Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps
Само за регистроване кориснике
2018
Аутори
Zarić, Nenad M.Deljanin, Isidora
Ilijević, Konstantin
Stanisavljević, Ljubiša
Ristić, Mirjana
Gržetić, Ivan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this study, honeybees were used to determine spatio-temporal variations and origin sources of Pb. Lead concentrations and isotopic composition were used in combination with selected statistical methods. The sampling was carried out at five different locations in Serbia: urban region (BG), petrochemical industry (PA), suburban region (PV), rural region (MS) and thermal power plant region (TPP) during 2014. At PA and PV locations, samples were taken during multiple years. This is the first use of Kohonen self-organizing map (SOM) in combination with honeybees as bioindicators to determine spatio-temporal variations and origin of Pb pollution. It was observed that during the years Pb concentrations were in decline. Anthropogenic sources are most dominant in BG and TPP, in PA there are mixed sources of natural and anthropogenic origin and in PV Pb is of natural origin. It can be concluded that honeybees in combination with SOM can be used to differentiate between slight changes in spati...o-temporal variations of Pb, as well as for source appointment.
Кључне речи:
Honeybees / Biomonitoring / Lead isotope / SOMИзвор:
Science of the Total Environment, 2018, 642, 56-62Издавач:
- Elsevier, Amsterdam
Финансирање / пројекти:
- Геохемијска испитивања седиментних стена - фосилна горива и загађивачи животне средине (RS-MESTD-Basic Research (BR or ON)-176006)
- Развој и примена метода и материјала за мониторинг нових загађујућих и токсичних органских материја и тешких метала (RS-MESTD-Basic Research (BR or ON)-172007)
DOI: 10.1016/j.scitotenv.2018.06.040
ISSN: 0048-9697
PubMed: 29894882
WoS: 000439405600006
Scopus: 2-s2.0-85048172475
Институција/група
Tehnološko-metalurški fakultetTY - JOUR AU - Zarić, Nenad M. AU - Deljanin, Isidora AU - Ilijević, Konstantin AU - Stanisavljević, Ljubiša AU - Ristić, Mirjana AU - Gržetić, Ivan PY - 2018 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3887 AB - In this study, honeybees were used to determine spatio-temporal variations and origin sources of Pb. Lead concentrations and isotopic composition were used in combination with selected statistical methods. The sampling was carried out at five different locations in Serbia: urban region (BG), petrochemical industry (PA), suburban region (PV), rural region (MS) and thermal power plant region (TPP) during 2014. At PA and PV locations, samples were taken during multiple years. This is the first use of Kohonen self-organizing map (SOM) in combination with honeybees as bioindicators to determine spatio-temporal variations and origin of Pb pollution. It was observed that during the years Pb concentrations were in decline. Anthropogenic sources are most dominant in BG and TPP, in PA there are mixed sources of natural and anthropogenic origin and in PV Pb is of natural origin. It can be concluded that honeybees in combination with SOM can be used to differentiate between slight changes in spatio-temporal variations of Pb, as well as for source appointment. PB - Elsevier, Amsterdam T2 - Science of the Total Environment T1 - Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps EP - 62 SP - 56 VL - 642 DO - 10.1016/j.scitotenv.2018.06.040 ER -
@article{ author = "Zarić, Nenad M. and Deljanin, Isidora and Ilijević, Konstantin and Stanisavljević, Ljubiša and Ristić, Mirjana and Gržetić, Ivan", year = "2018", abstract = "In this study, honeybees were used to determine spatio-temporal variations and origin sources of Pb. Lead concentrations and isotopic composition were used in combination with selected statistical methods. The sampling was carried out at five different locations in Serbia: urban region (BG), petrochemical industry (PA), suburban region (PV), rural region (MS) and thermal power plant region (TPP) during 2014. At PA and PV locations, samples were taken during multiple years. This is the first use of Kohonen self-organizing map (SOM) in combination with honeybees as bioindicators to determine spatio-temporal variations and origin of Pb pollution. It was observed that during the years Pb concentrations were in decline. Anthropogenic sources are most dominant in BG and TPP, in PA there are mixed sources of natural and anthropogenic origin and in PV Pb is of natural origin. It can be concluded that honeybees in combination with SOM can be used to differentiate between slight changes in spatio-temporal variations of Pb, as well as for source appointment.", publisher = "Elsevier, Amsterdam", journal = "Science of the Total Environment", title = "Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps", pages = "62-56", volume = "642", doi = "10.1016/j.scitotenv.2018.06.040" }
Zarić, N. M., Deljanin, I., Ilijević, K., Stanisavljević, L., Ristić, M.,& Gržetić, I.. (2018). Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps. in Science of the Total Environment Elsevier, Amsterdam., 642, 56-62. https://doi.org/10.1016/j.scitotenv.2018.06.040
Zarić NM, Deljanin I, Ilijević K, Stanisavljević L, Ristić M, Gržetić I. Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps. in Science of the Total Environment. 2018;642:56-62. doi:10.1016/j.scitotenv.2018.06.040 .
Zarić, Nenad M., Deljanin, Isidora, Ilijević, Konstantin, Stanisavljević, Ljubiša, Ristić, Mirjana, Gržetić, Ivan, "Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps" in Science of the Total Environment, 642 (2018):56-62, https://doi.org/10.1016/j.scitotenv.2018.06.040 . .