Primary geochemical haloes and alteration zoning applied to gold exploration in the Zarshuran Carlin-type deposit, northwestern Iran

Aliyari, Farhang; Yousefi, Tohid; Abedini, Ali; Calagari, Ali Asghar

doi:10.1016/j.gexplo.2021.106864

Cited by 6 publications

(2 citation statements)

References 56 publications

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“…The Zarshuran unit consists of grey-to-black shale, which was partially metamorphosed to grey-to-black schist. Gold mineralization is mainly associated with Au-bearing pyrite and arsenic-containing pyrite in this unit (Aliyari, et al, 2021). The Cambrian dolostone of the Soltanieh Formation overlies the black shale of the Zarshuran unit.…”

Section: Figurementioning

confidence: 91%

Remediation of heavy metals by native plant species grown in Iran’s richest gold mine and study of plants’ pollution tolerance strategies

Torbati,

Esmailbegi Kermani,

Abedini

2024

Front. Earth Sci.

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Mining is defined as an environmentally hazardous activity that releases metals and other elements to the environment. Bioremediation is a natural and sustainable technique for harnessing the potential of microorganisms and plants to remove, degrade, or stabilize pollutants from contaminated sites and enable cleanup and restoration of the environment. In the present study, following the investigation of pollution of heavy metals in soil samples collected from the Zarshuran mining area, the role of twenty native plant species in the bioaccumulation of heavy metals was evaluated. After preparation of soil and plant samples, inductively coupled plasma-mass spectroscopy (ICP-MS) was used to determine the concentrations of elements in the soil and plant samples. It was confirmed that the soil samples were highly contaminated by silver (Ag), zinc (Zn), cadmium (Cd), lead (Pb), and antimony (Sb). High amounts of Pb and Zn were accumulated in Eryngium billardieri and Astragalus rostratus. Further, these two plant species could uptake, transport, and accumulate Ag in their aerial parts and the enrichment coefficient of their shoots was more than 1. Scorzonera latifolia also had good potential to stabilise Ag, Zn, and Pb in its root. As a result, E. billardieri, A. rostratus, and S. latifolia may be suitable candidate species to clean heavy metals from soils in contaminated sites. Overall, augmentation of superoxide dismutase activity and the amounts of total phenols and flavonoids in different parts of E. billardieri and A. rostratus confirmed the induction of antioxidant defense systems in the plants (compared to the control plants) and an attempt by the plants to tolerate heavy metal pollution.

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Section: Figurementioning

confidence: 91%

Remediation of heavy metals by native plant species grown in Iran’s richest gold mine and study of plants’ pollution tolerance strategies

Torbati,

Esmailbegi Kermani,

Abedini

2024

Front. Earth Sci.

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“…Metallogenic prediction is the application of geological theory and related technical methods that synthesizes basic data (such as geology, remote sensing geology, geophysics, geochemistry, etc.) using GIS technology and information integration technology to establish a regional comprehensive information mineral prediction model [1,2] for quantitative evaluation of mineral resources, and it is an important means of information finding in the field of mineral resources exploration at present [3]. At the same time, under the guidance of the generalized ore deposit geological model, reasonable metallogenic prediction theory, and appropriate mathematical geological methods, geographic information system (GIS) technology is used to carry out integrated management of multi-source geological information through its powerful spatial information processing.…”

Section: Introductionmentioning

confidence: 99%

Research on Prospecting Prediction Based on Evidence Weight

Chen¹,

Lang²

2022

Atmosphere

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There are many small and medium-sized orogenic copper deposits in the Jinman–Lanping area of Yunnan. In order to standardize mining, long-term planning, and unified management, it is necessary to further delineate prospecting areas. In order to improve the efficiency of prospecting, a data-driven approach is established. This paper uses the weight of evidence model to make prospecting predictions, and it then delineates the prospective prospecting area. The relevant evidence layers in the weight of evidence model are geochemical anomalies and remote sensing iron staining anomalies. Among them, the geochemical anomaly layer mainly uses the concentration–area (C-A) fractal model to separate the geochemical background and anomaly acquisition. The remote sensing iron-stained anomaly layer mainly uses bands (1, 4, 5, 7), and bands (1, 3, 4, 5) were combined for principal component analysis to extract abnormal iron staining. Finally, using the weight of evidence model, the spatial element layers (evidence layers) from different sources were combined, and the interaction between them was analyzed. It is pointed out that the area has good prospects for prospecting, and the prospective prospecting area was thus delineated.

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Alteration and mineralization patterns in orogenic gold deposits: Constraints from deposit observation and thermodynamic modeling

Wang²,

Yang³

et al. 2022

Chemical Geology

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Primary geochemical haloes and alteration zoning applied to gold exploration in the Zarshuran Carlin-type deposit, northwestern Iran

Cited by 6 publications

References 56 publications

Remediation of heavy metals by native plant species grown in Iran’s richest gold mine and study of plants’ pollution tolerance strategies

Remediation of heavy metals by native plant species grown in Iran’s richest gold mine and study of plants’ pollution tolerance strategies

Research on Prospecting Prediction Based on Evidence Weight

Alteration and mineralization patterns in orogenic gold deposits: Constraints from deposit observation and thermodynamic modeling

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