ABSTRACT
The fractionation and total concentration of Zn, Cd,
Cu, Fe, Al, Ca, and organic carbon (OC) in surface water samples from seven
stations along a small river receiving treated mine drainage were investigated
in the spring, summer, and autumn of 1999. Zn, Cd, and Cu in the river water
were redistributed to particles (>0.2 mm) when mixing with the
limed effluent water from the mine resulted in a pronounced increase in pH. A
larger part of the Cu was also found in particles later in the year, together
with higher concentrations of particulate Fe, Al, and OC. Based on comparisons
with Ca, no or little reduction in heavy metal concentration occurred due to
immobilization in wetlands along the river.
INTRODUCTION
The
River Vormbäcken is situated in the county of Västerbotten, northern Sweden.
Within the 370 km2 catchment area, mining of complex sulfidic ores
has taken place since the 1940s. Today, only the Kristineberg mine is still in
operation. The drainage from the mine is treated by slaked lime, resulting in a
pH well above 7, before it is released into the River Vormbäcken between
sampling stations S and A (MiMi 2000; see Table 1 for
position of the sampling stations). Between A and R, the river is quite
channelized and at least in parts lined by aquatic macrophytes. After passing
R, it widens and meanders through a vast mire. Between B and V, the river flows
through a 8 km2 lake, Lake Vormträsket. After V it joins the River
Vindelälven, thereby leaving the investigated area.
During 1999, surface water samples were collected from seven stations along the River Vormbäcken (Table 1)
at three occasions representing snowmelt (middle of May), summer (late July),
and low flow before snowfall (early October).
All bottles used in this study were brand new
wide neck HDPE bottles (Nalgene®). Samples
for metal analyses were collected and stored in acid washed bottles, while
samples for analyses of pH and OC were taken and kept in ordinarily washed
bottles. For
acid washing, a procedure similar to that described by Ledin et al. (1996) was
used. Filters for metal analyses were mounted in the filter holders
(Micro Filtration Systems®) in the laboratory, washed with 10 ml
warm 0.02 M suprapur nitric acid (Merck®),
and rinsed with 30 ml MilliQ®-water.
The initial treatment, and acidification, of
the samples was always performed within 5 h of
sampling and generally in the field immediately after sampling. Three
subsamples of approximately 30 ml were taken from each sampling bottle: a) no
treatment, b) filtered through a 0.2 mm filter, c) filtered through a 0.4 mm filter (Millipore® isopore
polycarbonate membrane filters). In order to investigate the fraction of metals
bound to dissolved natural organic matter (NOM), approximately 30 ml of samples
filtered through a 0.2 mm filter were collected in acid washed bottles
containing approximately 0.7 g of a
preconditioned weak anion exchanger, diethylaminoethyl-cellulose (DEAE), according to a procedure adopted by Pettersson et al.
(1993). The flasks were thoroughly shaken and the DEAE was allowed to
settle prior to the analysis of the water phase.
The pH was measured on
site. The concentration of OC in the samples was measured using a Shimadzu®
TOC-5000. Metal analyses were performed by a Perkin Elmer® Elan 6000
ICP-MS.
Here, the heavy metals Zn, Cd, and Cu have been selected for a more thorough discussion since they represent metals that were found to have the highest concentrations related to reference values for Sweden (Naturvårdsverket 1999). These metals may interact with particulate phases; here Fe, Al, and NOM were studied, or with dissolved NOM (e.g. Mantoura et al. 1978). Ca has been used to estimate dilution from surface and ground waters in the catchment area.
The results obtained in the study are summarized in
Table 1.
Table
1. Total metal and organic carbon
(TOC) concentrations, and pH values measured in surface water samples from the
River Vormbäcken, collected during 1999. S-V are the investigated stations in
downstream order. M=May, J=July, O=October. Stations T and M were not sampled
in May.
Station
Distance |
S 0 km |
A 4 km |
T 11 km
|
R 15 km |
M 23 km
|
B 29 km |
V 50 km |
|||||||||||||
Month
|
M |
J |
O |
M |
J |
O |
J |
O |
M |
J |
O |
J |
O |
M |
J |
O |
M |
J |
O |
|
|
Zn |
mg/l |
543 |
456 |
438 |
419 |
413 |
431 |
291 |
189 |
157 |
289 |
190 |
147 |
122 |
86 |
122 |
119 |
59 |
58 |
51 |
|
Cd |
mg/l |
1.7 |
1.3 |
1.2 |
1.3 |
1.2 |
1.1 |
0.9 |
0.5 |
0.4 |
0.8 |
0.5 |
0.4 |
0.3 |
0.2 |
0.3 |
0.3 |
0.1 |
0.1 |
0.1 |
|
Cu |
mg/l |
142 |
104 |
83 |
114 |
86 |
67 |
58 |
26 |
42 |
54 |
23 |
25 |
13 |
19 |
21 |
12 |
9 |
10 |
8 |
|
Ca |
mg/l |
2.7 |
2.8 |
3.0 |
23 |
64 |
111 |
44 |
39 |
11 |
41 |
39 |
21 |
17 |
6.4 |
18 |
18 |
8.0 |
8.6 |
10 |
|
Al |
mg/l |
210 |
163 |
125 |
410 |
264 |
450 |
214 |
230 |
200 |
213 |
186 |
122 |
124 |
142 |
116 |
117 |
134 |
83 |
66 |
|
Fe |
mg/l |
0.3 |
0.2 |
0.3 |
0.6 |
0.8 |
2.2 |
1.3 |
1.6 |
0.7 |
1.6 |
2.1 |
1.2 |
1.1 |
0.6 |
1.2 |
1.1 |
0.7 |
0.5 |
0.5 |
|
TOC |
mg/l |
7.4 |
7.3 |
6.2 |
7.3 |
6.6 |
5.6 |
8.6 |
8.2 |
8.7 |
8.6 |
7.1 |
10 |
7.5 |
10 |
11 |
7.5 |
11 |
11 |
7.7 |
|
pH |
field |
5.6 |
6.3 |
6.7 |
9.7 |
6.1 |
6.8 |
6.3 |
6.9 |
7.6 |
6.4 |
5.6 |
6.0 |
5.7 |
5.5 |
6.3 |
5.5 |
7.4 |
6.5 |
6.0 |
At all sampling occasions, the concentrations of Zn,
Cd, and Cu were highest (sic) at the sampling station S, upstream from the
effluent from the Kristineberg mine, and decreased along the stretch of the
river. This indicates that the contributions of these metals from the active
mine are low compared to contributions from the natural background and older
abandoned minor mines in the area (c.f. Naturvårdsverket 1998). With the exception
of the samples taken at A in May, more than 80% of the Zn and Cd was found in
the dissolved (<0.2 mm) fraction (Figure 1). The
increase of particulate Zn and Cd at A in May is probably attributed to the
pronounced increase in pH between S (5.6) and A (9.7) on this particular
occasion, which might be connected to a low buffering capactity of the melt
water, resulting in an increased sorption to particles (e.g. Håkansson et al. 1989). Between A and R, the
concentrations of Zn and Cd are then reduced more than could be expected from
comparisons to Ca, indicating that such particles may act as metal scavengers
when they settle. However, some of this effect seems to be counteracted as the
pH starts to approach background values again at R (7.6). Also, at this time of
the year, the flow of water is high and only remnants of the macrophytes from
the previous year remain, which do not favor the settling of particles.

Figure
1. Total concentration of Zn and Cu
(mg/l) fractionated into particles >0.4 mm and 0.2-0.4 mm, dissolved
(<0.2 mm) and bound
to dissolved NOM. S-V are the investigated stations in downstream order.
Similar to Zn and Cd, dissolved (<0.2 mm) Cu is redistributed to particles (>0.2 mm) at A. For Cu,
this effect is pronounced also in July and October. Also, a greater part
of the available Cu is present in particles (>0.2 mm) at higher concentrations of particulate
Fe, Al, and OC respectively (Figure 2), that is, later during the investigated
period (see below). Along the river, total concentrations of Cu are reduced
more or less as could be expected from comparisons to Ca. However, between
sampling stations R and M, and B and V, there is a tendency towards a larger
reduction in the concentration of Cu in the particulate phase than in the
dissolved one, which suggests that settling of above particles in the wetland
at R and Lake Vormträsket may immobilize at least parts of the Cu in the
system.

Figure 2. The relationship between the fraction of Cu found in the particulate (>0.2 mm) fraction and the concentration (mg/l) of particulate Fe, Al, and organic carbon (OC).
As a result of liming of the drainage water, the
concentration of Ca found at the sampling station A is at least eight times
higher than the background values found at S, and in all samples more than 95%
of the Ca was present in dissolved (<0.2 mm) forms, which motivates
its use as a measure of dilution, at least close to the mining area. The
concentration of Al also increase between S and A. The reduction in Al
concentration then follows that of Ca reasonably well. There is a tendency
towards a greater part of the Al being found in the particulate fractions later
in the investigated period.
The concentration of Fe also
increases between S and A. However, it increases between a number of downstream
sampling stations as well, which indicates significant contributions from the
catchment area. Increasing concentrations of Fe over the investigated period,
when the diluting effect of the melt water disappears, give further support for
this assumption. The fraction of dissolved (<0.2 mm) Fe is fairly constant, approximately 0.2 mg/l.
NOM measured as OC is also
supplied along the river, presumably from the wetlands nearby. In May, >90%
of the NOM was found in the dissolved (<0.2 mm) fraction, while in July
and October, particles could account for up to 30%. These particles may be
biological (plankton), the result of Ca induced flocculation between S and A
(e.g. Sholkovitz and Copland 1981), or the OC may be associated with
particulate Fe and Al (e.g. Tipping 1981),
which is supported by correlations between these parameters. Such particles
seem to be more efficient sorbers of Cu than “pure” OC particles (white diamond
in Figure 2). Up to 40% of the Fe, 35% of the Cu, and 20% of the Al could be
found to be bound to dissolved NOM. Generally, this fraction was most important
at V, downstream from all the investigated wetlands. In July, Cu was
redistributed to NOM between S and A, despite the addition of potentially competing
Ca from the effluent water, which may reduce Cu sorption to particles, see
Figure 1.
Without
water flow measurements or a hydrological model coupled to the concentration
data, only a first estimate of any reduction in heavy metal (Zn, Cd, and Cu)
transport along the river could be made. It seems likely that dilution from
surface and ground water is the major mechanism explaining the decreasing heavy
metal concentrations along the river, and that no dramatic decrease in metal
transport occurs upon passing the investigated wetlands. However, if the
surface and ground waters in this highly mineralized area contribute metals
other than Fe to the river, our results may be more encouraging for treatment
purposes.
Since there is limited
contact between the bulk of the water and the river sediments, adsorption of
dissolved metals to the river bed is probably of minor importance for metal
immobilization in the investigated system compared to the settling of
particles. Thus factors favoring formation of and adsorption to particles, as
well as settling of such particles, should be optimized in constructed
treatment wetlands. Based on our results, a supply of a naturally iron rich
water, and the building of a wetland or pond where the particles formed can settle,
seems to be a good option if the aim is to create a low maintenance wetland.
ACKNOWLEDGEMENTS
This study is part of the Swedish program Mitigation
of the Environmental Impact from Mining Waste, financed by the foundation for
Strategic Environmental Research.
REFERENCES
Håkansson K, Karlsson S, Allard
B (1989), Sci. Tot. Environ. 87/88: 43-57.
Ledin A, Karlsson S, Håkansson
K, Sandén P, Düker A (1996), Sci. Tot. Environ. 188: 87-99.
Mantoura RFC, Dickson A, Reily JP (1978), Est.
Coastal Mar. Sci. 6: 387-408.
MiMi (2000), Årsrapport 1999 för MISTRA-programmet MiMi.
Stockholm, MiMi-print. In Swedish.
Naturvårdsverket (1998), Rapport 4948.
Stockholm, Naturvårdsverket förlag. In Swedish.
Naturvårdsverket (1999),
Rapport 4913. Stockholm, Naturvårdsverket förlag. In Swedish.
Pettersson
C, Håkansson K, Karlsson S, Allard B (1993), Wat. Res. 27: 863 - 871.
Sholkovitz
ER, Copland D (1981), Geochim. Cosmochim. Acta 45: 181-189.
Tipping E (1981), Geochim. Cosmochim. Acta 45: 191-199.