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分形模型在确定伊朗中部北科恰卡利煤矿床稀土元素与断层关系中的应用。

Application of fractal models for determining the relationship between REEs and faults in North Kochakali coal deposit, Central Iran.

作者信息

Golshan Mojtaba Bazargani, Arian Mehran, Afzal Peyman, Saein Lili Daneshvar, Aleali Mohsen

机构信息

Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.

出版信息

Sci Rep. 2025 Jan 8;15(1):1276. doi: 10.1038/s41598-025-85795-5.

DOI:10.1038/s41598-025-85795-5
PMID:39779806
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11711549/
Abstract

The purpose of this research is to use the Concentration-Distance (C-D) fractal model to determine the relationship between the concentrations of ƩREEs and faults in coal seams of the North Kochakali coal deposit. For this purpose, three Concentration-Distance fractal models including: ƩREEC-DDF, ƩREEC-DSF, and ƩREEC- DTF were created based on ƩREEs concentrations and the distance from dextral, sinistral, and thrust faults, respectively. Four different geochemical populations were obtained according to fractal diagrams. The ƩREEC -DDF fractal model indicate that the very high geochemical population that includes the highest concentrations of ƩREEs in coal seams are located at a distance of 36-76 m from dextral faults with normal component, which indicates a positive relationship between ƩREEs mineralization and the distance from the dextral faults. Therefore, dextral faults with normal component were determined as the main factor of ƩREEs enrichment in coal seams of North Kochakali. Dextral faults with normal component acted after the formation of coal seams in North Kochakali coal deposit. So, the mineralization of REEs in North Kochakali coal deposit is epigenetic. Finally, the Concentration-Distance fractal model can be used as a suitable method to isolate the main mineralization and detect the relationship between faults and mineralized zones.

摘要

本研究的目的是利用浓度-距离(C-D)分形模型来确定北科恰卡利煤矿床煤层中稀土元素总量(ƩREEs)浓度与断层之间的关系。为此,分别基于ƩREEs浓度以及与右旋、左旋和逆冲断层的距离,创建了三个浓度-距离分形模型,即ƩREEC-DDF、ƩREEC-DSF和ƩREEC-DTF。根据分形图获得了四个不同地球化学总体。ƩREEC-DDF分形模型表明,煤层中ƩREEs浓度最高的极高地球化学总体位于距具有正断层分量的右旋断层36 - 76米处,这表明ƩREEs矿化与距右旋断层的距离之间存在正相关关系。因此,具有正断层分量的右旋断层被确定为北科恰卡利煤层中ƩREEs富集的主要因素。具有正断层分量的右旋断层在北科恰卡利煤矿床煤层形成之后活动。所以,北科恰卡利煤矿床中稀土元素的矿化作用是后生的。最后,浓度-距离分形模型可作为一种合适的方法来分离主要矿化作用并检测断层与矿化带之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/5149c42d0788/41598_2025_85795_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/c2fa129a1947/41598_2025_85795_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/0100ea744748/41598_2025_85795_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/924b39f387a8/41598_2025_85795_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/8fdecc54c3f8/41598_2025_85795_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/3f4fd2cabb5f/41598_2025_85795_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/5149c42d0788/41598_2025_85795_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/c2fa129a1947/41598_2025_85795_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/0100ea744748/41598_2025_85795_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/924b39f387a8/41598_2025_85795_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/8fdecc54c3f8/41598_2025_85795_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/3f4fd2cabb5f/41598_2025_85795_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6959/11711549/5149c42d0788/41598_2025_85795_Fig6_HTML.jpg

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本文引用的文献

1
Coal fly ash as a resource for rare earth elements.作为稀土元素资源的煤粉煤灰。
Environ Sci Pollut Res Int. 2015 Jun;22(12):9464-74. doi: 10.1007/s11356-015-4111-9. Epub 2015 Jan 24.