ITEM METADATA RECORD
Title: Risk assessment of heavy metal pollution in alluvial soils and sediments of the Grote Beek river (Belgium)
Authors: Cappuyns, Valérie
Swennen, Rudy
Issue Date: 2003
Host Document: Consoil 2003, Abstracts of presentations of the 8th International FZK/TNO Conference on Contaminated Soil pages:1-9
Conference: Consoil 2003, Abstracts of presentations of the 8th International FZK/TNO Conference on Contaminated Soil edition:8 location:Edinburgh
Abstract: Consoil 2003
RISK ASSESSMENT OF HEAVY METAL POLLUTION IN ALLUVIAL SOILS AND SEDIMENTS
OF THE GROTE BEEK RIVER (BELGIUM)
Valérie Cappuyns, Rudy Swennen and Katrien De Nil
Katholieke Universiteit Leuven, Fysico-chemische Geologie, Celestijnenlaan 200C, 3001 Heverlee, Belgium
Tel. +3216327297, Fax. +3216327981, e-mail: Valerie.Cappuyns@geo.kuleuven.ac.be
1. Introduction
Wastewater discharge from the processing of phosphate ores has contributed to pollution by heavy metals
and As in soils adjoining the Grote Beek river (15km long) (Central Belgium). Moreover, elevated chloride
concentrations comparable to concentrations in seawater are discharged into the river. The study area is
characterized by sandy soils and underlain by the Diestian Formation, containing between 30-40%
glauconite. Organic- and iron-rich wetland soils have developed along this stream. The river follows a very
meandering path and is characterised by several flooding zones that are inundated a few times a year. The
analysis of soil and porewater samples from the area indicated a severe contamination of the floodplain soils
and sediments with Cd, Cu, Ni, Zn, Ba and As (up to 276, 531, 172, 7507, 523 and 496 mg/kg respectively)
(Cappuyns et al, 2002). The porewater contained elevated concentrations of Cd, Cu, Ni, Zn and Ba (up to
43, 187, 138, 1034 and 4432 μg/l respectively), while As did not seem of immediate environmental concern.
However, porewater composition only gives an indication on the availability and mobility of heavy metals in
soils on one specific moment, yet fluctuations in porewater compositions often occur. To perform a risk
assessment, predictions about the long-term behaviour of pollutants are necessary, which cannot only rely
on porewater analysis. Also the capacity controlling parameters (CCP’s) have to be taken into account since
they control geochemical and microbiological processes that determine the fate of pollutants in soils and
sediments (Stigliani et al., 1991). CEC, pH, redox potential, soil organic matter, salinity and microbiological
activity are the CCP’s of soils and sediments for heavy metals. In this study, different extractions and
leaching tests were used to assess the influence of CCP’s on heavy metal behaviour and to estimate the
potential (long-term) mobility of heavy metals. Present discussion focuses on the results obtained for two
samples (an overbank sediment rich in Fe and organic matter and a dredged sediment that was disposed on
the riverbank) representative for the studied area.
2. Material and methods
Physico-chemical analysis, extractions and leaching tests were performed on two oven-dry samples, one
representative for overbank sediments (O) and the second for dredged sediments (D). pH(H2O) was
measured in a soil/water suspension (1/2.5). Organic carbon was determined according to the Walkey and
Black method (Nelson and Somers, 1982); effective cation exchange capacities (ECEC) were analyzed
applying the ‘silver thiourea method’ (Van Reeuwijk, 1992). Total element concentrations (Al, As, Ba, Cd, Co,
Cr, Cu, Ni, Pb, Zn, Fe, Mn, K, P and Ca) were determined after dissolution of the samples with a mixture of 3
concentrated acids (4 ml HClconc, 2 ml HNO3conc and 2 ml HFconc). These solutions were analyzed by AAS
(VarianÒ Techtron AA6) for Ca, Fe, K and Al. For As, Ba, Cd, Co, Cr, Cu, Ni, Pb, Zn, Mn and P a multi
element analysis by ICP-MS (HP 4500 series) was carried out. A certified reference material (Montana Soil
2710) and sample duplicates were used for quality assurance of the analytical data. A mineralogical sample
characterization was conducted by X-ray diffraction.
The influence of reducing conditions on heavy metal mobility was assessed by making use of a reducing
agent (NH2OH.HCl in 25% CH3COOH) at different concentrations (Davranche and Bollinger, 2002). 30 ml of
NH2OH.HCl in 25% CH3COOH (0.01, 0.05, 0.1, 0.2 and 0.5 M) was added to 0.2 g of oven dry soil in a 50 ml
centrifuge tube. The experiment was conducted at 96 °C with a 5 h equilibration time as determined by
Tessier et al. (1979). After reaction, the suspension was centrifuged (2500 r.p.m., 10 min.), decanted off and
filtered (Millipore 0.45 μm).
2
To investigate the impact of elevated Cl- concentrations in the floodwater on heavy metal mobility, extractions
with Cl- solutions at different concentrations (0, 250, 500, 1000, 2000, 4000 and 6000 mg/l) were performed.
20 ml of a NaCl solution was added to 1 g of sample in a polyethylene centrifuge tube, shaken on a
reciprocal shaker during 10 h, centrifuged (3500 r.p.m, 10 min.), decanted off and filtered (Millipore 0.45μm).
The samples were acidified and stored at 4°C until their analysis (ICP-MS)
A modified BCR-extraction scheme was applied (Table 1). Because of the elevated Fe-content of the
samples, a reducing extraction with NH2OH.HCl 0.5 M was added to the original sequence. pHstat leaching
tests with continuous setpoint titration (pH 2, 4, 6, 8 en 10) were used to assess long-term effects of pH on
heavy metal mobility and predict possible chemical time bombs (cfr. Van Herreweghe et al., 2002). The pHstat
tests were conducted during 96 h. However the pHstat test for sample O was prolonged to 176 h because a
sudden increase in the BNC curve at pH 10 after 71 h. Reaction kinetics was also considered by
mathematical fitting of leaching curves as a function of time (Schwarz et al., 1999).
A Cascade Leaching Test (NEN 7341) was used to estimate the actual leachability of heavy metals in the
samples. The extractions were carried out in triplicate in acid rinsed 50 ml polyethylene centrifuge tubes with
screw caps. 30 ml of distilled water, acidified to pH 4 with ultrapure HNO3 was added to 1.5 g of dry sediment
sample. The suspension was shaken during 22 h on a reciprocal shaker, centrifuged (3000 rpm, 10 min),
decanted off and filtered (0.45 μm). This extraction was repeated until five fractions, with a solid/liquid ratios
ranging from 20 to 100 were obtained. The cascade leaching test was also performed on Ca3(PO4)2 (sample
C) en Fe-oxide (sample F) subsamples that were separated from the dredged sediment (sample D). Element
concentrations in the leachates of the pHstat and cascade leaching tests were measured with ICP-MS. SO4
2-
was determined by turbidimetry (Vogel, 1961).
Table 1: Modified BCR extraction scheme
Fraction Chemical agents Duration
Step 1 Acid-extractable CH3COOH 0.11M 16 h
Step 2a Reducible NH2OH.HCl 0.1M, pH 2 16 h
Step 2b Reducible NH2OH.HCl 0.5M in CH3COOH 25%, 90°C 5 h
Step 3 Oxidisable H2O2 15%, pH 2, 80°C; CH3COONH4 2x evaporate; 16 h
Step 4 Residual HNO3/HCl/HF conc
3. Results
Total concentrations of heavy metals are shown in Table 2. Intervention Values for Soil Contamination
(Anonymous, 1995) were exceeded for Cd, As (both samples) and Zn (sample D). Quartz, hematite,
amorphous Fe-oxides, pyrrhothite and glauconite were identified in the overbank sediment (O) by XRDanalysis.
The dredged sediment (D) contained amorphous Fe-oxides, quartz, glauconite and Ca3(PO4)2.
Ca3(PO4)2 and Fe-oxide grains were separated manually from the dredged sediment sample (D),
characterised by XRD and analysed for major and trace elements. Amorphous Fe-oxides (F) were enriched
in As and Ni. Small white particles which consisted of Ca3(PO4)2 (C) contained elevated concentrations of
Cd, Zn, Cu and As .
Table 2: Concentrations of heavy metals, As, Fe, organic carbon (org. C), CEC, pH (H2O) in the 2 samples (D=
dredged sediment, O= overbank sediment, C= Ca3(PO4)2, F=Fe-oxide). NA = Not Analysed
Cr Ni Cu Zn As Cd Ba Pb P Ca Fe Org. C CEC pH
mg/kg mg/kg mg/kg mg/kg mg/kg mg/kg mg/kg mg/kg mg/kg % % % cmol/kg
D 84 108 182 4083 254 213 753 84 20521 1.67 8,2 8,8 19.2 6,8
O 44 30 10 265 176 40 292 67 3920 0.53 14.7 9,0 31.2 6,3
C 119 78 462 8025 305 374 516 23 122659 3.43 0.47 NA NA NA
F 41 183 67 1773 446 210 350 27 12336 0.93 23.5 NA NA NA
3
3.1 Single Extractions
EDTA was capable of extracting between 50 to 100 % of the total concentrations of Cd, Ni, Zn, Cu an Pb.
Only negligible amounts of Ba, As and Cr were released (Fig. 1). Cl- had the most significant effect on the
leaching of Cu, Cd (Fig. 2a), Zn and Ni. In absolute concentrations the metal leachability decreased in the
order Cu > Zn > Cd > Ni. Relative to their total concentrations in soil the order was: Cu > Ni, Cd > Zn.
Stronger reducing conditions induced a significant increase of the release As (Fig. 2b), Pb, Ba and Cr.
3.2 Sequential extractions
The fractionation of trace elements was
very similar for both samples. Zn, Ni and
Cd were principally released during the
CH3COOH (Step 1) and the NH2OH.HCl
0.1M (Step 2) extractions. For Cr an As,
the residual fraction prevailed, while Pb
was mostly recovered in Step 2b and 3. In
the dredged sediment, a low but
significant As-concentration (6 mg/kg) was
extracted with CH3COOH (Step 1) and
EDTA. Cu and Ba are generally
characterized by a considerable reducible
fraction (Step 2a) and a significant amount
of Cu was also released during the
oxidising extraction (Step 3).
Figure 1: Heavy metal and As fractionation according to the BCR
extraction (Table 1) in sample D (a) and O (b)
Figure 2: (a) Leaching of Cd and Cu as a function of Cl- concentration (b) Leaching of As and Fe as a function of
NH2OH.HCl concentrations.
3.3 Leaching tests
Heavy metal concentrations in the leachates of the cascade test performed on the dredged sediment (D)
were significantly higher than for the overbank sediment (O) (Table 3). Although Cu, Ni, Zn, As, Cd and Baconcentrations
were in the μg/l range for sample D, only Zn, Ni and Ba were leached from sample O in
significant amount. The pH remained more or less constant during the leaching experiment. Nevertheless,
sample O had a lower acid neutralizing capacity than sample D, as the pH of the extracts was on the
average 0.5 units lower in the overbank sediment than for the dredged sediment.
4
Element concentrations in the leachates of the pHstat tests after 96 h (D) and 167 h (O) at different pH values
are given in Table 4. The dredged sediment is characterised by an elevated acid neutralising capacity
(ANC). In general, the highest pollutant concentrations are released at the lowest pH values, except As in
sample O, which is only leached at pH 10. In this sample also a considerable SO4
2- and DOC release was
observed at pH 10.
Table 3: Concentrations of selected trace elements (μg/l) and pH of the leachates of the cascade leaching test
(mean ± standard deviation of three replicates). DL = below detection limit
L/S 20 40 60 80 100
D pH 7 ± 0,08 6,97 ± 0,04 7,06 ± 0,11 7,05 ± 0,01 6,95 ± 0,13
Ca 18837 ± 1107 6158 ± 456 5215 ± 505 4658 ± 57 3859 ± 122
Fe 107 ± 58 447 ± 95 151 ± 43 351 ± 126 320 ± 15
P 1290 ± 5 2271 ± 130 1692 ± 153 1805 ± 47 1654 ± 46
Ni 51 ± 6,0 35,2 ± 2,5 18,8 ± 1,2 16,1 ± 0,5 11,9 ± 0,3
Cu 59 ± 3,1 43,6 ± 4,1 20,9 ± 6,2 15,9 ± 1,6 17,3 ± 3,4
Zn 60 ± 11 53 ± 14 76 ± 32 25 ± 5 28 ± 9
As 22 ± 0,5 37,9 ± 1,8 28,2 ± 2,5 29,4 ± 0,9 26,8 ± 1,0
Cd 2 ± 0,49 1,65 ± 0,93 0,18 ± 0,16 0,60 ± 0,67 DL
Ba 10 ± 1,46 6,82 ± 0,69 3,75 ± 0,55 3,89 ± 0,87 3,61 ± 0,24
O pH 6,07 ± 0,04 6,43 ± 0,07 6,62 ± 0,14 6,57 ± 0,22 6,51 ± 0,21
Ca 35060 ± 465 5908 ± 153 3328 ± 141 3222 ± 191 2368 ± 98
Fe 113 ± 7 743 ± 189 505 ± 216 765 ± 114 721 ± 80
P DL DL DL DL DL
Ni 18 ± 1,7 15,7 ± 1,0 8,0 ± 1,2 8,0 ± 1,1 5,7 ± 3,4
Cu 0,1 ± 0,1 DL DL DL 1,0 ± 1,8
Zn 27 ± 1 18 ± 13 20 ± 4 4 ± 1 13 ± 11
As DL 0,2 ± 0,2 DL 0,1 ± 0,2 0,1 ± 0,1
Cd 0,86 ± 0,03 DL DL DL DL
Ba 29,04 ± 0,80 8,00 ± 0,82 3,52 ± 0,80 4,63 ± 1,36 3,31 ± 0,66
Table 4: pHstat leaching of sample D and O. ‘Time’ gives the time to reach a certain ANC
assuming a worst case scenario. DL = below detection limit
D O
pH2 pH4 pH6 pHsoil pH8 pH10 pH2 pH4 pH6 pHsoil pH8 pH10
Ca mg/kg 22841 8537 1827 401 113 92 6712 4256 1401 779 299 250
Fe mg/kg 206 25 4 3 7 160 876 10 <1 <1 12 325
P mg/kg 7813 1155 48 22 66 504 2 3 2 1 8 128
Ni mg/kg 99 25 1 1 2 4 38 3 0,39 0,34 1 6
Cu mg/kg 67 2 DL 1 2 15 1 DL DL DL 0,28 2
Zn mg/kg 4066 347 5 0,19 0,08 3 276 148 4 2 3 8
As mg/kg 14 6 1 1 1 11 DL DL DL DL DL 2
Cd mg/kg 140 10 0,42 0,06 0,08 0,41 40 3 0,1 DL DL 0,3
Ba mg/kg 43 7 1 DL DL 1 205 8 1 1 DL 1
SO4
2- mg/kg 61 22 20 24 45 192 24 27 43 147 58 489
DOC mg/kg 174 57 32 32 95 339 46 45 76 90 174 828
ANC/BNC meq/kg 2331 680 64 - 276 788 994 409 46 - 208 590
Time year 1485 433 41 - - - 633 261 29 - - -
4. Discussion
4.1 Sequential extractions and EDTA
The pool of potentially available metals consists of those fractions, which can deliver metals from the solid
phase of the soil to the soil solution in a relatively short time period. EDTA extractions are often used to
estimate this potentially available pool. Sequential extractions divide the total content of heavy metals in a
soil sample in different pools according to their reactivity. Assuming that stronger chemical reagents can be
5
related to lower potential mobility and availability, metals released at the beginning of the sequence have a
higher potential availability then the fractions obtained at the end.
When comparing the information on heavy metal mobility obtained from EDTA-extraction and sequential
extraction, (Fig. 1) some apparent incompatibilities can be deduced. Cd, Zn and Ni were mostly extracted in
the first two steps of the sequential extraction, pointing to a considerable potential availability. This is
confirmed by the almost complete extraction of these elements by EDTA. Cu and Pb displayed a rather low
potential availability according to the sequential extraction, still Cu is completely extracted by EDTA and also
a significant amount of Pb (50-70% of its total concentration) was released by EDTA, suggesting an
important potential availability of these elements. This may indicate that organic matter, which is also
dissolved by EDTA, is an important sink for Cu. Another possibility is the readsorption of Pb on Cu on nondissolved
compounds during the sequential extraction, while EDTA forms stable complexes with the
extracted elements, keeping them in solution.
4.2 Reducing conditions
Fe-oxides have a high capacity to adsorb heavy metal cations and oxyanions. In poorly drained soils with a
high water table, a rise of the piezometric level or flooding of the soil will cause a redistribution or depletion of
Fe-oxides and a release of contaminants. Although the reducing conditions brought about by NH2OH.HCl are
not representative for a flooding period of a few days up to a few weeks, they give an indication on the
reactivity of Fe-oxides and the potential mobilisation of metals.
Cd, Zn, Ni and Cu leachability do not significantly increase with increasing NH2OH.HCl concentrations,
indicating that they are not incorporated in stable Fe-oxides. Increasing reducing conditions have the most
significant effect for As, Pb, Ba and Cr. This suggests that stable (crystalline) Fe-oxides are an important sink
for As, Ba, Pb and Cr. These results also show that the modification of the BCR extraction scheme, which
consisted on the addition of a strongly reducing extraction step, was most important for As, Ba, Pb and Cr.
Although a considerable readsorption of As is possible at the low pH value of the extract, CH3COOH seems
to significantly diminish this readsorption. A different reactivity of Fe-oxides in sample D and O, related to a
different crystallinity, was apparent from the amount of Fe extracted by increasing NH2OH.HCl
concentrations.
4.3 Actual availability: Cascade leaching test and influence of chlorides
Although the EDTA extraction indicates a considerable potential availability of Zn, Ni and Cd, the actual
leachability of Zn, Cd and Cu (cascade leaching test) is relatively low with respectively less than 1%, 1% and
4% of the potentially extractable pool of the dredged sediment that was released. The amount of Ni and As
released in the cascade leaching test represent about 25% of the potentially available pool. A completely
different heavy metal mobility is obtained for the overbank sediment, in which only Zn, Ni and Ba have
significant but low actually available pool (less than 2% of the potentially available pool for Zn and Ni. 30%
for Ba). No As and Cd were released from this sample during the cascade leaching test.
However, when the elevated Cl- concentrations in the riverwater and the porewater are taken into account, a
much higher actual availability of Cd, Cu and to a lesser extend Zn and Ni is observed, pointing to the
importance of chlorides towards the mobility of these elements. Increasing the Cl-- concentration from 0 mg/l
to 6000 mg/l resulted in a 9-fold increase in the mobility of Cd and the release of Cu was multiplied by a
factor 3 (D) to 10 (O). Doner (1978) studied the mobility of chlorocomplexes through soil and found that Clhad
a marked effect on the mobility of Cd, and to a lesser extend on Ni and Cu. The mixing of humic bound
metals with seawater can release these metals and make them more available for uptake (Lores and
Pennock, 1998).
Additional information on the processes that are responsible for heavy metal release in the dredged
sediment is obtained from the cascade leaching test on Ca3(PO4)2 (C) and Fe-oxides (F). Desorption of Ni
from Fe-oxides is more important than from the bulk sample and from Ca3(PO4)2. Arsenic on the other hand
is principally released from Ca3(PO4)2, which thus represents a major sink of As in the dredged sediment.
6
Notice that very little As is released from the Fe-oxides. More Cd, Zn and Cu are released from the bulk
sample than from the Fe-oxides and Ca3(PO4)2, indicating that other components of the dredged material
(e.g. clays and organic matter) are also responsible for the release of Cd, Zn and Cu.
4.4 pHstat leaching tests
The amount of acid added to a soil-water suspension to keep the pH at a predefined constant value gives an
estimation of the acid neutralizing capacity (ANC) of this sample. ANC depends on the reference pH chosen
and on the duration of the pHstat experiment. Acid buffering capacities of sample D display a different pattern
as for sample O. While ANC has an asymptotical behaviour as a function of time in samples D, a steeper
curve is obtained for sample O. ANC curves obtained in the pHstat tests with continuous setpoint titration
were described according to Schwartz et al. (1999). The proton buffering capacity of soils during pHstat
experiments can be described as the sum of two independent first-order reactions:
Hb(t) = BC1 (1- exp(-k1t)) + BC2 (1-exp(-k2t)) (1)
With: Hb(t) = buffered protons at time t (meq/kg), BCi = buffering capacity of system i (meq/kg), ki is the rate
coefficient of the buffer system i and t is the time after starting the titration (h). Analogously, heavy metal
release as a function of time was described in a similar way as the ANC. The cumulative release of an
element m at time t is given by:
RLm = RC1(1- exp(-r1t)) + RC2(1- exp(-r2t)) (2)
With RCi = the release capacity of buffer system I, ri is the rate coefficient of the buffersystem i [h-1] and t is
the time after starting the titration.
As pH increases from 2® 4 ® 6 in the respective pHstat experiments, the release rate (r1) of most elements
decreases (Fig. 4). In the dredged sediment, Zn, Cd, Ni and Cu show a rapid initial release at pH 2 and 4, (r1
= 0.4-0.3 h-1) while the second buffer system, according to equation 2, is characterised by a release rate that
is an order of magnitude lower (r2 = 0.02-0.03 h-1). The leaching curve of these elements also follows the
same pattern as the ANC curve. The amount of cations released is however higher than the amount of
protons introduced into the system (ANC). This was also observed by Schwartz et al. (1999). As, P and Ba
have a somewhat different behaviour since the maximal release of these elements occurs after 6 hours, after
which their concentrations in the solution start to decrease. Readsorption of negatively charged arsenate and
phosphate ions on the positively charged soil surface can explain the behaviour of As and P (Fig. 6a). The
decrease in Ba concentrations with time, which is less pronounced than for As and P, seems to be caused
by the precipitation of BaSO4. While competition between As (AsO4
3- and HAsO4
2-) or P (PO4
3- and HPO4
2-)
and OH- ions, that were added to the system, explains for the release of As and P at pH 10 in the dredged
sediment, complexation with DOC is an important release mechanism for Cu.
Fig. 3: Cumulative leaching of Cu, Ni and As from sample D ( ),F (Fe-oxide) ( ) and C (Ca3(PO4)2 ( )
7
Desorption of heavy metals in sample O could be described by only 1 exponential equation (‘1 buffer
system), with a rather slow release rate (r = 0.02-0.08 h-1) compared to sample D. The release of Fe, Cu and
Pb at pH 2 is even linear as a function of time, indicating a slow dissolution of Fe-oxides and the concomitant
release of associated (coprecipitated) elements. The release rate of Cd displayed a constant decrease, as
the sink for Cd is progressively depleted (Fig. 5). At pH 4, only 50 % of the total amount of Cd present in
sample O was leached and almost no Fe was released. Both desorption and dissolution processes account
for the leaching of Cd in the acid pH range (pH 2). Geochemical modelling (MINTEQA2) suggests that the
Cd leached at pH 4 was desorbed from the surface of Fe-oxides. The extra amount of Cd leached at pH 2
was probably released as a result of the dissolution of poorly stable Fe-oxides. Leaching of most elements at
pH 10 in sample O started after 48 h (Fig. 6b). While a decrease in Ca-concentrations, because of
precipitation reactions and/or sorption to the negatively charged soil surface, was observed in the initial
stage of the experiment, an increase in Ca-concentrations also occurred at that time. After 71 h, a break
appeared in the BNC curve, suggesting the start of new base neutralizing reactions. The elevated DOC
concentrations indicate a considerable dissolution of organic matter. MINTEQA2 modelling however
indicates that the speciation of Ni and Zn is dominated by hydroxy-complexes (Zn(OH)2aq en Ni(OH)2aq),
while Cd mainly occurs as chlorohydroxy-complex (Cd(OH)(Cl)).
Fig. 6: (a) Leaching behaviour of As in sample D at pH 2, 4, 8 and 10 (b) Leaching behaviour of Fe, Cd and Ca
and BNC in sample O at pH 10 (% of maximal concentration, which is given between brackets (in mg/kg)).
Figure 4: Release (% of concentration after 96 h) of
Zn in sample D as a function of time during the
pHstat test at pH 2, 4 and 6. (Symbols: experimental
results, lines: fitted results according to equation 2)
Figure 5: Release rate of Cd, Fe and Ca as a
function of time during the pHstat test at pH 2
(full lines: sample O, dotted lines: sample D)
RC1 RC2 r1 r2
mg/kg h-1
pH 2 3537 644 0.38 0.02
pH 4 154 213 0.26 0.03
pH 6 2 3 0.07 0.03
a. b.
0 12 24 36 48 60 72 84 96
Time (h)
0 12 24 36 48 60 72 84 96
Time (h)
101
100
10-1
10-2
10-3
10-4
10-5
Fe
Cd
Release rate (h-1)
Release (%)
100
80
60
40
20
0
pH 2
pH 4
pH 6
8
Sequential extractions give a similar fractionation
for Cd in samples O and D (Fig. 7) and the
EDTA-extract suggests a comparable potential
availability of Cd in both samples. At pH 2 (Fig.
7) and 4, a much slower release of Cd was
nevertheless observed in the overbank sediment
(O) compared to the dredged sediment (D). This
different leaching behaviour, related to
differences in reaction kinetics, indicates a
different speciation of Cd in both samples.
The total acid deposition by rain in Flanders in 1998 amounted to 4082 equivalents of acid per hectare and
per year (Mensink et al., 2000). Assuming quasi constant emissions of SOx, NOx and NHx compounds in the
coming years and accepting that ANC is correctly estimated by the pHstat leaching tests, future contaminant
leaching can to some extent be predicted. The time needed to reach a certain ANC is given in table 3.
Assuming a worst case scenario, 2.4 mg/kg Cd will be leached from the dredged sediment and 1.06 mg/kg
from the overbank sediment in a timespan of 100 years. The considerable acid neutralizing capacity of the
dredged sediment and the elevated Fe-concentrations in sediments of the study area contribute significantly
to the immobilization of heavy metals and As.
5. Conclusion
Heavy metal mobility in alluvial sediments of the Grote Beek river was evaluated by using different
extractions and leaching techniques. The actual availability of heavy metals (Zn, Cd, Cu, Ni and As) was
higher in the dredged sediment than in the overbank sediment. Flooding of the riverbank with Cl- rich water
mainly has an influence on the mobility of Cu and Cd. While Cd was already of concern because its
concentrations exceed by far Intervention Values for Soil Contamination, the information on mobility of Cu is
very important since this metal doesn’t display excessive total concentrations in the sediments.
pHstat leaching tests were applied to study the long-term heavy metal behaviour. They also allowed to assess
reaction mechanisms involved in the release of heavy metals and to consider reaction kinetics. pHstat tests
indicated a strong binding of As with the soil matrix in the overbank sediment since almost no As was
released in the pH range 2-10. Strongly reducing conditions brought about by NH2OH.HCl caused a
substantial release of As, pointing to the incorporation of As in Fe-oxides. A higher As-mobility was found in
the dredged sediments, because of the association of As with Ca3(PO4)2 particles. Despite some artifacts in
sequential and EDTA extractions, additional information on the reactivity of heavy metals was obtained.
Although EDTA extractions suggest a considerable potential availability of Cd, Zn, Ni and Cu, pHstat leaching
tests indicate that this potentially available pool will only be released very progressively.
Figure 7: Release (% of concentration at the end of the
experiment) of Cd as a function of time during the pHstat
test at pH 2 and Cd fractionation according to the BCR
sequential extraction
D0
O D
9
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Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Centre for Economics and Corporate Sustainability, Campus Brussels
Faculty of Economics and Business (FEB) - miscellaneous
Division of Geology

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