Laboratory scale experiments for assessing the impacts of organic cover layer on heavy metal leaching from tailings
Tommi Kaartinen, Markku Juvankoski, Jutta Laine-Ylijoki, Elina Merta, Ulla-Maija Mroueh, Jarno Mäkinen, Emma Niemeläinen, Henna Punkkinen, & Margareta Wahlström, VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Finland.
Introduction
These studies were part of CLOSEDURE project’s Work Package 4: “Wastes and Waste facilities”. As part of this work package the possibilities and challenges to compare mining waste disposal scenarios in laboratory scale have been investigated. The research has concentrated on assessing the mining waste leaching behaviour in different scenarios.
In this report a study to assess the impacts of organic cover layer on mining waste leaching behaviour has been presented.
Background
The possible advantages and disadvantages of using organic cover layer on mining waste have been presented in Table 1.
Table 1. Possible advantages and disadvantages of using organic cover layers on mining waste (MEND 1994, Peppas et al. 2000, Steffen Robertson and Kirsten Inc. 2001, INAP 2009, Lottermoser 2010).
Method | Description | Advantages | Disadvantages |
Covering of mining waste with oxygen consuming layer, e.g. organic cover | Covering of metal (and sulphide) bearing mining waste with organic cover e.g. wood based waste, sludge or peat |
|
|
Execution of the study
Organic materials such as peat have been used as mining waste cover layers primarily to consume the oxygen and thus minimize sulphide oxidation in the mining waste. On the other hand, the complexation of DOC with heavy metals such as copper is a widely known phenomenon in the context of environmental behaviour of waste materials. The detailed research question in this study was whether the DOC leached from the cover layer would increase the leaching of heavy metals from the tailings
The studies presented here were conducted for a single tailings sample received from Luikonlahti mill, Finland. Table 2 shows the study program.
Table 2. Contents of the study.
Study | Objectives + additional information |
XRF | Semi-quantitative elemental composition, screening of contaminants |
Up-flow percolation tests | Leaching test to simulate leaching behaviour and the impacts of DOC on leaching. Pure water and humic acid solution compared as leachants |
pH-dependence leaching tests | Leaching tests to assess the impacts of pH and DOC on leaching, input to geochemical modelling. Pure water and humic acid solution compared as leachants. |
Elemental composition of the sample was determined by using Axios mAX 3 kV X-ray spectrometer and semi-quantitative fundamental parameters program (RRFPO). The method is applicable for fluorine and elements heavier than fluorine, and a typical detection limit is approximately 0.01 w-%.
The up-flow percolation test (CEN/TS 14405) is used to simulate the leaching behaviour of a granular or powdery material in placement conditions at different time frames. In the test granular material is packed into a vertical column with diameter of 5 cm to a bed height of 30 cm. A peristaltic pump is used to pass demineralised water through the column. Liquid (the eluate) appearing at the outlet is collected in 7 fractions ranging from a liquid to solid (L/S) ratio of 0.1 l/kg to 10 l/kg. The eluate fractions are filtered and prepared for subsequent chemical analysis. The results are expressed in terms of accumulated leached amounts (mg/kg) as a function of L/S. Time to reach a certain liquid to solid ratio at the site of placement can be roughly estimated when annual infiltration through the material bed is known.
In the pH-dependence test (CEN/TS 14997) the sample (15, 30 or 60 g) is mixed with distilled water for 48-hours at L/S ratio about 10. The pH-level of the mixture is kept at the predetermined pH-value (pH range 4-12) by using an automated pH-titrator. The eluate is separated by filtration. Constituents of interest are determined from the eluates.
Results
Table 3 shows the semi-quantitative elemental composition of the tailings sample as determined by X-ray fluorescence analysis XRF.
Table 3. Semi-quantitative elemental composition of the tailings sample. Concentrations of elements heavier than fluorine are expressed as percentages. The detection limit of the method is around 0.01 %.
Element, % |
Luikonlahti tailings |
Element, % |
Luikonlahti tailings |
Na |
0.23 |
Cr |
0.06 |
Mg |
4.5 |
Mn |
0.04 |
Al |
1.5 |
Fe |
3.9 |
Si |
25 |
Co |
0.04 |
P |
0.06 |
Ni |
0.06 |
S |
2.1 |
Cu |
0.16 |
K |
0.42 |
Zn |
0.10 |
Ca |
9.5 |
As |
0.01 |
Ti |
0.21 |
Zr |
0.01 |
V |
0.02 |
|
|
To assess the impacts of dissolved organic carbon on leaching of contaminants from a tailings sample, a standard humic acid solution (Sigma Aldrich) was prepared. Table 3 shows the composition of the prepared solution. The load caused by the humic acid solution to the leaching results were always subtracted from the results to be able to better compare the scenarios. In reality it is always possible that some leaching of contaminants takes place also from the cover materials.
Table 4. Composition of the prepared Sigma Aldrich humic acid solution.
Component |
Humic acid solution (mg/l) |
Component |
Humic acid solution (mg/l) |
Al |
0.5 |
Sb |
0.0001 |
As |
0.001 |
Se |
0.003 |
Ba |
0.003 |
Sr |
0.003 |
Be |
0.000164 |
V |
0.003 |
Co |
0.001 |
Zn |
0.005 |
Cr |
0.00123 |
Ca |
1.54 |
Cu |
0.004 |
Fe |
0.41 |
K |
0.348 |
Mg |
0.18 |
Mn |
0.0004 |
Na |
18 |
Mo |
0.0003 |
Si |
0.32 |
Ni |
0.003 |
Cl– |
2.6 |
P |
0.017 |
SO42- |
0.8 |
Pb |
0.00015 |
DOC |
31 |
Rb |
0.0001 |
|
|
The results from up-flow percolation tests have been compiled into Table 5.
Table 5. Results from the up-flow percolation tests. The amounts of leached substances have been expressed as mg/kg dry matter in cumulative liquid to solid (L/S) ration of 10.
Luikonlahti tailings (mg/kg) Up-flow percolation test, |
Luikonlahti tailings (mg/kg) Up-flow percolation test, |
|
Luikonlahti tailings (mg/kg) Up-flow percolation test, |
Luikonlahti tailings (mg/kg) Up-flow percolation test, |
|
Eluate pH |
7.9 – 8.2 * |
7.9 – 8.3 * |
|
7.9 – 8.2 * |
7.9 – 8.3 * |
Leached substances, mg/kg | |||||
Ag |
<0.01 |
<0.01 |
Sb |
0.21 |
0.27 |
Al |
0.39 |
2.3 |
Se |
0.02 |
0.02 |
As |
0.02 |
0.08 |
Sr |
0.54 |
0.71 |
B |
0.04 |
0.44 |
Th |
<0.01 |
<0.01 |
Ba |
0.03 |
0.08 |
Tl |
<0.01 |
<0.01 |
Be |
<0.01 |
<0.01 |
U |
0.06 |
0.72 |
Bi |
<0.01 |
<0.01 |
V |
<0.01 |
0.08 |
Cd |
<0.01 |
<0.01 |
Zn |
0.11 |
0.71 |
Co |
0.13 |
1.2 |
Ca |
350 |
470 |
Cr |
<0.01 |
0.03 |
Fe |
0.52 |
3.4 |
Cu |
0.01 |
0.32 |
Mg |
39 |
42 |
K |
37 |
54 |
Na |
14 |
180 |
Li |
0.02 |
0.03 |
Si |
24 |
24 |
Mn |
0.82 |
0.69 |
S |
270 |
390 |
Mo |
0.05 |
0.27 |
Cl– |
3.4 |
32 |
Ni |
0.12 |
0.87 |
F– |
2.0 |
5.2 |
P |
0.18 |
0.84 |
SO42- |
770 |
1100 |
Pb |
<0.01 |
0.03 |
DOC |
11 |
110 |
Rb |
0.04 |
0.08 |
|
|
* range of pH’s in seven collected eluate fractions.
The results from pH-dependence tests have been compiled into Table 6 (de-ionized water as leachant) and Table 7 (humic acid solution as leachant).
Table 6. Results from pH-dependence tests with de-ionized (pure) water as leachant. The amounts of leached substances have been expressed as mg/kg dry matter (L/S 10).
Target-pH |
2.0 |
4.0 |
6.0 |
7.0 |
Natural pH (8.1) |
10.0 |
12.0 |
Acid/base consumption, mol H+/OH–/kg |
3.77 |
3.34 |
1.63 |
0.56 |
– |
0.05 |
0.43 |
Leached substances, mg/kg | |||||||
Ag |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Al |
550 |
120 |
0.57 |
0.56 |
0.14 |
3.8 |
27 |
As |
2.2 |
0.04 |
0.01 |
0.01 |
0.01 |
0.33 |
1.3 |
B |
0.09 |
0.12 |
0.04 |
0.06 |
<0.01 |
0.02 |
0.06 |
Ba |
3.7 |
3.0 |
1.8 |
0.67 |
0.14 |
0.01 |
0.01 |
Be |
0.01 |
0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Bi |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Cd |
0.17 |
0.08 |
0.04 |
0.01 |
<0.01 |
<0.01 |
<0.01 |
Co |
260 |
220 |
21 |
47 |
0.45 |
0.02 |
<0.01 |
Cr |
5.9 |
0.69 |
0.01 |
<0.01 |
0.01 |
0.07 |
0.44 |
Cu |
61 |
38 |
0.06 |
0.03 |
0.03 |
0.05 |
0.09 |
K |
1600 |
750 |
520 |
1000 |
350 |
170 |
400 |
Li |
0.31 |
0.13 |
0.07 |
0.03 |
0.03 |
0.02 |
0.03 |
Mn |
210 |
200 |
110 |
38 |
0.29 |
0.02 |
<0.01 |
Mo |
0.06 |
0.01 |
<0.01 |
0.03 |
0.05 |
0.08 |
0.15 |
Ni |
170 |
150 |
30 |
32 |
0.69 |
0.03 |
0.01 |
P |
330 |
2.1 |
1.4 |
0.46 |
0.69 |
0.10 |
0.59 |
Pb |
6.6 |
3.4 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Rb |
1.5 |
1.1 |
0.63 |
0.19 |
0.08 |
0.02 |
0.06 |
Sb |
0.25 |
0.07 |
0.01 |
0.09 |
0.40 |
0.39 |
0.40 |
Se |
0.16 |
0.13 |
0.07 |
0.05 |
0.03 |
0.02 |
0.15 |
Sr |
28 |
27 |
16 |
6.4 |
0.78 |
0.04 |
0.01 |
Th |
0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Tl |
0.08 |
0.06 |
0.02 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
U |
5.5 |
4.0 |
0.02 |
0.28 |
0.14 |
0.02 |
0.03 |
V |
2.7 |
0.01 |
<0.01 |
<0.01 |
0.01 |
0.07 |
0.23 |
Zn |
95 |
45 |
15 |
3.9 |
0.13 |
0.07 |
0.16 |
Ca |
49000 |
47000 |
29000 |
11000 |
660 |
12 |
5.4 |
Fe |
4900 |
2200 |
4.6 |
0.50 |
0.50 |
1.1 |
1.2 |
Mg |
10000 |
9800 |
1800 |
260 |
83 |
2.1 |
0.48 |
Na |
30 |
18 |
15 |
14 |
10 |
1200 |
9400 |
Si |
530 |
100 |
32 |
25 |
33 |
26 |
54 |
S |
490 |
350 |
490 |
520 |
500 |
1100 |
11000 |
DOC |
34 |
27 |
28 |
21 |
13 |
9.6 |
14 |
Table 7. Results from pH-dependence tests with humic acid solution as leachant. The amounts of leached substances have been expressed as mg/kg dry matter (L/S 10).
Target-pH |
2.0 |
4.0 |
6.0 |
7.0 |
Natural pH (8.2) |
10.0 |
12.0 |
Acid/base consumption. mol H+/OH–/kg |
3.7 |
3.2 |
1.3 |
0.74 |
– |
0.08 |
1.1 |
Leached substances, mg/kg | |||||||
Ag |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Al |
550 |
68 |
0.31 |
0.35 |
0.64 |
11 |
39 |
As |
1.4 |
0.03 |
0.01 |
0.01 |
0.02 |
0.68 |
2.6 |
B |
0.13 |
0.07 |
0.05 |
0.07 |
0.03 |
0.06 |
0.13 |
Ba |
3.8 |
2.8 |
1.71 |
1.0 |
0.11 |
0.06 |
0.01 |
Be |
0.01 |
0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Bi |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Cd |
0.11 |
0.08 |
0.04 |
0.01 |
<0.01 |
<0.01 |
<0.01 |
Co |
350 |
120 |
61.81 |
40 |
0.19 |
2.2 |
0.01 |
Cr |
8.1 |
0.11 |
0.01 |
0.05 |
0.07 |
0.18 |
0.61 |
Cu |
0.57 |
19 |
0.03 |
0.03 |
0.08 |
1.6 |
0.74 |
K |
1300 |
570 |
410 |
580 |
420 |
560 |
460 |
Li |
0.26 |
0.11 |
0.05 |
0.04 |
0.02 |
0.02 |
0.01 |
Mn |
200 |
190 |
88 |
48 |
0.14 |
0.24 |
<0.01 |
Mo |
0.05 |
0.01 |
0.01 |
0.04 |
0.06 |
0.22 |
0.22 |
Ni |
220 |
80 |
46 |
26 |
0.40 |
2.7 |
0.03 |
P |
340 |
1.2 |
0.61 |
0.43 |
0.10 |
1.8 |
0.95 |
Pb |
4.6 |
1.1 |
<0.01 |
<0.01 |
<0.01 |
0.16 |
<0.01 |
Rb |
1.6 |
1.1 |
0.62 |
0.35 |
0.08 |
0.06 |
0.20 |
Sb |
0.26 |
0.06 |
0.03 |
0.09 |
0.30 |
0.46 |
0.45 |
Se |
0.18 |
0.11 |
0.04 |
0.04 |
0.03 |
0.08 |
0.78 |
Sr |
29 |
30 |
14 |
8.9 |
0.72 |
0.10 |
0.01 |
Th |
0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
Tl |
0.05 |
0.05 |
0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
U |
3.8 |
0.65 |
0.05 |
0.13 |
0.30 |
0.31 |
0.26 |
V |
2.7 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
0.09 |
0.33 |
Zn |
60 |
45 |
11 |
1.5 |
0.04 |
1.7 |
2.6 |
Ca |
50000 |
46000 |
24000 |
15000 |
560 |
38 |
8.6 |
Fe |
4300 |
1100 |
0.49 |
0.51 |
0.50 |
46 |
1.8 |
Mg |
10000 |
9200 |
710 |
330 |
56 |
9.3 |
0.49 |
Na |
220 |
190 |
180 |
190 |
200 |
2000 |
26000 |
Si |
530 |
77 |
28 |
30 |
30 |
30 |
94 |
S |
490 |
459 |
500 |
530 |
480 |
910 |
4600 |
DOC |
64 |
25 |
20 |
21 |
29 |
120 |
570 |
Discussion
Percolation tests
When simulating the impacts of an organic cover layer with up-flow percolation leaching tests it was observed that the leaching of several inorganic contaminants increased substantially. Some of the most important findings are shown in Figure 1.
Figure 1. Impacts of humic acid solution on leaching of Co, Cu and Ni from a tailings sample. The load caused by the humic acid solution has been subtracted from the results.
With Co, Cu, and Ni the leached amounts when using the humic acid solution as leachant were some tenfold compared to the scenario where pure water was used.
pH-dependence tests
With the pH-dependence tests the impacts of dissolved organic carbon (DOC) on leaching of metals were not as straightforward to observe. This is due to at least the following:
- Leaching of many metals are highly dependent on pH
- Leaching of DOC is also dependent on pH (with low pH values the DOC added is contained in the solid matrix)
Therefore, the reasons to observed behaviour were not easy to explain. Figure 2 shows an example of the leaching behaviour as a function of pH. In the case of pH-dependence tests the load coming from humic acid solution can only be seen as theoretic, because some of the dissolved substance in the humic acid solution may take a solid form at different pH values than the solutions original pH.
Figure 2. Leaching of Cu as a function of pH. The (theoretic) load coming from humic acid solution is subtracted from the results with humic acid solution.
With lower pH’s (<8) the leaching of Cu is lower in the tests with pure water as leachant. With pH’s 10 and above the leaching of Cu is again some ten times higher with humic acid as leachant. The reasons behind the observed behaviour are likely to be a) retaining of DOC (possibly together with Cu) in the solid matrix at lower pH’s and b) increased leaching of DOC at higher pH’s and complexation with Cu to increase Cu leaching.
Conclusions
The results gained in this study suggest that the dissolved organic carbon (DOC) can be a significant factor in controlling the leaching of several heavy metals from waste materials. Based on these lab-scale results, the increased leaching of heavy metals should be taken into account when comparing different covering options for mining wastes. Also, the benefits from using organic material as cover layer for mining waste should be weighed against increased risk of elevated heavy metal leaching as a result of complexation with DOC.
References
INAP 2009. The GARD Guide. The Global Acid Rock Drainage Guide. The International Network for Acid Prevention (INAP). http://www.gardguide.com/
MEND 1994. Evaluation of Alternate Dry Covers for the Inhibition of Acid Mine Drainage from Tailings. MEND Project 2.20.1. March 1994. Prepared by: SENES Consultants Limited. Mine Environment Neutral Drainage Program (MEND).
Peppas, A., Komnitsas, K. & Halikia, I. 2000. Use of Organic Covers for Acid Mine Drainage Control. Minerals Engineering 13, No. 5, 563-574
Steffen Robertson and Kirsten Inc. 2001. Methods for Delaying the Onset of Acidic Drainage – A Case Study Review, Final Report. Mend Project 2.37.2.
CEN/TS 14405:2004. Characterization of waste – Leaching behaviour tests – Up-flow percolation test (under specified conditions).
CEN/TS 14997:2006. Characterization of waste – Leaching behaviour tests – Influence of pH on leaching with continuous pH-control.
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