Dragović, Snežana

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orcid::0000-0003-0566-0182
  • Dragović, Snežana (15)
  • Dragović, Snežana D. (13)
Projects

Author's Bibliography

Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant

Dragović, Snežana; Smičiklas, Ivana; Jović, Mihajlo; Čupić, Aleksandar; Dragović, Ranko; Gajić, Boško; Onjia, Antonije

(Elsevier Ltd, 2023)

TY  - JOUR
AU  - Dragović, Snežana
AU  - Smičiklas, Ivana
AU  - Jović, Mihajlo
AU  - Čupić, Aleksandar
AU  - Dragović, Ranko
AU  - Gajić, Boško
AU  - Onjia, Antonije
PY  - 2023
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6419
AB  - Despite presenting a practical approach for the characterization of the environmental risk of potentially toxic elements (PTEs) derived from steel production facilities, the analysis of the spatial distribution of bioavailable PTEs concentrations in the soil is frequently overlooked in the management of polluted sites. In this study, the diethylenetriaminepentaacetic acid (DTPA)-extractable forms of PTEs were investigated in soils surrounding the largest Serbian steel production plant. The correlation and geostatistical analysis indicated their pronounced variability suggesting the anthropogenic origin of most investigated elements, apparently from the steel production facility. The detailed visualization of variables and observations derived by self-organizing maps (SOMs) revealed the homologies in PTEs’ distribution patterns, implying the common origin of some elements. These observations were confirmed by principal component analysis (PCA) and positive matrix factorization (PMF). The аpplied approach supports a comprehensive assessment of contaminated sites' ecological and health risks and provides a basis for soil remediation.
PB  - Elsevier Ltd
T2  - Heliyon
T1  - Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant
IS  - 5
SP  - e16307
VL  - 9
DO  - 10.1016/j.heliyon.2023.e16307
ER  - 
@article{
author = "Dragović, Snežana and Smičiklas, Ivana and Jović, Mihajlo and Čupić, Aleksandar and Dragović, Ranko and Gajić, Boško and Onjia, Antonije",
year = "2023",
abstract = "Despite presenting a practical approach for the characterization of the environmental risk of potentially toxic elements (PTEs) derived from steel production facilities, the analysis of the spatial distribution of bioavailable PTEs concentrations in the soil is frequently overlooked in the management of polluted sites. In this study, the diethylenetriaminepentaacetic acid (DTPA)-extractable forms of PTEs were investigated in soils surrounding the largest Serbian steel production plant. The correlation and geostatistical analysis indicated their pronounced variability suggesting the anthropogenic origin of most investigated elements, apparently from the steel production facility. The detailed visualization of variables and observations derived by self-organizing maps (SOMs) revealed the homologies in PTEs’ distribution patterns, implying the common origin of some elements. These observations were confirmed by principal component analysis (PCA) and positive matrix factorization (PMF). The аpplied approach supports a comprehensive assessment of contaminated sites' ecological and health risks and provides a basis for soil remediation.",
publisher = "Elsevier Ltd",
journal = "Heliyon",
title = "Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant",
number = "5",
pages = "e16307",
volume = "9",
doi = "10.1016/j.heliyon.2023.e16307"
}
Dragović, S., Smičiklas, I., Jović, M., Čupić, A., Dragović, R., Gajić, B.,& Onjia, A.. (2023). Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant. in Heliyon
Elsevier Ltd., 9(5), e16307.
https://doi.org/10.1016/j.heliyon.2023.e16307
Dragović S, Smičiklas I, Jović M, Čupić A, Dragović R, Gajić B, Onjia A. Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant. in Heliyon. 2023;9(5):e16307.
doi:10.1016/j.heliyon.2023.e16307 .
Dragović, Snežana, Smičiklas, Ivana, Jović, Mihajlo, Čupić, Aleksandar, Dragović, Ranko, Gajić, Boško, Onjia, Antonije, "Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant" in Heliyon, 9, no. 5 (2023):e16307,
https://doi.org/10.1016/j.heliyon.2023.e16307 . .
2
1

Prirodni radionuklidi u građevinskom materijalu u Srbiji

Janković-Mandić, Ljiljana; Dragović, Snežana D.; Ćujić, Mirjana; Petrović, Jelena; Onjia, Antonije

(Beograd : Institut za nuklearne nauke Vinča, 2019)

TY  - CONF
AU  - Janković-Mandić, Ljiljana
AU  - Dragović, Snežana D.
AU  - Ćujić, Mirjana
AU  - Petrović, Jelena
AU  - Onjia, Antonije
PY  - 2019
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4181
AB  - Određivanje sadržaja radionuklida u materijalima koji se koriste u građevinarstvu veoma je važno u cilju procene radiološkog uticaja na zdravlje ljudi. U radu su prikazani rezultati gamaspektrometrijskog merenja prirodnih radionuklida u 94 uzorka građevinskog materijala (drvo, pesak, šljunak, opeka, mermer, granit, beton, staklo) koji je u upotrebi u Srbiji. Uzorci su analizirani u periodu 2016-2019. godine i opseg izmerenih aktivnosti radionuklida bio je: 226Ra (5-180)Bq/kg, 232Th(8-260)Bq/kg40K, (20-1480)Bq/kg. Za sve materijale određen je gama indeks i rezultati su upoređeni sa relevantnim podacima iz literature i propisa.
AB  - Determination of radionuclides in building materialsis very important in order to assess the  radiological  impact  on  human  health.  The  paper  presents  the  results  of gamma  ray spectrometry measurement of natural radionuclides in 94 samples of building materials (wood, sand, gravel, brick, concrete,marble, granite, glass) collected from the territory of Serbia in the period from 2016 to 2019. The activity concentrations for 226Ra, 232Th and 40K  from  the  building  materials  ranged  from  (5-180)  Bq/kg, (8-260)  Bq/kg, (20-1480) Bq/kg, respectively.For all materials, a gamma index was determined and the results are compared with the relevant literature and regulation data.
PB  - Beograd : Institut za nuklearne nauke Vinča
PB  - Beograd : Društvo za zaštitu od zračenja Srbije i Crne Gore
C3  - Zbornik radova / XXX simpozijum DZZSCG Društva za zaštitu od zračenja Srbije i Crne Gore, 2- 4. oktobar 2019. godine, Divčibare, Srbija
T1  - Prirodni radionuklidi u građevinskom materijalu u Srbiji
T1  - Natural radionuclides in building materials in Serbia
EP  - 167
SP  - 162
UR  - https://hdl.handle.net/21.15107/rcub_vinar_8696
ER  - 
@conference{
author = "Janković-Mandić, Ljiljana and Dragović, Snežana D. and Ćujić, Mirjana and Petrović, Jelena and Onjia, Antonije",
year = "2019",
abstract = "Određivanje sadržaja radionuklida u materijalima koji se koriste u građevinarstvu veoma je važno u cilju procene radiološkog uticaja na zdravlje ljudi. U radu su prikazani rezultati gamaspektrometrijskog merenja prirodnih radionuklida u 94 uzorka građevinskog materijala (drvo, pesak, šljunak, opeka, mermer, granit, beton, staklo) koji je u upotrebi u Srbiji. Uzorci su analizirani u periodu 2016-2019. godine i opseg izmerenih aktivnosti radionuklida bio je: 226Ra (5-180)Bq/kg, 232Th(8-260)Bq/kg40K, (20-1480)Bq/kg. Za sve materijale određen je gama indeks i rezultati su upoređeni sa relevantnim podacima iz literature i propisa., Determination of radionuclides in building materialsis very important in order to assess the  radiological  impact  on  human  health.  The  paper  presents  the  results  of gamma  ray spectrometry measurement of natural radionuclides in 94 samples of building materials (wood, sand, gravel, brick, concrete,marble, granite, glass) collected from the territory of Serbia in the period from 2016 to 2019. The activity concentrations for 226Ra, 232Th and 40K  from  the  building  materials  ranged  from  (5-180)  Bq/kg, (8-260)  Bq/kg, (20-1480) Bq/kg, respectively.For all materials, a gamma index was determined and the results are compared with the relevant literature and regulation data.",
publisher = "Beograd : Institut za nuklearne nauke Vinča, Beograd : Društvo za zaštitu od zračenja Srbije i Crne Gore",
journal = "Zbornik radova / XXX simpozijum DZZSCG Društva za zaštitu od zračenja Srbije i Crne Gore, 2- 4. oktobar 2019. godine, Divčibare, Srbija",
title = "Prirodni radionuklidi u građevinskom materijalu u Srbiji, Natural radionuclides in building materials in Serbia",
pages = "167-162",
url = "https://hdl.handle.net/21.15107/rcub_vinar_8696"
}
Janković-Mandić, L., Dragović, S. D., Ćujić, M., Petrović, J.,& Onjia, A.. (2019). Prirodni radionuklidi u građevinskom materijalu u Srbiji. in Zbornik radova / XXX simpozijum DZZSCG Društva za zaštitu od zračenja Srbije i Crne Gore, 2- 4. oktobar 2019. godine, Divčibare, Srbija
Beograd : Institut za nuklearne nauke Vinča., 162-167.
https://hdl.handle.net/21.15107/rcub_vinar_8696
Janković-Mandić L, Dragović SD, Ćujić M, Petrović J, Onjia A. Prirodni radionuklidi u građevinskom materijalu u Srbiji. in Zbornik radova / XXX simpozijum DZZSCG Društva za zaštitu od zračenja Srbije i Crne Gore, 2- 4. oktobar 2019. godine, Divčibare, Srbija. 2019;:162-167.
https://hdl.handle.net/21.15107/rcub_vinar_8696 .
Janković-Mandić, Ljiljana, Dragović, Snežana D., Ćujić, Mirjana, Petrović, Jelena, Onjia, Antonije, "Prirodni radionuklidi u građevinskom materijalu u Srbiji" in Zbornik radova / XXX simpozijum DZZSCG Društva za zaštitu od zračenja Srbije i Crne Gore, 2- 4. oktobar 2019. godine, Divčibare, Srbija (2019):162-167,
https://hdl.handle.net/21.15107/rcub_vinar_8696 .

Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia

Tanić, Milan; Janković Mandić, Ljiljana; Ćujić, Mirjana; Onjia, Antonije; Dinić, Denis; Dragović, Snežana

(Naučno-stručno društvo za zaštitu životne sredine Srbije, ECOLOGICA, 2018)

TY  - JOUR
AU  - Tanić, Milan
AU  - Janković Mandić, Ljiljana
AU  - Ćujić, Mirjana
AU  - Onjia, Antonije
AU  - Dinić, Denis
AU  - Dragović, Snežana
PY  - 2018
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7110
AB  - The study was aimed at assessing the human health risk potentially induced by the presence of natural
radionuclides and their decay chain daughters in the soil of the area impacted by coal combustion in the
largest Serbian coal-based thermoelectric power plant “Nikola Tesla A”. The total intakes of 40K, 226Ra
and 232Th for residents in the study area through ingestion and inhalation of soil particles, ingestion of
fruits and vegetables, as well as external irradiation, were evaluated, and the derived carcinogenic risk
was characterized applying methodology of the US EPA based on minimal, median and maximal values
of specific activities of mentioned radionuclides in soil measured by gamma-ray spectroscopy. The total
excess lifetime cancer risk was in the range (1.70–3.91) × 10-4, which is higher than the established
target value of 10-4. Ingestion of homegrown produce was identified as an exposure route of the most
concern, followed by external irradiation originating from radionuclides investigated. The risk posed by
inhalation of soil particles found to be negligible, while direct ingestion of soil resulted with total risk
slightly above the US EPA screening level of 10-6. The results of the study will contribute to a better
understanding of the radiation hazard coming from natural radioactivity in the Serbian region that is
most affected by operation of coal-fired thermoelectric power plant.
AB  - Cilj istraživanja je procena rizika po zdravlje ljudi usled prisustva prirodnih radionuklida i njihovih
potomaka u zemljištu na prostoru koji je pod uticajem sagorevanja uglja u najvećoj termoelektrani u
Srbiji „Nikola Tesla A“. Procenjeni su ukupni unosi 40K, 226Ra i 232Th za stanovnike istraživanog prostora
usled ingestije i inhalacije zemljišta, ingestije voća i povrća gajenog na istraživanom prostoru i spoljnjeg
izlaganja jonizujućim zračenjima. Procena rizika od kancerogeneze tokom životnog veka je izvršena
koristeći metodologiju Agencije za zaštitu životne sredine SAD (US EPA), polazeći od minimalnih,
maksimalnih i vrednosti medijane za specifične aktivnosti analiziranih radionuklida čije su specifične
aktivnosti određene spektrometrijom gama zračenja. Ukupni rizik od kancerogeneze tokom životnog
veka je bio u opsegu (1.70–3.91) × 10-4 što premašuje gornju graničnu vrednosti rizika od 10-4 prema
US EPA. Ingestija voća i povrća gajenih na istraživanom prostoru je identifikovana kao put izlaganja sa
najvećim rizikom, a sledi ga spoljašnje ozračivanje od stane analiziranih radionuklida. Rizik izazvan
inhalacijom zemljišnih čestica je bio zanemarljiv, dok je procenjeni rizik usled direktne ingestije zemljišta
iznosio nešto više od 10-6, što je donja granica tolerantnog rizika prema US EPA. Rezultati istraživanja
doprinose boljem razumevanju radiološkog rizika koji potiče od prirodne radioaktivnosti u regionu Srbije
koji je najugroženiji radom termoelektrana na ugalj.
PB  - Naučno-stručno društvo za zaštitu životne sredine Srbije, ECOLOGICA
T2  - Ecologica
T1  - Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia
T1  - Procena rizika po zdravlje ljudi poreklom od prirodnih radionuklida u zemljištu usled sagorevanjem uglja u okolini najveće termoelektrane u Srbiji
EP  - 11
IS  - 89
SP  - 5
VL  - 25
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7110
ER  - 
@article{
author = "Tanić, Milan and Janković Mandić, Ljiljana and Ćujić, Mirjana and Onjia, Antonije and Dinić, Denis and Dragović, Snežana",
year = "2018",
abstract = "The study was aimed at assessing the human health risk potentially induced by the presence of natural
radionuclides and their decay chain daughters in the soil of the area impacted by coal combustion in the
largest Serbian coal-based thermoelectric power plant “Nikola Tesla A”. The total intakes of 40K, 226Ra
and 232Th for residents in the study area through ingestion and inhalation of soil particles, ingestion of
fruits and vegetables, as well as external irradiation, were evaluated, and the derived carcinogenic risk
was characterized applying methodology of the US EPA based on minimal, median and maximal values
of specific activities of mentioned radionuclides in soil measured by gamma-ray spectroscopy. The total
excess lifetime cancer risk was in the range (1.70–3.91) × 10-4, which is higher than the established
target value of 10-4. Ingestion of homegrown produce was identified as an exposure route of the most
concern, followed by external irradiation originating from radionuclides investigated. The risk posed by
inhalation of soil particles found to be negligible, while direct ingestion of soil resulted with total risk
slightly above the US EPA screening level of 10-6. The results of the study will contribute to a better
understanding of the radiation hazard coming from natural radioactivity in the Serbian region that is
most affected by operation of coal-fired thermoelectric power plant., Cilj istraživanja je procena rizika po zdravlje ljudi usled prisustva prirodnih radionuklida i njihovih
potomaka u zemljištu na prostoru koji je pod uticajem sagorevanja uglja u najvećoj termoelektrani u
Srbiji „Nikola Tesla A“. Procenjeni su ukupni unosi 40K, 226Ra i 232Th za stanovnike istraživanog prostora
usled ingestije i inhalacije zemljišta, ingestije voća i povrća gajenog na istraživanom prostoru i spoljnjeg
izlaganja jonizujućim zračenjima. Procena rizika od kancerogeneze tokom životnog veka je izvršena
koristeći metodologiju Agencije za zaštitu životne sredine SAD (US EPA), polazeći od minimalnih,
maksimalnih i vrednosti medijane za specifične aktivnosti analiziranih radionuklida čije su specifične
aktivnosti određene spektrometrijom gama zračenja. Ukupni rizik od kancerogeneze tokom životnog
veka je bio u opsegu (1.70–3.91) × 10-4 što premašuje gornju graničnu vrednosti rizika od 10-4 prema
US EPA. Ingestija voća i povrća gajenih na istraživanom prostoru je identifikovana kao put izlaganja sa
najvećim rizikom, a sledi ga spoljašnje ozračivanje od stane analiziranih radionuklida. Rizik izazvan
inhalacijom zemljišnih čestica je bio zanemarljiv, dok je procenjeni rizik usled direktne ingestije zemljišta
iznosio nešto više od 10-6, što je donja granica tolerantnog rizika prema US EPA. Rezultati istraživanja
doprinose boljem razumevanju radiološkog rizika koji potiče od prirodne radioaktivnosti u regionu Srbije
koji je najugroženiji radom termoelektrana na ugalj.",
publisher = "Naučno-stručno društvo za zaštitu životne sredine Srbije, ECOLOGICA",
journal = "Ecologica",
title = "Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia, Procena rizika po zdravlje ljudi poreklom od prirodnih radionuklida u zemljištu usled sagorevanjem uglja u okolini najveće termoelektrane u Srbiji",
pages = "11-5",
number = "89",
volume = "25",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7110"
}
Tanić, M., Janković Mandić, L., Ćujić, M., Onjia, A., Dinić, D.,& Dragović, S.. (2018). Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia. in Ecologica
Naučno-stručno društvo za zaštitu životne sredine Srbije, ECOLOGICA., 25(89), 5-11.
https://hdl.handle.net/21.15107/rcub_technorep_7110
Tanić M, Janković Mandić L, Ćujić M, Onjia A, Dinić D, Dragović S. Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia. in Ecologica. 2018;25(89):5-11.
https://hdl.handle.net/21.15107/rcub_technorep_7110 .
Tanić, Milan, Janković Mandić, Ljiljana, Ćujić, Mirjana, Onjia, Antonije, Dinić, Denis, Dragović, Snežana, "Human health risk assessment due to natural radionuclides in soil affected by coal combustion: A case study from the surroundings of the largest thermoelectric power plant in Serbia" in Ecologica, 25, no. 89 (2018):5-11,
https://hdl.handle.net/21.15107/rcub_technorep_7110 .

Support vector machines for classification of soils according to geographic origin based on their radionuclide content

Dragović, Snežana; Kovačević, Miloš; Bajat, Branislav; Onjia, Antonije

(Department of Geography, Faculty of Sciences, University of Niš, 2018)

TY  - JOUR
AU  - Dragović, Snežana
AU  - Kovačević, Miloš
AU  - Bajat, Branislav
AU  - Onjia, Antonije
PY  - 2018
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7109
AB  - The paper introduces support vector machines
(SVM), a recent method in statistical learning theory, used to recognize
and classify soils according to their geographic origin. The classification
was performed based on activities of seven radionuclides determined by
gamma-ray spectrometry. The radionuclides of uranium and thorium
series (226Ra, 232Th, 235U, 238U) and 40K were used to differentiate
investigated areas based on geology, while cosmogenic beryllium (
7
Be)
and anthropogenic 137Cs were used to differentiate areas according to
their susceptibility to fallout. The performances of the proposed method
was compared to those of principal component analysis (PCA), linear
discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural
networks (ANN) applied to the same dataset.
PB  - Department of Geography, Faculty of Sciences, University of Niš
T2  - Serbian Journal of Geosciences
T1  - Support vector machines for classification of soils according to geographic origin based on their radionuclide content
EP  - 26
IS  - 1
SP  - 15
VL  - 4
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7109
ER  - 
@article{
author = "Dragović, Snežana and Kovačević, Miloš and Bajat, Branislav and Onjia, Antonije",
year = "2018",
abstract = "The paper introduces support vector machines
(SVM), a recent method in statistical learning theory, used to recognize
and classify soils according to their geographic origin. The classification
was performed based on activities of seven radionuclides determined by
gamma-ray spectrometry. The radionuclides of uranium and thorium
series (226Ra, 232Th, 235U, 238U) and 40K were used to differentiate
investigated areas based on geology, while cosmogenic beryllium (
7
Be)
and anthropogenic 137Cs were used to differentiate areas according to
their susceptibility to fallout. The performances of the proposed method
was compared to those of principal component analysis (PCA), linear
discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural
networks (ANN) applied to the same dataset.",
publisher = "Department of Geography, Faculty of Sciences, University of Niš",
journal = "Serbian Journal of Geosciences",
title = "Support vector machines for classification of soils according to geographic origin based on their radionuclide content",
pages = "26-15",
number = "1",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7109"
}
Dragović, S., Kovačević, M., Bajat, B.,& Onjia, A.. (2018). Support vector machines for classification of soils according to geographic origin based on their radionuclide content. in Serbian Journal of Geosciences
Department of Geography, Faculty of Sciences, University of Niš., 4(1), 15-26.
https://hdl.handle.net/21.15107/rcub_technorep_7109
Dragović S, Kovačević M, Bajat B, Onjia A. Support vector machines for classification of soils according to geographic origin based on their radionuclide content. in Serbian Journal of Geosciences. 2018;4(1):15-26.
https://hdl.handle.net/21.15107/rcub_technorep_7109 .
Dragović, Snežana, Kovačević, Miloš, Bajat, Branislav, Onjia, Antonije, "Support vector machines for classification of soils according to geographic origin based on their radionuclide content" in Serbian Journal of Geosciences, 4, no. 1 (2018):15-26,
https://hdl.handle.net/21.15107/rcub_technorep_7109 .

Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation

Janković-Mandić, Ljiljana; Đolić, Maja; Marković, Dragana; Todorović, Dragana; Onjia, Antonije; Dragović, Snežana D.

(Oxford Univ Press, Oxford, 2016)

TY  - JOUR
AU  - Janković-Mandić, Ljiljana
AU  - Đolić, Maja
AU  - Marković, Dragana
AU  - Todorović, Dragana
AU  - Onjia, Antonije
AU  - Dragović, Snežana D.
PY  - 2016
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3381
AB  - The activity concentrations of natural radionuclides (K-40, Pb-210, Po-210, Ra-226 and Ra-228) in 17 most frequently used cigarette brands in Serbia and corresponding effective doses due to smoke inhalation are presented. The mean annual effective doses for Pb-210 and Po-210 were estimated to be 47.3 and 724 A mu Sv y(-1) for Pb-210 and Po-210, respectively. Serbia currently has the highest smoking rate in the world. The results of this study indicate the high contribution of the annual effective dose due to smoke inhalation to the total inhalation dose from natural radionuclides. The more effective implementation of actions for reducing smoking prevalence in Serbia is highly needed.
PB  - Oxford Univ Press, Oxford
T2  - Radiation Protection Dosimetry
T1  - Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation
EP  - 115
IS  - 1
SP  - 111
VL  - 168
DO  - 10.1093/rpd/ncv010
ER  - 
@article{
author = "Janković-Mandić, Ljiljana and Đolić, Maja and Marković, Dragana and Todorović, Dragana and Onjia, Antonije and Dragović, Snežana D.",
year = "2016",
abstract = "The activity concentrations of natural radionuclides (K-40, Pb-210, Po-210, Ra-226 and Ra-228) in 17 most frequently used cigarette brands in Serbia and corresponding effective doses due to smoke inhalation are presented. The mean annual effective doses for Pb-210 and Po-210 were estimated to be 47.3 and 724 A mu Sv y(-1) for Pb-210 and Po-210, respectively. Serbia currently has the highest smoking rate in the world. The results of this study indicate the high contribution of the annual effective dose due to smoke inhalation to the total inhalation dose from natural radionuclides. The more effective implementation of actions for reducing smoking prevalence in Serbia is highly needed.",
publisher = "Oxford Univ Press, Oxford",
journal = "Radiation Protection Dosimetry",
title = "Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation",
pages = "115-111",
number = "1",
volume = "168",
doi = "10.1093/rpd/ncv010"
}
Janković-Mandić, L., Đolić, M., Marković, D., Todorović, D., Onjia, A.,& Dragović, S. D.. (2016). Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation. in Radiation Protection Dosimetry
Oxford Univ Press, Oxford., 168(1), 111-115.
https://doi.org/10.1093/rpd/ncv010
Janković-Mandić L, Đolić M, Marković D, Todorović D, Onjia A, Dragović SD. Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation. in Radiation Protection Dosimetry. 2016;168(1):111-115.
doi:10.1093/rpd/ncv010 .
Janković-Mandić, Ljiljana, Đolić, Maja, Marković, Dragana, Todorović, Dragana, Onjia, Antonije, Dragović, Snežana D., "Natural radionuclides in cigarette tobacco from Serbian market and effective dose estimate from smoke inhalation" in Radiation Protection Dosimetry, 168, no. 1 (2016):111-115,
https://doi.org/10.1093/rpd/ncv010 . .
1
9
4
8

Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija

Gajić, Boško; Dragović, Snežana; Dragović, Ranko; Onjia, Antonije; Tapanarova, Angelina; Kresović, Branka

(Beograd : Asocijacija prostornih planera Srbije, 2014)

TY  - CONF
AU  - Gajić, Boško
AU  - Dragović, Snežana
AU  - Dragović, Ranko
AU  - Onjia, Antonije
AU  - Tapanarova, Angelina
AU  - Kresović, Branka
PY  - 2014
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7174
PB  - Beograd : Asocijacija prostornih planera Srbije
PB  - Beograd : Geografski fakultet
C3  - Zbornik radova / Peti naučno-stručni skup sa međunarodnim učešćem Lokalna samouprava u planiranju i uređenju prostora i naselja, Beograd, april 2014
T1  - Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija
EP  - 267
SP  - 261
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7174
ER  - 
@conference{
author = "Gajić, Boško and Dragović, Snežana and Dragović, Ranko and Onjia, Antonije and Tapanarova, Angelina and Kresović, Branka",
year = "2014",
publisher = "Beograd : Asocijacija prostornih planera Srbije, Beograd : Geografski fakultet",
journal = "Zbornik radova / Peti naučno-stručni skup sa međunarodnim učešćem Lokalna samouprava u planiranju i uređenju prostora i naselja, Beograd, april 2014",
title = "Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija",
pages = "267-261",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7174"
}
Gajić, B., Dragović, S., Dragović, R., Onjia, A., Tapanarova, A.,& Kresović, B.. (2014). Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija. in Zbornik radova / Peti naučno-stručni skup sa međunarodnim učešćem Lokalna samouprava u planiranju i uređenju prostora i naselja, Beograd, april 2014
Beograd : Asocijacija prostornih planera Srbije., 261-267.
https://hdl.handle.net/21.15107/rcub_technorep_7174
Gajić B, Dragović S, Dragović R, Onjia A, Tapanarova A, Kresović B. Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija. in Zbornik radova / Peti naučno-stručni skup sa međunarodnim učešćem Lokalna samouprava u planiranju i uređenju prostora i naselja, Beograd, april 2014. 2014;:261-267.
https://hdl.handle.net/21.15107/rcub_technorep_7174 .
Gajić, Boško, Dragović, Snežana, Dragović, Ranko, Onjia, Antonije, Tapanarova, Angelina, Kresović, Branka, "Sadržaj teških metala u površinskim slojevima poljoprivrednog zemljišta u okolini Pančeva, Srbija" in Zbornik radova / Peti naučno-stručni skup sa međunarodnim učešćem Lokalna samouprava u planiranju i uređenju prostora i naselja, Beograd, april 2014 (2014):261-267,
https://hdl.handle.net/21.15107/rcub_technorep_7174 .

Spatial variability of cs-137 in the soil of Belgrade region (Serbia)

Janković-Mandić, Ljiljana; Dragović, Ranko M.; Đorđević, Milan M.; Đolić, Maja; Onjia, Antonije; Dragović, Snežana D.; Bacić, Goran G.

(Savez hemijskih inženjera, Beograd, 2014)

TY  - JOUR
AU  - Janković-Mandić, Ljiljana
AU  - Dragović, Ranko M.
AU  - Đorđević, Milan M.
AU  - Đolić, Maja
AU  - Onjia, Antonije
AU  - Dragović, Snežana D.
AU  - Bacić, Goran G.
PY  - 2014
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2728
AB  - Among radionuclides in the soil deposited after Chernobyl accident, Cs-137 poses considerable environmental and radiological problemdue to its relatively long half-life (30.17 gamma), its abundance in the fallout, high mobility and similarity to potassium as the major plant nutrient. In this study the samples of undisturbed surface soil (n = 250) were taken from 70 regions in Belgrade, during 2006-2010. The specific activities of Cs-137 were measured by gamma-ray spectrometry. Based on obtained results, the external effective dose rates were calculated according to the internationally accepted activity to dose rate conversion equations. The specific activities of Cs-137 were geographically mapped. The presence of Cs-137 has been detected in all soil samples, with high variability of its specific activity, ranging from 3 to 87 Bq kg(-1).The mean specific activity of Cs-137 was 23 Bq kg(-1) and the corresponding absorbed dose was 1.5 nSv h(-1). The observed range reflects the inhomogeneity of the deposition process following the Chernobyl accident. It could also be attributed to topographic differences and spatial differences in physicochemical and biological soil properties, soil type and vegetation cover. The results of the present study could be valuable database for future estimations of the impact of radioactive pollution.
PB  - Savez hemijskih inženjera, Beograd
T2  - Hemijska industrija
T1  - Spatial variability of cs-137 in the soil of Belgrade region (Serbia)
EP  - 455
IS  - 4
SP  - 449
VL  - 68
DO  - 10.2298/HEMIND130124069J
ER  - 
@article{
author = "Janković-Mandić, Ljiljana and Dragović, Ranko M. and Đorđević, Milan M. and Đolić, Maja and Onjia, Antonije and Dragović, Snežana D. and Bacić, Goran G.",
year = "2014",
abstract = "Among radionuclides in the soil deposited after Chernobyl accident, Cs-137 poses considerable environmental and radiological problemdue to its relatively long half-life (30.17 gamma), its abundance in the fallout, high mobility and similarity to potassium as the major plant nutrient. In this study the samples of undisturbed surface soil (n = 250) were taken from 70 regions in Belgrade, during 2006-2010. The specific activities of Cs-137 were measured by gamma-ray spectrometry. Based on obtained results, the external effective dose rates were calculated according to the internationally accepted activity to dose rate conversion equations. The specific activities of Cs-137 were geographically mapped. The presence of Cs-137 has been detected in all soil samples, with high variability of its specific activity, ranging from 3 to 87 Bq kg(-1).The mean specific activity of Cs-137 was 23 Bq kg(-1) and the corresponding absorbed dose was 1.5 nSv h(-1). The observed range reflects the inhomogeneity of the deposition process following the Chernobyl accident. It could also be attributed to topographic differences and spatial differences in physicochemical and biological soil properties, soil type and vegetation cover. The results of the present study could be valuable database for future estimations of the impact of radioactive pollution.",
publisher = "Savez hemijskih inženjera, Beograd",
journal = "Hemijska industrija",
title = "Spatial variability of cs-137 in the soil of Belgrade region (Serbia)",
pages = "455-449",
number = "4",
volume = "68",
doi = "10.2298/HEMIND130124069J"
}
Janković-Mandić, L., Dragović, R. M., Đorđević, M. M., Đolić, M., Onjia, A., Dragović, S. D.,& Bacić, G. G.. (2014). Spatial variability of cs-137 in the soil of Belgrade region (Serbia). in Hemijska industrija
Savez hemijskih inženjera, Beograd., 68(4), 449-455.
https://doi.org/10.2298/HEMIND130124069J
Janković-Mandić L, Dragović RM, Đorđević MM, Đolić M, Onjia A, Dragović SD, Bacić GG. Spatial variability of cs-137 in the soil of Belgrade region (Serbia). in Hemijska industrija. 2014;68(4):449-455.
doi:10.2298/HEMIND130124069J .
Janković-Mandić, Ljiljana, Dragović, Ranko M., Đorđević, Milan M., Đolić, Maja, Onjia, Antonije, Dragović, Snežana D., Bacić, Goran G., "Spatial variability of cs-137 in the soil of Belgrade region (Serbia)" in Hemijska industrija, 68, no. 4 (2014):449-455,
https://doi.org/10.2298/HEMIND130124069J . .
7
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Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia

Ćujić, Mirjana; Dragović, Snežana D.; Sabovljević, Marko; Slavković-Beškoski, Latinka J.; Kilibarda, Milan; Savović, Jelena; Onjia, Antonije

(Wiley, Hoboken, 2014)

TY  - JOUR
AU  - Ćujić, Mirjana
AU  - Dragović, Snežana D.
AU  - Sabovljević, Marko
AU  - Slavković-Beškoski, Latinka J.
AU  - Kilibarda, Milan
AU  - Savović, Jelena
AU  - Onjia, Antonije
PY  - 2014
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2758
AB  - The survey results of an atmospheric deposition of major, minor and trace elements
using the moss biomonitoring technique are given for the vicinity of the largest
thermal power plant in Serbia. The mosses of genus Brachythecium sp. and species
Kindbergia praelonga (Hedw) Ochyra, both pleurocarpous, were favoured. The concentrations of 22 elements were determined in moss samples using different spectrometric
techniques depending on the sensitivity needed. Elevated concentrations of As, Cd, Co,
Hg, Ni and V were found in the vicinity of the thermal power plant. The results obtained
were chemometrically treated by cluster analysis, which grouped the elements into
three clusters based on common patterns in their concentrations.
PB  - Wiley, Hoboken
T2  - Clean-Soil Air Water
T1  - Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia
EP  - 11
IS  - 1
SP  - 5
VL  - 42
UR  - https://hdl.handle.net/21.15107/rcub_vinar_5872
ER  - 
@article{
author = "Ćujić, Mirjana and Dragović, Snežana D. and Sabovljević, Marko and Slavković-Beškoski, Latinka J. and Kilibarda, Milan and Savović, Jelena and Onjia, Antonije",
year = "2014",
abstract = "The survey results of an atmospheric deposition of major, minor and trace elements
using the moss biomonitoring technique are given for the vicinity of the largest
thermal power plant in Serbia. The mosses of genus Brachythecium sp. and species
Kindbergia praelonga (Hedw) Ochyra, both pleurocarpous, were favoured. The concentrations of 22 elements were determined in moss samples using different spectrometric
techniques depending on the sensitivity needed. Elevated concentrations of As, Cd, Co,
Hg, Ni and V were found in the vicinity of the thermal power plant. The results obtained
were chemometrically treated by cluster analysis, which grouped the elements into
three clusters based on common patterns in their concentrations.",
publisher = "Wiley, Hoboken",
journal = "Clean-Soil Air Water",
title = "Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia",
pages = "11-5",
number = "1",
volume = "42",
url = "https://hdl.handle.net/21.15107/rcub_vinar_5872"
}
Ćujić, M., Dragović, S. D., Sabovljević, M., Slavković-Beškoski, L. J., Kilibarda, M., Savović, J.,& Onjia, A.. (2014). Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia. in Clean-Soil Air Water
Wiley, Hoboken., 42(1), 5-11.
https://hdl.handle.net/21.15107/rcub_vinar_5872
Ćujić M, Dragović SD, Sabovljević M, Slavković-Beškoski LJ, Kilibarda M, Savović J, Onjia A. Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia. in Clean-Soil Air Water. 2014;42(1):5-11.
https://hdl.handle.net/21.15107/rcub_vinar_5872 .
Ćujić, Mirjana, Dragović, Snežana D., Sabovljević, Marko, Slavković-Beškoski, Latinka J., Kilibarda, Milan, Savović, Jelena, Onjia, Antonije, "Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia" in Clean-Soil Air Water, 42, no. 1 (2014):5-11,
https://hdl.handle.net/21.15107/rcub_vinar_5872 .
9

Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)

Dragović, Ranko M.; Gajić, Boško A.; Dragović, Snežana D.; Đorđević, Miodrag; Đorđević, Milan M.; Mihailović, Nevena; Onjia, Antonije

(Elsevier Sci Ltd, Oxford, 2014)

TY  - JOUR
AU  - Dragović, Ranko M.
AU  - Gajić, Boško A.
AU  - Dragović, Snežana D.
AU  - Đorđević, Miodrag
AU  - Đorđević, Milan M.
AU  - Mihailović, Nevena
AU  - Onjia, Antonije
PY  - 2014
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2723
AB  - The concentration of heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the steel production facility in Serbia was determined to assess the contribution of emissions to pollution. The mean concentrations of Cd, Co, Cu, Ni, Pb and Zn were found to be higher than values reported for uncultivated soils world-wide and also exceeded mean concentrations of metals in European soil. Analysis of variance revealed the influence of latitude, longitude and distance from the emission source on heavy metal concentrations in soil. Multivariate statistical techniques (cluster analysis and factor analysis) confirmed previous findings and were also used to investigate relationships between heavy metal concentrations and soil particle size fractions. Regression analysis showed that the latitude, longitude and distance from the source are good predictors of heavy metal concentrations in soil. Geostatistical analysis revealed the spatial distribution of heavy metal concentrations in soil and their correlation with prevailing winds in the investigated area.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Cleaner Production
T1  - Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)
EP  - 562
SP  - 550
VL  - 84
DO  - 10.1016/j.jclepro.2014.03.060
ER  - 
@article{
author = "Dragović, Ranko M. and Gajić, Boško A. and Dragović, Snežana D. and Đorđević, Miodrag and Đorđević, Milan M. and Mihailović, Nevena and Onjia, Antonije",
year = "2014",
abstract = "The concentration of heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the steel production facility in Serbia was determined to assess the contribution of emissions to pollution. The mean concentrations of Cd, Co, Cu, Ni, Pb and Zn were found to be higher than values reported for uncultivated soils world-wide and also exceeded mean concentrations of metals in European soil. Analysis of variance revealed the influence of latitude, longitude and distance from the emission source on heavy metal concentrations in soil. Multivariate statistical techniques (cluster analysis and factor analysis) confirmed previous findings and were also used to investigate relationships between heavy metal concentrations and soil particle size fractions. Regression analysis showed that the latitude, longitude and distance from the source are good predictors of heavy metal concentrations in soil. Geostatistical analysis revealed the spatial distribution of heavy metal concentrations in soil and their correlation with prevailing winds in the investigated area.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Cleaner Production",
title = "Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)",
pages = "562-550",
volume = "84",
doi = "10.1016/j.jclepro.2014.03.060"
}
Dragović, R. M., Gajić, B. A., Dragović, S. D., Đorđević, M., Đorđević, M. M., Mihailović, N.,& Onjia, A.. (2014). Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia). in Journal of Cleaner Production
Elsevier Sci Ltd, Oxford., 84, 550-562.
https://doi.org/10.1016/j.jclepro.2014.03.060
Dragović RM, Gajić BA, Dragović SD, Đorđević M, Đorđević MM, Mihailović N, Onjia A. Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia). in Journal of Cleaner Production. 2014;84:550-562.
doi:10.1016/j.jclepro.2014.03.060 .
Dragović, Ranko M., Gajić, Boško A., Dragović, Snežana D., Đorđević, Miodrag, Đorđević, Milan M., Mihailović, Nevena, Onjia, Antonije, "Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)" in Journal of Cleaner Production, 84 (2014):550-562,
https://doi.org/10.1016/j.jclepro.2014.03.060 . .
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Distribucija litogenih radionuklida u zemljištu Beograda

Janković-Mandić, Ljiljana; Dragović, Ranko; Đolić, Maja; Onjia, Antonije; Dragović, Snežana

(Naučno-stručno društvo za zaštitu životne sredine Srbije – Ecologica, 2013)

TY  - JOUR
AU  - Janković-Mandić, Ljiljana
AU  - Dragović, Ranko
AU  - Đolić, Maja
AU  - Onjia, Antonije
AU  - Dragović, Snežana
PY  - 2013
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7211
PB  - Naučno-stručno društvo za zaštitu životne sredine Srbije – Ecologica
T2  - Ecologica
T1  - Distribucija litogenih radionuklida u zemljištu Beograda
EP  - 284
IS  - 70
SP  - 280
VL  - 20
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7211
ER  - 
@article{
author = "Janković-Mandić, Ljiljana and Dragović, Ranko and Đolić, Maja and Onjia, Antonije and Dragović, Snežana",
year = "2013",
publisher = "Naučno-stručno društvo za zaštitu životne sredine Srbije – Ecologica",
journal = "Ecologica",
title = "Distribucija litogenih radionuklida u zemljištu Beograda",
pages = "284-280",
number = "70",
volume = "20",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7211"
}
Janković-Mandić, L., Dragović, R., Đolić, M., Onjia, A.,& Dragović, S.. (2013). Distribucija litogenih radionuklida u zemljištu Beograda. in Ecologica
Naučno-stručno društvo za zaštitu životne sredine Srbije – Ecologica., 20(70), 280-284.
https://hdl.handle.net/21.15107/rcub_technorep_7211
Janković-Mandić L, Dragović R, Đolić M, Onjia A, Dragović S. Distribucija litogenih radionuklida u zemljištu Beograda. in Ecologica. 2013;20(70):280-284.
https://hdl.handle.net/21.15107/rcub_technorep_7211 .
Janković-Mandić, Ljiljana, Dragović, Ranko, Đolić, Maja, Onjia, Antonije, Dragović, Snežana, "Distribucija litogenih radionuklida u zemljištu Beograda" in Ecologica, 20, no. 70 (2013):280-284,
https://hdl.handle.net/21.15107/rcub_technorep_7211 .

Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia

Dragović, Snežana D.; Ćujić, Mirjana; Slavković-Beškoski, Latinka J.; Gajić, Boško A.; Bajat, Branislav; Kilibarda, Milan; Onjia, Antonije

(Elsevier Science Bv, Amsterdam, 2013)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Ćujić, Mirjana
AU  - Slavković-Beškoski, Latinka J.
AU  - Gajić, Boško A.
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Onjia, Antonije
PY  - 2013
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2541
AB  - The content of trace elements (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the largest coal-fired power plant in Serbia was determined to assess the contribution of emissions to pollution. Analysis of mutual associations between the trace elements and their correlation with soil particle size fractions indicated anthropogenic origin at most sampling sites. Enrichment factor analysis confirmed these findings. Common patterns in trace element concentrations of the analysed soils were identified by hierarchical cluster analysis. Explanatory spatial analysis, used for characterization and mapping of spatial variability patterns, revealed the highest concentrations of trace elements in areas in predominant wind directions.
PB  - Elsevier Science Bv, Amsterdam
T2  - Catena
T1  - Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia
EP  - 296
SP  - 288
VL  - 104
DO  - 10.1016/j.catena.2012.12.004
ER  - 
@article{
author = "Dragović, Snežana D. and Ćujić, Mirjana and Slavković-Beškoski, Latinka J. and Gajić, Boško A. and Bajat, Branislav and Kilibarda, Milan and Onjia, Antonije",
year = "2013",
abstract = "The content of trace elements (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the largest coal-fired power plant in Serbia was determined to assess the contribution of emissions to pollution. Analysis of mutual associations between the trace elements and their correlation with soil particle size fractions indicated anthropogenic origin at most sampling sites. Enrichment factor analysis confirmed these findings. Common patterns in trace element concentrations of the analysed soils were identified by hierarchical cluster analysis. Explanatory spatial analysis, used for characterization and mapping of spatial variability patterns, revealed the highest concentrations of trace elements in areas in predominant wind directions.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Catena",
title = "Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia",
pages = "296-288",
volume = "104",
doi = "10.1016/j.catena.2012.12.004"
}
Dragović, S. D., Ćujić, M., Slavković-Beškoski, L. J., Gajić, B. A., Bajat, B., Kilibarda, M.,& Onjia, A.. (2013). Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia. in Catena
Elsevier Science Bv, Amsterdam., 104, 288-296.
https://doi.org/10.1016/j.catena.2012.12.004
Dragović SD, Ćujić M, Slavković-Beškoski LJ, Gajić BA, Bajat B, Kilibarda M, Onjia A. Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia. in Catena. 2013;104:288-296.
doi:10.1016/j.catena.2012.12.004 .
Dragović, Snežana D., Ćujić, Mirjana, Slavković-Beškoski, Latinka J., Gajić, Boško A., Bajat, Branislav, Kilibarda, Milan, Onjia, Antonije, "Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia" in Catena, 104 (2013):288-296,
https://doi.org/10.1016/j.catena.2012.12.004 . .
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Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia)

Janković-Mandić, Ljiljana; Dragović, Ranko; Đorđević, Milan; Đolić, Maja; Onjia, Antonije; Dragović, Snežana

(Belgrade : Society of Physical Chemists of Serbia, 2012)

TY  - CONF
AU  - Janković-Mandić, Ljiljana
AU  - Dragović, Ranko
AU  - Đorđević, Milan
AU  - Đolić, Maja
AU  - Onjia, Antonije
AU  - Dragović, Snežana
PY  - 2012
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7209
PB  - Belgrade : Society of Physical Chemists of Serbia
C3  - Physical Chemistry 2012 : proceedings / 11th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 24-28, 2012, Belgrade
T1  - Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia)
EP  - 623
SP  - 621
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7209
ER  - 
@conference{
author = "Janković-Mandić, Ljiljana and Dragović, Ranko and Đorđević, Milan and Đolić, Maja and Onjia, Antonije and Dragović, Snežana",
year = "2012",
publisher = "Belgrade : Society of Physical Chemists of Serbia",
journal = "Physical Chemistry 2012 : proceedings / 11th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 24-28, 2012, Belgrade",
title = "Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia)",
pages = "623-621",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7209"
}
Janković-Mandić, L., Dragović, R., Đorđević, M., Đolić, M., Onjia, A.,& Dragović, S.. (2012). Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia). in Physical Chemistry 2012 : proceedings / 11th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 24-28, 2012, Belgrade
Belgrade : Society of Physical Chemists of Serbia., 2, 621-623.
https://hdl.handle.net/21.15107/rcub_technorep_7209
Janković-Mandić L, Dragović R, Đorđević M, Đolić M, Onjia A, Dragović S. Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia). in Physical Chemistry 2012 : proceedings / 11th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 24-28, 2012, Belgrade. 2012;2:621-623.
https://hdl.handle.net/21.15107/rcub_technorep_7209 .
Janković-Mandić, Ljiljana, Dragović, Ranko, Đorđević, Milan, Đolić, Maja, Onjia, Antonije, Dragović, Snežana, "Spatial variability of 137Cs activities in the soil of Belgrade region (Serbia)" in Physical Chemistry 2012 : proceedings / 11th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 24-28, 2012, Belgrade, 2 (2012):621-623,
https://hdl.handle.net/21.15107/rcub_technorep_7209 .

Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting

Janković-Mandić, Ljiljana; Dragović, Ranko; Đolić, Maja; Onjia, Antonije; Dragović, Snežana

(Niš : Faculty of Electronic Engineering, 2012)

TY  - CONF
AU  - Janković-Mandić, Ljiljana
AU  - Dragović, Ranko
AU  - Đolić, Maja
AU  - Onjia, Antonije
AU  - Dragović, Snežana
PY  - 2012
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7224
AB  - Terrestrial radiation exposure emitted from naturally occurring radionuclides, such as 40K and radionuclides from the 238U and 232Th series and their decay products represent the main external source of irradation to human body. The purpose of this study was to provide the assessment of the doses from terrestrial exposure of population in Belgrade. The gamma dose rate, annual effective doses and external hazard indexes due to terrestrial natural occurring radionuclides (226Ra, 232Th, 40K) were calculated based on their activities in soil samples in Belgrade determined by gamma-ray spectrometry. The mean value of the total absorbed gamma dose rate outdoors due to terrestrial radionuclides for Belgrade was 59 nGy/h which is close to the worldwide average value (58 nGy/h). The values of the gamma dose rate varied among sampling locations as a consequence of different geological formations in the investigated area. The mean value of annual effective dose of 73 Sv was significantly lower than the maximum allowed dose of 1 mSv for the population and was consistent with the worldwide average value. The mean value of external hazard index was found to be 0.28. The results of this assessment study pointed out that there is no significant radiation risk to the population of Belgrade due to terrestrial exposure to radiation from natural sources outdoors.
PB  - Niš : Faculty of Electronic Engineering
C3  - Proceedings / The First International Conference on Radiation and Dosimetry in Various Fields of Research, RAD 2012, April 25-27, 2012, Niš, Serbia
T1  - Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting
EP  - 298
SP  - 295
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7224
ER  - 
@conference{
author = "Janković-Mandić, Ljiljana and Dragović, Ranko and Đolić, Maja and Onjia, Antonije and Dragović, Snežana",
year = "2012",
abstract = "Terrestrial radiation exposure emitted from naturally occurring radionuclides, such as 40K and radionuclides from the 238U and 232Th series and their decay products represent the main external source of irradation to human body. The purpose of this study was to provide the assessment of the doses from terrestrial exposure of population in Belgrade. The gamma dose rate, annual effective doses and external hazard indexes due to terrestrial natural occurring radionuclides (226Ra, 232Th, 40K) were calculated based on their activities in soil samples in Belgrade determined by gamma-ray spectrometry. The mean value of the total absorbed gamma dose rate outdoors due to terrestrial radionuclides for Belgrade was 59 nGy/h which is close to the worldwide average value (58 nGy/h). The values of the gamma dose rate varied among sampling locations as a consequence of different geological formations in the investigated area. The mean value of annual effective dose of 73 Sv was significantly lower than the maximum allowed dose of 1 mSv for the population and was consistent with the worldwide average value. The mean value of external hazard index was found to be 0.28. The results of this assessment study pointed out that there is no significant radiation risk to the population of Belgrade due to terrestrial exposure to radiation from natural sources outdoors.",
publisher = "Niš : Faculty of Electronic Engineering",
journal = "Proceedings / The First International Conference on Radiation and Dosimetry in Various Fields of Research, RAD 2012, April 25-27, 2012, Niš, Serbia",
title = "Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting",
pages = "298-295",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7224"
}
Janković-Mandić, L., Dragović, R., Đolić, M., Onjia, A.,& Dragović, S.. (2012). Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting. in Proceedings / The First International Conference on Radiation and Dosimetry in Various Fields of Research, RAD 2012, April 25-27, 2012, Niš, Serbia
Niš : Faculty of Electronic Engineering., 295-298.
https://hdl.handle.net/21.15107/rcub_technorep_7224
Janković-Mandić L, Dragović R, Đolić M, Onjia A, Dragović S. Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting. in Proceedings / The First International Conference on Radiation and Dosimetry in Various Fields of Research, RAD 2012, April 25-27, 2012, Niš, Serbia. 2012;:295-298.
https://hdl.handle.net/21.15107/rcub_technorep_7224 .
Janković-Mandić, Ljiljana, Dragović, Ranko, Đolić, Maja, Onjia, Antonije, Dragović, Snežana, "Population doses from terrestrial gamma exposure in Belgrade (Serbia) and their relation to geological setting" in Proceedings / The First International Conference on Radiation and Dosimetry in Various Fields of Research, RAD 2012, April 25-27, 2012, Niš, Serbia (2012):295-298,
https://hdl.handle.net/21.15107/rcub_technorep_7224 .

Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations

Dragović, Snežana; Momčilović, Milan; Onjia, Antonije

(Østerås : Norwegian Radiation Protection Authority, 2008)

TY  - CONF
AU  - Dragović, Snežana
AU  - Momčilović, Milan
AU  - Onjia, Antonije
PY  - 2008
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7185
AB  - Some of the most commonly occuring problems in radioecological and environmental
radioactivitiy studies when applying traditional statistical models are multivariate and
multiscale structures of data. Spatial data analysis of radioactively contaminated areas are
particularly complex for many reasons: uncertainty of the source term, high spatial and
temporal variability of pollution patterns, spatial and temporal nonstationarity and
multivariate nature of the phenomenon with linearly and nonlinearly correlated variables.
There are only few studies on employing the multivariate approach to describe the correlation
between locations and radioactive contamination (Kanevski, 1996; Kanevski, 1997).
In this work the feasibility of using multivariate analysis techniques, principal component
analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural networks (ANN), to
predict soils and bioindicators origin based on their radionuclide content was examined.
PB  - Østerås : Norwegian Radiation Protection Authority
C3  - Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway
T1  - Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations
EP  - 110
SP  - 107
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7185
ER  - 
@conference{
author = "Dragović, Snežana and Momčilović, Milan and Onjia, Antonije",
year = "2008",
abstract = "Some of the most commonly occuring problems in radioecological and environmental
radioactivitiy studies when applying traditional statistical models are multivariate and
multiscale structures of data. Spatial data analysis of radioactively contaminated areas are
particularly complex for many reasons: uncertainty of the source term, high spatial and
temporal variability of pollution patterns, spatial and temporal nonstationarity and
multivariate nature of the phenomenon with linearly and nonlinearly correlated variables.
There are only few studies on employing the multivariate approach to describe the correlation
between locations and radioactive contamination (Kanevski, 1996; Kanevski, 1997).
In this work the feasibility of using multivariate analysis techniques, principal component
analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural networks (ANN), to
predict soils and bioindicators origin based on their radionuclide content was examined.",
publisher = "Østerås : Norwegian Radiation Protection Authority",
journal = "Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway",
title = "Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations",
pages = "110-107",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7185"
}
Dragović, S., Momčilović, M.,& Onjia, A.. (2008). Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations. in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway
Østerås : Norwegian Radiation Protection Authority., 107-110.
https://hdl.handle.net/21.15107/rcub_technorep_7185
Dragović S, Momčilović M, Onjia A. Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations. in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway. 2008;:107-110.
https://hdl.handle.net/21.15107/rcub_technorep_7185 .
Dragović, Snežana, Momčilović, Milan, Onjia, Antonije, "Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations" in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway (2008):107-110,
https://hdl.handle.net/21.15107/rcub_technorep_7185 .

Population doses from terrestrial gamma exposure in Serbia

Dragović, Snežana; Janković Mandić, Ljiljana; Momčilović, Milan; Onjia, Antonije

(Institute of Oncology, 2007)

TY  - JOUR
AU  - Dragović, Snežana
AU  - Janković Mandić, Ljiljana
AU  - Momčilović, Milan
AU  - Onjia, Antonije
PY  - 2007
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7231
AB  - Background: Terrestrial radiation emitted from naturally occurring radionuclides, such as 40K and radionuclides from the 238U
and 232Th series and their decay products represent the main external source of irradiation to the human body. The purpose
of this study was to provide a preliminary assessment of the doses from terrestrial exposure of population in Serbia and to
estimate a potential radiation hazard for population inhabiting investigated areas.
Methods: The gamma dose rates, external hazard indexes, and annual effective doses due to terrestrial naturally occurring radionuclides
(
238U, 232Th and 40K) were calculated based on their activities in soil samples in Serbia as determined by gamma-ray spectrometry.
Results: The total absorbed gamma dose rate due to these radionuclides varied from 16.9 to 125 nGy h-1, with a mean of 62.8
nGy h-1. Assuming a 20% occupancy factor, the corresponding annual effective dose varied from 2.07 to 15.4×10-5 Sv with
the mean value of 7.7×10-5 Sv, i.e. annual effective dose was in range of the world wide average values.
Conclusion: According to the values of external hazard index obtained in this study (mean Hex = 0.35), the radiation hazard
was insignificant for the population living in investigated areas.
PB  - Institute of Oncology
T2  - Archive of Oncology
T1  - Population doses from terrestrial gamma exposure in Serbia
EP  - 80
IS  - 3-4
SP  - 78
VL  - 15
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7231
ER  - 
@article{
author = "Dragović, Snežana and Janković Mandić, Ljiljana and Momčilović, Milan and Onjia, Antonije",
year = "2007",
abstract = "Background: Terrestrial radiation emitted from naturally occurring radionuclides, such as 40K and radionuclides from the 238U
and 232Th series and their decay products represent the main external source of irradiation to the human body. The purpose
of this study was to provide a preliminary assessment of the doses from terrestrial exposure of population in Serbia and to
estimate a potential radiation hazard for population inhabiting investigated areas.
Methods: The gamma dose rates, external hazard indexes, and annual effective doses due to terrestrial naturally occurring radionuclides
(
238U, 232Th and 40K) were calculated based on their activities in soil samples in Serbia as determined by gamma-ray spectrometry.
Results: The total absorbed gamma dose rate due to these radionuclides varied from 16.9 to 125 nGy h-1, with a mean of 62.8
nGy h-1. Assuming a 20% occupancy factor, the corresponding annual effective dose varied from 2.07 to 15.4×10-5 Sv with
the mean value of 7.7×10-5 Sv, i.e. annual effective dose was in range of the world wide average values.
Conclusion: According to the values of external hazard index obtained in this study (mean Hex = 0.35), the radiation hazard
was insignificant for the population living in investigated areas.",
publisher = "Institute of Oncology",
journal = "Archive of Oncology",
title = "Population doses from terrestrial gamma exposure in Serbia",
pages = "80-78",
number = "3-4",
volume = "15",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7231"
}
Dragović, S., Janković Mandić, L., Momčilović, M.,& Onjia, A.. (2007). Population doses from terrestrial gamma exposure in Serbia. in Archive of Oncology
Institute of Oncology., 15(3-4), 78-80.
https://hdl.handle.net/21.15107/rcub_technorep_7231
Dragović S, Janković Mandić L, Momčilović M, Onjia A. Population doses from terrestrial gamma exposure in Serbia. in Archive of Oncology. 2007;15(3-4):78-80.
https://hdl.handle.net/21.15107/rcub_technorep_7231 .
Dragović, Snežana, Janković Mandić, Ljiljana, Momčilović, Milan, Onjia, Antonije, "Population doses from terrestrial gamma exposure in Serbia" in Archive of Oncology, 15, no. 3-4 (2007):78-80,
https://hdl.handle.net/21.15107/rcub_technorep_7231 .

Pattern Recognition Methods in Environmental Radioactivity Studies

Dragović, Snežana; Onjia, Antonije

(Nova Science Publishers, 2007)

TY  - CHAP
AU  - Dragović, Snežana
AU  - Onjia, Antonije
PY  - 2007
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6542
AB  - Pattern recognition methods provide powerful tools for the analysis and interpretation of large environmental data sets generated within environmental monitoring programmes. Most of these data sets consist of trace elements and/or trace organic pollutants patterns. Only a few studies have been done on employing the pattern recognition methods to describe the correlation between locations and radioactive contamination. This multivariate approach has been used predominantly for the identification of radioactive isotopes, quantitative gamma-ray spectrometry analysis and for optimization of gamma-ray spectrometric measurements. Spatial data analysis based on radioactive contamination of diverse regions is complex for many reasons. These include the uncertainty of the source term, high spatial and temporal variability of pollution patterns, spatial and temporal non-stationary and the multivariate nature of the phenomenon with linearly and non-linearly correlated variables. Our studies show that the geographic origin can be recognized with minimum effort if the relevant constituents are analyzed and the results are included in data analysis algorithms. Five common pattern-recognition techniques, artificial neural networks (ANN), principal component analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbors (kNN) and soft independent modeling of class analogy (SIMCA) were employed to classify soil and bioindicator samples (mosses and lichens) according to their geographical origin, based on their content of radionuclides from different sources (members of the natural uranium and thorium decay chains, cesium isotopes originating from the Chernobyl power plant accident and cosmogenic beryllium), determined by gamma-ray spectrometry. The ability of the ANN to extract hidden features from the input signals was found to be particularly useful for this kind of monitoring, when the data sets with complex correlation structures had to be analyzed, or when data sets contained series of many highly inter correlated variables.
PB  - Nova Science Publishers
T2  - Pattern Recognition in Nanoscience, Environmental Engineering and Archeology
T1  - Pattern Recognition Methods in Environmental Radioactivity Studies
EP  - 157
IS  - 5
SP  - 123
UR  - https://hdl.handle.net/21.15107/rcub_technorep_6542
ER  - 
@inbook{
author = "Dragović, Snežana and Onjia, Antonije",
year = "2007",
abstract = "Pattern recognition methods provide powerful tools for the analysis and interpretation of large environmental data sets generated within environmental monitoring programmes. Most of these data sets consist of trace elements and/or trace organic pollutants patterns. Only a few studies have been done on employing the pattern recognition methods to describe the correlation between locations and radioactive contamination. This multivariate approach has been used predominantly for the identification of radioactive isotopes, quantitative gamma-ray spectrometry analysis and for optimization of gamma-ray spectrometric measurements. Spatial data analysis based on radioactive contamination of diverse regions is complex for many reasons. These include the uncertainty of the source term, high spatial and temporal variability of pollution patterns, spatial and temporal non-stationary and the multivariate nature of the phenomenon with linearly and non-linearly correlated variables. Our studies show that the geographic origin can be recognized with minimum effort if the relevant constituents are analyzed and the results are included in data analysis algorithms. Five common pattern-recognition techniques, artificial neural networks (ANN), principal component analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbors (kNN) and soft independent modeling of class analogy (SIMCA) were employed to classify soil and bioindicator samples (mosses and lichens) according to their geographical origin, based on their content of radionuclides from different sources (members of the natural uranium and thorium decay chains, cesium isotopes originating from the Chernobyl power plant accident and cosmogenic beryllium), determined by gamma-ray spectrometry. The ability of the ANN to extract hidden features from the input signals was found to be particularly useful for this kind of monitoring, when the data sets with complex correlation structures had to be analyzed, or when data sets contained series of many highly inter correlated variables.",
publisher = "Nova Science Publishers",
journal = "Pattern Recognition in Nanoscience, Environmental Engineering and Archeology",
booktitle = "Pattern Recognition Methods in Environmental Radioactivity Studies",
pages = "157-123",
number = "5",
url = "https://hdl.handle.net/21.15107/rcub_technorep_6542"
}
Dragović, S.,& Onjia, A.. (2007). Pattern Recognition Methods in Environmental Radioactivity Studies. in Pattern Recognition in Nanoscience, Environmental Engineering and Archeology
Nova Science Publishers.(5), 123-157.
https://hdl.handle.net/21.15107/rcub_technorep_6542
Dragović S, Onjia A. Pattern Recognition Methods in Environmental Radioactivity Studies. in Pattern Recognition in Nanoscience, Environmental Engineering and Archeology. 2007;(5):123-157.
https://hdl.handle.net/21.15107/rcub_technorep_6542 .
Dragović, Snežana, Onjia, Antonije, "Pattern Recognition Methods in Environmental Radioactivity Studies" in Pattern Recognition in Nanoscience, Environmental Engineering and Archeology, no. 5 (2007):123-157,
https://hdl.handle.net/21.15107/rcub_technorep_6542 .

Artificial neural network data analysis for classification of soils based on their radionuclide content

Dragović, Snežana D.; Onjia, Antonije

(Maik Nauka/Interperiodica/Springer, New York, 2007)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Onjia, Antonije
PY  - 2007
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1182
AB  - The artificial neural network (ANN) data analysis method was used to recognize and classify soils of an unknown geographic origin. A total of 103 soil samples were differentiated into classes according to the regions in Serbia and Montenegro from which they were collected. Their radionuclide (Ra-226, U-238, U-235, K-40, Cs-134, Cs-137, Th-232, and Be-7) activities detected by gamma-ray spectrometry were then used as inputs to ANN. Five different training algorithms with different numbers of samples in training sets were tested and compared in order to find the one with the minimum root mean square error (RMSE). The best predictive power for the classification of soils from the fifteen regions was achieved using a network with seven hidden layer nodes and 2500 training epochs using the online back-propagation randomized training algorithm. With the optimized ANN, most soil samples not included in the ANN training data set were correctly classified at an average rate of 92%.
PB  - Maik Nauka/Interperiodica/Springer, New York
T2  - Russian Journal of Physical Chemistry A
T1  - Artificial neural network data analysis for classification of soils based on their radionuclide content
EP  - 1481
IS  - 9
SP  - 1477
VL  - 81
DO  - 10.1134/S0036024407090257
ER  - 
@article{
author = "Dragović, Snežana D. and Onjia, Antonije",
year = "2007",
abstract = "The artificial neural network (ANN) data analysis method was used to recognize and classify soils of an unknown geographic origin. A total of 103 soil samples were differentiated into classes according to the regions in Serbia and Montenegro from which they were collected. Their radionuclide (Ra-226, U-238, U-235, K-40, Cs-134, Cs-137, Th-232, and Be-7) activities detected by gamma-ray spectrometry were then used as inputs to ANN. Five different training algorithms with different numbers of samples in training sets were tested and compared in order to find the one with the minimum root mean square error (RMSE). The best predictive power for the classification of soils from the fifteen regions was achieved using a network with seven hidden layer nodes and 2500 training epochs using the online back-propagation randomized training algorithm. With the optimized ANN, most soil samples not included in the ANN training data set were correctly classified at an average rate of 92%.",
publisher = "Maik Nauka/Interperiodica/Springer, New York",
journal = "Russian Journal of Physical Chemistry A",
title = "Artificial neural network data analysis for classification of soils based on their radionuclide content",
pages = "1481-1477",
number = "9",
volume = "81",
doi = "10.1134/S0036024407090257"
}
Dragović, S. D.,& Onjia, A.. (2007). Artificial neural network data analysis for classification of soils based on their radionuclide content. in Russian Journal of Physical Chemistry A
Maik Nauka/Interperiodica/Springer, New York., 81(9), 1477-1481.
https://doi.org/10.1134/S0036024407090257
Dragović SD, Onjia A. Artificial neural network data analysis for classification of soils based on their radionuclide content. in Russian Journal of Physical Chemistry A. 2007;81(9):1477-1481.
doi:10.1134/S0036024407090257 .
Dragović, Snežana D., Onjia, Antonije, "Artificial neural network data analysis for classification of soils based on their radionuclide content" in Russian Journal of Physical Chemistry A, 81, no. 9 (2007):1477-1481,
https://doi.org/10.1134/S0036024407090257 . .
2
3
5

Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods

Dragović, Snežana; Onjia, Antonije

(Pergamon-Elsevier Science Ltd, Oxford, 2007)

TY  - JOUR
AU  - Dragović, Snežana
AU  - Onjia, Antonije
PY  - 2007
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1121
AB  - Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes, according to regions in Serbia and Montenegro from which they were collected. Their radionuclide (Ra-226, U-238, U-235, K-40, Cs-134, Cs-137, Th-232 and Be-7) activities detected by gamma-ray spectrometry were then used as the inputs in different pattern recognition methods. For the classification of soil samples using eight selected radionuclides, the prediction ability of linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Applied Radiation and Isotopes
T1  - Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods
EP  - 224
IS  - 2
SP  - 218
VL  - 65
DO  - 10.1016/j.apradiso.2006.07.005
ER  - 
@article{
author = "Dragović, Snežana and Onjia, Antonije",
year = "2007",
abstract = "Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes, according to regions in Serbia and Montenegro from which they were collected. Their radionuclide (Ra-226, U-238, U-235, K-40, Cs-134, Cs-137, Th-232 and Be-7) activities detected by gamma-ray spectrometry were then used as the inputs in different pattern recognition methods. For the classification of soil samples using eight selected radionuclides, the prediction ability of linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Applied Radiation and Isotopes",
title = "Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods",
pages = "224-218",
number = "2",
volume = "65",
doi = "10.1016/j.apradiso.2006.07.005"
}
Dragović, S.,& Onjia, A.. (2007). Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods. in Applied Radiation and Isotopes
Pergamon-Elsevier Science Ltd, Oxford., 65(2), 218-224.
https://doi.org/10.1016/j.apradiso.2006.07.005
Dragović S, Onjia A. Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods. in Applied Radiation and Isotopes. 2007;65(2):218-224.
doi:10.1016/j.apradiso.2006.07.005 .
Dragović, Snežana, Onjia, Antonije, "Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods" in Applied Radiation and Isotopes, 65, no. 2 (2007):218-224,
https://doi.org/10.1016/j.apradiso.2006.07.005 . .
3
21
17
23

Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis

Dragović, Snežana D.; Onjia, Antonije; Dragović, Ranko M.; Bacić, Goran

(Springer, Dordrecht, 2007)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Onjia, Antonije
AU  - Dragović, Ranko M.
AU  - Bacić, Goran
PY  - 2007
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1095
AB  - Mosses and lichens have an important role in biomonitoring. The objective of this study is to develop a neural network model to classify these plants according to geographical origin. A three-layer feed-forward neural network was used. The activities of radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137 and Be-7) detected in plant samples by gamma-ray spectrometry were used as inputs for neural network. Five different training algorithms with different number of samples in training sets were tested and compared, in order to find the one with the minimum root mean square error. The best predictive power for the classification of plants from 12 regions was achieved using a network with 5 hidden layer nodes and 3,000 training epochs, using the online back-propagation randomized training algorithm. Implementation of this model to experimental data resulted in satisfactory classification of moss and lichen samples in terms of their geographical origin. The average classification rate obtained in this study was (90.7 +/- 4.8)%.
PB  - Springer, Dordrecht
T2  - Environmental Monitoring and Assessment
T1  - Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis
EP  - 253
IS  - 1-3
SP  - 245
VL  - 130
DO  - 10.1007/s10661-006-9393-4
ER  - 
@article{
author = "Dragović, Snežana D. and Onjia, Antonije and Dragović, Ranko M. and Bacić, Goran",
year = "2007",
abstract = "Mosses and lichens have an important role in biomonitoring. The objective of this study is to develop a neural network model to classify these plants according to geographical origin. A three-layer feed-forward neural network was used. The activities of radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137 and Be-7) detected in plant samples by gamma-ray spectrometry were used as inputs for neural network. Five different training algorithms with different number of samples in training sets were tested and compared, in order to find the one with the minimum root mean square error. The best predictive power for the classification of plants from 12 regions was achieved using a network with 5 hidden layer nodes and 3,000 training epochs, using the online back-propagation randomized training algorithm. Implementation of this model to experimental data resulted in satisfactory classification of moss and lichen samples in terms of their geographical origin. The average classification rate obtained in this study was (90.7 +/- 4.8)%.",
publisher = "Springer, Dordrecht",
journal = "Environmental Monitoring and Assessment",
title = "Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis",
pages = "253-245",
number = "1-3",
volume = "130",
doi = "10.1007/s10661-006-9393-4"
}
Dragović, S. D., Onjia, A., Dragović, R. M.,& Bacić, G.. (2007). Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis. in Environmental Monitoring and Assessment
Springer, Dordrecht., 130(1-3), 245-253.
https://doi.org/10.1007/s10661-006-9393-4
Dragović SD, Onjia A, Dragović RM, Bacić G. Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis. in Environmental Monitoring and Assessment. 2007;130(1-3):245-253.
doi:10.1007/s10661-006-9393-4 .
Dragović, Snežana D., Onjia, Antonije, Dragović, Ranko M., Bacić, Goran, "Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis" in Environmental Monitoring and Assessment, 130, no. 1-3 (2007):245-253,
https://doi.org/10.1007/s10661-006-9393-4 . .
11
9
15

Pattern recognition methods for classification of soils based on their radionuclide content

Dragović, Snežana; Onjia, Antonije

(Belgrade : The Society of Physical Chemists of Serbia, 2006)

TY  - CONF
AU  - Dragović, Snežana
AU  - Onjia, Antonije
PY  - 2006
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7232
AB  - Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes,
according to regions in Serbia and Montenegro from which they were collected. Their
radionuclide (226Ra, 238U, 235U, 40K, 134Cs, 137Cs, 232Th and 7
Be) activities detected by
gamma-ray spectrometry were then used as the inputs in different pattern recognition
methods. The prediction ability of linear discriminant analysis (LDA), k-nearest
neighbours (KNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.
PB  - Belgrade : The Society of Physical Chemists of Serbia
C3  - Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia
T1  - Pattern recognition methods for classification of soils based on their radionuclide content
EP  - 456
SP  - 454
VL  - 1
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7232
ER  - 
@conference{
author = "Dragović, Snežana and Onjia, Antonije",
year = "2006",
abstract = "Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes,
according to regions in Serbia and Montenegro from which they were collected. Their
radionuclide (226Ra, 238U, 235U, 40K, 134Cs, 137Cs, 232Th and 7
Be) activities detected by
gamma-ray spectrometry were then used as the inputs in different pattern recognition
methods. The prediction ability of linear discriminant analysis (LDA), k-nearest
neighbours (KNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.",
publisher = "Belgrade : The Society of Physical Chemists of Serbia",
journal = "Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia",
title = "Pattern recognition methods for classification of soils based on their radionuclide content",
pages = "456-454",
volume = "1",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7232"
}
Dragović, S.,& Onjia, A.. (2006). Pattern recognition methods for classification of soils based on their radionuclide content. in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia
Belgrade : The Society of Physical Chemists of Serbia., 1, 454-456.
https://hdl.handle.net/21.15107/rcub_technorep_7232
Dragović S, Onjia A. Pattern recognition methods for classification of soils based on their radionuclide content. in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia. 2006;1:454-456.
https://hdl.handle.net/21.15107/rcub_technorep_7232 .
Dragović, Snežana, Onjia, Antonije, "Pattern recognition methods for classification of soils based on their radionuclide content" in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia, 1 (2006):454-456,
https://hdl.handle.net/21.15107/rcub_technorep_7232 .

Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro

Dragović, Snežana D.; Janković-Mandić, Ljiljana; Onjia, Antonije

(Oxford Univ Press, Oxford, 2006)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Janković-Mandić, Ljiljana
AU  - Onjia, Antonije
PY  - 2006
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/981
AB  - The gamma dose rates due to naturally occuring terrestrial radionuclides (Ra-226, Th-232 and K-40) were calculated based on their activities in soil samples, determined by gamma-ray spectrometry. A total of 140 soil samples from 21 different regions of Serbia and Montenegro were collected. The gamma dose rates ranged from 7.40 to 29.7 nGy h(-1) for Ra-226, from 12.9 to 46.5 nGy h(-1) for Th-232 and from 12.5 to 37.1 nGy h(-1) for K-40. The total absorbed gamma dose rate due to these radionuclides varied from 34.5 to 97.6 nGy h(-1) with mean of 66.8 nGy h(-1). Assuming a 20% occupancy factor, the corresponding annual effective dose varied from 4.23 x 10(-5) to 11.9 x 10(-5) Sv with mean of 8.19 x 10(-5) Sv, i.e. the dose was lower than world wide average value. According to the values of external hazard index (mean: 0.39) obtained in this study, the radiation hazard was found to be insignificant for population living in the investigated area.
PB  - Oxford Univ Press, Oxford
T2  - Radiation Protection Dosimetry
T1  - Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro
EP  - 302
IS  - 3
SP  - 297
VL  - 121
DO  - 10.1093/rpd/ncl099
ER  - 
@article{
author = "Dragović, Snežana D. and Janković-Mandić, Ljiljana and Onjia, Antonije",
year = "2006",
abstract = "The gamma dose rates due to naturally occuring terrestrial radionuclides (Ra-226, Th-232 and K-40) were calculated based on their activities in soil samples, determined by gamma-ray spectrometry. A total of 140 soil samples from 21 different regions of Serbia and Montenegro were collected. The gamma dose rates ranged from 7.40 to 29.7 nGy h(-1) for Ra-226, from 12.9 to 46.5 nGy h(-1) for Th-232 and from 12.5 to 37.1 nGy h(-1) for K-40. The total absorbed gamma dose rate due to these radionuclides varied from 34.5 to 97.6 nGy h(-1) with mean of 66.8 nGy h(-1). Assuming a 20% occupancy factor, the corresponding annual effective dose varied from 4.23 x 10(-5) to 11.9 x 10(-5) Sv with mean of 8.19 x 10(-5) Sv, i.e. the dose was lower than world wide average value. According to the values of external hazard index (mean: 0.39) obtained in this study, the radiation hazard was found to be insignificant for population living in the investigated area.",
publisher = "Oxford Univ Press, Oxford",
journal = "Radiation Protection Dosimetry",
title = "Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro",
pages = "302-297",
number = "3",
volume = "121",
doi = "10.1093/rpd/ncl099"
}
Dragović, S. D., Janković-Mandić, L.,& Onjia, A.. (2006). Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro. in Radiation Protection Dosimetry
Oxford Univ Press, Oxford., 121(3), 297-302.
https://doi.org/10.1093/rpd/ncl099
Dragović SD, Janković-Mandić L, Onjia A. Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro. in Radiation Protection Dosimetry. 2006;121(3):297-302.
doi:10.1093/rpd/ncl099 .
Dragović, Snežana D., Janković-Mandić, Ljiljana, Onjia, Antonije, "Assessment of gamma dose rates from terrestrial exposure in Serbia and Montenegro" in Radiation Protection Dosimetry, 121, no. 3 (2006):297-302,
https://doi.org/10.1093/rpd/ncl099 . .
43
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45

Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis

Dragović, Snežana D.; Onjia, Antonije

(Elsevier Sci Ltd, Oxford, 2006)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Onjia, Antonije
PY  - 2006
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/976
AB  - A principal component analysis (PCA) was used for classification of soil samples from different locations in Serbia and Montenegro. Based on activities of radionuclides (Ra-226, U-238, U-235, K-40, Cs-134, Cs-131, Th-232 and Be-7) detected by gamma-ray spectrometry, the classification of soils according to their geographical origin was performed. Application of PCA to our experimental data resulted in satisfactory classification rate (86.0% correctly classified samples). The obtained results indicate that gamma-ray spectrometry in conjunction with PCA is a viable tool for soil classification.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Environmental Radioactivity
T1  - Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis
EP  - 158
IS  - 2
SP  - 150
VL  - 89
DO  - 10.1016/j.jenvrad.2006.05.002
ER  - 
@article{
author = "Dragović, Snežana D. and Onjia, Antonije",
year = "2006",
abstract = "A principal component analysis (PCA) was used for classification of soil samples from different locations in Serbia and Montenegro. Based on activities of radionuclides (Ra-226, U-238, U-235, K-40, Cs-134, Cs-131, Th-232 and Be-7) detected by gamma-ray spectrometry, the classification of soils according to their geographical origin was performed. Application of PCA to our experimental data resulted in satisfactory classification rate (86.0% correctly classified samples). The obtained results indicate that gamma-ray spectrometry in conjunction with PCA is a viable tool for soil classification.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Environmental Radioactivity",
title = "Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis",
pages = "158-150",
number = "2",
volume = "89",
doi = "10.1016/j.jenvrad.2006.05.002"
}
Dragović, S. D.,& Onjia, A.. (2006). Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis. in Journal of Environmental Radioactivity
Elsevier Sci Ltd, Oxford., 89(2), 150-158.
https://doi.org/10.1016/j.jenvrad.2006.05.002
Dragović SD, Onjia A. Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis. in Journal of Environmental Radioactivity. 2006;89(2):150-158.
doi:10.1016/j.jenvrad.2006.05.002 .
Dragović, Snežana D., Onjia, Antonije, "Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis" in Journal of Environmental Radioactivity, 89, no. 2 (2006):150-158,
https://doi.org/10.1016/j.jenvrad.2006.05.002 . .
69
58
72

Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry

Dragović, Snežana; Onjia, Antonije; Bacić, Goran

(Elsevier, Amsterdam, 2006)

TY  - JOUR
AU  - Dragović, Snežana
AU  - Onjia, Antonije
AU  - Bacić, Goran
PY  - 2006
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/970
AB  - A three-layer feed-forward artificial neural network (ANN) with a back-propagation learning algorithm was used to predict the minimum detectable activity (AD) of radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137 and Be-7) in environmental soil samples as a function of measurement time. The ANN parameters (learning rate, momentum, number of epochs, and the number of nodes in the hidden layer) were optimized simultaneously employing a variable-size simplex method. The optimized ANN model revealed satisfactory predictions, with correlation coefficients between experimental and predicted values 0.9517 for 232 Th (sample with U-238/Th-232 ratio of 1.14) to 0.9995 for K-40 (sample with U-238/Th-232 ratio of 0.43). Neither the differences between the measured and the predicted A(D) values nor the correlation coefficients were influenced by the absolute values of AD for the investigated radionuclides.
PB  - Elsevier, Amsterdam
T2  - Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And
T1  - Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry
EP  - 314
IS  - 1
SP  - 308
VL  - 564
DO  - 10.1016/j.nima.2006.03.047
ER  - 
@article{
author = "Dragović, Snežana and Onjia, Antonije and Bacić, Goran",
year = "2006",
abstract = "A three-layer feed-forward artificial neural network (ANN) with a back-propagation learning algorithm was used to predict the minimum detectable activity (AD) of radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137 and Be-7) in environmental soil samples as a function of measurement time. The ANN parameters (learning rate, momentum, number of epochs, and the number of nodes in the hidden layer) were optimized simultaneously employing a variable-size simplex method. The optimized ANN model revealed satisfactory predictions, with correlation coefficients between experimental and predicted values 0.9517 for 232 Th (sample with U-238/Th-232 ratio of 1.14) to 0.9995 for K-40 (sample with U-238/Th-232 ratio of 0.43). Neither the differences between the measured and the predicted A(D) values nor the correlation coefficients were influenced by the absolute values of AD for the investigated radionuclides.",
publisher = "Elsevier, Amsterdam",
journal = "Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And",
title = "Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry",
pages = "314-308",
number = "1",
volume = "564",
doi = "10.1016/j.nima.2006.03.047"
}
Dragović, S., Onjia, A.,& Bacić, G.. (2006). Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry. in Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And
Elsevier, Amsterdam., 564(1), 308-314.
https://doi.org/10.1016/j.nima.2006.03.047
Dragović S, Onjia A, Bacić G. Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry. in Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And. 2006;564(1):308-314.
doi:10.1016/j.nima.2006.03.047 .
Dragović, Snežana, Onjia, Antonije, Bacić, Goran, "Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry" in Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And, 564, no. 1 (2006):308-314,
https://doi.org/10.1016/j.nima.2006.03.047 . .
12
12
18

Distribution of primordial radionuclides in surface soils from Serbia and Montenegro

Dragović, Snežana D.; Janković-Mandić, Ljiljana; Onjia, Antonije; Bacić, G

(Pergamon-Elsevier Science Ltd, Oxford, 2006)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Janković-Mandić, Ljiljana
AU  - Onjia, Antonije
AU  - Bacić, G
PY  - 2006
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/937
AB  - The specific activities of primordial radionuclides in soil samples from 21 different locations in Serbia and Montenegro were determined by gamma-ray spectrometry. The results obtained were compared with those from other studies conducted worldwide. Concentrations of radionuclides in soils analyzed in this study ranged from 1.28 to 4.80 ppm for uranium, from 5.26 to 19.0 ppm for thorium, and from 0.97% to 2.87% for potassium. The mean concentrations of U (2.76 ppm) and Th (10.4 ppm) are similar to the world average (2.64 and 11.1 ppm for U and Th, respectively), whereas the mean concentration of K (1.98%) is about 1.4 times higher than world average value (1.37%).
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Radiation Measurements
T1  - Distribution of primordial radionuclides in surface soils from Serbia and Montenegro
EP  - 616
IS  - 5
SP  - 611
VL  - 41
DO  - 10.1016/j.radmeas.2006.03.007
ER  - 
@article{
author = "Dragović, Snežana D. and Janković-Mandić, Ljiljana and Onjia, Antonije and Bacić, G",
year = "2006",
abstract = "The specific activities of primordial radionuclides in soil samples from 21 different locations in Serbia and Montenegro were determined by gamma-ray spectrometry. The results obtained were compared with those from other studies conducted worldwide. Concentrations of radionuclides in soils analyzed in this study ranged from 1.28 to 4.80 ppm for uranium, from 5.26 to 19.0 ppm for thorium, and from 0.97% to 2.87% for potassium. The mean concentrations of U (2.76 ppm) and Th (10.4 ppm) are similar to the world average (2.64 and 11.1 ppm for U and Th, respectively), whereas the mean concentration of K (1.98%) is about 1.4 times higher than world average value (1.37%).",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Radiation Measurements",
title = "Distribution of primordial radionuclides in surface soils from Serbia and Montenegro",
pages = "616-611",
number = "5",
volume = "41",
doi = "10.1016/j.radmeas.2006.03.007"
}
Dragović, S. D., Janković-Mandić, L., Onjia, A.,& Bacić, G.. (2006). Distribution of primordial radionuclides in surface soils from Serbia and Montenegro. in Radiation Measurements
Pergamon-Elsevier Science Ltd, Oxford., 41(5), 611-616.
https://doi.org/10.1016/j.radmeas.2006.03.007
Dragović SD, Janković-Mandić L, Onjia A, Bacić G. Distribution of primordial radionuclides in surface soils from Serbia and Montenegro. in Radiation Measurements. 2006;41(5):611-616.
doi:10.1016/j.radmeas.2006.03.007 .
Dragović, Snežana D., Janković-Mandić, Ljiljana, Onjia, Antonije, Bacić, G, "Distribution of primordial radionuclides in surface soils from Serbia and Montenegro" in Radiation Measurements, 41, no. 5 (2006):611-616,
https://doi.org/10.1016/j.radmeas.2006.03.007 . .
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43

Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network

Dragović, Snežana D.; Onjia, Antonije

(Pergamon-Elsevier Science Ltd, Oxford, 2005)

TY  - JOUR
AU  - Dragović, Snežana D.
AU  - Onjia, Antonije
PY  - 2005
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/853
AB  - An artificial neural network (ANN) model was used for the prediction of peak-to-background ratio (PBR) as a function of measurement time in gamma-ray spectrometry. In order to make the ANN model with good predictive power, the ANN parameters were optimized simultaneously employing a variable-size simplex method. Most of the predicted and the experimental PBR values for eight radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137, and Be-7) commonly detected in soil samples agreed to within +/- 19.4% of the expanded uncertainty and 2.61% of average bias.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Applied Radiation and Isotopes
T1  - Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network
EP  - 366
IS  - 3
SP  - 363
VL  - 63
DO  - 10.1016/j.apradiso.2005.03.009
ER  - 
@article{
author = "Dragović, Snežana D. and Onjia, Antonije",
year = "2005",
abstract = "An artificial neural network (ANN) model was used for the prediction of peak-to-background ratio (PBR) as a function of measurement time in gamma-ray spectrometry. In order to make the ANN model with good predictive power, the ANN parameters were optimized simultaneously employing a variable-size simplex method. Most of the predicted and the experimental PBR values for eight radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, Cs-137, and Be-7) commonly detected in soil samples agreed to within +/- 19.4% of the expanded uncertainty and 2.61% of average bias.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Applied Radiation and Isotopes",
title = "Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network",
pages = "366-363",
number = "3",
volume = "63",
doi = "10.1016/j.apradiso.2005.03.009"
}
Dragović, S. D.,& Onjia, A.. (2005). Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network. in Applied Radiation and Isotopes
Pergamon-Elsevier Science Ltd, Oxford., 63(3), 363-366.
https://doi.org/10.1016/j.apradiso.2005.03.009
Dragović SD, Onjia A. Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network. in Applied Radiation and Isotopes. 2005;63(3):363-366.
doi:10.1016/j.apradiso.2005.03.009 .
Dragović, Snežana D., Onjia, Antonije, "Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network" in Applied Radiation and Isotopes, 63, no. 3 (2005):363-366,
https://doi.org/10.1016/j.apradiso.2005.03.009 . .
12
14
18