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Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran

Year 2018, Volume: 156 Issue: 156, 167 - 178, 27.06.2018
https://doi.org/10.19111/bulletinofmre.351449

Abstract

In this study, the Inverse Distant Weighting (IDW) and the
Concentration –area (C-A) fractal methods were used for identifi cations of
geochemical anomalies in Janja region, SE Iran. Eight elements (Au, Cu, Mn, Zn,
Fe, As, Mo, and Pb) from 300 stream sediment samples were used. The studied
area was gridded by 250 m×250 m cells. Estimation of unsampled locations were
carried out by inverse distant squared weighting (IDWS) method. Geochemical
maps were generated. Log- log plots of cumulative frequency of elemental
concentrations versus related areas were constructed. Threshold values were
obtained by fi nding break points in the log-log plots. There were four
geochemical populations for As, Fe, Mo, Pb and Zn and fi ve geochemical
populations for Au, Cu, and Mn. The resulted geochemical anomaly maps obtained
from fractal modelling showed that Anomalies of Zn, Mo, Mn, Fe, Cu and As
located in southeastern part of study area. There was a good correlation
between faults and elementals anomalies. It can be concluded that
mineralization occurred along the faults. There was a correlation between
anomalies and sedimentary rocks (alluvium and recent alluvium sediments) in SE
part of study area. Gold anomalies were located in the NW parts of the studied
area. There was a strong relationship between the location of Au anomalies and
fault systems in the NW parts of the studied area. Iron concentrations were
sporadic and correspond to the sedimentary volcanic rock and turbidites.

References

  • Afzal P., Fadakar Alghalandis Y., Khakzad A., Moarefvand P., Rashidnejad Omran N., 2011. Delineation of mineralization zones in porphyry Cu 304 deposits by fractal concentration–volume modeling. J Geochem Explor 108, 220–232.
  • Afzal, P., Khakzad, A., Moarefvand, P., Rashidnejad Omran, N., Esfandiari, B., Fadakar Alghalandis, Y., 2010. Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran, Journal of Geochemical Exploration 104, 34–46.
  • Camp, V.E., Griffis, R.J.1982. Character, genesis and tectonic setting of igneous rocks in Sistan suture zone. Lithos, Vol.15, pp.21-239.
  • Cheng, Q., Agterberg, F.P., Ballantyne, S.B. 1994. The separation of geochemical anomalies from background by fractal methods. J Geochem Explor 51,109–130.
  • Cheng, Q.1999. Spatial and scaling modeling for geochemical anomaly separation: Journal of Geochemical Exploration, 65,175–194.
  • Daya, A.A., (2015a) Comparative study of C–A, C–P, and N–S fractal methods for separating geochemical anomalies from background: A case study of Kamoshgaran region, northwest of Iran. Journal of Geochemical Exploration. 150: 52–63. Daya, A.A., (2015b) Application of concentration–area method for separating geochemical anomalies from background: a case study of Shorabhaji region, northwest of Iran. Arabian journal of geosciences. 8:3905–3913.
  • Daya, A.A, Afzal, P., (2015). Comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran. Arabian journal of geosciences 8:8263–8275.
  • Daya, A.A., Boomeri, M., Mazraee, (2017). Identification of Geochemical Anomalies by Using of Concentration-Area (C-A) Fractal Model in Nakhilab Region, SE Iran. Journal of mining and mineral engineering. 8,70-81.
  • Davis, John C., 2002. Statistics and Data Analysis in Geology, 3th ed. John Wiley & Sons Inc, New York.
  • Dimiri, V. 2000. Application fractals in earth sciences: Springer- Verlag, New York.
  • Goncalves, M.A., Vairinho, M., Oliveira, V1998. Study of geochemical anomalies in Mombeja area using a multifractal methodology and geostatistics. In: Buccianti A, Nardi G, Potenza R (eds) IVIAMG’98. De Frede, Ischia Island, pp 590–595.
  • Griffis, R.J., Meixner, H.M., Griffis,A.T., Bondar, W.F, Leitch, C.H.B.1977-1978. Report on preliminary mineral reconnaissance aest block, East Iran, Geology and Mineral Survey of Iran.
  • Lima, A., De Vivo, B., Cicchella, D., Cortini, M., Albanese, S. 2003. Multifractal IDW interpolation and fractal filtering method in environmental studies: an application on regional stream sediments of Campania region (Italy). Appl. Geochem. 18, 1853–1865.
  • Mandelbrot, B.B. 1983. The Fractal Geometry of Nature (Update and augmented edition), Freeman, New York, 468 pp.
  • Jimenez-Espinosa, R., Sousa, A.J., Chica-Olmo, M.1993. Identification of geochemical anomalies using principal component analysis and factorial kriging analysis, Journal of Geochemical Exploration, 46, 245-256.
  • Thomson, M., Howarth, R.J.1978. A new approach to the Estimation of Analytical precision, Journal of Geochemical Exploraon, Vol.9.
Year 2018, Volume: 156 Issue: 156, 167 - 178, 27.06.2018
https://doi.org/10.19111/bulletinofmre.351449

Abstract


References

  • Afzal P., Fadakar Alghalandis Y., Khakzad A., Moarefvand P., Rashidnejad Omran N., 2011. Delineation of mineralization zones in porphyry Cu 304 deposits by fractal concentration–volume modeling. J Geochem Explor 108, 220–232.
  • Afzal, P., Khakzad, A., Moarefvand, P., Rashidnejad Omran, N., Esfandiari, B., Fadakar Alghalandis, Y., 2010. Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran, Journal of Geochemical Exploration 104, 34–46.
  • Camp, V.E., Griffis, R.J.1982. Character, genesis and tectonic setting of igneous rocks in Sistan suture zone. Lithos, Vol.15, pp.21-239.
  • Cheng, Q., Agterberg, F.P., Ballantyne, S.B. 1994. The separation of geochemical anomalies from background by fractal methods. J Geochem Explor 51,109–130.
  • Cheng, Q.1999. Spatial and scaling modeling for geochemical anomaly separation: Journal of Geochemical Exploration, 65,175–194.
  • Daya, A.A., (2015a) Comparative study of C–A, C–P, and N–S fractal methods for separating geochemical anomalies from background: A case study of Kamoshgaran region, northwest of Iran. Journal of Geochemical Exploration. 150: 52–63. Daya, A.A., (2015b) Application of concentration–area method for separating geochemical anomalies from background: a case study of Shorabhaji region, northwest of Iran. Arabian journal of geosciences. 8:3905–3913.
  • Daya, A.A, Afzal, P., (2015). Comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran. Arabian journal of geosciences 8:8263–8275.
  • Daya, A.A., Boomeri, M., Mazraee, (2017). Identification of Geochemical Anomalies by Using of Concentration-Area (C-A) Fractal Model in Nakhilab Region, SE Iran. Journal of mining and mineral engineering. 8,70-81.
  • Davis, John C., 2002. Statistics and Data Analysis in Geology, 3th ed. John Wiley & Sons Inc, New York.
  • Dimiri, V. 2000. Application fractals in earth sciences: Springer- Verlag, New York.
  • Goncalves, M.A., Vairinho, M., Oliveira, V1998. Study of geochemical anomalies in Mombeja area using a multifractal methodology and geostatistics. In: Buccianti A, Nardi G, Potenza R (eds) IVIAMG’98. De Frede, Ischia Island, pp 590–595.
  • Griffis, R.J., Meixner, H.M., Griffis,A.T., Bondar, W.F, Leitch, C.H.B.1977-1978. Report on preliminary mineral reconnaissance aest block, East Iran, Geology and Mineral Survey of Iran.
  • Lima, A., De Vivo, B., Cicchella, D., Cortini, M., Albanese, S. 2003. Multifractal IDW interpolation and fractal filtering method in environmental studies: an application on regional stream sediments of Campania region (Italy). Appl. Geochem. 18, 1853–1865.
  • Mandelbrot, B.B. 1983. The Fractal Geometry of Nature (Update and augmented edition), Freeman, New York, 468 pp.
  • Jimenez-Espinosa, R., Sousa, A.J., Chica-Olmo, M.1993. Identification of geochemical anomalies using principal component analysis and factorial kriging analysis, Journal of Geochemical Exploration, 46, 245-256.
  • Thomson, M., Howarth, R.J.1978. A new approach to the Estimation of Analytical precision, Journal of Geochemical Exploraon, Vol.9.
There are 16 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Marzieh Hosseininasab This is me

Ali Akbar Daya This is me

Publication Date June 27, 2018
Published in Issue Year 2018 Volume: 156 Issue: 156

Cite

APA Hosseininasab, M., & Daya, A. A. (2018). Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran. Bulletin of the Mineral Research and Exploration, 156(156), 167-178. https://doi.org/10.19111/bulletinofmre.351449
AMA Hosseininasab M, Daya AA. Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran. Bull.Min.Res.Exp. June 2018;156(156):167-178. doi:10.19111/bulletinofmre.351449
Chicago Hosseininasab, Marzieh, and Ali Akbar Daya. “Separation of Geochemical Anomalies Using Inverse Distant Weighting (IDW) and Concentration-Area (C-A) Fractal Modeling Based on Stream Sediments Data in Janja Region, SE Iran”. Bulletin of the Mineral Research and Exploration 156, no. 156 (June 2018): 167-78. https://doi.org/10.19111/bulletinofmre.351449.
EndNote Hosseininasab M, Daya AA (June 1, 2018) Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran. Bulletin of the Mineral Research and Exploration 156 156 167–178.
IEEE M. Hosseininasab and A. A. Daya, “Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran”, Bull.Min.Res.Exp., vol. 156, no. 156, pp. 167–178, 2018, doi: 10.19111/bulletinofmre.351449.
ISNAD Hosseininasab, Marzieh - Daya, Ali Akbar. “Separation of Geochemical Anomalies Using Inverse Distant Weighting (IDW) and Concentration-Area (C-A) Fractal Modeling Based on Stream Sediments Data in Janja Region, SE Iran”. Bulletin of the Mineral Research and Exploration 156/156 (June 2018), 167-178. https://doi.org/10.19111/bulletinofmre.351449.
JAMA Hosseininasab M, Daya AA. Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran. Bull.Min.Res.Exp. 2018;156:167–178.
MLA Hosseininasab, Marzieh and Ali Akbar Daya. “Separation of Geochemical Anomalies Using Inverse Distant Weighting (IDW) and Concentration-Area (C-A) Fractal Modeling Based on Stream Sediments Data in Janja Region, SE Iran”. Bulletin of the Mineral Research and Exploration, vol. 156, no. 156, 2018, pp. 167-78, doi:10.19111/bulletinofmre.351449.
Vancouver Hosseininasab M, Daya AA. Separation of geochemical anomalies using inverse distant weighting (IDW) and concentration-area (C-A) fractal modeling based on stream sediments data in Janja Region, SE Iran. Bull.Min.Res.Exp. 2018;156(156):167-78.

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