Application of multivariate geostatistical simulation and fractal analysis for detection of rare earth elements (REEs) geochemical anomalies in Esfordi phosphate mine, Central Iran

2021 ◽  
pp. geochem2020-035
Author(s):  
Mojtaba Shamseddin Meigooni ◽  
Mohammad Lotfi ◽  
Peyman Afzal ◽  
Nima Nezafati ◽  
Maryam Kargar Razi
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Geostatistical Simulation ◽  
Sequential Gaussian Simulation ◽  
Combined Approach ◽  
Fractal Modeling ◽  
Geochemical Anomalies ◽  
Phosphate Mine ◽  
Log Ratio

The present study was conducted to determine different geochemical anomalies of rare earth elements (REEs) using a combined approach of stepwise factor analysis (SFA), sequential Gaussian simulation (SGS) ,and concentration-area (C-A) fractal modeling based on surface lithogeochemical samples obtained from the Esfordi phosphate mine (Central Iran). The Esfordi mine is one of the important mines in Bafq metallogenic zone due to average and maximum grade of 0.5 and 1.7%, respectively for REEs. According to SFA operation in two steps, the REEs were placed in the first factor of the second stage (F1-2). Then, the SGS method and C-A fractal modeling were performed on F1-2 factor scores for classification of anomalies. Log-ratio matrix was used to evaluate the correlation of these results with anomalous lithogeochemical samples, as well as to determine the relationship of anomalies with rock types and mineralized units and finally, to validate the results of SGS-fractal modeling. The results confirmed an appropriate correlation between F1-2 anomalies and high-concentration in further rock samples. The main anomalies were found to have good correlation with apatite-iron unit and in general with other apatite-bearing units based on overall accuracy values. The apatite-bearing units with high values of REEs were located in northern and central parts of the mine. The results of combined approach of SFA, SGS, and C-A fractal modeling showed that this hybrid approach can be useful in determining anomalies with proper accuracy.

Geochemical anomaly recognition of rare earth elements using multi-fractal modeling correlated with geological features, Central Iran

2017 ◽  
Vol 181 ◽  
pp. 318-332 ◽  
Author(s):  
Masoumeh Khalajmasoumi ◽  
Behnam Sadeghi ◽  
Emmanuel John M. Carranza ◽  
Martiya Sadeghi
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Geochemical Anomaly ◽  
Fractal Modeling ◽  
Geological Features

Geochemistry of major and rare earth elements in garnet of the Kal-e Kafi skarn, Anarak Area, Central Iran: Constraints on processes in a hydrothermal system

2016 ◽  
Vol 54 (5) ◽  
pp. 423-438 ◽  
Author(s):  
S. Ranjbar ◽  
S. M. Tabatabaei Manesh ◽  
M. A. Mackizadeh ◽  
S. H. Tabatabaei ◽  
O. V. Parfenova
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Hydrothermal System ◽  
Central Iran

scholarly journals Controls on the distribution of arsenic and rare earth elements in groundwaters of the Bafgh city area, central Iran

2017 ◽  
Vol 18 (5) ◽  
pp. 1590-1597
Author(s):  
Kaveh Pazand
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Groundwater Samples ◽  
Tube Wells ◽  
Heavy Rare Earth Elements ◽  
Geological Origin ◽  
Gd Anomaly ◽  
Flat Profile ◽  
Light Rare Earth Elements

Abstract High arsenic (As) contents in groundwater were found in the Bafgh area in central Iran and chosen for hydrogeochemical study. A total of 20 groundwater samples were collected from existing tube wells in the study areas in 2013 and analyzed. The water chemistry is predominantly of Na–Cl type, with concentrations of dissolved As in the range between 0.9 and 74.7 μg/L. The chondrite-normalized rare earth elements patterns exhibited a flat profile, positive Gd anomaly with a predominance of light rare earth elements (LREEs) over heavy rare earth elements (HREEs), suggest that they originated from the same source. The metals in the groundwater of the region have a geological origin.

scholarly journals Principal component analysis of rare earth elements in Sechahun iron deposit, central Iran.

2018 ◽  
Vol 6 (2) ◽  
pp. 205
Author(s):  
Mohammadali Sarparandeh ◽  
Ardeshir Hezarkhani
Keyword(s):  
Principal Component Analysis ◽  
Rare Earth ◽  
Rare Earth Elements ◽  
Precious Metals ◽  
Principal Component ◽  
Component Analysis ◽  
Central Iran ◽  
Iron Deposit ◽  
Geochemical Exploration ◽  
Specific Element

Principal component analysis (PCA) is a sufficient way for finding the groups of correlated features. In geochemical exploration of precious metals, it helps to cluster the elements. Especially for rare earth elements (REEs), because of multiplicity of parameters, the proposed method helps to have a better interpretation. Geochemical exploration programs aim to find the hidden information about specific element(s), its abundance, its behavior and its relation with minerals and some other elements. REEs are a group of elements with same chemical behavior. However, some chemical characteristics of light rare earth elements (LREEs) and heavy rare earth elements (HREEs) are different. In this study, relationship between these elements was investigated by applying PC analysis method in Kiruna-type iron ore deposit of Se-Chahun in Central Iran. The four first PCs covered the most variances of the REEs. All the elements showed a correlation together with exception of La, Ce, Nd, Yb and Y. Results of PC analysis are related to the anomaly of Rare earth elements. It can be concluded that in anomalous areas, loadings of the principal components are affected by variance and anomalous content of the elements.  

A study of differentiation pattern and rare earth elements migration in geochemical and hydrogeochemical environments of Airekan and Cheshmeh Shotori areas (Central Iran)

2012 ◽  
Vol 68 (3) ◽  
pp. 719-732 ◽  
Author(s):  
Mostafa Esmaeili-Vardanjani ◽  
Reza Shamsipour-Dehkordi ◽  
Alireza Eslami ◽  
Firouz Moosaei ◽  
Kaveh Pazand
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Differentiation Pattern

Studying distribution of rare earth elements by classifiers, Se-Chahun iron ore, Central Iran

2016 ◽  
Vol 36 (2) ◽  
pp. 232-239
Author(s):  
Mohammadali Sarparandeh ◽  
Ardeshir Hezarkhani
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Iron Ore ◽  
Central Iran
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