Habibollah Torshizian

Islamic Azad University, Mashhad

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Peyman Afzal

Islamic Azad University South Tehran Branch

Nahid Fyzollahhi

Islamic Azad University North Tehran Branch

Kambiz Rahbar

Islamic Azad University South Tehran Branch

Amir Bijan Yasrebi

Sharif University of Technology

Andrew Wetherelt

University of Exeter

Mohammad Reza Jafari

Soil Conservation and Watershed Management Research

Ali Solgi

Czech Academy of Sciences, Institute of Geology

Hassan Saadati

North Khorasan University of Medical Sciences

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Islamic Azad University, Science and Research Branch

Islamic Azad University, Tehran

University of Exeter

Islamic Azad University South Tehran Branch

Islamic Azad University Central Tehran Branch

Islamic Azad University North Tehran Branch

Islamic Azad University, Mashhad

McMaster University

Sharif University of Technology

Amirkabir University of Technology

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Geochemical exploration for lithium in NE Iran using the geochemical mapping prospectivity index, staged factor analysis, and a fractal model

Geochemistry Exploration Environment Analysis (2020)

Hassan Saadati Peyman Afzal Habibollah Torshizian Ali Solgi

Geochemical exploration for rare metals, specifically lithium, is essential on a regional scale based on their demand and consumption in recent years. The main objective of this study was to delineate lithium anomalies in regional exploration utilizing the geochemical mapping prospectivity index (GMPI), staged factor analysis (SFA), and a concentration-number (C-N) fractal model based on stream sediments. The case study area is 26000 km 2 and is located in the Khorasan Razavi province (NE Iran). In addition, rock samples were used to validate the Li anomalies identified. Results derived via the SFA show that Li was located on a factor denoted as F1-3 with Be, Cs, F, Nb, Sn, Th, U and W, which was used for calculation of the GMPI values. The GMPI data were classified by the C-N fractal method for determination of the Li anomalies. The main anomalies with GMPI ≥ 0.7 and Li ≥ 48 ppm were situated in the SE, SW, north and south parts of the study region. Li grades of rock samples were categorized by the C-N fractal technique for validation of F2-2 anomalies using a log-ratio matrix. The main anomalies were correlated with related lithological units of Li mineralization types. This correlation indicates that the main GMPI–Li anomalies are associated with granitic–pegmatitic units in the central and SE parts, and overlap with clay minerals in the northern and southern sectors of this region. There is good potential for Li mineralization as demonstrated by this hybrid method.

Prospectivity mapping

10.1144/geochem2020-020

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Application of modified wavelet and fractal modeling for detection of geochemical anomaly

Geochemistry (2021)

Habibollah Torshizian Peyman Afzal Kambiz Rahbar Amir Bijan Yasrebi Andrew Wetherelt

Morlet wavelet

Anomaly (physics)

10.1016/j.chemer.2021.125800

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Citations (10)