J. Cent. South Univ. (2017) 24: 1627-1636
DOI: 10.1007/s11771-017-3568-8
Metallogenic mechanism of Pingguo bauxite deposit, western Guangxi, China: Constraints from REE geochemistry and multi-fractal characteristics of major elements in bauxite ore
CAO Jing-ya(曹荆亚)1, 2, WU Qian-hong(吴堑虹)1, 2, LI Huan(李欢)3,
OUYANG Cheng-xin(欧阳承新)1, 2, 4, KONG Hua(孔华)1, 2, XI Xiao-shuang(奚小双)1, 2
1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring of Ministry of Education (Central South University), Changsha 410083, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
3. Department of Resources Science and Engineering, Faculty of Earth Resources, University of Geosciences, Wuhan 430074, China; 4. Engineering Research Center of Hunan Earthquake Administration, Changsha 410001, China
Central South University Press and Springer-Verlag Berlin Heidelberg 2017
Abstract: Major and REE geochemistry and multi-fractal analysis of two types of bauxite (primary bauxite and accumulated bauxite) ores were studied in Pingguo bauxite orefield in western Guangxi, China. The results of geochemical data show that the accumulated bauxite has a feature of high Al2O3 whereas relative low Fe2O3 and SiO2 contents compared to the primary bauxite. The similar chondrite-normalized rare earth element (REE) patterns illustrate that they have a cognate relationship. However, the negative Ce anomalies of primary bauxite and positive Ce anomalies of accumulated bauxite indicate that the ore-forming system changed from reducing environment to oxidation environment. The results of multi-fractal spectrum and parameters of Al2O3, Fe2O3 and SiO2 between primary bauxite and accumulated bauxite show that the distinct multi-fractal spectrum parameters reflect the different grade distribution between accumulated and primary bauxite ores. Metallogenic process from primary bauxite to accumulated bauxite is accompanied by the loss of diffluent elements (e.g., Si and S) and enrichment of stable elements (e.g., Al and Fe) in the surface environment. Among the rest, the migration mechanism of iron during the evolutionary process from primary ore to accumulated ore can be described as combined leaching and chemical weathering action with participation of sulfur.
Key words: geochemistry; multi-fractality; boxing-counting method; metallogenic mechanism; Pingguo bauxite
1 Introduction
Although there are many standards of classification for bauxite deposits, classification based on different basements present in beneath bauxite deposits is most widely used. It is well accepted that bauxite deposits can be divided into two types: karstic and lateritic. Bauxite deposits overlying paleokarstic surfaces of carbonates are called karstic bauxites, and those lying on alumosilicate rocks are named lateritic bauxites [1].
Western Guangxi holds one of the important bauxite resources in China, accounting for 16% of China’s bauxite reserves. There are two different types of karstic bauxite deposits in western Guangxi: one is primary bauxite (PB) formed during the Permian by sedimentation, and the other is accumulated bauxite (AB, also called Salento-type bauxite) which is transformed from the primary bauxite after a series of processes such as disintegration, oxidation and re-sedimentation [2]. Geochemical and mineralogical characteristics, source of ore-forming materials and metallogenic environment of these bauxite deposits have been examined by a number of researchers in recent years, and some important achievements have been made [3, 4]. Studies indicate that the drain of silicon, magnesium, alkalis and other diffluent elements with the residual enrichment of aluminum, iron and other immobile elements is necessary prerequisite during the process of bauxitization [5-7]. It is widely accepted that weathering and leaching processes lead to the erosion of silicon and other elements from PB; consequently, aluminum gets enriched passively and then bauxite quality is improved [8, 9]. However, most previous studies mainly focused on the descriptive distribution statistics of metallogenic elements (e.g., Al2O3, Fe2O3 and SiO2) using traditional methods [10], while few of them tried to characterize this process by using quantitative data analytics. Studies on the migration mechanisms of Al2O3, Fe2O3 and SiO2 (especially Fe2O3) during ore evolution from primary bauxite to accumulated bauxite are still the weak link in our understanding. What is the spatial distribution pattern for Al2O3, Fe2O3 and SiO2 in PB and AB? How should we describe the enrichment degree of Al2O3, Fe2O3 and SiO2 quantitatively? What is the migration mechanism of Fe during the process from PB to AB? This study examines these questions by analyzing major and REE geochemistry contents and the multi-fractal characteristics of Al2O3, Fe2O3 and SiO2 contents in Pingguo bauxite ore, hoping to offer some new insights into the metallogenic mechanism of Pingguo-type accumulated bauxite.
2 Geological background and deposit geology
The important bauxite metallogenic belt, located in Western Guangxi, southwest portion of China (Fig. 1), is composed by Pingguo, Jingxi and Debao ore fields. This fourth-largest bauxite metallogenic belt in China lies in the transition zone between Yangtze Block and Cathaysian Block. Long periods of tectonic inactivity from the Upper Devonian to the Middle Permian lead to the ultra-thick accumulation of shallow sea carbonate sediments in this area [3]. The subsequent Dongwu movement caused a large-scale regression event in the continental interior of South China beginning in the Middle Permian [11]. Consequently, the limestone of Middle Permian Maokou Formation was exposed at the surface and the original soil and regolith were converted from carbonates by chemical weathering, thereby providing abundant materials for bauxite formation [12]. Alternatively, it has been proposed that volcanic eruptions in the Emei area contributed some,or even the main part, of the ore-forming materials [13]. In the late Permian, abundant laterite (considered metallogenic materials) together with the large-scale transgression event and an appropriate paleoclimate contributed to the formation of primary bauxite deposits in western Guangxi. Cenozoic tectonic events lifted the deposited bauxite-bearing layers which were exposed and broken- up and accumulated in the karstic depressions and the primary bauxite deposits during the events and the primary bauxite deposits were transformed into accumulated bauxite ores [2].
Fig. 1 Simplified geological map of Pingguo bauxite orefield, Guangxi, China
The Pingguo bauxite orefield is located in the western Guangxi Province and consists of Nadou, Taiping, and Guohua deposits. The main exposure strata in this area are Devonian sandstone and carbonates, Carboniferous carbonates, Permian limestone, Triassic sandstone and carbonate, as well as Quaternary glutenite (Fig. 1). A series of NW trending anticlines controlled distribution pattern of orebodies. The primary bauxite orebody which lies between the Late Permian Heshan Formation and the Middle Permian Maokou Formation has a varied thickness (0.5-3m) due to the uneven carbonate basement (Fig. 2(a)). The accumulated bauxite ores with laterites, which have a complicated configuration, are strictly controlled by geomorphology and karstification. The accumulated bauxite ores occur in the karst depressions within the Quaternary laterite profiles; from bottom to top the ore-bearing layer is composed of a lateritic layer, ores mixed with laterites, and clay stratum ((Fig. 2(b)). Both primary and accumulated ores show a pisolitic,oolitic honeycomb or massive structure (Figs. 2(c) and (d)). XRD analysis indicates that diaspore is the main mineral for PB, followed by anatase and goethite, with kaolinite, hematite, muscovite and pyrite as rare minerals (Fig. 2(e)). In contrast, the major minerals of AB are diaspore, hematite, kaolinite, anatase, gibbsite, goethite and rutile (Fig. 2(f)).
3 Methodology
3.1 Major geochemistry of Al2O3, Fe2O3 and SiO2 compositions
In this work, 99 samples of PB were collected from 17 drills, and 1527 samples of AB were collected from over a hundred shallow wells. The sampling area can be found in Fig. 1. According to the national standards of China, Al2O3, Fe2O3 and SiO2 compositions of each sample were determined by EDTA titrimetric method, potassium dichromate titration method and gravimetric-molybdenum blue method. The analytical methods follow the procedures described by MENG et al [14], LIU and XU [15] and WANG [16], respectively.
Fig. 2 Field and micro-photographs characters of bauxite ore
3.2 REE geochemistry
Nine PB samples and six AB samples collected from Nadou mining area were chosen for rare earth elements (REE) analysis which was carried out in the Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Central South University, Changsha. The samples were analyzed by using inductively coupled plasma mass spectrometry (ICP-MS) VG PQ-EXCELL with analytical uncertainties generally better than 5%.
3.3 Multi-fractal method description:boxing-counting method(BCM)
HALSEY et al [17] proposed the multi-fractal analysis of moments approach, and several methods for multi-fractal calculation have gained wide acceptance. Among them, the boxing-counting method (BCM) is widely used due to its computational simplicity and high reliability [18]. Based on generalized dimensions and singularity spectrum functions, the computation procedures of BCM can be summarized as follows.
Firstly, suppose that R is the length of the ore grade sequence, and R is divided into n nonoverlapping boxes. Measurement pi in each box can be defined as
(1)
where mi is the sum of the ore grades in box i; mτ is the sum of the total ore grades in the sequence; i=0, 1, 2, …, +∞; n(r)=R/r. Then the partition function x(q) is defined as
(2)
where q is the factor of weight and is also an index variable.
Then, we define the mass exponent τ(q) which was first introduced by HENTSCHEL and PROCACCIA [19], and τ(q) can be calculated by the following formula:
(3)
Consequently, we can obtain the singularity exponent a(q) and function of multi-fractal spectrum f(a) by the Legendre transform and formulas which are expressed as follows:
(4)
(5)
where a is the index of singularity strength, which can be used to characterize the singularities of ore grade sequences. The values of amin and f(amin) can be calculated when the weight q is maximal; amax and f(amax) are derived when q is minimal. When q is equal to 0, the curve of the multi-fractal spectrum reaches the culmination. The shape and the singularity spectrum of f(a)-curve imply crucial information about the internal distribution features of the study object. Generally speaking, the shape of the multi-fractal spectrum curve is concave downward. The widths of multi-fractal spectrum curves Δa in the spectrum can be defined by the following equation:
Δa=amax-amin (6)
Meanwhile, the height difference Δf is the essential parameter in multi-fractal analysis. Here, we can obtain the values of Δf from formulas below:
Δf=f(amax)-f(amin) (7)
BCM is carried out over the massive Al2O3, Fe2O3 and SiO2 grade data of samples from PB and AB. The function of multi-fractal spectrum is calculated by Eqs. (1)–(7) and value range of q is taken from –5 to 5 with increment at 0.5. The associated r values are 0.025, 0.05, 0.1, 0.2, 0.25 and 0.5, respectively. Accordingly, computational procedure is done by the VBA program for excel.
4 Results
4.1 Statistics of Al2O3, Fe2O3 and SiO2 compositions
Table 1 illustrates the main descriptive statistics for Al2O3, Fe2O3 and SiO2 contents and related parameters of all samples. The chemical compositions of samples from PB are dominated by Al2O3 30.7%-73.21% (average 51.98%), Fe2O3 3.04%-55.36% (average 11.50%), and SiO2 2.53%-55.36% (average 12.16%). Ratios of Al-to-Si and Al-to-Fe range from 1.45 to 42.56 and 0.92 to 10.91, respectively, with average values at 7.99 and 6.63. Samples from AB contrast significantly, with distinct chemical compositions: Al2O3 35.58%- 71.6% (average 67.17%), Fe2O3 1.04%-20.28% (average 3.42%), and SiO2 0.49%-13.01% (average 10.39%). Ratios of Al-to-Si and Al-to-Fe range from 1.26 to 65.69 and 1.35 to 36.39, respectively, with average values of 22.65 and 8.28. Based on the data in Table 1, we can conclude that the Al concentration increases and the ore quality improves from PB to AB. However, we do not have sufficient data to accurately map the distribution of chemical compositions in the sample area.
4.2 REE compositions
The results of the REE analyses are listed in Table 2.
Table 1 Contents of Al2O3, Fe203 and SiO2 and related characteristic elemental ratios at Pingguo bauxite deposit
Table 2 Rare earth element contents in samples from Pingguo Bauxite, western Guangxi.
The samples of PB have variably high total REE contents (106×10-6 to 692×10-6), and the chondrite- normalized REE patterns display right-dipping distribution patterns (Fig. 3(a)). LREE/HREE ratios of PB range from 1.9 to 5.19, with a medium negative Eu anomalies (δEu=0.45 to 0.58) and significant negative or weak positive Ce anomalies (δCe=0.36 to 1.09). In general, the samples of AB have the similar REE distribution patterns (Fig. 3(b)) and the REE contents range from 106×10-6 to 530×10-6. LREE/HREE ratios of PB range from 0.97 to 3.93, with a medium negative Eu anomalies (δEu=0.51 to 0.76) and significant positive Ce anomalies (δCe=1.13 to 2.78). In summary, both the PB and AB are characterized by enrichment of LREE and relatively right-dipping distribution patterns, with a deep “V” shape.
4.3 Multi-fractal characteristics
The results of multi-fractal analysis using BCM method are listed in Table 3. Δa and Δf are important parameters in multi-fractal analysis. Δa can provide a measure of multi-fractal spectrum. The higher value of Δa represents a heterogeneous pattern of grades distribution, while, on the contrary, the lower value of Δa indicates that the pattern of grade distribution is homogeneous. In other words, higher Δa values imply more clustered distributions and higher degrees of singularity [21, 22]. A positive Δf value means that the multi-fractal spectrum is right-hooked, indicating that smaller values within the dataset hold a dominant position. In contrast, a negative Δf value represents a left-hooked multi-fractal spectrum, implying that the dataset is dominated by larger values [21, 22]. So, a higher Δa and lower (negative) Δf are the essential parameters for identifying a better mineralization area or a higher quality deposit [21].
Fig. 3 Chondrite-normalized REE patterns of PB (a) and chondrite-normalized REE patterns of AB (b) (Normalized values for chondrite are from Taylor and McLennan [20])
Table 3 Multi-fractal parameters of Al2O3, Fe2O3 and SiO2 contents in Pingguo bauxite deposit
As shown in Figs. 4(a) and (b), the spectrum curves of τ(q) and f(a) are concave functions with q, which confirm the multi-fractal behavior of these sequences. The Δa values of Al2O3, Fe2O3 and SiO2 in AB are higher than those in PB respectively, whereas the Δf values of Al2O3 and Fe2O3 in AB are negative and obviously lower than those in PB. However, the Δf values of SiO2 in both PB and AB are positive and Δf values of PB are larger.
5 Discussion
5.1 Significance of multi-fractal analysis of PB and AB
As a significant branch of nonlinear mathematical analysis, fractal methods are used to describe the distribution of inhomogeneous or irregular objects, and have been demonstrated to be very useful to reveal the extent of inhomogeneity or irregularity [23-26]. Multi-fractal analysis is applied to describe the object requiring many fractal indices to characterize its scaling properties. In recent years, due to the development of computer science and powerful software (GIS in particular), multi-fractal analysis has been widely used in geo-science fields such as oil and gas indices determination [27], resource potentiality appraisement [28] and geological phenomena discrimination [29, 30]. With the application of multi-fractal theory, a new relationship between geoscience and computer science, with great promising prospects, has been established.
Multi-fractal analysis reveals that the singularity and heterogeneity of multi-fractal distributions of Al2O3, Fe2O3 and SiO2 in AB are higher than those in PB, indicating that some specific grades of Al2O3, Fe2O3 and SiO2 in AB are higher than those in PB. The smaller negative Δf values of Al2O3 and Fe2O3 and larger positive Δf values of SiO2 in AB indicate that the high grades of Al2O3 and Fe2O3 have predominance in AB over those in PB while low grades of SiO2 in both PB and AB dominate. Based on the analysis above, the conclusion can be drawn that the contents of Al2O3 and Fe2O3 get enriched and the content of SiO2 gets depleted during the evolutionary process from PB to AB.
Fig. 4 Multi-fractal spectra of Al2O3, Fe2O3 and SiO2 in Pingguo bauxite deposit
In order to better understand the PB to AB evolutionary process and the degree of clustering of Al2O3, Fe2O3 and SiO2, we performed a contrastive analysis using a new parameter, Δw which is defined as
(8)
As summarized in Table 2, the Δw values of Al2O3, Fe2O3 and SiO2 are -0.680, -0.291 and 0.056, respectively. This implies that although Al2O3 and Fe2O3 get enriched, the enrichment degree of Al2O3 is higher than that of Fe2O3. Consequently, we can speculate that the Fe2O3 content is likely diluted compared with Al2O3. Moreover, the multi-fractal analysis can give quantitative evidence regarding the variation of Al2O3, Fe2O3 and SiO2 contents from PB to AB.
5.2 Metallogenic mechanism of bauxite from PB to AB
The distribution of aluminum, iron, silicon and other elements in PB and AB are a function of their respective geochemical characters, and the similar REE distribution patterns show the homologous relation between PB and AB. In general, aluminum, iron and silicon will migrate away during the process of weathering from PB to AB. However, vast losses of silicon and other elements lead to the enrichment of aluminum and iron passively. Previous studies have placed emphasis on the loss of silicon and the diffluent elements [31], while further investigation is still necessary to understand the active geochemical mechanisms of iron in the transformation from PB to AB. Although a general understanding of variation of Al2O3, Fe2O3 and SiO2 during the ore-forming process was obtained by multi-fractal analysis, more evidence is still needed. It is clearly demonstrated that the Al2O3 contents display a more negative relationship with Fe2O3 and SiO2 in AB than those in PB (Figs. 5(a)-(d)). Moreover, the multi-fractal analyses above indicate that a massive loss of iron occurs during the transition process. Losses of silicon and iron play significant roles in improving qualities of AB and while we know that SiO2 can be leached out in the way of kaolinite, and the loss mechanism of kaolinite has been researched deeply [2]. The loss mechanism of iron is rather complicated and it needs more attention. Recent studies have shown that the metallogenic physical-chemical environment has a great impact on the evolution of bauxite minerals [1]. As a variable valence rare earth element, Ce is sensitive to changes in chemical environment [32, 33]. The occurrence of positive Ce anomalies in AB and negative Ce anomalies in AB are due to variation in the oxidation state of Ce (from Ce3+ to Ce4+). Obviously, the different Ce anomalies in PB and AB illustrate that the ore-forming process of PB was likely to be under deoxidized conditions and AB was formed in an oxidation environment. Moreover, pyrite is found in PB (Fig. 2(e)) and iron minerals mainly occur as ferric iron in AB (Fig. 2(f)). So, the conclusion can be drawn that the evolutionary process from PB to AB took place under the conditions of epigenetic oxidation. In addition, sulfur removal from PB could be a significant factor in this transition, and the probable reactions of this process can be expressed in the chemical equation bellow:
4FeS2+15O2+8H2O=4FeO(OH)+8H2SO4 (9)
Sequentially, another chemical reaction may proceed:
2FeO(OH)+3H2SO4=Fe2(SO4)3+4H2O (10)
Fig. 5 Plots of Al2O3 vs Fe2O3 of PB (a), Al2O3 vs SiO2 of PB (b), Al2O3 vs Fe2O3 of AB (c) and Al2O3 vs SiO2 of AB (d)
Since Fe2(SO4)3 dissolves easily in water, it can be carried to the bottom of AB by leaching process. However, due to the alkaline barrier formed by the underlying carbonates, iron sulfates were precipitated and oxidized into hematite. Eventually, deposition and weathering resulted in a layer of red clay at the bottom of sequences. Based on the assumption of an improvement in the intensity of the leaching and improved drainage conditions, iron, silicon and other impurities were eroded away during the evolutionary process from PB to AB. Thus, the qualities of AB were greatly improved and this made AB a significant bauxite type in western Guangxi.
6 Conclusions
1) The chemical compositions of PB and AB have different features. Compared to PB, AB is characterized by high Al2O3 contents, high ratios of Al2O3-to-SiO2 and Al2O3-to-Fe2O3 with low compositions of Fe2O3 and SiO2.
2) Chondrite-normalized REE patterns of both PB and AB display right-dipping distribution characteristics with LREE abundances and negative Eu anomalies. However, the negative Ce anomalies of PB and positive Ce anomalies of AB indicate that the ore-forming environment was transformed from a reducing environment to an oxidizing environment.
3) The multi-fractal boxing-counting method was used for the analysis of Al2O3, Fe2O3 and SiO2 contents of primary and accumulated bauxite ore in the Pingguo bauxite deposit, western Guangxi. Al2O3, Fe2O3 and SiO2 contents of bauxite present a characteristic multi-fractal distribution. During the evolutionary process from a primary bauxite deposit to an accumulated bauxite ore, Al2O3 and Fe2O3 contents get enriched whereas SiO2 content is depleted.
4) Plausible geochemical mechanisms for the evolution of AB from PB were discussed. Ore quality of accumulated bauxite is improved due to continuous draining of silicon and iron. However, the migration of iron is via the transformation from pyrite in primary bauxite to soluble iron sulfates in accumulated bauxite. This metallogenic process is of great significant and makes the accumulated bauxite into an important ore in western Guangxi, with high Al2O3, high Al-to-Si, low Fe2O3 and low SiO2.
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(Edited by YANG Hua)
Cite this article as: CAO Jing-ya, WU Qian-hong, LI Huan, OUYANG Cheng-xin, KONG Hua, XI Xiao-shuang. Metallogenic mechanism of Pingguo bauxite deposit, Western Guangxi, China: Constraints from REE geochemistry and multi-fractal characteristics of major elements in bauxite ore [J]. Journal of Central South University, 2017, 24(7): 1627-1636. DOI: 10.1007/s11771-017-3568-8.
Foundation item: Project(GX2007CAQB01) supported by the Key Research Project of Aluminum Corporation of China Limited; Project(41502067) supported by the National Natural Science Foundation of China
Received date: 2015-12-16; Accepted date: 2016-08-01
Corresponding author: WU Qian-hong, Professor; Tel: +86-731-88877077; E-mail: qhwu19@163.com