Scholarly record
MINERALOGICAL COMPOSITION OF THE SEDIMENTS FROM THE COPPER ORE PROCESSING (AN EXAMPLE FROM POLAND)
Abstract
Sediments analyzed were taken from Е»elazny Most tailing dam, the biggest in Europe. Sediments were investigated by granulometric, mineralogical and chemical methods: microprobe analyses, fluorescence and spectrometric method as weel. Granulometric composition allowed us classify it as silty sands and sands. The carbonate and sulhate grains, illite and kaolinite were identified. Haevy minerals appeared in quantity less then 10\%. This fraction consists of chalcocite, chalkopiryte, marcasite, piryte, covellite and digenite. Concentration of Cu, Zn, Pb, Ag, Co and Ni was indicated using EDS and microprobe analyses.
Publication details
References15
BANASZAK A. et al. (ed), 2008
Cuprum, Lubin (in Polish). DUCZMAL
- CZERNIKIEWICZ A., ZIEL sediments at the western embankment of Żel Downorowicz L. (ed). Konf. Nauk.-Techn. Lub DUDA R., WITCZAK S, 2003
- Modelling o Żelazny Most flotation tailings dam., Gosp.
PAN, Kraków. GALOS K., 2003
- Mineral waste raw materi management of mineral raw materials. Gosp.
PAN, Kraków. GÓRSKI R., KRÓL P., LASKOWSKA J., LIP SUSZYCKI A., TARASEK W., ZAJBERT A Monograph of KGHM, (ed. A. Piestrzyński et a of the ore minerals in the deposits have been titative and qualitative diversification have not embankment are characteristic of the average
55%, of zinc from 0,2-0,24% and lead from al.
2007). ned sediments allows classifying them as the e grain composition, along with the pieces of te clasts as well as illite and kaolinite of the inerals (in the amount in averages 2% wt) are rocks with the sulphide intergrowths and by als of copper, sulphur and iron Pb, Co, and Ni orides group were indentified by microbrobe ograph of KGHM, Polish Copper SA, CBPM ZIELNICA K. SUCHAN J. 2007
- Surface of Żelazny Most tailing dam. Banaszak A. & n. Lubin. 374-382 (in Polish) ling of the transport of contaminants from the Gosp. Sur. Miner., 19, 69-88. Wyd. IGSMiE materials and their importance in the domestic Gosp. Sur. Miner., 19, 15-27. Wyd. IGSMiE
J., LIPIŃSKI M., MITTEK M., MAŚLAK A., RT A., 1996 -Żelazny Most tailing dam. In: ki et al.), CBPM Cuprum, Lubin (in Polish). A FORECASTING SYSTEM OF RESE ARTIFICIAL NEURAL NETWORK INFORMATION -EXEMPLIFIED BY RES
FEILD, FAR Ph.D. St. Sarkheil1 Assoc. Prof. Dr. H. Hassani 1 Assoc. Prof. Dr. F. Alinya1 Mr. A.A.Enayati2 Dr. H. Motamedi3
1 Amirkabir University of Technology -Iran
2 Iranian central oil fields company, Tehran, Iran
3 Oil exploration management company, Tehran, Ir
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
