <i>N</i>-peroxyl radicals from the reaction of aminyl radicals with aqueous
O<sub>2</sub> are part of the NDMA formation mechanism
Shift in Mass Transfer of Wastewater Contaminants from Microplastics in the Presence of Dissolved Substances
In
aqueous environments, hydrophobic organic contaminants are often
associated with particles. Besides natural particles, microplastics
have raised public concern. The release of pollutants from such particles
depends on mass transfer, either in an aqueous boundary layer or by
intraparticle diffusion. Which of these mechanisms controls the mass-transfer
kinetics depends on partition coefficients, particle size, boundary
conditions, and time. We have developed a semianalytical model accounting
for both processes and performed batch experiments on the desorption
kinetics of typical wastewater pollutants (phenanthrene, tonalide,
and benzophenone) at different dissolved-organic-matter concentrations,
which change the overall partitioning between microplastics and water.
Initially, mass transfer is externally dominated, while finally, intraparticle
diffusion controls release kinetics. Under boundary conditions typical
for batch experiments (finite bath), desorption accelerates with increasing
partition coefficients for intraparticle diffusion, while it becomes
independent of partition coefficients if film diffusion prevails.
On the contrary, under field conditions (infinite bath), the pollutant
release controlled by intraparticle diffusion is not affected by partitioning
of the compound while external mass transfer slows down with increasing
sorption. Our results clearly demonstrate that sorption/desorption
time scales observed in batch experiments may not be transferred to
field conditions without an appropriate model accounting for both
the mass-transfer mechanisms and the specific boundary conditions
at hand
Direct Experimental Evidence of Non-first Order Degradation Kinetics and Sorption-Induced Isotopic Fractionation in a Mesoscale Aquifer: <sup>13</sup>C/<sup>12</sup>C Analysis of a Transient Toluene Pulse
The
injection of a mixed toluene and D<sub>2</sub>O (conservative
tracer) pulse into a pristine mesoscale aquifer enabled a first direct
experimental comparison of contaminant-specific isotopic fractionation
from sorption versus biodegradation and transverse dispersion on a
relevant scale. Water samples were taken from two vertically resolved
sampling ports at 4.2 m distance. Analysis of deuterium and toluene
concentrations allowed quantifying the extent of sorption (<i>R</i> = 1.25) and biodegradation (37% and 44% of initial toluene
at the two sampling ports). Sorption and biodegradation were found
to directly affect toluene <sup>13</sup>C/<sup>12</sup>C breakthrough
curves. In particular, isotope trends demonstrated that biodegradation
underwent MichaelisâMenten kinetics rather than first-order
kinetics. Carbon isotope enrichment factors obtained from an optimized
reactive transport model (Eckert et al., this issue) including a possible
isotope fractionation of transverse dispersion were Δ<sup>equ</sup><sub>sorption</sub> = â0.31 â°, Δ<sup>kin</sup><sub>transverseâdispersion</sub> = â0.82 â°,
and Δ<sup>kin</sup><sub>biodegradation</sub> = â2.15
â°. Extrapolation of our results to the scenario of a continuous
injection predicted that (i) the bias in isotope fractionation from
sorption, but not transverse dispersion, may be avoided when the plume
reaches steady-state; and (ii) the relevance from both processes is
expected to decrease at longer flow distances when isotope fractionation
of degradation increasingly dominates