Chromium occurrence in a nickel laterite profile and its implications to surrounding surface waters

Delina, Ruth Esther; Arcilla, Carlo A.; Otake, Tsubasa; Garcia, Jhonard John; Tan, Mark; Ito, Akane

doi:10.1016/j.chemgeo.2020.119863

Cited by 18 publications

(19 citation statements)

References 76 publications

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“…The molar Si-(Fe + Al)-Mg ternary diagram reveals a geochemical evolution toward a Si-rich end-member as chemical weathering progresses (Fig. 8a), which is different from the weathering profiles of Ni laterite deposits in other areas such as Cuba, Dominican Republic, Indonesia, and Philippines (Aiglsperger et al 2016;Delina et al 2020;Golightly 1981;Ito et al 2021). Given that the mass transfer coefficients (τ values) indicate that Si was lost in the saprolite and laterite layers at Budaung and Tagaung (Fig.…”

Section: Discussionmentioning

confidence: 83%

Mineralogical evolution of a weathering profile in the Tagaung Taung Ni laterite deposit: significance of smectite in the formation of high-grade Ni ore in Myanmar

et al. 2022

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Myanmar has a drier sub-tropical climate than countries that typically contain Ni laterite deposits, but hosts a Ni laterite deposit at Tagaung Taung. Given that Ni enrichment processes in the Tagaung Taung deposit are poorly understood, we investigated the geochemical and mineralogical evolution of two weathering profiles developed on different bedrocks in the central part of Myanmar: a partly serpentinized harzburgite at Tagaung and an almost completely serpentinized peridotite at Budaung. The whole-rock geochemical data indicate that Si was retained relative to Fe and Al in the weathering profiles. Nickel has been enriched to contents as high as 4.89 wt.% NiO in the saprolite layers at Tagaung, whereas the saprolite layers at Budaung contain ≤1.55 wt.% NiO. Smectite is the main mineral that formed in the saprolite layers at Tagaung, whereas secondary serpentine dominates the saprolite layers at Budaung. Microscopic observations indicate that Ni-smectite (>10 wt.% NiO), which is only observed at Tagaung, formed as a replacement product of orthopyroxene. In addition to the high Ni fixation capacity of smectite relative to secondary serpentine, Ni-rich pore water derived from the dissolution of olivine likely contributed to the high Ni contents of smectite. Our results imply that high-grade Ni laterite deposits may develop on unaltered or partly serpentinized harzburgite under the climatic conditions typical of Myanmar.

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Section: Discussionmentioning

confidence: 83%

Mineralogical evolution of a weathering profile in the Tagaung Taung Ni laterite deposit: significance of smectite in the formation of high-grade Ni ore in Myanmar

et al. 2022

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“…SEP 1 extracted the most (≤6.6%) due to the ligand-promoted dissolution of Crbearing, poorly crystalline Fe (oxyhydr)oxides by 80−82 This is supported by the anomalously high organic bound Fe (≤14%) (Figure S7) that correlates with the increasing trend of poorly crystalline Fe (oxyhydr)oxides down the laterite profile. 18 All other SEPs only extracted <1% of total Fe in this step.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…Synthesis and Preparation of Mineral Standards. Various synthetic and natural mineral references (Table S1) representing the composition of Fe (oxyhydr)oxide-rich laterites 3,18,38 were prepared to optimize the SEP. Pure and metal (Me)-substituted (Me = Al and Cr) ferrihydrite, goethite (α-FeOOH), hematite (α-Fe 2 O 3 ), and pure magnetite [Fe-(II)Fe(III) 2 O 4 ] were synthesized using standard procedures adapted from Schwertmann and Cornell.…”

Section: ■ Introductionmentioning

confidence: 99%

“…The optimized SEP was applied to the Ni laterites and compared to the three SEPs previously used for Cr partitioning in laterites and related tropical soils: the mGSC procedure 32 (SEP 1), the SEPs used in Quantin et al 28 (SEP 2), and Silveira et al 23 (SEP 3) (outlined in Table S2). All SEPs were performed in duplicate on the Palawan Ni laterite samples except for SEP 1, which was previously applied to the same samples in Delina et al 18 In each SEP step, reagents were mixed with powdered samples in acid-cleaned centrifuge tubes and reacted in temperature-controlled orbital shakers at 150−250 rpm. Liquid phases were separated from the residue by centrifugation at 10,052g for 10 min.…”

Section: ■ Introductionmentioning

confidence: 99%

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Partitioning and Mobility of Chromium in Iron-Rich Laterites from an Optimized Sequential Extraction Procedure

Delina,

Perez,

Stammeier

et al. 2024

Environ. Sci. Technol.

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Chromium (Cr) leached from iron (Fe) (oxyhydr)oxide-rich tropical laterites can substantially impact downstream groundwater, ecosystems, and human health. However, its partitioning into mineral hosts, its binding, oxidation state, and potential release are poorly defined. This is in part due to the current lack of well-designed and validated Cr-specific sequential extraction procedures (SEPs) for laterites. To fill this gap, we have (i) first optimized a Cr SEP for Fe (oxyhydr)oxide-rich laterites using synthetic and natural Cr-bearing minerals and laterite references, (ii) used a complementary suite of techniques and critically evaluated existing non-laterite and non-Cr-optimized SEPs, compared to our optimized SEP, and (iii) confirmed the efficiency of our new SEP through analyses of laterites from the Philippines. Our results show that other SEPs inadequately leach Cr host phases and underestimate the Cr fractions. Our SEP recovered up to seven times higher Cr contents because it (a) more efficiently dissolves metal-substituted Fe phases, (b) quantitatively extracts adsorbed Cr, and (c) prevents overestimation of organic Cr in laterites. With this new SEP, we can estimate the mineral-specific Cr fractionation in Fe-rich tropical soils more quantitatively and thus improve our knowledge of the potential environmental impacts of Cr from lateritic areas.

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“…Thus, MLR results for F2 determined mixed sources such as geogenic and anthropogenic inputs, representing a 23.5% contribution (Figure S2a). Overall, geogenic factors, oxidizing conditions, and ultramafic rock support the dissolution of minerals in complex groundwater systems [117], as do anthropogenic inputs such as agrochemicals, industrial discharge, electroplating, and coal combustion [60].…”

Section: Hierarchical Agglomerative Cluster Analysismentioning

confidence: 99%

Groundwater Quality, Health Risk Assessment, and Source Distribution of Heavy Metals Contamination around Chromite Mines: Application of GIS, Sustainable Groundwater Management, Geostatistics, PCAMLR, and PMF Receptor Model

Rashid

Ayub

Ullah

et al. 2023

IJERPH

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Groundwater contamination by heavy metals (HMs) released by weathering and mineral dissolution of granite, gneisses, ultramafic, and basaltic rock composition causes human health concerns worldwide. This paper evaluated the heavy metals (HMs) concentrations and physicochemical variables of groundwater around enriched chromite mines of Malakand, Pakistan, with particular emphasis on water quality, hydro-geochemistry, spatial distribution, geochemical speciation, and human health impacts. To better understand the groundwater hydrogeochemical profile and HMs enrichment, groundwater samples were collected from the mining region (n = 35), non-mining region (n = 20), and chromite mines water (n = 5) and then analyzed using ICPMS (Agilent 7500 ICPMS). The ranges of concentrations in the mining, non-mining, and chromite mines water were 0.02–4.5, 0.02–2.3, and 5.8–6.0 mg/L for CR, 0.4–3.8, 0.05–3.6, and 3.2–5.8 mg/L for Ni, and 0.05–0.8, 0.05–0.8, and 0.6–1.2 mg/L for Mn. Geochemical speciation of groundwater variables such as OH−, H+, Cr+2, Cr+3, Cr+6, Ni+2, Mn+2, and Mn+3 was assessed by atomic fluorescence spectrometry (AFS). Geochemical speciation determined the mobilization, reactivity, and toxicity of HMs in complex groundwater systems. Groundwater facies showed 45% CaHCO3, 30% NaHCO3, 23.4% NaCl, and 1.6% Ca-Mg-Cl water types. The noncarcinogenic and carcinogenic risk of HMs outlined via hazard quotient (HQ) and total hazard indices (THI) showed the following order: Ni > Cr > Mn. Thus, the HHRA model suggested that children are more vulnerable to HMs toxicity than adults. Hierarchical agglomerative cluster analysis (HACA) showed three distinct clusters, namely the least, moderately, and severely polluted clusters, which determined the severity of HMs contamination to be 66.67% overall. The PCAMLR and PMF receptor model suggested geogenic (minerals prospects), anthropogenic (industrial waste and chromite mining practices), and mixed (geogenic and anthropogenic) sources for groundwater contamination. The mineral phases of groundwater suggested saturation and undersaturation. Nemerow’s pollution index (NPI) values determined the unsuitability of groundwater for domestic purposes. The EC, turbidity, PO4−3, Na+, Mg+2, Ca+2, Cr, Ni, and Mn exceeded the guidelines suggested by the World Health Organization (WHO). The HMs contamination and carcinogenic and non-carcinogenic health impacts of HMs showed that the groundwater is extremely unfit for drinking, agriculture, and domestic demands. Therefore, groundwater wells around the mining region need remedial measures. Thus, to overcome the enrichment of HMs in groundwater sources, sustainable management plans are needed to reduce health risks and ensure health safety.

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Chromium occurrence in a nickel laterite profile and its implications to surrounding surface waters

Cited by 18 publications

References 76 publications

Mineralogical evolution of a weathering profile in the Tagaung Taung Ni laterite deposit: significance of smectite in the formation of high-grade Ni ore in Myanmar

Mineralogical evolution of a weathering profile in the Tagaung Taung Ni laterite deposit: significance of smectite in the formation of high-grade Ni ore in Myanmar

Partitioning and Mobility of Chromium in Iron-Rich Laterites from an Optimized Sequential Extraction Procedure

Groundwater Quality, Health Risk Assessment, and Source Distribution of Heavy Metals Contamination around Chromite Mines: Application of GIS, Sustainable Groundwater Management, Geostatistics, PCAMLR, and PMF Receptor Model

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