Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Identification of Buried Metal Ore Deposits using Geochemical Anomaly Filtering and Principal Factors of Power Spectrum

مجله معدن و محیط زیست، دوره: 12، شماره: 1
Year: 1400
COI: JR_JMAE-12-1_015
Language: EnglishView: 81
This Paper With 14 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 14 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

H. Mahdiyanfar - Department of Mining Engineering, University of Gonabad, Gonabad, Iran

Abstract:

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 Dalli (Cu-Au), Zafarghand (Cu-Mo), and Tanurcheh (Au-Cu) mineralization areas are selected for this investigation. After transferring the surface geochemical data to FD, the geochemical signals obtained are filtered using the wavenumber-based filters. The high and moderate frequency signals are removed, and the residual signals are interpreted by the statistical method of principal component analysis (PCA). In order to discriminate the deep metal ore deposits, the principal factors of elemental power spectrum extracted by PCA are depicted in a novel diagram (PC۱ vs. PC۲). This approach indicates that the geochemical data in the Dalli and Zafarghand deep ore deposits have similar frequency behaviors. The Au, Mo, and Cu elements in these two areas are discriminated from the Au, Mo, and Cu mineralization elements of the Tanurcheh area as a deep non-mineralization zone in this diagram. This new criterion used for distinguishing the buried ore deposits and deep non-mineralization zones is properly confirmed by the exploratory deep drilled boreholes. The geochemical anomaly filtering demonstrates that the strong signatures of deep mineralization are associated with the low frequency geochemical signals at the surface, and the buried mineralization areas with weak surface anomaly can be identified using the geochemical FD data.

Keywords:

Paper COI Code

This Paper COI Code is JR_JMAE-12-1_015. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1200439/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Mahdiyanfar, H.,1400,Identification of Buried Metal Ore Deposits using Geochemical Anomaly Filtering and Principal Factors of Power Spectrum,https://civilica.com/doc/1200439

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :

  • Sifuzzaman M., Islam M. R, and Ali M.Z., 2009. Application ...
  • Cheng Q., Xu Y., Grunsky E., 1999. Intergrated spatial and ...
  • Cheng Q., Xu Y., and Grunsky E., 2000. Integrated Spatial ...
  • Parsa, M., Maghsoudi, A., Yousefi, M., and Sadeghi, M., 2017. ...
  • Roshanravan B., Tabatabaei S.H., Kreuzer O., Moini H., and Parsa ...
  • Koohzadi F., Afzal P., Jahani D., and Pourkermani M., 2020. ...
  • Cao L., Cheng Q., 2012. Quantification of anisotropic scale invariance ...
  • Saljoughi B.S., Hezarkhani A, 2019. Identification of geochemical anomalies associated ...
  • Zuo R., Carranza E.J.M, and Cheng Q., 2012. Fractal/multifractal modelling ...
  • Zuo R., Xia Q., Zhang D., 2013. A comparison study ...
  • Zuo R., Wang J., 2015. Fractal/multifractal modeling of geochemical data: ...
  • Ghezelbash R., Maghsoudi A., and Daviran M., 2019. Combination of ...
  • Maghsoudi A., Yousefi M., and Carranza E.J.M., 2017. Multifractal interpolation ...
  • Zuo R., 2011. Identifying geochemical anomalies associated with Cu and ...
  • Wang H., Zuo R., 2015. A comparative study of trend ...
  • Afzal P., Fadakar Alghalandis Y., Moarefvand P., Rashidnejad Omran N., ...
  • Khalili H., Afzal, P., 2018. Application of spectrum-volume fractal modeling ...
  • Shahi H., Ghavami Riabi R., Kamkar Ruhani A., and Asadi ...
  • Shahi H., Ghavami. R, Rouhani A.K., 2016. Detection of deep ...
  • Mahdiyanfar H., 2019. Detection of Mo geochemical anomaly in the ...
  • Johnson R.A., Wichern D.W., 2002. Applied multivariate statistical analysis (Vol. 5, No. ...
  • Parsa M., Maghsoudi A., Carranza E.J.M., and Yousefi M., 2017. ...
  • Lisitsin V., 2015. Spatial data analysis of mineral deposit point ...
  • Parsa M., Maghsoudi A., and Yousefi M., 2018. Spatial analyses ...
  • Jolliffe I.T. and Cadima, J., 2016. Principal component analysis: a ...
  • Naik G.R. ed., 2017. Advances in Principal Component Analysis: Research and ...
  • Cios K.J., Swiniarski R.W., Pedrycz W., and Kurgan L.A., 2007. ...
  • Dobrin M.B., Savit C. H., 1988. Geophysical propecting: McGraw-Hill Book ...
  • Shahi H., Ghavami R., Kamkar Rouhani A., and Asadi-Haroni H., ...
  • Darabi-Golestan F., Ghavami-Riabi R., and Asadi-Harooni H., 2013. Alteration, zoning ...
  • Asadi Haroni H., 2008. First Stage Drilling Report on Dalli ...
  • Asadi Haroni H., 2013. Preliminary Exploration at Zafarghand Porphyry Copper ...
  • Farzamian M., Rouhani A.K., Yarmohammadi A., Shahi H., Sabokbar H.F., ...
  • Karimpour M., 2004. Geological report of Tanurcheh mineralization area, Zarmehr ...
  • Cheng Q., 2014. Vertical distribution of elements in regolith over ...
  • Cohen D.R., Kelley D.L., Anand R., and Coker W.B., 2010. ...
  • Cheng Q., 2012. Singularity theory and methods for mapping geochemical ...
  • Lin J., Kang L., Liu C., Ren T., Zhou H., ...

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: دانشگاه دولتی
Paper count: 404
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support