Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Identification of Buried Metal Ore Deposits using Geochemical Anomaly Filtering and Principal Factors of Power Spectrum

H. Mahdiyanfar

Volume 12, Issue 1 , January 2021, , Pages 205-218


  Over the past two decades, the frequency domain (FD) of the geochemical data has been studied by some researchers. Metal zoning is one of the challenging subjects in the mining exploration, where a new scenario has been proposed for solving this problem in FD. Three mineralization areas including the ...  Read More

Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis

H. Mahdiyanfar

Volume 10, Issue 3 , July 2019, , Pages 695-704


  Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate ...  Read More

Prediction of dispersed mineralization zone in depth using frequency domain of surface geochemical data

H. Shahi

Volume 8, Issue 3 , July 2017, , Pages 433-446


  Discrimination of the blind and dispersed mineralization deposits is a challenging problem in geochemical exploration. The frequency domain (FD) of the surface geochemical data can solve this important issue. This new exploratory information can be achieved using the interpretation of FD of geochemical ...  Read More

Prediction of mineral deposit model and identification of mineralization trend in depth using frequency domain of surface geochemical data in Dalli Cu-Au porphyry deposit

H. Shahi; R. Ghavami Riabi; A. Kamkar Ruhani; H. Asadi Haroni

Volume 6, Issue 2 , July 2015, , Pages 225-236


  In this research work, the frequency domain (FD) of surface geochemical data was analyzed to decompose the complex geochemical patterns related to different depths of the mineral deposit. In order to predict the variation in mineralization in the depth and identify the deep geochemical anomalies and ...  Read More

A GIS-based weights-of-evidence model for mineral potential mapping of hydrothermal gold deposits in Torbat-e-Heydarieh area

Hossein Shahi; Abulghasem Kamkar Rouhani

Volume 5, Issue 2 , July 2014, , Pages 79-89


  The method of weights of evidence is one of the most important data driven methods for mineral potential mapping in GIS. In this method, considering the characteristics of known mineralized locations, we can prospect new mineralized areas. In this research work, the method of weights of evidence has ...  Read More