Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran
This study serves the purpose of generating a geochemical Fe-bearing potential map. Stream sediment geochemical survey was employed by collecting 843 samples for analyzing 19 elements and oxides. Taking preprocessing of data (e.g. outlier correction and data normalization) into consideration, a Conc...
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ftdoajarticles:oai:doaj.org/article:a0d93e6ada2347e7b575d5b1b62f32cc 2023-05-15T17:04:18+02:00 Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran Fardin Ahmadi Hamid Aghajani Maysam Abedi 2021-12-01T00:00:00Z https://doi.org/10.22059/ijmge.2021.309744.594863 https://doaj.org/article/a0d93e6ada2347e7b575d5b1b62f32cc EN eng University of Tehran https://ijmge.ut.ac.ir/article_84226_fcde206052a77adbf49f7c46420b07a4.pdf https://doaj.org/toc/2345-6949 2345-6949 doi:10.22059/ijmge.2021.309744.594863 https://doaj.org/article/a0d93e6ada2347e7b575d5b1b62f32cc International Journal of Mining and Geo-Engineering, Vol 55, Iss 2, Pp 171-181 (2021) esfordi stream sediment c-n fractal model p-a plot data-driven index overlay Mining engineering. Metallurgy TN1-997 article 2021 ftdoajarticles https://doi.org/10.22059/ijmge.2021.309744.594863 2022-12-30T23:13:29Z This study serves the purpose of generating a geochemical Fe-bearing potential map. Stream sediment geochemical survey was employed by collecting 843 samples for analyzing 19 elements and oxides. Taking preprocessing of data (e.g. outlier correction and data normalization) into consideration, a Concentration–Number (C-N) fractal model was used to separate different geochemical populations of Fe2O3, TiO2, V and the main multi-element factor in close spatially association with the Fe targeting. A prediction-area (P-A) plot was drawn for each variable to determine the weight of each geochemical indicator. Results indicate that the main geochemical factor with an ore prediction rate of 73%, has occupied 27% of the Esfordi area as favorable zones for further mining propsectivity. The Esfordi as a favorable Fe-bearing zone is of special interest in the NE of the Bafq mining district that hosts important “Kiruna-type” Magnetite-Apatite deposits. In addition, a synthesized indicators map was prepared through implementing a data-driven multi-class index overlay in a similar fashion to the previous version of the method, upon which geochemical potential zones were mostly in the NE part of the Esfordi, intimately linked with intense fault density map. The significance of this study lies in localizing of the most geochemical favorable zones through simultaneous consideration of the C-N and P-A plots accompanied with the incorporation of known active mines and prospects to determine indicator weight. Of note is that the Mineral Potential Mapping (MPM) has higher efficiency over each geochemical indicator with an ore prediction rate of 78% and area occupation of 22%. Article in Journal/Newspaper Kiruna Directory of Open Access Journals: DOAJ Articles Kiruna |
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esfordi stream sediment c-n fractal model p-a plot data-driven index overlay Mining engineering. Metallurgy TN1-997 |
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esfordi stream sediment c-n fractal model p-a plot data-driven index overlay Mining engineering. Metallurgy TN1-997 Fardin Ahmadi Hamid Aghajani Maysam Abedi Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
topic_facet |
esfordi stream sediment c-n fractal model p-a plot data-driven index overlay Mining engineering. Metallurgy TN1-997 |
description |
This study serves the purpose of generating a geochemical Fe-bearing potential map. Stream sediment geochemical survey was employed by collecting 843 samples for analyzing 19 elements and oxides. Taking preprocessing of data (e.g. outlier correction and data normalization) into consideration, a Concentration–Number (C-N) fractal model was used to separate different geochemical populations of Fe2O3, TiO2, V and the main multi-element factor in close spatially association with the Fe targeting. A prediction-area (P-A) plot was drawn for each variable to determine the weight of each geochemical indicator. Results indicate that the main geochemical factor with an ore prediction rate of 73%, has occupied 27% of the Esfordi area as favorable zones for further mining propsectivity. The Esfordi as a favorable Fe-bearing zone is of special interest in the NE of the Bafq mining district that hosts important “Kiruna-type” Magnetite-Apatite deposits. In addition, a synthesized indicators map was prepared through implementing a data-driven multi-class index overlay in a similar fashion to the previous version of the method, upon which geochemical potential zones were mostly in the NE part of the Esfordi, intimately linked with intense fault density map. The significance of this study lies in localizing of the most geochemical favorable zones through simultaneous consideration of the C-N and P-A plots accompanied with the incorporation of known active mines and prospects to determine indicator weight. Of note is that the Mineral Potential Mapping (MPM) has higher efficiency over each geochemical indicator with an ore prediction rate of 78% and area occupation of 22%. |
format |
Article in Journal/Newspaper |
author |
Fardin Ahmadi Hamid Aghajani Maysam Abedi |
author_facet |
Fardin Ahmadi Hamid Aghajani Maysam Abedi |
author_sort |
Fardin Ahmadi |
title |
Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
title_short |
Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
title_full |
Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
title_fullStr |
Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
title_full_unstemmed |
Geochemical potential mapping of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran |
title_sort |
geochemical potential mapping of iron-oxide targets by prediction-area plot and concentration-number fractal model in esfordi, iran |
publisher |
University of Tehran |
publishDate |
2021 |
url |
https://doi.org/10.22059/ijmge.2021.309744.594863 https://doaj.org/article/a0d93e6ada2347e7b575d5b1b62f32cc |
geographic |
Kiruna |
geographic_facet |
Kiruna |
genre |
Kiruna |
genre_facet |
Kiruna |
op_source |
International Journal of Mining and Geo-Engineering, Vol 55, Iss 2, Pp 171-181 (2021) |
op_relation |
https://ijmge.ut.ac.ir/article_84226_fcde206052a77adbf49f7c46420b07a4.pdf https://doaj.org/toc/2345-6949 2345-6949 doi:10.22059/ijmge.2021.309744.594863 https://doaj.org/article/a0d93e6ada2347e7b575d5b1b62f32cc |
op_doi |
https://doi.org/10.22059/ijmge.2021.309744.594863 |
_version_ |
1766058370427518976 |