Delineation of geochemical anomalies based on stream sediment data utilizing fractal modeling and staged factor analysis

Afzal, Peyman; Mirzaei, Misagh; Yousefi, Mahyar; Adib, Ahmad; Khalajmasoumi, Masoumeh; Zarifi, Afshar Zia; Foster, Patrick; Yasrebi, Amir Bijan

doi:10.1016/j.jafrearsci.2016.03.009

Cited by 66 publications

(7 citation statements)

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“…The mathematical expression of the Concentration-number (C-N) fractal model is given by the following equation (Mandelbrot, 1983;Hassanpour and Afzal., 2013;Sadeghi et al, 2012;Afzal et al, 2016):…”

Section: Fractal Technique and C-n Modelmentioning

confidence: 99%

Radioactive heat production characterization of Ar-Rassafeh Badyieh area (area-2), Syria by using aerial gamma ray spectrometric and fractal modeling techniques

Asfahani

2022

GeofInt

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Aerial gamma-ray spectrometric technique is used herein to evaluate the radioactive heat production (HP) of Ar-Rassafeh Badyieh Area (Area-2), Syria. The nine already established lithological scored units of Area-2 have been separately characterized for the heat production HP parameter. The Concentration-number (C-N) model and the log-log plots associated with fractal technique are proposed and applied as a new approach to map the measured equivalent uranium (eU), the equivalent thorium (eTh), and potassium (K%) and the computed heat production (HP) of Area-2. The HP of Area-2 varies between a minimum of 0.06 and a maximum of 4.28 ?w/m3 with an average of 0.548 ?w/m3 and a standard deviation of 0.27?w/m3. The highest observed HP values are related to the phosphatic environments represented by two lithological scored units A and B.

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Section: Fractal Technique and C-n Modelmentioning

confidence: 99%

Radioactive heat production characterization of Ar-Rassafeh Badyieh area (area-2), Syria by using aerial gamma ray spectrometric and fractal modeling techniques

Asfahani

2022

GeofInt

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“…Clustering is the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset could share some common similarity according to some defined distance measure [3,4,12,31]. Factor analysis takes as input a large number of variables and describes them with small number of factors in order to reduce the data dimension [1,2,18,20].…”

Section: Hierarchical Clustering and R-mode Analysismentioning

confidence: 99%

Classification of rock types using multivariate analysis in the Dezak area, SW Iran

et al. 2020

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The geochemical multivariate techniques were applied to recognize different geological units and categorized rock types which accompanied by different penalties. Knowing changes and classification of raw materials with macroscopic and microscopic quantification have direct effect on economic and efficiency in a precipitated calcium carbonate plant. Based on lithological changes, the Darian Formation was divided into four rock units based on a total of 492 chip samples collected from the study area. The main aim objective of this study was to classify the rock types in this area using a multivariate analysis combining the R-mode factor analysis and K-Means method. Due to the opposite vector orientation of SiO

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“…The superiority of the fractal modelling technique is proven because of using all the available data and considering their spatial relations with each other (Afzal et al 2010;Carranza, 2008;Cheng et al, 1994;Hassanpour and Afzal, 2013;Li et al, 2003;Wang et al, 2008;Heidari et al, 2013;Afzal et al, 2011;2016;2017a,b;Sadeghi et al, 2012;Rahmati et al, 2015;Meigoony et al, 2014;Nazarpour et al, 2015;Cheng 2007;Hosseini et al, 2015).…”

Section: Concentration-number (C-n) Fractal Modelling Techniquementioning

confidence: 99%

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

Asfahani

2019

Contributions to Geophysics and Geodesy

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The available aerial gamma-ray spectrometric data of Ar-Rassafeh Badyieh area (Area-2) are used herein for geological interpretations and mapping purposes. Those data are interpreted by the concentration-number (C-N) fractal modelling technique, with the use of log-log graphs. According to C-N model, different radioactive ranges of TC, eU, eTh, and K have been isolated. Those ranges are thereafter used to characterize the lithological outcrops in the study area. The radioactive signatures of all the outcrops in Area-2 have been discussed and documented through establishing the C-N maps of TC, eU, eTh, and K, and benefiting of the available geological map. The C-N fractal modelling technique proves its efficacy, where radioactive and lithological boundaries of outcrops are in concordance. The case study presented in this paper shows the importance and the role of airborne gamma-ray spectrometric and fractal modelling techniques to support the geological mapping and the interpretations in geological context, particularly when the study region is rugged and difficult to be accessed.

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Delineation of geochemical anomalies based on stream sediment data utilizing fractal modeling and staged factor analysis

Cited by 66 publications

References 50 publications

Radioactive heat production characterization of Ar-Rassafeh Badyieh area (area-2), Syria by using aerial gamma ray spectrometric and fractal modeling techniques

Radioactive heat production characterization of Ar-Rassafeh Badyieh area (area-2), Syria by using aerial gamma ray spectrometric and fractal modeling techniques

Classification of rock types using multivariate analysis in the Dezak area, SW Iran

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

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