Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps
| Autor: | Isidora Deljanin, Ivan Gržetić, Konstantin Ilijević, Nenad M. Zarić, Ljubiša Stanisavljević, Mirjana Ristić |
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| Rok vydání: | 2018 |
| Předmět: |
Environmental Engineering
010504 meteorology & atmospheric sciences Lead pollution Environmental pollution 010501 environmental sciences 01 natural sciences Honeybees Isotopes Environmental monitoring Biomonitoring Animals Environmental Chemistry Waste Management and Disposal 0105 earth and related environmental sciences Stable isotope ratio Lead isotope Sampling (statistics) Kohonen self organizing map Bees SOM Pollution Lead 13. Climate action Environmental science Physical geography Environmental Pollution Serbia Bioindicator Environmental Monitoring |
| Zdroj: | Science of the Total Environment |
| ISSN: | 0048-9697 |
| DOI: | 10.1016/j.scitotenv.2018.06.040 |
| Popis: | 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. (C) 2018 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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