Tanaskovski, Bojan

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  • Tanaskovski, Bojan (4)
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Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine

Radomirović, Milena; Tanaskovski, Bojan; Mijatović, Nevenka; Vasić, Milica; Cantaluppi, Chiara; Pezo, Lato; Stanković, Slavka

(2023)

TY  - CONF
AU  - Radomirović, Milena
AU  - Tanaskovski, Bojan
AU  - Mijatović, Nevenka
AU  - Vasić, Milica
AU  - Cantaluppi, Chiara
AU  - Pezo, Lato
AU  - Stanković, Slavka
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/732
AB  - Pet kompleksnih indeksa (PLI, RI, mERMq, TRI, CSI) određeno je za svaku od 40 lokacija tokom perioda istraživanja (2005, 2007, 2013, 2019) uzimajući u obzir osam teških metala. Primenom klasterske analize (CA) i analize glavnih komponenti (PCA) na vrednosti indeksa zagađenja, izvršeno je prostorno i vremensko poređenje kvaliteta sedimenta. Rezultati statističke analize pokazali su povišen stepen kontaminacije sedimenta u 2005. godini u Kotorskom i Tivatskom zalivu, dok je u 2007., 2013., i 2019. godini bio u Tivatskom zalivu. PCA, CA i indeksi zagađenja ukazali su na povećanje nivoa zagađenja sedimenta u Tivatskom zalivu u periodu od 2005. do 2019.
C3  - 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings
T1  - Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine
EP  - 246
SP  - 237
UR  - https://hdl.handle.net/21.15107/rcub_rims_732
ER  - 
@conference{
author = "Radomirović, Milena and Tanaskovski, Bojan and Mijatović, Nevenka and Vasić, Milica and Cantaluppi, Chiara and Pezo, Lato and Stanković, Slavka",
year = "2023",
abstract = "Pet kompleksnih indeksa (PLI, RI, mERMq, TRI, CSI) određeno je za svaku od 40 lokacija tokom perioda istraživanja (2005, 2007, 2013, 2019) uzimajući u obzir osam teških metala. Primenom klasterske analize (CA) i analize glavnih komponenti (PCA) na vrednosti indeksa zagađenja, izvršeno je prostorno i vremensko poređenje kvaliteta sedimenta. Rezultati statističke analize pokazali su povišen stepen kontaminacije sedimenta u 2005. godini u Kotorskom i Tivatskom zalivu, dok je u 2007., 2013., i 2019. godini bio u Tivatskom zalivu. PCA, CA i indeksi zagađenja ukazali su na povećanje nivoa zagađenja sedimenta u Tivatskom zalivu u periodu od 2005. do 2019.",
journal = "52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings",
title = "Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine",
pages = "246-237",
url = "https://hdl.handle.net/21.15107/rcub_rims_732"
}
Radomirović, M., Tanaskovski, B., Mijatović, N., Vasić, M., Cantaluppi, C., Pezo, L.,& Stanković, S.. (2023). Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine. in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings, 237-246.
https://hdl.handle.net/21.15107/rcub_rims_732
Radomirović M, Tanaskovski B, Mijatović N, Vasić M, Cantaluppi C, Pezo L, Stanković S. Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine. in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings. 2023;:237-246.
https://hdl.handle.net/21.15107/rcub_rims_732 .
Radomirović, Milena, Tanaskovski, Bojan, Mijatović, Nevenka, Vasić, Milica, Cantaluppi, Chiara, Pezo, Lato, Stanković, Slavka, "Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine" in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings (2023):237-246,
https://hdl.handle.net/21.15107/rcub_rims_732 .

The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro

Radomirović, Milena; Mijatović, Nevenka; Vasić, Milica; Tanaskovski, Bojan; Mandić, Milica; Pezo, Lato; Onjia, Antonije

(Springer Heidelberg, Heidelberg, 2021)

TY  - JOUR
AU  - Radomirović, Milena
AU  - Mijatović, Nevenka
AU  - Vasić, Milica
AU  - Tanaskovski, Bojan
AU  - Mandić, Milica
AU  - Pezo, Lato
AU  - Onjia, Antonije
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/396
AB  - Surface sediments collected from twelve stations in the Boka Kotorska Bay were analyzed for the level and distribution of twenty-six elements and ten oxides, grain sizes, organic matter, and carbonate content. Potentially toxic elements (Al, Fe, Mn, Cr, Zn, Ni, Cu, Pb, As, Co, U) were determined to assess the contamination status and potential environmental risk according to the single-element indices (enrichment factor (EF), geoaccumulation index (Igeo), contamination factor (CF)), and combined index (pollution load index (PLI)). The single-element indices EF and CF revealed that the surface marine sediment was moderately polluted with Pb, Cu, and Cr, while Igeo indicated moderate pollution with Ni > Cr > Zn > Cu > As and moderate to heavy pollution with Pb, as a result of the anthropogenic factors. The method of the combined effect of toxic elements, PLI, showed the highest pollution rate at the shipyard location in the Bay of Tivat. Pearson's correlation coefficient (r), principal component analysis (PCA), and cluster analysis (CA) were applied to highlight similarities and differences in the distribution of the investigated elements in the Bay, confirming the claim obtained by the pollution indices. The sediment contamination with most heavy metals, such as Cr, Zn, Ni, Cu, Pb, and As, has been identified in the Tivat Bay area.
PB  - Springer Heidelberg, Heidelberg
T2  - Environmental Science and Pollution Research
T1  - The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro
EP  - 53652
IS  - 38
SP  - 53629
VL  - 28
DO  - 10.1007/s11356-021-14382-8
ER  - 
@article{
author = "Radomirović, Milena and Mijatović, Nevenka and Vasić, Milica and Tanaskovski, Bojan and Mandić, Milica and Pezo, Lato and Onjia, Antonije",
year = "2021",
abstract = "Surface sediments collected from twelve stations in the Boka Kotorska Bay were analyzed for the level and distribution of twenty-six elements and ten oxides, grain sizes, organic matter, and carbonate content. Potentially toxic elements (Al, Fe, Mn, Cr, Zn, Ni, Cu, Pb, As, Co, U) were determined to assess the contamination status and potential environmental risk according to the single-element indices (enrichment factor (EF), geoaccumulation index (Igeo), contamination factor (CF)), and combined index (pollution load index (PLI)). The single-element indices EF and CF revealed that the surface marine sediment was moderately polluted with Pb, Cu, and Cr, while Igeo indicated moderate pollution with Ni > Cr > Zn > Cu > As and moderate to heavy pollution with Pb, as a result of the anthropogenic factors. The method of the combined effect of toxic elements, PLI, showed the highest pollution rate at the shipyard location in the Bay of Tivat. Pearson's correlation coefficient (r), principal component analysis (PCA), and cluster analysis (CA) were applied to highlight similarities and differences in the distribution of the investigated elements in the Bay, confirming the claim obtained by the pollution indices. The sediment contamination with most heavy metals, such as Cr, Zn, Ni, Cu, Pb, and As, has been identified in the Tivat Bay area.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Environmental Science and Pollution Research",
title = "The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro",
pages = "53652-53629",
number = "38",
volume = "28",
doi = "10.1007/s11356-021-14382-8"
}
Radomirović, M., Mijatović, N., Vasić, M., Tanaskovski, B., Mandić, M., Pezo, L.,& Onjia, A.. (2021). The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro. in Environmental Science and Pollution Research
Springer Heidelberg, Heidelberg., 28(38), 53629-53652.
https://doi.org/10.1007/s11356-021-14382-8
Radomirović M, Mijatović N, Vasić M, Tanaskovski B, Mandić M, Pezo L, Onjia A. The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro. in Environmental Science and Pollution Research. 2021;28(38):53629-53652.
doi:10.1007/s11356-021-14382-8 .
Radomirović, Milena, Mijatović, Nevenka, Vasić, Milica, Tanaskovski, Bojan, Mandić, Milica, Pezo, Lato, Onjia, Antonije, "The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro" in Environmental Science and Pollution Research, 28, no. 38 (2021):53629-53652,
https://doi.org/10.1007/s11356-021-14382-8 . .
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The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea

Tanaskovski, Bojan; Jović, Mihajlo; Miličić, Ljiljana; Pezo, Lato; Mandić, Milica; Stanković, Slavka

(Springer Heidelberg, Heidelberg, 2016)

TY  - JOUR
AU  - Tanaskovski, Bojan
AU  - Jović, Mihajlo
AU  - Miličić, Ljiljana
AU  - Pezo, Lato
AU  - Mandić, Milica
AU  - Stanković, Slavka
PY  - 2016
UR  - http://rims.institutims.rs/handle/123456789/293
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 bay's geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.
PB  - Springer Heidelberg, Heidelberg
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
EP  - 11789
IS  - 12
SP  - 11777
VL  - 23
DO  - 10.1007/s11356-016-6353-6
ER  - 
@article{
author = "Tanaskovski, Bojan and Jović, Mihajlo 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 bay's geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.",
publisher = "Springer Heidelberg, Heidelberg",
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",
pages = "11789-11777",
number = "12",
volume = "23",
doi = "10.1007/s11356-016-6353-6"
}
Tanaskovski, B., Jović, M., 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
Springer Heidelberg, Heidelberg., 23(12), 11777-11789.
https://doi.org/10.1007/s11356-016-6353-6
Tanaskovski B, Jović M, 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, 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 . .
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Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach

Stanković, Slavka; Tanaskovski, Bojan; Zlatić, Bozidarka; Arsenović, Milica; Pezo, Lato

(Walter De Gruyter Gmbh, Berlin, 2014)

TY  - JOUR
AU  - Stanković, Slavka
AU  - Tanaskovski, Bojan
AU  - Zlatić, Bozidarka
AU  - Arsenović, Milica
AU  - Pezo, Lato
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/235
AB  - Surface sediments, mussels, seagrass, surface and bottom seawater samples were collected from the costal area of the southeastern Adriatic Sea and analyzed in order to determine the concentration and origin of the following elements: Fe, Mn, Zn, Ni, Cu, Ni, Co, As, Cd, Cr and Hg. The complexity of the obtained data was reduced by principal component analysis (PCA) and cluster analysis (CA), methods well known and accepted for the identification of the quality of marine environments. Both PCA and CA analysis were used to discriminate groups of samples according to the similarity of their chemical composition. The results revealed good diversity between the various samples, expressed by their distinctive positions of points in factor space. PCA indicated that the first two PC components explained about 73, 48, 43, 48, and 50 % of the total variance of the data for sediments, mussels, seagrass, and surface and bottom water, respectively. The results showed good discrimination capabilities between the samples taken from different locations, and also different seasons, which was especially evident in the surface and bottom water samples. Simultaneously, PCA/CA analysis of the amounts of trace elements found in the marine organisms could explain the manner of their bioaccumulation.
PB  - Walter De Gruyter Gmbh, Berlin
T2  - Pure and Applied Chemistry
T1  - Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach
EP  - 1127
IS  - 7
SP  - 1111
VL  - 86
DO  - 10.1515/pac-2014-0201
ER  - 
@article{
author = "Stanković, Slavka and Tanaskovski, Bojan and Zlatić, Bozidarka and Arsenović, Milica and Pezo, Lato",
year = "2014",
abstract = "Surface sediments, mussels, seagrass, surface and bottom seawater samples were collected from the costal area of the southeastern Adriatic Sea and analyzed in order to determine the concentration and origin of the following elements: Fe, Mn, Zn, Ni, Cu, Ni, Co, As, Cd, Cr and Hg. The complexity of the obtained data was reduced by principal component analysis (PCA) and cluster analysis (CA), methods well known and accepted for the identification of the quality of marine environments. Both PCA and CA analysis were used to discriminate groups of samples according to the similarity of their chemical composition. The results revealed good diversity between the various samples, expressed by their distinctive positions of points in factor space. PCA indicated that the first two PC components explained about 73, 48, 43, 48, and 50 % of the total variance of the data for sediments, mussels, seagrass, and surface and bottom water, respectively. The results showed good discrimination capabilities between the samples taken from different locations, and also different seasons, which was especially evident in the surface and bottom water samples. Simultaneously, PCA/CA analysis of the amounts of trace elements found in the marine organisms could explain the manner of their bioaccumulation.",
publisher = "Walter De Gruyter Gmbh, Berlin",
journal = "Pure and Applied Chemistry",
title = "Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach",
pages = "1127-1111",
number = "7",
volume = "86",
doi = "10.1515/pac-2014-0201"
}
Stanković, S., Tanaskovski, B., Zlatić, B., Arsenović, M.,& Pezo, L.. (2014). Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach. in Pure and Applied Chemistry
Walter De Gruyter Gmbh, Berlin., 86(7), 1111-1127.
https://doi.org/10.1515/pac-2014-0201
Stanković S, Tanaskovski B, Zlatić B, Arsenović M, Pezo L. Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach. in Pure and Applied Chemistry. 2014;86(7):1111-1127.
doi:10.1515/pac-2014-0201 .
Stanković, Slavka, Tanaskovski, Bojan, Zlatić, Bozidarka, Arsenović, Milica, Pezo, Lato, "Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach" in Pure and Applied Chemistry, 86, no. 7 (2014):1111-1127,
https://doi.org/10.1515/pac-2014-0201 . .
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