Research article Mineralogical constraints on the determination of neutralization potential and prediction of acid mine drainage A.D. Paktunc Abstract Acid-base accounting tests, commonly used as a screening tool in acid mine drainage (AMD) predictions, have limitations in (1) measuring with confidence the amount of neutralizers present in samples and (2) affording an interpretation of what the test results mean in terms of predicting the occurrence of acid mine drainage. Aside from the analytical difficulties inherent to the conventional methods, a potential source of error in neutralization potential (NP) measurements is the contribution from the dissolution of non-carbonate minerals. Non-carbonate alkalinity measured during static tests may or may not be available to neutralize acidity produced in the field. In order to assess the value-added of extending the NP with the knowledge of mineralogical composition and evaluate potential sources of errors in NP measurements, a suite of samples were examined and characterized in terms of their mineralogical and chemical compositions. The results indicate that although the acid-base accounting tests work well for simple compositions, the tests may result in overestimation or underestimation of NP values for field samples. Mineralogical constraint diagrams relating NP determinations to Ca, Mg and CO2 concentrations were developed with the purpose to serve as supplementary guides to conventional static tests in identifying possible NP contributions from noncarbonate minerals and checking the quality of the chemical testing results. Mineralogical NP makes it possible to interpret the meaning of NP results and to assess the behaviour of samples over time by predicting the onset of AMD and calculating NP values for individual size fractions. Introduction Acid-base accounting (ABA) tests, involving the determination of acid generating potential (AP) and neutralization potential (NP) of samples, are commonly used as a screening tool to predict the occurrence of acid mine drainage (AMD). These tests are designed to examine the balance between the acid-producing and acid-consuming components of wastes (Coastec Research 1991). The tests are static in nature and as such they do not predict drainage quality from the wastes. Instead, the tests allow simple, rapid and low-cost screening of samples to make a preliminary prediction for acceptable or unacceptable water quality (Coastec Research 1991). The ABA tests have limitations in terms of providing reliable measurements of NP. Secondly, the meaning of measured NP in terms of predicting the occurrence of AMD is often not clear. Uncertainties or errors in NP measurements can arise due to any or a combination of mineralogical composition, particle size, procedural limitations and human error. Among these, uncertainties due to particle size, procedural limitations and human error are inherent to the techniques and as such they can be minimized by revising the procedures and by improving laboratory quality control/assurance standards. Readers should refer to Norecol Environmental Consultants (1991), Lawrence and Wang (1997), and Lapakko (1994) for an evaluation and review of the conventional NP determinations. Measured NP values do not necessarily indicate alkalinity that is readily available to neutralize acidity produced by the oxidation of sulfide minerals in mine wastes. One limitation as noted by Coastec Research (1991) which involves the inability of static tests in making a distinction between the various acid consuming minerals and their neutralization capacity, can lead to significant over or Key words Acid mine drainage 7 Acid rock underestimation of NP. Norecol Environmental Consuldrainage 7 Neutralization 7 Acid-base accounting 7 tants (1991) recommended that routine ABA tests include Mineralogy 7 Tailings 7 Waste rock a supporting mineralogical description to provide confidence in the chemical results. In addition, Price and others (1997) pointed out that existing static tests do not identify minerals that contribute to effective field NP. In cases where measured NP values reflect non-carbonate alReceived: 1 June 1998 7 Accepted: 6 October 1998 kalinity, effective field NP is likely to be overestimated. A.D. Paktunc CANMET, Mining and Mineral Sciences Laboratories, 555 Booth In summary, as stated by Lawrence and Wang (1997), reliable and confident determination of the practical NP St, Ottawa, Ontario, K1A0G1, Canada value of a waste cannot be achieved by a single static e-mail:dpaktunc6NRCan.gc.ca Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag 103 Research article test. It is clear that there is a need to make the static test results more meaningful from the point of view of their ability to better screen samples and to establish mineralogical parameters prior to designing and conducting kinetic geochemical tests. Mineralogical composition is a critical factor as it indicates the sources of NP and AP. Provided that other conditions that cause and/or influence AMD are met, a static testing technique, based on the premise that bulk dissolution is complete and incorporating mineralogical composition, should provide a reasonable estimate of the acid generating potential of rock and tailings samples (Paktunc 1999a). Recognizing these limitations, Lawrence and Scheske (1997) proposed a new method to calculate NP based on mineralogy. This method involves the calculation of NP values for individual minerals based on their mineral abundances determined through the use of CIPW norm calculations and relative reactivity factors. As this approach can predict the presence of “neutralizing” minerals, not actually present in the sample, its usefulness and applicability for the intended purpose is questionable (Paktunc 1999b). Consequently, the objectives of this study were to present mineralogical constraints as a guide to interpret the NP measurements and discuss the mineralogical NP method. cast in terms of kg CaCO3 equivalent per tonne, the following consideration must be taken into consideration. One important thing to consider is the fact that one or two moles of CaCO3 are required to neutralize one mole of sulfuric acid. This depends upon which one of the following reactions takes precedence during neutralization. CaCO3cH2SO4 2 CaCO3cH2SO4 *Ca 2ccCO2cH2OcSO 2P 4 2P *2 Ca 2cc2 HCO P 3 cSO 4 (2) (3) NP can be recast in terms kg CaCO3 equivalent per tonne by multiplying the Eq. 1 by 1.02 in the case of the reaction in Eq. 2 and 2.04 in the case of the reaction in Eq. 3. For pyrite, ni is 2 when the reaction 2 is applicable and 4 in the case of the the reaction in Eq. 3. For pyrrhotite, ni is 1 when the reaction in Eq. 2 is considered and 2 for the reaction in Eq. 3. ns is 2 for pyrite and 1 for pyrrhotite. Other parameters needed in the above NP equations are given in Table 1 for common carbonate species. NP values for calcite can be written as: NPp9.8!Xi kg H2SO4 eq/t for reaction in Eq. 2 (4) NPp4.9!Xi kg H2SO4 eq/t for reaction in Eq. 3 (5) NPp10!Xi kg CaCO3 eq/t (6) Although equal moles of calcite and dolomite are needed to neutralize sulfuric acid, dolomite’s NP is 1.1 times Mineralogical NP and AP greater than that of calcite. Siderite is initially a neutralizer; however, with continued dissolution, it produces NP which is a measure of the amount of neutralizing acidity as ferrous iron is oxidized to ferric iron and ferric bases present in a sample, is determined by various hydroxide precipitates. Thus, net contribution of siderite chemical methods as outlined by Sobek and others to neutralization is considered to be zero. It is assumed (1978), Lawrence and others (1989) and Coastec Research that Mn is not oxidizable; therefore, Mn in carbonates (1991). Recognizing the difficulties involved in the meas- contributes to NP. If Mn is deemed to be oxidizable, then urement and interpretation of NP values, Paktunc (1999a) the parameters for Mn-bearing carbonate species listed in proposed a new approach to determining NP values Table 1 must be adjusted for the amount of non-oxidizabased on mineralogical composition. In this approach, ble cations. NP of each mineral is calculated based on its abundance In conventional ABA tests, AP is calculated based on in the sample and the stoichiometry of neutralization bulk sulfur concentrations. Although this is straightforreactions. NP is expressed in terms of sulfuric acid equivalent or the conventional CaCO3 equivalent. In order to take into account the presence of more than one type of Table 1 neutralizing mineral, a bulk NP is calculated Parameters used in the calculation of mineralogical NP. 98!10!Xi!ci!ns NPp A ni!vi ip1 k (1) where NP is the mineralogical NP in kg sulfuric acid equivalent per tonne, 98 is the molecular weight of H2SO4, 10 is the conversion factor for recasting in kg.t –1, Xi is the amount of mineral i in wt%, ci is the number of non-oxidizable cations in one formula unit of neutralizing mineral i, ns is the moles of sulfuric acid formed by the oxidation of one mole of sulfide mineral s, ni is the moles of mineral required to consume ns moles of sulfuric acid produced by the oxidation of one mole of sulfide mineral s, vi is the molecular weight of neutralizing mineral i (g.mol –1) and k is the number of neutralizing minerals in the sample. If the mineralogical NP needs to be 104 Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag w molecular weight; c number of non-oxidizable cations in one formula unit Mineral Formula w c Calcite Siderite Magnesite Dolomite Ankerite Ankerite Magnesian siderite Magnesian siderite Magnesian siderite Magnesian siderite Rhodochrosite Kutnohorite CaCO3 FeCO3 MgCO3 Mg0.5Ca0.5CO3 Ca0.5Fe0.3Mg0.2CO3 Ca0.5Fe0.1Mg0.4CO3 Fe0.8Mg0.2CO3 Fe0.6Mg0.4CO3 Fe0.4Mg0.6CO3 Fe0.2Mg0.8CO3 MnCO3 Ca0.5Mn0.5CO3 100.0 116.0 84.3 92.0 101.7 95.3 109.5 103.2 96.9 90.6 114.9 107.5 1.0 0.0 1.0 1.0 0.7 0.9 0.2 0.4 0.6 0.8 1.0 1.0 Research article ns!98!Xs!10 APp A ws sp1 m (7) 250 20 200 NP (kg CaCO 3 eq./t) ward, ABA tests crudely assume that all sulfur is present as pyrite. If the sample that is being tested contains pyrrhotite as well, overestimation of AP values by up to 1.5 times may occur. In order to take into consideration the presence of more than one type of sulfide mineral in samples, AP should be calculated in the following manner: APp16.33!Xs for pyrite APp11.15!Xs for pyrrhotite calcite Fe0.2Mg0.8CO3 Ca0.5Fe0.3Mg0.2CO3 150 10 Fe0.4Mg0.6CO3 100 5 50 1 where AP in kg sulfuric acid equivalent per tonne, ns is the number of moles of H2SO4 formed by the oxidation of one mole of sulfide mineral s as already defined for NP equation above, 98 is the molecular weight of H2SO4, 10 is the conversion factor for recasting in kg.t –1, Xs is the amount of sulfide mineral s in wt%, vs is the molecular weight of sulfide mineral s (g.mol –1) and m is the number of sulfide minerals in the sample. Molecular weight of pyrite is 120 whereas that of pyrrhotite is 87.9. The AP formula (7) can be simplified as: dolomite 0 Fe0.6Mg0.4CO3 Fe0.8Mg0.2CO3 2 20 10 5 1 2 0 2 4 6 CO 2 (wt%) 8 10 Fig. 1 Mineralogical NP and CO2 relations for various carbonate minerals. Mineral quantities corresponding to 1, 2, 5, 10 and 20 wt % are indicated by symbols on each carbonate line. Calcite and dolomite lines define the maximum NP values for a given CO2 concentration. Dolomite has slightly higher NP than (8) calcite, but the difference is too small to show up at this scale of illustration (9) Similar to NP, AP can be recast in terms kg CaCO3 equivalent per tonne by multiplying Eq. 7 by 1.02 in the case of the reaction in Eq. 2 and 2.04 in the case of the reaction in Eq. 3. Alternately, AP can be calculated from bulk sulfur analysis. This is done by substituting mineral quantities (Xs) in the above equations by the following: Xsp1.85!C for pyrite Xsp2.7!C for pyrrhotite where C is the sulfur concentration in wt%. As the dolomite and calcite lines define the maximum NP values for common carbonate species, no NP value should plot in the region above the calcite line. Thus, points above the calcite/dolomite line are either due to NP contributions from non-carbonate minerals or overestimated NP values. In addition, mineral quantity values indicated on each mineral line provide an additional con(10) straint for interpreting NP values. (11) Theoretical NP variations with CacMg concentrations are shown on Fig. 2. Calcite and magnesian siderite lines on this plot define the upper and lower limits of NP and CacMg values due to carbonate minerals. Four magne- Mineralogical constraints 200 NP (kg CaCO 3 eq./t) Theoretical or mineralogical NP of common carbonate minerals, calculated for a range of mineral quantities by the above technique, are illustrated in Figs. 1 and 2 as a function of CO2 and CacMg concentrations. These plots can serve as the quality checks for NP measurements by defining theoretical limits or constraints placed upon NP by the carbonate minerals. Lines for calcite, dolomite, ankerite and four magnesian siderite compositions are shown on Fig. 1. Magnesian siderite compositions, Fe0.8Mg0.2CO3, Fe0.6Mg0.4CO3, Fe0.4Mg0.6CO3 and Fe0.2Mg0.8CO3 are for illustrative purposes to represent complete solid solution between siderite and magnesite. On the NP vs. CO2 plot, calcite and dolomite lines overlap and determine maximum NP values due to carbonate minerals for a given CO2 concentration. On this plot, the lowest NP values for a given CO2 concentration are from the magnesian siderite example with the highest Fe content (i.e. Fe0.8Mg0.2CO3). Ankerite (Ca0.5Fe0.3Mg0.2CO3) line is between the Fe0.2Mg0.8CO3 and Fe0.4Mg0.6CO3 lines. 250 20 150 100 10 50 5 0 1 0 2 1 2 3 4 5 Ca+ Mg (wt%) Calcite Dolomite Ca0.5Fe0.3Mg0.2CO3 Fe0.2Mg0.8CO3 Fe0.4CO3 Fe0.6Mg0.4CO3 Fe0.8Mg0.2CO3 Plagiodase Hornblende 6 7 8 9 Fig. 2 Mineralogical NP and CacMg relations for various carbonate species shown on Fig. 1. Magnesian siderite and calcite lines define the upper and lower limits for carbonate minerals. Mn-bearing carbonates may plot above the magnesian siderite line. Also shown for comparison are plagioclase (CaAl2Si2O8) and hornblende (Ca1.7Mg3.5Fe1.3Al1.3Si7O22(OH)22) lines Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag 105 Research article sian siderite compositions overlap and define the uppermost limit of NP for a given CacMg concentration. Manganese carbonates such as kutnohorite (Ca0.5Mn0.5CO3) and rhodochrosite (MnCO3) plot above and to the left of the magnesian siderite line. Similarly, Ca and Mg bearing silicates with high neutralization potentials such as plagioclase and hornblende (Paktunc 1999a) also plot above the magnesian siderite lines. An exception to this would be olivine which plots along the magnesian siderite lines. In conclusion, any data plotting outside the carbonate array should be considered suspect. One cautionary note concerning plagioclase, hornblende and olivine lines on the NP vs. CacMg plot, is that maximum NP values were considered as the calculation assumed congruent dissolution of the silicates (Paktunc 1999a). Evaluation of the mineralogical approach characterized by the formulas: CaCO3 and Ca0.5Mg0.5CO3 (Table 3). Siderite contains a significant proportion of Mg; thus, it is referred to as magnesian siderite with the formula Fe0.6Mg0.4CO3. Minor amounts of Mn and Ca are present in the magnesian siderite sample. Magnesite contains minor levels of Fe and Mn. Replicate measurements and analysis of the ABA reference material NBM-1 from CANMET ranged from 31 to 44 kg CaCO3 equivalent per tonne with an average of 40.6B3.7 kg per tonne. Comparing these results to the recommended value of 42 kg per tonne for NBM-1 demonstrates that the method gave reproducible and accurate results; therefore, the NP results for the samples can be accepted with confidence. Measured NP values of the carbonate mineral and quartz mixtures are compared against their theoretical counterparts. As illustrated in Fig. 3, the measured NP values correlate well with the mineralogical NP values for calcite, dolomite and magnesian siderite with correlation coefficients of 0.999, 0.993 and 0.985, respectively. The situation is different for the magnesite samples, however. It appears that the measured NP values of magnesite mixtures are consistently underestimated. Deviation from the mineralogical NP values increase gradually with an increase in the amount of magnesite in the sample. The NP values measured at pH 8.3 and 4.3 are similar; therefore, the discrepancy appears to be related to incomplete dissolution of magnesite. Magnesite is not fully soluble in cold HCl (Mason and Berry 1968); therefore, the modified NP measurement technique does not appear to be suitable for magnesite-bearing samples. The mineralogical NP values of the Kemess South samples correlate with the measured NP values by defining the following relationship with a correlation coefficient of 0.91 (Fig. 4): Measured NP (kg CaCO 3 eq./t) In order to assess the value-added of extending the NP with the knowledge of mineralogical composition, a suite of samples were examined and characterized in terms of their mineralogical and chemical compositions. The sample set represents a wide range of varying amounts of carbonate minerals including calcite, dolomite, ankerite and magnesian siderite as well as some reactive rockforming silicates with neutralizing capacity. The set includes rock samples from the Kemess South deposit in British Columbia and tailings samples from the Louvicourt mine in Quebec. In addition, four sets of samples were prepared by mixing 1, 2, 4, 6, 8, 10, 20 and 40 wt % of calcite, dolomite, siderite and magnesite with quartz. Whole rock chemical compositions were determined by a NPp14.74c0.91!mNP (12) combination of atomic absorption spectrometry, inductively-coupled plasma atomic emission spectrometry at the Analytical Services Group of CANMET. CO2 determinations were made by LECO furnace method. In addition 500 to bulk analyses, Ca and Mg were analyzed following seCalcite lective dissolution of the samples by aqua regia. With the Dolomite 400 exception of the Kemess South samples, NP values were Magnesian siderite determined by the modified acid base accounting test 1 Magnesite 1: procedure (Lawrence and others 1989) and the measure300 ments were made at pH 8.3 and 4.3 (Table 2). NP values of the Kemess South samples, based on the standard ABA 200 technique of Sobek and others (1978), were determined at Chemex Labs Ltd. in North Vancouver. Mineralogical compositions were determined by a combination of opti100 cal microscopy, scanning electron microscopy, X-ray diffraction and electron microprobe techniques. Mineral 0 quantities were determined by a mathematical technique based on linear mixing calculations of mineral chemistry 100 200 300 500 0 400 and bulk compositions (Paktunc 1998). Partial analytical Mineralogical NP (kg CaCO 3 eq./t) results and mineralogical compositions are listed in Table 4. Fig. 3 Electron probe microanalysis of carbonate minerals indi- Comparison of mineralogical NP against the measured NP cate that calcite and dolomite compositions are ideal, values for the synthetic mixtures of carbonate minerals 106 Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag Research article Table 2 Neutralization potentials (NP) of carbonate samples. NP values in kg CaCO3 equivalent per tonne; Mod. NP modified NP; mNP Mineralogical NP Sample Mineral Carbonate wt% Mod. NP @pH 8.3 Mod. NP @pH 4.3 mNP cc-4 cc-5 cc-6 cc-7 cc-8 cc-9 cc-10 cc-11 dol-4 dol-5 dol-6 dol-7 dol-8 dol-9 dol-10 dol-11 mag-4 mag-5 mag-6 mag-7 mag-8 mag-9 mag-10 mag-11 sid-4 sid-5 sid-6 sid-7 sid-8 sid-9 sid-10 sid-11 Calcite Calcite Calcite Calcite Calcite Calcite Calcite Calcite Dolomite Dolomite Dolomite Dolomite Dolomite Dolomite Dolomite Dolomite Magnesite Magnesite Magnesite Magnesite Magnesite Magnesite Magnesite Magnesite Mg siderite Mg siderite Mg siderite Mg siderite Mg siderite Mg siderite Mg siderite Mg siderite 40 20 10 8 6 4 2 1 40 20 10 8 6 4 2 1 40 20 10 8 6 4 2 1 40 20 10 8 6 4 2 1 409 204 102 85 74 57 35 19 434 205 87 102 92 70 38 15 70 37 20 19 13 8 4 3 146 89 22 16 13 7 3 4 410 206 105 88 77 60 38 23 437 208 89 105 95 73 41 16 72 39 22 20 15 10 6 5 336 188 51 38 28 16 7 6 400 200 100 80 60 40 20 10 435 217 109 87 65 43 22 11 474 237 119 95 71 47 24 12 155 78 39 31 23 16 8 4 Table 3 Electron microprobe analysis (wt%) of carbonate minerals. CO2 calculated based on stoichiometry; avg average; st. dev. standard deviation; n number of analysis Sample Mineral N 067994 Dolomite 15 PC-18 Calcite 12 PC-25 Siderite 25 13189 Magnesite 15 avg st. dev avg st. dev avg st. dev avg st. dev CaO MgO FeO MnO CO2 Total 56.40 ~0.04 ~0.09 ~0.08 44.32 100.72 0.32 30.14 22.49 ~0.08 ~0.08 48.24 100.87 0.39 0.37 0.30 14.46 42.14 1.06 42.49 100.45 0.12 1.19 1.44 0.30 ~0.04 47.64 0.40 0.62 52.66 101.32 0.58 0.52 0.29 Formula CaCO3 Ca0.5Mg0.5CO3 where NP is the measured NP and mNP is the mineralogical NP. This relationship indicates that the majority of the measured NP values are slightly overestimated in comparison with the theoretical values. This is also apparent on the NP vs. CO2 plot where majority of the Ke- Fe0.6Mg0.4CO3 MgCO3 mess South samples plot above the calcite or dolomite lines (Fig. 5). The Kemess South samples contain calcite as the dominant carbonate mineral. Since calcite or dolomite line on this plot defines the maximum values of carbonate NP, data points plotting above the calcite or Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag 107 Research article Table 4 Partial bulk chemical composition, mineral quantities, and estimates of acid generation and neutralization potentials. KS Kemess South; Lv Louvicourt; FeO total iron; Caaq Ca aqua regia dissolution; Mgaq Mg aqua regia dissolution; AP, NP (measured), NNP, mNP (calculated based on mineralogy) in kg CaCO3 eq/t; mNP1 in kg H2SO4 eq/t; NP values for the Kemess South samples are based on Sobek and others (1978) whereas the Louvicourt samples modified NP. A complete list of samples used in this study and analytical results are available upon request from the author Sample Location 26138 26284 KS KS 27219 27226 27245 27607 27911 KS KS KS KS KS Partial bulk chemical analyses (wt%) FeO 7.88 4.68 3.06 MgO 1.90 1.96 0.80 CaO 2.50 2.77 1.70 1.71 1.40 1.21 Caaq 0.84 0.83 0.31 Mgaq CO2 0.33 1.17 0.11 S 1.22 2.25 0.07 Partial mineral quantities (wt%) Plagioclase 11.9 25.8 K feldspar 20.4 7.4 Muscovite 16.9 24.1 9.1 Biotite Chlorite 13.8 6.4 Amphibole Calcite 3.3 3.2 1.2 Ankerite Mg siderite Pyrite 2.3 4.0 0.1 Acid-base accounting AP 38 70 NP 40 31 NNP 2 P39 NP/AP 1 0 mNP 33 32 32 32 mNP1 Measured NP (kg CaCO 3 eq./t) 250 2 42 40 18 12 12 9.73 0.70 2.50 1.69 0.35 0.05 0.68 8.41 3.70 1.60 1.16 1.93 0.05 0.08 8.54 2.90 5.50 3.07 0.90 2.24 0.00 17.1 38.3 7.2 19.3 5.6 22.5 0.5 2.0 4.9 1.3 0.2 2.8 21 35 14 2 5 5 3 39 36 15 20 19 0 56 56 49 48 1:1 150 100 50 0 0 150 200 100 50 Mineralogical NP (kg CaCO 3 eq./t) 250 Fig. 4 Comparison of mineralogical NP against the measured NP values 108 Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag 6.20 1.50 2.00 1.29 0.48 0.95 0.03 4.86 1.81 2.99 0.61 0.75 2.05 2.69 3.8 16.3 28.4 34.6 35.1 19.2 11.3 5.3 17.6 3.2 3.8 1 120 119 154 176 173 Kemess South Louvicourt 200 6.23 2.60 8.40 7.19 0.42 6.18 0.03 28115 28190 KS KS 1 29 28 37 32 32 84 45 P39 1 38 37 28205 KS 28298 28579 KS KS 14.20 5.20 5.10 2.41 2.66 1.50 2.50 7.31 1.90 2.70 2.19 0.93 1.58 0.30 37.5 1.7 8.9 11.77 0.80 0.40 0.28 0.08 0.05 4.63 28594 KS 19.11 3.60 3.20 2.24 1.70 1.83 6.60 29706 KS 9.01 3.40 1.60 1.14 1.73 0.18 0.20 5.9 27.2 14.2 13.8 30.5 23.6 41.2 4.7 4.7 18.4 4.7 0.4 5.4 2.1 4.0 0.5 7.7 11.1 0.4 78 49 P29 1 47 46 9 59 50 6 47 46 145 4 P141 0 4 4 206 53 P153 0 54 53 6 32 26 5 21 20 dolomite lines are indicative of overestimated NP values. The line fitted to the Kemess South samples is parallel to the calcite or dolomite line, suggesting a systematic measurement error associated with the NP measurements. When the Sobek NP values are converted to modified NP values by the use of the relationship defined by Lawrence and Wang (1997), most of the Kemess South data points shift to lower NP values below the calcite line (Fig. 5). Similarly, when the Kemess South samples are evaluated on the NP vs. CacMg plot (Fig. 6), it becomes apparent that some samples plot outside the carbonate array. This indicates Ca and/or Mg contributions from non-carbonate minerals with neutralization potentials that are less than those of carbonate minerals. Such incidents will cause an overestimation of NP values based on Ca and Mg concentrations by aqua regia dissolution; therefore, CaaqcMgaq concentrations as a surrogate to NP determinations can only be used with caution. Measured NP values are consistently lower than the mineralogical NP values for the Louvicourt samples (Fig. 4). The samples contain ankerite and magnesian siderite as the dominant carbonate minerals (Paktunc and Wilson 1998); therefore, it is expected that the bulk NP values are controlled by ankerite and magnesian siderite Research article Table 4 Continued Sample Location 29784 KS 29791 KS 29874 KS Partial bulk chemical analyses (wt%) FeO 8.18 9.52 7.34 MgO 1.10 1.60 1.60 CaO 2.30 2.20 1.80 1.55 1.46 1.03 Caaq Mgaq 0.28 0.63 0.69 1.61 1.80 0.56 CO2 S 0.02 0.02 0.62 Partial mineral quantities (wt%) Plagioclase K feldspar Muscovite 31.4 30.6 Biotite Chlorite 7.5 Amphibole Calcite 4.0 Ankerite 5.3 Mg siderite Pyrite Acid-base accounting AP 0 NP 46 NNP 46 NP/AP 98 mNP 40 mNP1 39 NP (kg CaCO3 eq./t) 250 1 47 46 68 40 39 31709 KS 31988 KS 32047 KS 5.42 0.80 2.60 1.85 0.42 1.39 0.45 6.65 3.20 3.70 5.00 0.88 2.14 0.06 8.45 1.30 11.90 9.65 0.71 7.40 3.60 20.1 16.9 11.4 3.2 15.8 10.3 2.5 21.6 4.2 6.8 1.1 6.4 0.8 0.1 19 27 8 1 25 25 113 254 142 2 216 212 3.2 25.7 7.3 14.4 14 63 49 5 42 42 2 84 82 46 68 66 Louvicourt Kemess (Sobek) Kemess (MNP) 200 150 Carbonate field 100 Fe0.6Mg0.4CO3 50 0 Fe0.8Mg0.2CO3 0 1 2 3 4 5 6 CO 2 (wt%) 7 8 9 10 Fig. 5 NP vs. CO2 of Kemess South and Louvicourt samples. Essentially all the Kemess South samples plot within the carbonate field when the Sobek NP values are converted to MNP values. The exception are samples with nearly zero CO2 concentrations but indicating variable NP values of up to about 30 kg CaCO3 eq/t. These are believed to be due to contributions from non-carbonate minerals 32320 KS 32371 KS 10.13 0.30 0.40 0.26 0.12 0.15 1.65 19.2 17.1 2.9 52 14 P38 0 0 0 11.73 5.60 1.70 2.39 1.01 0.11 0.28 32564 KS 8.75 3.40 5.40 3.54 1.44 2.87 0.01 6.2 19.5 17.9 17.0 39.8 25.6 1.8 9.8 32929 37005 KS KS 9.97 3.30 5.40 2.96 1.32 0.08 0.02 53.5 17.4 0.5 9 32 23 4 18 18 0 79 79 281 98 96 1 22 21 29 0 0 3.96 1.80 7.40 2.73 1.86 1.76 1.30 37014 KS 6.44 1.90 3.30 1.18 3.35 0.07 0.07 11.1 51551 KS 13.62 3.60 5.90 3.10 1.75 2.46 3.70 34.5 9.3 11.4 9.3 6.2 7.1 16.9 34.9 4.0 6.8 2.2 0.1 6.0 41 136 95 3 71 70 2 63 61 28 40 40 116 75 P41 1 68 67 (Fe0.7Mg0.3CO3). Instead of plotting above the Fe0.6Mg0.4CO3 line, the Louvicourt samples plot between the Fe0.6Mg0.4CO3 and Fe0.8Mg0.2CO3 lines on the NP vs. CO2 plot (Fig. 5). This indicates that the NP values of the Louvicourt samples are underestimated by the use of the modified NP technique. This appears to be due to high pyrite content of the Louvicourt samples. According to the modified acid base accounting procedure, titration is completed at pH 8.3. Observations of the back-titration curves of some samples suggested the presence of an inflection point at pH 4.3. During titration, hydrolysis of Fe 3c and the precipitation of Fe(OH)3 at about pH 4 probably contributed to residual acidity and underestimation of NP. Thus, NP determinations made at pH 8.3 for these samples are not indicative of the true neutralization potentials of the samples. Instead, NP measurements made at pH 4.3 are comparable with the calculated mineralogical NP values. Although, the NP measurements at pH 8.3 may give more realistic values applicable to field conditions for high sulfide bearing samples, the intend of the NP measurement techniques is to determine the amount of neutralizers present in the sample. In conclusion, NP values determined by conventional acid-base accounting techniques should be treated with caution for samples containing high concentrations of sulfide. True neutralization potentials of such samples may be higher, probably closer to values determined at pH 4.3. Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag 109 Research article Table 4 Continued Sample Location Cell 1A Lv Cell 1B Lv Partial bulk chemical analyses (wt%) FeO 26.24 24.19 MgO 4.64 3.81 CaO 0.98 0.98 Caaq Mgaq CO2 3.00 3.54 S 15.80 15.70 Partial mineral quantities (wt%) Plagioclase K feldspar Muscovite 11.3 16.4 Biotite Chlorite 21.6 13.7 Amphibole Calcite Ankerite 1.9 3.0 Mg siderite 6.4 5.9 Pyrite 27.6 28.4 Acid-base accounting AP 494 491 NP 19 22 NNP P475 P469 NP/AP 0 0 mNP 47 54 46 53 mNP1 Cell 1C Lv Cell 1D Lv Cell 1E Lv Cell 2A Lv Cell 2B Lv Cell 2C Lv Cell 2D Lv Cell 2E Lv 19.43 6.47 1.96 20.46 4.48 1.54 20.84 3.98 1.54 27.15 4.64 1.19 23.93 4.14 1.06 19.43 6.13 2.10 21.74 4.81 2.10 18.65 4.31 1.82 6.04 9.36 5.77 11.20 5.20 11.70 3.26 17.60 3.49 14.60 6.44 9.53 6.00 12.10 5.17 9.01 15.7 16.0 16.6 13.0 15.1 15.0 12.1 16.3 17.8 12.9 13.7 17.9 16.8 16.4 14.8 16.6 7.4 8.0 16.8 4.8 9.5 20.0 4.7 8.4 20.9 2.7 5.8 30.8 2.9 6.1 26.2 7.5 8.8 16.9 6.8 8.3 21.6 5.6 7.4 16.0 293 52 P241 0 100 98 350 40 P310 0 86 85 366 39 P327 0 80 79 550 18 P532 0 51 50 456 21 P435 0 54 53 298 55 P243 0 105 103 378 51 P327 0 97 95 282 42 P240 0 82 81 may serve as rough guides in the classification of geological materials for their potential for AMD. In addition, the new approach can address some of the shortcomings of the static tests. For instance, an assessAn assessment of the AMD potential of individual samment of the behaviour of a sample over time can be ples can be made on sulfide vs. carbonate diagrams. Fig- made with the help of the mineralogical NP approach. ure 7 illustrates the cases for the pyrite-calcite and pyrrSuch an assessment includes the prediction of onset of hotite-calcite pairs. Similar plots can be derived for other AMD which is normally accomplished through the use of acid producing and neutralizing minerals. Lines reprekinetic tests. The mineralogical NP also allows the calcusenting various NP/AP ratios are drawn to visually inter- lation of NP values for individual size fractions. Once the pret the AMD potential of individual samples based on required parameters are determined, NP and AP values their mineral contents. Based on the British Columbia are calculated for individual mineral and size fractions ABA screening guidelines (Price and others 1997), samdissolving at particular time intervals. These are done ples plotting above the NP/AP line of 1 are considered to through the use of a series of iterative calculations debe the likely producers of AMD. The NP/AP line of 1 cor- signed to simulate shrinking particles or shrinking core responds to the calcite/pyrite ratio of 1.67 by weight and particle models (Paktunc 1999a). Such information will 3.1 by volume. Samples plotting below the NP/AP line of not only enhance the meaning of NP and AP values over 4 possess no potential for AMD according to British Co- time but also greatly aid the design and interpretation of lumbia ABA guidelines. This value corresponds to the kinetic tests. Furthermore, NP values of individual minercalcite/pyrite weight ratio of 6.67 (12.4 by volume). Simi- als are useful in the assessment of long-term behaviour larly, NP/AP ratios of 1, 2 and 4 correspond to calcite/ or capacity of a waste rock pile or tailings. Contribution pyrrhotite volume ratios of 1.9, 3.9 and 7.8. In other of slowly dissolving minerals to the overall buffering cawords, in order for a waste material to be considered as pacity in the long term can be significant which should having no AMD potential, it must contain at least 12 be incorporated in the overall AMD evaluation. times as much calcite as pyrite or approximately 8 times as much calcite as pyrrhotite. These mineral proportions Mineralogical NP and prediction of AMD 110 Environmental Geology 39 (2) December 1999 7 Q Springer-Verlag Research article 300 NP (kg CaCO 3 eq./t) 250 Carbonate array 200 150 100 50 0 0 1 2 3 4 5 6 7 8 Ca aq +Mg aq (wt%) 9 10 11 12 Fig. 6 NP vs. CaaqcMgaq plot of the Kemess South samples. The carbonate array is defined by the magnesian siderite and calcite lines shown on Fig. 3 25 Likely potential for AMD NP /A P =1 ;p o 30 Sulfide (vol%) 20 = P /A o NP ;p =2 P /A NP 15 10 = /AP NP y 2; p 4; po AP = / P N = 4; py NP/AP 5 0 py 1; 0 10 20 30 40 Calcite (vol%) 50 60 Fig. 7 Sulfide vs. calcite diagram to evaluate the potential for AMD. Pyrite is represented by py and pyrrhotite by po. NP/AP values of 1, 2 and 4 which represent boundary values between likely, possibly, low and no potential for AMD according to BC guidelines are shown for illustrative purposes Conclusion Presence of high concentrations of Fe-sulfide in samples may result in undermeasurement of NP by the modified acid-base accounting technique. Although, it appears that such underestimated NP values may be more realistic for high sulfide bearing samples in field conditions, the intend of the NP measurement techniques is to determine the amount of neutralizers present in the sample. NP measurements can be made with caution at lower pH values for samples with high concentration of sulfide. Mineralogical constraint diagrams such as NP vs. CO2 and NP vs. CacMg graphs can be used to assess the quality of NP measurements. Mineralogical NP provides a greater degree of confidence to the chemical results. Since individual contributions of minerals to the overall NP values are determined, ambiguities on the interpretation of the results are greatly reduced. Carbonate to sulfide ratios can be used to assess the AMD potential of samples similar to NP/AP ratios. Calcite/pyrite and calcite/pyrrhotite ratios may serve as rough guides to screen samples for the determination of their potential to generate and neutralize acid. The mineralogical NP can address an important shortcoming of the static tests. NP values of individual minerals which are useful in the assessment of long-term behaviour or capacity of mine wastes can be calculated individually. This allows an interpretation of the static testing results and evaluation of the NP and AP values within a kinetic framework. The approach also allows the use of particle size variations in predictive calculations. These features form the basis of a modelling approach that can bridge the gap between the static and kinetic test results by determining the contribution of slowly dissolving minerals to the overall buffering capacity in the long term. Such information can be used to design and interpretation of kinetic tests. Acknowledgements Samples along with some chemical data from the Kemess South property were kindly provided by Silvia M. Heinrich of El Condor Resources in Vancouver. Carbonate minerals from the Geological Survey of Canada’s National Mineral Collection were obtained from Gary Ansell. Whole rock chemical analysis and acid-base accounting tests were carried out by the Analytical Services Group of CANMET. X-ray diffraction and electron microprobe analyses were carried out by Paul Carriere and Gilles Laflamme. Mike Beaulne prepared the samples used in the study. Discussions with Henry Steger and John Graham of CANMET on NP determinations and other aspects of acid-base accounting techniques were helpful. Dr. Henry Steger and Carl Weatherell reviewed the manuscript and provided useful comments. References Coastec Research Inc. (1991) Acid rock drainage prediction manual. Energy, Mines and Resources, Canada, MEND Report 1.16.1 (b) Lapakko KA (1994) Evaluation of neutralization potential determinations for metal mine waste and a proposed alternative. In: Proceedings, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage. 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