Application of concentration–number (C–N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran

Hassanpour, Shohreh; Afzal, Peyman

doi:10.1007/s12517-011-0396-2

Cited by 103 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The plutonic complex consists of a gabbrodioritemonzodiorite intruded by a granodiorite porphyry stock, which hosts an alteration zone with well-developed K-silicate, quartzsericite, and argillic hydrothermal associations. Mineralization occurs mainly in A-type but also D-type quartz veins (Hassanpour and others, 2010;Hassanpour and Afzal, 2013).…”

Section: Haft Cheshmeh Porphyry Depositmentioning

confidence: 99%

Porphyry copper assessment of the Tethys region of western and southern Asia: Chapter V in <i>Global mineral resource assessment</i>

Zürcher¹,

Bookstrom²,

Hammarstrom³

et al. 2015

Scientific Investigations Report

View full text Add to dashboard Cite

For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1-888-ASK-USGS (1-888-275-8747).For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprod.To order this and other USGS information products, visit http://store.usgs.gov.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted material contained within this report.Suggested citation: Zürcher, L., Bookstrom A.A., Hammarstrom, J.M., Mars, J.C., Ludington, S., Zientek, M.L., Dunlap, P., and Wallis, J.C., with contributions from Drew, L.J., Sutphin, D.M., Berger, B.R., Herrington, R.J., Billa, M., Kuşcu, I., Moon, C.J. ,and Richards, J.P., 2015, Porphyry copper assessment of the Tethys region of western and southern Asia: U.S. Geological Survey Scientific Investigations Report 2010-5090-V, 232 p., and spatial data, http://dx.doi.org/10.3133/sir20105090V. AbstractA probabilistic mineral resource assessment of undiscovered resources in porphyry copper deposits in the

show abstract

Section: Haft Cheshmeh Porphyry Depositmentioning

confidence: 99%

Porphyry copper assessment of the Tethys region of western and southern Asia: Chapter V in <i>Global mineral resource assessment</i>

Zürcher¹,

Bookstrom²,

Hammarstrom³

et al. 2015

Scientific Investigations Report

View full text Add to dashboard Cite

show abstract

“…The concentration-area (C-A) fractal model proposed by Cheng et al (1994) [21] can be used to compute quantitative geochemical and geophysical anomaly thresholds, and it has been widely used in geological, geochemical, and geophysical exploration [22][23][24][25][26][27][28][29][30][31][32]. Combining the C-A fractal model with the Crosta technique has been shown to be effective in identifying alteration zones in the Hashtjin area (Iran) [33], which suggests that the C-A fractal model is also useful for remote sensing studies.…”

Section: Introductionmentioning

confidence: 99%

Integration of Concentration-Area Fractal Modeling and Spectral Angle Mapper for Ferric Iron Alteration Mapping and Uranium Exploration in the Xiemisitan Area, NW China

Qiu

Zhang

Hu³

2015

Remote Sensing

View full text Add to dashboard Cite

Abstract:The high-grade uranium deposits in the Xiemisitan area, northwestern China, are genetically associated with the faulting of felsic volcanic or sub-volcanic rocks. Ferric iron alteration indicates that oxidizing hydrothermal fluids percolated through the rocks. In this study, we measured the gamma-ray intensities of rocks in the Xiemisitan area and we propose a hybrid method for the mapping of ferric iron alteration using concentration-area fractal modeling and spectral angle mapper. The method enables ferric iron alteration to be distinguished from potash-feldspar granitic rocks. The mapping results were integrated with structural data to assist with exploration for uranium in the study area. Using this approach, six prospective areas of mineralization were proposed. Of these areas, two anomalies with high gamma-ray intensities of 104 and 650 Uγ were identified and verified by field inspection. These observations suggest that Enhanced Thematic Mapper Plus images are a valuable tool that can improve the efficiency of uranium exploration.

show abstract

“…Fractal/multifractal models, which were established by Mandelbrot (1983), are more appropriate than conventional classical statistics methods because the spatial distribution of elemental concentrations are not interpreted in the conventional classical statistics methods (Cheng et al 1994;Wang et al 2008;Afzal et al 2010;Hassanpour and Afzal 2013;Hashemi and Afzal 2013;Heidari et al 2013;Hosseini et al 2014;Paravarzar et al 2014). Several applicable fractal/multifractal models in geochemical exploration have been proposed, namely, concentration-area (C-A: Cheng et al 1994), concentration-perimeter (C-P: Cheng et al 1994), concentration-distance (C-D: Li et al 2003), spectrum-area (S-A: Cheng 1999), concentration-volume (C-V: Afzal et al 2011), spectrum-volume (S-V: Afzal et al 2012), and concentration-number (C-N: Hassanpour and Afzal 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Several applicable fractal/multifractal models in geochemical exploration have been proposed, namely, concentration-area (C-A: Cheng et al 1994), concentration-perimeter (C-P: Cheng et al 1994), concentration-distance (C-D: Li et al 2003), spectrum-area (S-A: Cheng 1999), concentration-volume (C-V: Afzal et al 2011), spectrum-volume (S-V: Afzal et al 2012), and concentration-number (C-N: Hassanpour and Afzal 2013).…”

Section: Introductionmentioning

confidence: 99%

Prospecting of Ni mineralization using fractal models based on lithogeochemical data in Patang area, Eastern Iran

et al. 2015

View full text Add to dashboard Cite

The aim of this study is to delineate the main Ni geochemical anomalies using concentration-perimeter (C-P) and concentration-number (C-N) fractal modeling based on lithogeochemical data in the Patang area, Eastern Iran. Results obtained by the C-P and C-N fractal modeling revealed that the extreme and high anomalies for Ni are located in the SE and NW parts of the studied area, which is associated with ultrabasic rocks especially peridotite and serpentinized harzburgites with an intensive lisvenitic alteration. Correlation between the main anomalies in the SE part of the area and mineralographical data indicated that there are high Ni values with respect to ore minerals including nickelite and ullmannite. Furthermore, results derived via the C-N fractal modeling revealed that the low intensive anomalies for Ni occur in the central parts of the area. Moreover, the main prospects for Ni are located in the SE and NW parts of the area suggesting that a detailed exploration should be conducted.

show abstract

Application of concentration–number (C–N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran

Cited by 103 publications

References 19 publications

Porphyry copper assessment of the Tethys region of western and southern Asia: Chapter V in <i>Global mineral resource assessment</i>

Porphyry copper assessment of the Tethys region of western and southern Asia: Chapter V in <i>Global mineral resource assessment</i>

Integration of Concentration-Area Fractal Modeling and Spectral Angle Mapper for Ferric Iron Alteration Mapping and Uranium Exploration in the Xiemisitan Area, NW China

Prospecting of Ni mineralization using fractal models based on lithogeochemical data in Patang area, Eastern Iran

Contact Info

Product

Resources

About