aerated treatment pond technology with biofilm promoting mats for the bioremediation of benzene,...
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Aerated treatment pond technology with biofilmpromoting mats for the bioremediation of benzene,MTBE and ammonium contaminated groundwater
Sven Jechalke a,*, Carsten Vogt a, Nils Reiche b, Alessandro G. Franchini c, Helko Borsdorf b,Thomas R. Neu d, Hans H. Richnow a
a Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, D-04318 Leipzig, Germanyb Department of Monitoring- and Exploration Technologies, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15,
D-04318 Leipzig, Germanyc Department of Environmental Biotechnology, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15,
D-04318 Leipzig, Germanyd Department of River Ecology, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, D-04318 Leipzig, Germany
a r t i c l e i n f o
Article history:
Received 4 August 2009
Received in revised form
1 December 2009
Accepted 1 December 2009
Available online 13 January 2010
Keywords:
Groundwater remediation
Geotextiles
MTBE and benzene degradation
Compartment transfer
* Corresponding author. Tel.: þ493412351360E-mail address: [email protected] (S.
0043-1354/$ – see front matter ª 2009 Elsevidoi:10.1016/j.watres.2009.12.002
a b s t r a c t
A novel aerated treatment pond for enhanced biodegradation of groundwater contaminants
was tested under field conditions. Coconut fibre and polypropylene textiles were used to
encourage the development of contaminant-degrading biofilms. Groundwater contami-
nants targeted for removal were benzene, methyl tert-butyl ether (MTBE) and ammonium.
Here, we present data from the first 14 months of operation and compare contaminant
removal rates, volatilization losses, and biofilm development in one pond equipped with
coconut fibre to another pond with polypropylene textiles. Oxygen concentrations were
constantly monitored and adjusted by automated aeration modules. A natural transition
from anoxic to oxic zones was simulated to minimize the volatilization rate of volatile
organic contaminants. Both ponds showed constant reductions in benzene concentrations
from 20 mg/L at the inflow to about 1 mg/L at the outflow of the system. A dynamic air
chamber (DAC) measurement revealed that only 1% of benzene loss was due to volatiliza-
tion, and suggests that benzene loss was predominantly due to aerobic mineralization.
MTBE concentration was reduced from around 4 mg/L at the inflow to 3.4–2.4 mg/L in the
system effluent during the first 8 months of operation, and was further reduced to 1.2 mg/L
during the subsequent 6 months of operation. Ammonium concentrations decreased only
slightly from around 59 mg/L at the inflow to 56 mg/L in the outflow, indicating no signif-
icant nitrification during the first 14 months of continuous operation. Confocal laser scan-
ning microscopy (CLSM) demonstrated that microorganisms rapidly colonized both the
coconut fibre and polypropylene textiles. Microbial community structure analysis per-
formed using denaturing gradient gel electrophoresis (DGGE) revealed little similarity
between patterns from water and textile samples. Coconut textiles were shown to be more
effective than polypropylene fibre textiles for promoting the recruitment and development
of MTBE-degrading biofilms. Biofilms of both textiles contained high numbers of benzene
metabolizing bacteria suggesting that these materials provide favourable growth conditions
for benzene degrading microorganisms.
ª 2009 Elsevier Ltd. All rights reserved.
; fax: þ493412351443.Jechalke).er Ltd. All rights reserved.
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 61786
1. Introduction
Table 1 – Composition of inflowing and outflowing groundwater from both basins. Values representaverages from 14 months of operation with standarddeviations (±SD) for 33–40 measurements.Parameter[mg/L]
Inflow Outflow basin1 coconutmaterial
Outflow basin2 polypropylene
material
Ammonium 59 � 5 56 � 5 56 � 4
Nitrate <0.1 <0.1 <0.1
Sulphate 6 � 4 5 � 4 5 � 3
Iron 5.8 � 0.7 3 � 2 3 � 1
Iron(II) 6 � 1 1 � 1 1.7 � 0.8
Manganese 1.6 � 0.1 1.4 � 0.3 1.4 � 0.2
Magnesia 60 � 2 60 � 2 60 � 2
Sodium 139 � 7 138 � 7 139 � 6
Chloride 119 � 7 120 � 7 121 � 6
Phosphate 1.4 � 0.7 0.7 � 0.3 0.5 � 0.2
Phosphorus 0.9 � 0.1 0.5 � 0.2 0.5 � 0.2
Calcium 210 � 10 195 � 17 197 � 13
Potassium 13.6 � 0.6 13.7 � 0.6 13.7 � 0.6
Benzene 20 � 2 0.002 � 0.001 0.001 � 0.001
MTBE 3.9 � 0.5 2.5 � 0.8 2.5 � 0.6
Fuel, fuel additives and ammonium are frequently detected
water pollutants worldwide (Christensen et al., 2001; Squillace
et al., 1996). Benzene, toluene, ethylbenzene, the three xylene
isomers (m-, o-, and p-xylene, BTEX compounds) and methyl
tertiary-butyl ether (MTBE) are highly soluble and therefore
extremely mobile in groundwater systems (Squillace et al.,
1996). Therefore, these compounds are of environmental
concern and represent suitable organic contaminants for
testing groundwater remediation system effectiveness.
Benzene, the most toxic and water soluble BTEX compound,
can be degraded by many microorganisms under oxic (Agteren
et al., 1998) and even hypoxic conditions (Yerushalmi et al.,
2002). MTBE biodegradation is slow and difficult due to steric
effects within the molecule, but has been shown by several
studies to be degraded under aerobic conditions (Ferreira et al.,
2006; Schmidt et al., 2004). Notably, growth rates and biomass
yields for aerobic MTBE degraders have been shown to be much
lower than aerobic benzene degraders (Fortin et al., 2001). Both
MTBE and benzene are highly recalcitrant under anoxic
conditions (Foght, 2008; Haggblomet al., 2007). Ammonium can
be aerobically oxidized to nitrate by slow growing microor-
ganisms in a two-step process known as nitrification.
Groundwater fuel contamination is generally character-
ized by a large chemical oxygen demand (COD). Therefore,
increased oxygen concentrations are positively correlated
with biodegradation rates. However, it is a challenge to supply
sufficient amounts of oxygen into contaminated aquifers due
to its low solubility. Enhanced biodegradation of BTEX (Borden
et al., 1997) and MTBE (Salanitro et al., 2000; Wilson et al., 2002)
has been achieved by active measures such as direct oxygen
injection, or passive measures like introduction of oxygen-
releasing compounds into the system. However, the long-
term efficiency of reactive barriers may be impacted by biofilm
clogging or precipitate formation (Scherer et al., 2000).
Aerobic ponds have found worldwide application in
municipal wastewater treatment; however, degradation of
fuel related contaminants in combination with ammonium is
poorly investigated in these systems (Thorneby et al., 2006).
Photosynthetic algae and bacteria as well physical aeration
are often used to support oxic degradation processes.
Retaining biomass in the system is a prerequisite for efficient
oxidation of contaminants and has been shown to enhance
biodegradation potential in benchtop scale experiments
(Korkut et al., 2006). Direct implementation of aerated
trenches in contaminated shallow aquifers could represent
a cost effective treatment technique, and has not yet been
described to our knowledge.
The aim of this study was to evaluate the effectiveness of
aerated trench systems for the reduction of BTEX and MTBE at
a field scale. Our model system simulates a scenario where
contaminated groundwater is passed through a treatment
facility at a constant recharge rate, directly from the aquifer,
before being released into the environment. The treatment
aims to reduce COD and contaminant levels in the effluent by
promoting aerobic biodegradation carried out by organisms
contained in contaminant-degrading biofilms. We test the
effectiveness of two different geotextiles, a polypropylene
fleece and a natural coconut fibre. Polypropylene fibres are
relatively inert with regard to extreme pH, salinity and
temperature conditions in comparison to polyester (Mathur
et al., 1994) and have been shown to support biofilm formation
of nitrifying bacteria (Korkut et al., 2006; McLean et al., 2000;
Takamizawa et al., 1993), whereas coconut textile is natural
and cost efficient. Here, the implementation of two aerated
trench systems after fourteen months of continuous opera-
tion is discussed in terms of contaminant degradation rates
and performance of the different textiles in the system.
2. Materials and methods
2.1. Site location and groundwater composition
The model treatment facility was set up next to a refinery
plant in Leuna, Germany. Due to spills, improper handling,
and war damage, the groundwater in this area is heavily
contaminated with high concentrations of ammonium, the
fuel additive MTBE, benzene, and considerable amounts of
iron (Table 1). Groundwater for processing was obtained from
a well located downstream from the refinery.
2.2. Setup of the aerobic pond system
The system consists of two parallel basins (basin 1 and basin 2),
each 5 m long, 1.15 m wide and 2.2 m deep (Fig. 1). The inflow
and effluent groundwaters pass through a gravel layer of high
porosity before entering or leaving the basin, simulating infil-
tration and exfiltration into or out of an engineered open
surface water body. The groundwater flow is regulated via
tubes located at the in and outflow of the basins at a depth of
2.15 m. Each system is separated into different compartments,
two permeable segments of 45 cm at the sides of the inflow and
outflow, filled with coarse gravel (8–16 mm) and an open water
surface area of 4.1 m in length. Five barriers of geotextiles direct
Fig. 1 – Cross section of one of the two parallel geotextile supported aerated treatment pond systems. Solid black circles
represent the location of oxygen sensors, white circles in black boxes indicate aeration modules, and dark lines in water
body show positions of geotextile barriers.
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 6 1787
the water flow path through the basin area with 30 cm high
openings at the bottom or top in alternating alignment. The
systems differ only in the geotextile materials used. System 1
contains coconut fibre mats (Angermunder Matten, Anger-
munde, Germany) as a natural material with a thickness of
1–2 cm and a density of 960 g/m2. System 2 contains synthetic
polypropylene fleece (Ludwig Kunststoffe GmbH, Berg,
Germany) with a thickness of 0.5 cm and a density of 320 g/m2.
Aeration modules (porous ceramic filter modules, Pall Schu-
macher GmbH, Germany) are located on the bottom of each
pond (before the 1st, 3rd and 5th barrier) and oxygen sensors
(TriOxmatic� 700 IQ sensors, WTW Wissenschaftlich-Techni-
sche Werkstatten GmbH, Weilheim, Germany) are suspended
in the water column at 60, 120 and 180 cm from the water
surface after the same barriers. One temperature sensor
(RM-Typ RL-5060-7, Rossel Messtechnik GmbH, Dresden,
Germany) per basin is positioned on the bottom of the tank, at
the midpoint of the water surface area. Two additional
geotextile barriers, consisting of 9 squares (20 � 20 cm) of
geotextiles positioned along the entire depth of the water
column, were installed for biofilm sampling and deployed in
front of the 2nd geotextile barrier of both trenches.
2.3. Process parameters
The experiment was initiated on 1st November 2007. Anoxic
groundwater was pumped into the systems at a constant rate
of 2.0 � 0.4 m3/day, resulting in a hydraulic retention time of
6.3 days. Outflow rates for both basins were 1.9 � 0.4 m3/day
and suggest that there are negligible water losses due to
evaporation.
Both basins were aerated with ambient air. Each aeration
module was operated separately and was regulated by taking
the mean oxygen content measured by the following three
oxygen sensors described in the previous paragraphs. The
oxygen content was measured at 15 min intervals. The
minimum oxygen concentration was held at 1 mg/L until
the 29th of November 2007. Afterwards, a gradient was
created ranging from 0 mg/L at the inflow area (1.5 m from the
inflow, aeration module switched off), 0.5 mg/L in the middle
of the basins (2.8 m from the inflow), to 1 mg/L in the rear
portion of the basins (4.2 m from the inflow).
2.4. Volatilization measurement
The volatilization losses for benzene and MTBE were
measured using a specially designed dynamic air chamber
(DAC) installed for one week on top of the basin with coconut
mats during two sampling campaigns in July and September
2008. The DAC was constructed from a steel frame covered
with a 200 mm ETFE foil. It is 1.8 m in height and its volume
accounts for around 10 m3. An adjustable air blower was
operated at 400 � 20 m3/h. Determination of benzene and
MTBE air concentrations was performed using active
sampling onto sorbent tubes (150 mg Tenax TA� plus 100 mg
Chromosorb106�) according to EPA Method TO-17 (U.S. Envi-
ronmental Protection Agency, 1999) at the inlet and outlet of
the DAC. Duplicate samples were taken hourly with
a sampling rate of 25 ml/min. The inflow and outflow
groundwater contaminant concentrations were monitored
simultaneously. More detailed information regarding design,
setup and function of the dynamic air chamber will be pre-
sented in a separate manuscript (Reiche et al., submitted for
publication).
2.5. Sampling procedure
Groundwater at the inflow and effluent from the two systems
was monitored periodically (2–4 times a month). After dis-
carding 500 ml of water from the sampling port, samples were
taken without headspace in amber glass bottles for organic
carbon, inorganic carbon and COD analysis, and in clear glass
bottles for biological oxygen demand (BOD) analysis. Samples
for cation measurement (Fe(II), K, Ca, Na, Mg, Mn, and P) were
acidified directly after sampling with HNO3 to a pH of 1–2. For
measurement of anions (Cl�, SO42�, NO2
�, NO3�, PO4
3�) and NH4þ,
samples were taken without headspace in 50 ml polyethylene
bottles (VWR International GmbH, Darmstadt, Germany). All
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 61788
samples were stored at 4 �C until measurement. Samples for
benzene and MTBE concentration profiles along distinct water
depths were taken in 1 L Duran� bottles (Schott, Germany),
closed with screw caps, and equipped with two tube connec-
tions. One was connected to an N72 gas pump (KNF Neuberger
GmbH, Freiburg, Germany) that flushed air into the bottle until
it reached the sampling depth. After the pump was discon-
nected, the bottle was filled through the vacant tube due to the
surrounding water pressure.
2.6. Analytical methods
The water temperatures of the inflowing groundwater, and at
the bottom central portion of each system, were measured at
15 min intervals (RM-Typ RL-5060-7, Rossel Messtechnik
GmbH, Dresden, Germany). The pH of the inflow and outflow
was monitored by a SensoLyt� 700 IQ system (WTW Wissen-
schaftlich-Technische Werkstatten GmbH, Weilheim,
Germany).
Cations were analysed following the DIN 38406-E5 protocol
(German Institute for Standardisation, 1983). Ammonium
quantification was performed photometrically at a detection
limit of 0.01 mg/L (EPOS Analyser 5060, Eppendorf AG,
Hamburg, Germany). The elements Ca, Fe, K, Mg, Mn, Na, and
P were analysed by inductively coupled plasma atomic emis-
sion spectroscopy (ICP-AES) using the a Spectro Ciros CCD
(SPECTRO Analytical Instruments GmbH, Kleve, Germany)
with detection limits of 0.03, 0.03, 0.2, 0.01, 0.02, 0.4, and
0.1 mg/L, respectively.
Anions were analysed following the DIN 38405 (German
Institute for Standardisation, 1979–2006) and the EN ISO
10304-2 (International Organization for Standardization, 1995)
protocols. Chloride, sulphate and nitrate were analysed using
the ion chromatograph DX500 (Dionex GmbH, Idstein,
Germany). The concentration of ortho-phosphate was ana-
lysed with a detection limit of 0.07 mg/L using an EPOS Ana-
lyser 5060 (Eppendorf AG, Hamburg, Germany).
The total organic carbon (TOC) was analysed according to
the DIN EN 1484 protocol (German Institute for Stand-
ardisation, 1997), in which TOC is the sum of purgeable
organic carbon (POC) and non-purgeable organic carbon
(NPOC). The BOD was analysed according to the DIN 38409 T52
protocol. The COD was analysed using the LCK 314 cuvette test
system (HACH LANGE GmbH, Dusseldorf, Germany) according
to the manufacturers instructions. Benzene concentrations
were determined by taking a 1 ml aliquot from a sample with
a sterile syringe, and added to 9 ml water (adjusted to pH 2.5
with sulphuric acid) in 20 ml GC-vials. Samples were analysed
on a gas-chromatograph equipped with a flame ionization
detector (GC-FID) (CP-3800 GC, Varian Inc., USA) described
elsewhere (Fischer et al., 2008).
The concentration of MTBE was determined by another
GC-FID system (HP 6890 GC, Agilent Technologies, Waldbronn,
Germany) described elsewhere (Rosell et al., 2010).
2.7. Determination of viable cell counts
Most probable number (MPN) counts for aerobic benzene and
MTBE metabolizing bacteria were determined using 10 repli-
cates and a 1:10 dilution carried out to 10�8 in 96 well plates
(8 � 12 wells, Nunc, Apogent, Denmark). Sample volumes of
500 ml from in and outflow water or 500 ml of extracted cell
solution from biofilms were inoculated into 4.5 ml of R2A
medium (Reasoner and Geldreich, 1985) for growth of total
aerobic bacteria and Brunner mineral medium supplemented
with benzene (Vogt et al., 2002) or into mineral salt medium
(Rohwerder et al., 2006) including vitamins, cobalt and MTBE
for growth of specific degraders, respectively. For contami-
nant specific degraders, plates were incubated in gas-tight jars
(Oxoid, United Kingdom) and 300 ml of pure benzene or MTBE
was added to the gas phase. The first and last columns of the
plates were filled with sterile media as controls, covered with
sterile lids, and incubated at 27 �C. Bacterial growth was
visually characterized in 96-well plates until no further
changes were observed.
2.8. Biofilm analysis
2.8.1. Confocal laser scanning microscopy (CLSM)Textile samples for CLSM-analysis of biofilms were taken
from the additional textile carriers. Samples of around 3 cm2
were transported while avoiding shaking at 4 �C in sterile
50 ml Teflon screwcap Duran bottles (Schott, Germany) filled
with 30 ml of 0.2 mm filtered water from the appropriate pond.
Textile sampling was performed in January, April, July, and
October 2008 at depths of 30, 120 and 180 cm. Both textiles
were examined for possible autofluorescence in order to select
the appropriate fluorochromes, mounted in 5 cm Petri dishes
and stained with SYTO� 9. The nucleic acid signal, the auto-
fluorescence and reflection were recorded. Images were
collected with a TCS-SP1, connected to an upright microscope
and controlled using confocal software, version 2.61 (Leica
Microsystems GmbH, Wetzlar, Germany). Samples were
examined using water immersible lenses (20� NA 0.5, 63� NA
0.9). Excitation was at 488 nm (reflection and Syto 9) and
633 nm (chlorophyll A autofluorescence). Emission signals
were detected at 480–495 nm (reflection), 500–550 nm (Syto 9)
and 650–750 nm (chlorophyll A). Raw image data sets are
presented as maximum intensity projections without any
further adjustments.
2.8.2. Extraction of cells from textilesThe cells were extracted from the textiles using a modified soil
extraction method (Riis et al., 1998). Briefly, 20 ml of a sterile
0.2% solution of Na4P2O7 (pH 8.5, adjusted with HCl) was added
to 0.5 g textile (dry weight) in 50 ml centrifugation tubes (VWR
International GmbH, Darmstadt, Germany). After vortexing for
2 min at maximum speed (Vortex Genie�2, Scientific Indus-
tries, inc., Bohemia, New York, USA), the sample was shaken
horizontally at 200 rpm for 30 min at room temperature and
homogenized by ice-cooled sonication (10 min, 50 W, 0.3 s
impulses). The residual textile was dried at 60 �C and weighed.
2.8.3. Degradation experimentsMicrocosm experiments with textile samples were performed
to evaluate the capacity of the biofilms to degrade benzene
and MTBE. Textile samples were taken from the additional
textile carriers located at a depth of 170 cm and transported at
4 �C in 50 ml centrifugation tubes. For benzene degradation,
1 cm2 textile samples were inoculated in duplicate into 240 ml
Table 2 – Average oxygen content [mg/L] during the test period from 1st of December 2007 until the 31st of December 2008.
Depth Distance to inflow [m]
1.5 2.8 4.2
Average SD Average SD Average SD
Basin 1 Coconut 60 cm 0.3 1.0 0.5 0.8 1.5 1.2
120 cm 0.3 0.7 0.5 0.6 1.0 0.7
180 cm 0.5 0.9 0.5 0.7 0.8 0.7
Basin 2 Polypropylene 60 cm 0.6 1.4 0.5 0.7 1.5 1.3
120 cm 0.5 0.9 0.4 0.5 1.2 0.9
180 cm 0.2 0.5 0.5 0.6 0.7 0.7
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 6 1789
cultivation bottles filled with 55 ml mineral salt medium
spiked with benzene to a final concentration of 50 mg/L. The
bottles were sealed with Teflon caps and incubated on
a shaker (85 rpm, 25 �C).
For the MTBE degradation experiments, 2 cm2 textile
samples were inoculated in triplicate into 240 ml cultivation
bottles filled with 60 ml of mineral salt medium (Rohwerder
et al., 2006) including vitamins, cobalt, and around 160 mg/L
MTBE. The bottles were sealed with Teflon caps and incubated
on a shaker (130 rpm, 30 �C). Concentrations of MTBE were
analysed periodically in duplicate.
2.9. Microbial community structure analysis
Denaturing gradient gel electrophoresis (DGGE) was carried out
using the DCode Universal Mutation Detection System (Biorad,
Munich, Germany) and a modified protocol described else-
where (Imfeld et al., 2008; Nikolausz et al., 2008). For DNA
extraction, 240 ml water samples were filtered onto cellulose
acetate filters (pore size 0.2 mm, diameter 45 mm, Sartorius AG,
Gottingen, Germany) and DNA was isolated from the filters or
directly from 0.2 g of textile using the FastDNA� Kit (MP
Biomedicals, Irvine CA) and the FastPrep� Instrument (Savant
Instruments, Inc. Holbrook, New York. Bacterial specific
primers27F (Lane, 1991) and1378R (Heuer etal., 1997) wereused
for PCR. Nested PCR was carried out using the universal primers
GC-968-GC (Nubel et al., 1996) and Univ1378R. 16S PCR products
(500 ng) weredirectly applied to 8% (wt/vol) polyacrylamide gels
containing linear denaturing gradients of between 30 and 60%
urea/formamide (7 M urea and 40% formamide (vol/vol) as 100%
denaturants) andseparated by electrophoresisat 60 V for16 h at
constant temperature (60 �C) in a 1� TAE buffer. The gel was
silver-stained according to Bassam et al. (1991) and scanned
with an UMAX Astra 2400s (Umax Systems GmbH, Willich,
Germany) flatbed scanner. Similarity matrices, based on band
abundances, were produced using the GelComparII software
(Applied Maths, Kortrijk, Belgium). Dendrograms were gener-
ated using the unweighted pair group method using arithmetic
means (UPGMA) algorithm.
3. Results
3.1. Physico-chemical conditions within the pond
Dissolved oxygen levels at 1.5 m from the inflow reached
concentrations up to 0.6 mg/L (Table 2), even when the
aeration was switched off in this zone of the basin. Addi-
tionally, diurnal fluctuations in oxygen levels (not shown)
indicate oxygen production by algae during the day and
consumption over night. This diurnal pattern was also
observed on the textiles (see below). The pH of the inflow
groundwater was constant at 7.1 � 0.9, measured for the
duration of the experiment at 15 min intervals, and 7.5� 0.5 in
both ponds. The average annual temperature of the inflowing
groundwater was 12� 3 �C. In the two basins, the temperature
was correlated with the ambient air temperature (R2 of 0.7,
data not shown) and ranged from 3 �C in the winter period to
25 �C in the summer period (see Supplementary information).
3.2. Contaminant removal
The monthly average inflow concentrations of benzene were
between 16.6 mg/L and 23.3 mg/L. Benzene outflow concen-
trations varied but were predominantly found to be around
1 mg/L, a value below the German guidelines for drinking
water quality (DVGW, 2001), and consistently remained
under the guideline value of 10 mg/L set by the World Health
Organization (WHO, 2003) for drinking water quality (see
supplementary information). The following calculations are
based on a loading rate of 2 m3/day. Each system removed
33.2–46.6 g benzene per day or 5.8–8.1 g/m2/day. Horizontal
concentration profiles throughout the system showed that
the largest concentration decrease (for benzene and also for
MTBE) took place within the front part of the system, within
a distance of up to 2.8 m from the inflow (Fig. 2). In micro-
cosm experiments with fresh textile samples, benzene was
immediately degraded without lag-phase (Fig. 3). Microcosm
experiments showed that sorption of benzene and MTBE to
the geotextiles in the system reached equilibrium after a few
days (data not shown), and can therefore be considered to be
negligible.
During the first year of operation, the residual MTBE
concentration in the effluent from both systems was consis-
tently 60–80% of the inflow concentration. Hence, each basin
removed 1.6–3.1 g MTBE per day or 0.3–0.5 g/m2/day. Beginning
in September ’08, after around 317 days of operation, both
systems started to develop differently. In the basin with
coconut fibre material, MTBE was increasingly degraded
(Fig. 4). This observation was confirmed by microcosm
experiments with coconut fibre collected in August 08, where
MTBE was degraded while no degradation was seen in
microcosms with polypropylene textile samples (Fig. 5).
However, the overall reduction in MTBE concentrations were
Inflow
1.5 m
- 60 c
m
1.5 m
- 120
cm
1.5 m
- 180
cm
2.8 m
- 120
cm
4.2 m
- 120 c
m
Outflow
mg/
L
0
5
10
15
20
25
Benzene concentration - coconutBenzene concentration - polypropylene MTBE concentration - coconut MTBE concentration - polypropylene
Fig. 2 – Benzene and MTBE concentration gradients
analysed in April 08. Samples were taken from the inflow,
from different sections along the water flow path of each
basin and from the outflow. In x axis, first number
represents the distance to the inflow and second number
the sampling depth from the water surface.
Novem
ber 07
Decem
ber 0
7
Janu
ary 08
Februa
ry08
March 08
April 0
8
May08
June
08
July
08
Augus
t 08
Septem
ber 0
8
Octobe
r 08
Novem
ber 08
Decem
ber 08
MTB
E co
ncen
tratio
n %
of i
nflo
w a
vera
ge
0
20
40
60
80
100
outflow coconutoutflow polypropylene
Fig. 4 – Percentage of residual MTBE in basin outflows,
compared with the average inflow concentration of each
month. Error bars represent standard deviations for 2–4
samplings.
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 61790
not sufficient to reach the 20–40 mg/L EPA drinking water
advisory standard (US Environmental Protection Agency,
1997).
A slight removal of 1.7–10.7% ammonium was observed in
the outflow of both basins (see supplementary information)
over the entire course of the experiment, while the largest
removal occurred in February and March 2008. An average
removal rate of 2.0–12.6 g ammonium per day, or 0.4–2.2 g/m2/
day, was observed for each basin.
time [h]0 5 10 15 20 25
resi
dual
ben
zene
[%]
0
20
40
60
80
100
120
coconut textile polypropylene fleece control without textile
Fig. 3 – Microcosm experiment with textile pieces sampled
in June 08. Textiles were incubated as duplicates in
mineral salt medium under oxic conditions with benzene
added as carbon source and incubated at 25 8C. Benzene
amended medium was used as a control.
3.3. Volatilization of contaminants
The volatilization rate of benzene and MTBE for the basin
containing the coconut fibre mats, analysed in July 2008, was
254 mg/min and 1590 mg/min, respectively. This implies that
about 1% and 53% of the benzene and MTBE losses from the
system were due to volatilization, respectively. During the
second campaign in September 2008, the percentage of mass
loss to volatilization amounted to 0.4% for benzene and 48%
for MTBE (Table 3).
3.4. Microbiological observations
Average bacterial numbers at the inflow and outflow from the
system were 1� 103 MPN/ml and 1� 106 MPN/ml, respectively.
time [days]0 20 40 60 80 100
resi
dual
MTB
E [%
]
0
20
40
60
80
100
120
coconut textilepolypropylene fleececontrol without textile
Fig. 5 – Microcosm experiment with textile pieces sampled
in August 08. Textiles were incubated as triplicates in
mineral salt medium under aerobic conditions with MTBE
added as a carbon source and incubated at 25 8C. Medium
with added MTBE was used as control.
Table 3 – Volatilization rates and calculated percentage of mass loss due to volatilization for the basin with coconut fibrematerial. Values are from two sampling campaigns in July and September 2008, standard deviation values (SD) areprovided.
Date of samplingcampaign
Benzene MTBE Temperatures
Volatilizationrate (mg/min)
SD(mg/min)
Volatilizationpart of mass
loss (%)
SD(%)
Volatilizationrate (mg/min)
SD(mg/min)
Volatilizationpart of
mass loss (%)
SD(%)
Water(�C)
SD(�C)
DACair (�C)
SD(�C)
July (n ¼ 3) 254 115 1 0.5 1590 200 53 13 18.5 0.17 33.5 9.4
September (n ¼ 5) 120 57 0.4 0.2 1480 175 48 7 14.5 0.65 17.5 4.6
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 6 1791
MPNs for aerobic benzene metabolizing bacteria ranged from
3.3 � 101 to 9.2 � 102 MPN/ml in the inflow, and 2.9 � 102 to
1.1 � 104 MPN/ml (Fig. 6 a) in the effluent. Biofilms were
observed by CLSM on polypropylene and coconut textiles,
during the entire sampling period, beginning with the first
sampling in January (see Supplementary data). Algae were
predominantly found in the uppermost, sunlight-exposed
zones but were present along the entire surface of the textile
in lower concentrations. The uppermost region of the poly-
propylene textile developed a thick layer of algae and cyano-
bacteria, but this was not observed on the coconut fibres.
Precipitates were found predominantly on textiles sampled
from deep zones. On both textiles, high numbers of cultivable
aerobic bacteria were detected. The total amount of cells per
cm2 or gram textile is difficult to compare to the amount of
cells per cm3 in the water. However, by comparing the MPN
results for cultivable aerobic and benzene metabolizing
bacteria, we conclude that the percentage of benzene
degrading bacteria on textiles is higher than the percentage in
the outflow from the trenches (Fig. 6b). The cells counts from
mineral salt media supplemented with MTBE as a carbon
source could not be clearly distinguished. Only minimal
growth was observed, and might have been caused only by
februa
rymarc
hap
rilmay jun
e july
augu
st
septe
mber
octob
er
nove
mber
dece
mber
MPN
/ml o
r MPN
/cm
² tex
tile
1e+1
1e+2
1e+3
1e+4
1e+5
1e+6
1e+7
1e+8
1e+9
Textile coconut Textile polypropylene Inflow Outflow coconut Outflow polypropylene
a
Fig. 6 – (a) MPN of benzene metabolizing aerobic bacteria in yea
compared to total aerobic bacteria.
metabolization of MTBE or by growth on residual benzene
from the inoculum. Microbial community compositions from
water and textile samples were compared using DGGE, and
analysed by clustering using Pearson correlation and UPGMA
methods. Complex community patterns were observed for
basin water and textile samples and were significantly altered
compared to inflow groundwater (Fig. 7). Water samples from
the basins were very similar, whereas textile samples differed
from each other and also from all water samples.
3.5. Total organic carbon (TOC), chemical oxygendemand (COD), and biological oxygen demand (BOD)
The system showed overall reductions of 61% for COD, 57–59%
for TOC, and 71–73% for BOD. These parameters together with
the calculated electron equivalents for the COD values and the
summarized average MTBE, benzene, iron(II) and ammonium
concentrations are shown (Table 4). To facilitate better
comparison, the organic carbon content based on the MTBE
and benzene concentrations was calculated and individual
POC/NPOC values are provided for inflow and outflow
groundwaters. The TOC fractions in the inflow were 29.5% and
70.5% for NPOC and POC, respectively. The NPOC showed no
februa
rymarc
hap
rilmay jun
e july
augu
st
septe
mber
octob
er
nove
mber
dece
mber
% b
enze
ne d
egra
ders
0.00.20.40.60.8
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
b
r 2008. (b) Percentage of benzene metabolizing bacteria
Fig. 7 – Cluster analysis of DGGE profiles of water and textile samples, collected in August 08; Lanes were clustered by
Pearson correlation and UPGMA.
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 61792
significant decrease whereas the POC decreased up to 92%, and
equals the calculated sum of MTBE and benzene in mg C/L. In
fact, this reduction is mainly due to benzene removal. By
comparing calculated electron equivalents, we can also
conclude that the differences in COD, are mainly due to
reductions in benzene concentrations. The removal of iron(II)
accounts for 2% of the difference in electron equivalents. The
oxygen demand for ammonium oxidation was not assessed by
the COD measurement and thus did not contribute to this
parameter. Calculated electron equivalents necessary for
oxidation of the ammonium to nitrate in the inflow ground-
water (26 � 2 mM) are nearly double the amount of oxygen
compared to the COD. BOD 5 and BOD 10 values were
comparable to the results obtained from the TOC and COD
measurements. Regarding total values, the BOD measured was
50–58% and 34–37% of the COD at the inflow and outflows,
respectively.
Table 4 – Total organic carbon (TOC), chemical oxygendemand (COD) and biological oxygen demand (BOD)values of the inflowing and outflowing groundwater ofthe two basins. Numbers represent averages from 14months of operation with standard deviations (±SD) for36–39 measurements. For comparison, electronequivalents for MTBE, benzene, ammonium and iron areshown as well.
Units Inflow Outflowcoconut
Outflowpolyprop.
TOC (POC þ NPOC) mg C/L 42 � 3 17 � 4 18 � 3
NPOC mg C/L 12 � 2 15 � 2 16 � 3
POC mg C/L 29 � 2 3 � 3 2 � 2
MTBE þ benzene mg C/L 21 � 3 1.7 � 0.6 1.7 � 0.4
COD mg/L 119 � 7 46 � 13 47 � 9
COD eeq 14.9 � 0.8 6 � 2 6 � 1
MTBE þ benzene eeq 9 � 1 0.9 � 0.3 0.9 � 0.2
Iron(II) eeq 0.29 � 0.07 0.07 � 0.05 0.09 � 0.04
Ammonium eeq 26 � 2 25 � 2 25 � 2
BOD 5 mg/L 60 � 10 17 � 10 16 � 8
BOD 10 mg/L 69 � 9 20 � 11 19 � 9
#eeq: electron equivalents [mM].
#POC: purgeable organic carbon.
#NPOC: non-purgeable organic carbon.
4. Discussion
4.1. Contaminant removal
Biodegradation of contaminants in aquifers is often rate-
limited by the availability of oxygen. In this study, we inves-
tigated the direct implementation of an aerated treatment
system in a shallow aquifer to stimulate aerobic degradation
processes. A transition zone between an anoxic compartment
in the inflow and an oxic compartment in the outflow area
was simulated by adjusting an oxygen gradient from 0 mg/L in
the inflow, 0.5 mg/L in the middle, to 1 mg/L in the outflow
areas of the systems. Low oxygen concentrations were
selected to minimize volatilization losses and maximize
biodegradation rates for the contaminants. Our system was
designed to minimize clogging and may be used for ground-
waters unsuitable for conventional reactive barrier treat-
ments. After treatment using our methods, water may be
amended with additional electron acceptors and released into
an aquifer or discharged into a traditional drainage system.
4.1.1. Organic carbon and oxygen demand reductionBoth systems showed nearly complete and constant benzene
removal down to drinking water limits. This indicates that the
system is stable and operates independent from water
temperature fluctuations (from 3 to 25 �C). The reduction in
TOC and BOD was caused by the removal of purgeable organic
carbon whereas the amount of non-purgeable organic carbon
remained stable. The removed purgeable organic carbon
content originated from MTBE and benzene, as confirmed by
calculations of the organic carbon amounts and the respective
electron equivalents (Table 4). The organic carbon responsible
for residual TOC and COD was not studied in detail but likely
originates from humic substances, as well as allochthonous
and autochthonous organic carbon like proteins, peptides,
polysaccharides, and pedogenic or aquagenic refractory
compounds (Oliveira et al., 2006). However, it is important to
note that benzene may be oxidized incompletely in the COD
measurement due to the low boiling point temperature
(Dedkov et al., 2000). This can lead to a slight underestimation
of the COD in the inflow. Other volatile organic contaminants
such as toluene, xylene, trimethylbenzene and naphthalene
were considered negligible due to low average inflow
concentrations of up to 0.4 mg/L and complete removal in the
outflow (data not shown). Iron(II) was not completely absent
in the outflows. Inflowing iron(II) was probably not completely
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 6 1793
oxidized in the basins due to the low oxygen concentrations,
or iron(II) might also be produced by iron reduction in anoxic
zones of the system, e.g. deeper biofilms layers. Regarding the
calculated electron equivalents, the removal of iron(II) is of
minor importance for the reduction of the COD in this system
(Table 4).
4.1.2. BenzeneEffective benzene biodegradation was expected, since this
pollutant has been degraded in environmental systems even
under hypoxic conditions (Agteren et al., 1998; Yerushalmi
et al., 2002) and treatment efficiencies for aerobic bioreactors
up to 100% have been described. However, most of the studies
did not take into account the role of stripping of VOC due to
aeration (Farhadian et al., 2008). In our systems, benzene was
almost completely degraded in the first third of the basin,
a zone which had not been aerated. Presumably, the oxygen
needed for benzene breakdown was likely provided by the
photosynthetic activity of algae as well as from oxygen
enriched water circulating back from the next aeration
modules. In addition, diurnal temperature fluctuations of the
ambient air may have triggered convective flow and transport
of oxygen to the bottom of the system, as reported by Schmid
et al. (2005). Microcosm experiments showed that sorption of
benzene and MTBE to the textile material in this system was
negligible (data not shown). Thus, benzene was rapidly bio-
degraded in our system, and only small amounts were vola-
tilized to the atmosphere. Additionally, this indicates that the
maximum treatment capacity for this system was not reached
with the actual groundwater load of benzene. System perfor-
mance for benzene was similar for both geotextiles used.
4.1.3. MTBEMTBE biodegradation was by far not as effective as benzene
biodegradation. MTBE is more resistant to enzymatic attacks
due to its tertiary carbon atom and the ether bond (Davidson
and Creek, 2000). However, an MTBE-degrading b-proteo-
bacterium strain L108, capable of growing on fuel oxygenate
ethers as the sole source of carbon and energy, was previously
isolated from the Leuna site (Rohwerder et al., 2006) and
demonstrates a natural attenuation potential for MTBE at this
location. Volatilization analyses showed that 48–53% of the
removed MTBE was stripped. The residual amount might be
biodegraded, although biodegradation could not be demon-
strated in vitro during the first 6 months of system operation.
However, from August ‘08, the coconut textile basin showed
increasing MTBE removal rates of up to 67% in December ‘08
(Fig. 4). Since the Henry coefficient is influenced by tempera-
ture, the higher amount of removal in the late summer period
could be related to the higher water temperature, and there-
fore to a higher volatilization rate of MTBE. However, in this
case, both systems should have been influenced in the same
manner, a result not observed. Indeed, MTBE biodegradation
was confirmed by laboratory microcosm experiments per-
formed with coconut textile samples in August ‘08, around 8
months after operation was initiated, while no biodegradation
was observed for polypropylene after 100 days of incubation
(Fig. 5). Maximum growth rates (mmax) for aerobic MTBE
degraders are an order of magnitude lower than reported for
BTEX and nitrifying organisms (Waul et al., 2007), and this
may have led to extensive lag-phases for MTBE degraders or
even MTBE degraders being out-competed in some sections of
the system. Further research is needed to determine if auxil-
iary substances provided by the coconut material which might
consist of cellulose, hemicellulose, lignin, pectin, waxes, and
water soluble substances (Bledzki and Gassan, 1999) enhance
or stimulate the growth of aerobic MTBE degraders.
4.1.4. AmmoniumAmmonium concentrations decreased only slightly from an
average concentration of 59 mg/L in the inflow to 56 mg/L in
the outflows (Table 1), indicating inhibited or absent nitrifi-
cation during the first 14 months of operation. Nitrification is
a chemolithoautotrophic process that is performed in two
sequential oxygen demanding steps. Using a representative
measurement of yield and oxygen consumption by Nitro-
somonas and Nitrobacter, (i) the oxidation of ammonium to
nitrite requires 3.16 mg O2/mg NH4–N or 1.38 mol O2/mol NH4þ
and (ii) the oxidation of nitrite to nitrate requires 1.11 mg O2/
mg NO2–N or 0.49 mol O2/mol NO2� (Ahn, 2006), resulting in
a demand of 6.1 mM O2 or 24.3 mM electron equivalents
required for complete oxidation of 59 mg/L ammonium. This
value is in agreement with our calculation of 26� 2 mM for the
theoretical requirement of electron equivalents (Table 4). In
laboratory experiments, it was shown that oxygen concen-
trations higher than 0.1–0.2 mg/L support growth of ammo-
nium oxidizers. Even at lower oxygen concentrations down to
0.05 mg/L, nitrification was observed for a certain time (Abe-
liovich, 1987). Hence, the oxygen concentrations in the basins
(0.5–1 mg/L) should have been sufficient for ammonium
oxidation, as well as the observed pH range of 7.1 in the
inflowing groundwater and 7.5 in the effluent from the basins
(Ahn, 2006). However, nitrifying bacteria such as Nitrosomonas
and Nitrobacter are characterized by low growth yields of
0.15 mg cells/mg NH4–N and 0.02 mg cells/mg NO2–N oxidized,
respectively (Ahn, 2006). It was described that a high organic
loading can result in decreased nitrification, probably due to
faster growing heterotrophic bacteria dominating the surface
of the biofilm, and leads to oxygen limitations for the nitri-
fying bacteria growing deeper inside the biofilm (Elenter et al.,
2007). We speculate that low growth rates for nitrifiers in
combination with competition by heterotrophic bacteria,
suboptimal growth conditions, and possibly grazing of nitri-
fying bacteria by higher trophic level organisms (e.g. protozoa)
might be responsible for the low nitrification rate observed in
the system thus far.
4.1.5. PhosphateAround 1.4 mg/L phosphate and 0.9 mg/L phosphorous
entered the system on average. Soil microbial biomass ratios
were suggested to be related to Redfield ratios of 60:7:1 for
C:N:P (Cleveland and Liptzin, 2007). Based on these ratios and
considering reported growth yields for benzene (Reardon
et al., 2000), MTBE (Muller et al., 2007), ammonium, and nitrite
(Ahn, 2006) of 1.2 g/g, 0.869 g/g, 0.15 g/g and 0.02 g/g, respec-
tively, the system was not considered to be limited by phos-
phorous (see supplementary information). The theoretical
phosphorous uptake of 0.9 mg P/L matches the inflow
concentration of phosphorous and may represent an over-
estimation because other elements, e.g. oxygen, hydrogen,
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 61794
and sulphur are not considered in the biomass. Consequently,
phosphorous was always detected in the outflow of the
system at concentrations of 0.5 � 0.2 mg/L. The removal of up
to 0.4 mg/L phosphorous in the system might be a result of
biomass formation. However, the calculated amount of
phosphorus necessary for complete degradation of benzene,
MTBE and ammonium is 1.35 mg/L (see supplementary
information) and indicates that phosphorus might become
a growth-limiting factor during higher overall degradation
rates.
4.2. Investigation of biofilms and microbial community
The textiles in the aerated pond system enhanced degradation
rates for organic contaminates by supporting the develop-
ment of contaminant-degrading biofilms.
Significant biofilms were formed on both textile types, as
observed by repeated CLSM-analysis of textile samples. Algae
and bacteria were found along all sampling depths throughout
the experimental period. However the upper portion was
dominated by algae and cyanobacteria, and the middle and
bottom portions by bacteria (see supplementary data). Freshly
sampled textiles showed no lag-phase for aerobic benzene
degradation in laboratory microcosm experiments, demon-
strating the presence of active benzene degrading microor-
ganisms in textile biofilms within the system (Fig. 3). Up to
76% of the total MPNs from the system were accounted for in
the selective benzene enrichments, indicating the presence
and retention of a selectively-enriched benzene degrading
community. The two geotextiles showed similar benzene
degrading performance, suggesting that it is not the nature of
the material but rather the surface area for biofilm formation
that is important for the performance of the system.
Furthermore, we can extrapolate that larger areas of textiles
for biofilm growth would generally enhance the performance
of the system with regard to benzene degradation rates (Fig. 2).
The inflowing anoxic groundwater contained very low
numbers of cultivable aerobic bacteria (around 103 MPN/mL).
However, the number of aerobic benzene metabolizing
bacteria at the inflow was only tenfold lower (Fig. 6), demon-
strating that the inflow is a continuous source of aerobic
benzene degraders for the trench system but also that an
enrichment of aerobic benzene degraders had already taken
place in the groundwater.
The microbial communities from the inflowing ground-
water, the basin water, and the textile samples changed due to
the different environmental parameters within each
compartment (Fig. 7). The inflowing groundwater is anoxic,
and major parts of the basins showed minimum oxygen
concentrations between 0.0 and 1.0 mg/L. Thus, the ground-
water community may be comprised of facultative and strict
anaerobes, whereas the basin communities may be domi-
nated by facultative or obligate aerobes. Corresponding to this
hypothesis, the groundwater community was significantly
different to the basin community. Furthermore, the commu-
nities colonizing the textiles showed little similarity to the
water communities. This confirms the results from the MPN
experiments showing that the textiles support the formation
of a specialized community for contaminant degradation and
therefore can enhance the biodegradation capacity of the
community. Community profiles from the mats also differed
and suggest that specific surface properties of coconut and
polypropylene support the growth on distinct biofilms. For
example, the density of the polypropylene fleece compared to
the coconut fibre material could lead to isolated anaerobic
pockets within the material. Further bacterial community
analysis is needed to confirm this hypothesis.
5. Conclusion
The following conclusions can be drawn from the current
study:
1. Biofilms developed on both textile materials within two
months after initiating system operation. Results from
microbial community analysis and laboratory microcosm
experiments indicate that the development of a distinct
microbial community, adapted to contaminant degrada-
tion, on the surfaces of both tested geotextile materials was
achieved.
2. Benzene was effectively biodegraded from 20 mg/L inflow
concentration to less than 2 mg/L (99.9%) at the outflow of
both pond variants, indicating that surface provided for
growth of biofilms is a major factor for improving biodeg-
radation rates.
3. During the first year, inflow concentration reductions from
4 mg/L to 2.5 mg/L (on average 38% removal) were observed
for MTBE and were not sufficient to reach drinking water
quality standards; MTBE also showed high stripping rates
(48–53%). After 8 months of system operation, the basin
equipped with coconut fibre textile started to increasingly
degrade MTBE, an observation confirmed in laboratory
microcosm experiments.
4. Low degradation rates were observed for ammonium,
indicating a limitation or inhibition by system conditions or
outcompeting of nitrifyiers by heterotrophic organisms.
5. The COD was significantly depleted in the system from
119 mg/L in the inflow to 46–47 mg/L in the outflows (61%
removal) showing the potential of the trench to improve
water quality.
6. The textile materials, coconut fibre mats and polypropylene
fleece, are both suitable for support and development of
contaminant-degrading bacterial biofilms and could be an
option for low-cost enhancement of degradation capacities
of contaminant treatment ponds. Studies on the long-term
durability as well as the long-term performance of both
materials are currently in progress.
Acknowledgements
We thank Ute Kuhlicke for operating the CLSM, Krista Ver-
steeg for technical assistance in the MPN series, Marcell
Nikolausz for help and advice with DGGE analysis, Peter
Mosig, Stefan Kukla and Francesca Loper for technical assis-
tance in the system operation and sampling, and the depart-
ment of Analytical Chemistry as well as Grit Weichert of the
Centre for Environmental Biotechnology for analytical
w a t e r r e s e a r c h 4 4 ( 2 0 1 0 ) 1 7 8 5 – 1 7 9 6 1795
support. We acknowledge the suggestions and recommenda-
tions of two unknown reviewers, Brandon E. L. Morris and
Monica Rosell for greatly improving the quality of the manu-
script. This work was supported by the Helmholtz Centre for
Environmental Research – UFZ in the scope of the SAFIRA II
Research Programme (Revitalization of Contaminated Land
and Groundwater at Megasites, subproject ‘‘Compartment
Transfer - CoTra’’).
Appendix.Supplementary data
The supplementary materials can be viewed at doi:10.1016/j.
watres.2009.12.002.
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