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Paper Number: 74
Application
of fractal modelling for integration of data layers in GIS, Case study:
Sharafabad-Hizehjan area (NW Iran)
Rasi,
R.1, Afzal, P.1, 2, Khalajmasoumi,
M.3, Yasrebi, A.B.2, Wetherelt, A.2,
Sadeghi, B.4, Mohammadi, B.5
1Department
of Mining Engineering, South Tehran Branch, Islamic Azad University,
Tehran, Iran, P_Afzal@azad.ac.ir
.
2Camborne
School of Mines, University of Exeter, Penryn, UK
3Department
of Geology, Islamic Azad University, Science and Research Branch,
Tehran, Iran
4Department
of Earth and Oceans, James Cook University, Townsville, Queensland 4811,
Australia
5Geological
Survey of Iran (G.S.I), Tehran, Iran
___________________________________________________________________________
The aim of this study is to indicate an Au prospect utilizing fractal
modelling in the Hizehjan-SharafAbad area, NW Iran, which is located in
the Alborz-Azerbayjan structural zone and the Arasbaran metallogenic
belt. In this study, Au geochemical anomalies, lithological layers,
alteration zones, faults, vein densities and geophysical data were
generated and integrated into a GIS package. Different populations of
the geochemical anomalies, faults and vein densities were determined
based on Concentration-Number (C-N) and Concentration-Area (C-A) fractal
models [1, 2]. In addition, these layers were converted to a raster
format and subsequently weighted using an Index Overlay method and
fractal modelling for the subsequent identification of Au prospects.
Finally, results obtained by the Index Overlay method were classified by
the C-A fractal modelling. The results revealed that significant Au
prospects were situated in the NW and central parts of the study
area.
Figure 1: Au prospects base on C-A fractal model
References:
[1] Hassanpour Sh and Afzal, P (2013) Arab J Geosci 6: 957-970
[2] Cheng Q et al. (1994) J Geochem Explor 51:109–130
