The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea
Само за регистроване кориснике
2016
Аутори
Tanaskovski, BojanJović, Mihajlo D.
Miličić, Ljiljana
Pezo, Lato
Mandić, Milica
Stanković, Slavka
Чланак у часопису (Објављена верзија)
,
© 2016, Springer-Verlag Berlin Heidelberg
Метаподаци
Приказ свих података о документуАпстракт
The spatial distribution of major oxides (Na2O, K2O, SiO2, Al2O3, Fe2O3, CaO, MgO, MnO, TiO2, P2O5) and numerous elements (Cr, Co, Ni, Cu, Zn, As, Se, Pb, Sn, Sb, Ba, Sr, Br, Rb, Zr, Mo, Cs, Y, V, Ga, La, U, Th, Nb, W, Sc, Ge, Gd, Yb, Hf, and Ce) was determined by using energy dispersive X-ray fluorescence spectrometry on the basis of previously measured organic matter and carbonates. The optimal measuring variables for the investigated oxides and elements were determined by using five standard reference materials. The carbonated sediment type can be determined on the basis of the highest Sr, Sc, La, Nb, Hf, and Yb concentrations followed with the lowest concentrations of the remaining elements and the negative Ce anomaly. The complexity of the obtained data was also examined by principal component analysis (PCA) and cluster analysis (CA) in the identifying geochemical composition of the surface sediment. Boka Kotorska bays geographical position, orographical configuration, and hydrogr...aphic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.
Кључне речи:
Surface sediment / Oxides / Minor and trace elements / ED-XRF analysis / Boka Kotorska bayИзвор:
Environmental Science and Pollution Research, 2016, 23, 12, 11777-11789Финансирање / пројекти:
- Нове технологије за мониторинг и заштиту животног окружења од штетних хемијских супстанци и радијационог оптерећења (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43009)
DOI: 10.1007/s11356-016-6353-6
ISSN: 0944-1344
PubMed: 26948969
WoS: 000377476700033
Scopus: 2-s2.0-84960122690
Колекције
Институција/група
VinčaTY - JOUR AU - Tanaskovski, Bojan AU - Jović, Mihajlo D. AU - Miličić, Ljiljana AU - Pezo, Lato AU - Mandić, Milica AU - Stanković, Slavka PY - 2016 UR - https://vinar.vin.bg.ac.rs/handle/123456789/1111 AB - The spatial distribution of major oxides (Na2O, K2O, SiO2, Al2O3, Fe2O3, CaO, MgO, MnO, TiO2, P2O5) and numerous elements (Cr, Co, Ni, Cu, Zn, As, Se, Pb, Sn, Sb, Ba, Sr, Br, Rb, Zr, Mo, Cs, Y, V, Ga, La, U, Th, Nb, W, Sc, Ge, Gd, Yb, Hf, and Ce) was determined by using energy dispersive X-ray fluorescence spectrometry on the basis of previously measured organic matter and carbonates. The optimal measuring variables for the investigated oxides and elements were determined by using five standard reference materials. The carbonated sediment type can be determined on the basis of the highest Sr, Sc, La, Nb, Hf, and Yb concentrations followed with the lowest concentrations of the remaining elements and the negative Ce anomaly. The complexity of the obtained data was also examined by principal component analysis (PCA) and cluster analysis (CA) in the identifying geochemical composition of the surface sediment. Boka Kotorska bays geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea. T2 - Environmental Science and Pollution Research T1 - The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea VL - 23 IS - 12 SP - 11777 EP - 11789 DO - 10.1007/s11356-016-6353-6 ER -
@article{ author = "Tanaskovski, Bojan and Jović, Mihajlo D. and Miličić, Ljiljana and Pezo, Lato and Mandić, Milica and Stanković, Slavka", year = "2016", abstract = "The spatial distribution of major oxides (Na2O, K2O, SiO2, Al2O3, Fe2O3, CaO, MgO, MnO, TiO2, P2O5) and numerous elements (Cr, Co, Ni, Cu, Zn, As, Se, Pb, Sn, Sb, Ba, Sr, Br, Rb, Zr, Mo, Cs, Y, V, Ga, La, U, Th, Nb, W, Sc, Ge, Gd, Yb, Hf, and Ce) was determined by using energy dispersive X-ray fluorescence spectrometry on the basis of previously measured organic matter and carbonates. The optimal measuring variables for the investigated oxides and elements were determined by using five standard reference materials. The carbonated sediment type can be determined on the basis of the highest Sr, Sc, La, Nb, Hf, and Yb concentrations followed with the lowest concentrations of the remaining elements and the negative Ce anomaly. The complexity of the obtained data was also examined by principal component analysis (PCA) and cluster analysis (CA) in the identifying geochemical composition of the surface sediment. Boka Kotorska bays geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.", journal = "Environmental Science and Pollution Research", title = "The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea", volume = "23", number = "12", pages = "11777-11789", doi = "10.1007/s11356-016-6353-6" }
Tanaskovski, B., Jović, M. D., Miličić, L., Pezo, L., Mandić, M.,& Stanković, S.. (2016). The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea. in Environmental Science and Pollution Research, 23(12), 11777-11789. https://doi.org/10.1007/s11356-016-6353-6
Tanaskovski B, Jović MD, Miličić L, Pezo L, Mandić M, Stanković S. The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea. in Environmental Science and Pollution Research. 2016;23(12):11777-11789. doi:10.1007/s11356-016-6353-6 .
Tanaskovski, Bojan, Jović, Mihajlo D., Miličić, Ljiljana, Pezo, Lato, Mandić, Milica, Stanković, Slavka, "The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea" in Environmental Science and Pollution Research, 23, no. 12 (2016):11777-11789, https://doi.org/10.1007/s11356-016-6353-6 . .