Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach
Samo za registrovane korisnike
2016
Autori
Marković, JelenaJović, Mihajlo D.
Smičiklas, Ivana D.
Pezo, Lato
Šljivić-Ivanović, Marija Z.
Onjia, Antonije E.
Popović, Aleksandar R.
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
The distribution of elements in soil fractions affects their mobility and availability and thus their potential beneficial or harmful impact on ecosystems, biota and humans. Different mineralogical and chemical characteristics of soil influence elemental distribution. In the present study, chemical speciation of macro and micro elements (Al, Fe, Mn, K, Cd, Cr, Cu, Li, Ba, Ni, Pb and Zn) in unpolluted soils of different types, collected from the territory of the Republic of Serbia, were analysed by sequential extraction procedure. The impact of the physicochemical soil properties on the content, distribution, mobility and availability of elements was investigated. Principal component analysis was employed for the evaluation and characterization of the experimental data, understanding of the relationships between soil properties and the distribution, affiliation and connection of the elements. Finally, an artificial neural network (ANN) model was developed to explore the applicability of... this approach for the prediction of the elemental distribution based on soil properties. Good agreement between the model and the experimental results implied that the ANN could be considered as a useful tool for control and prediction purposes. (C) 2016 Elsevier B.V. All rights reserved.
Ključne reči:
Uncontaminated soil / Soil properties / Sequential extraction / Element distribution / Pattern recognition techniques / Artificial neural networkIzvor:
Journal of Geochemical Exploration, 2016, 165, 71-80Izdavač:
- Elsevier Science Bv, Amsterdam
Finansiranje / projekti:
- Nove tehnologije za monitoring i zaštitu životnog okruženja od štetnih hemijskih supstanci i radijacionog opterećenja (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43009)
Napomena:
- Peer-reviewed manuscript: http://cherry.chem.bg.ac.rs/handle/123456789/3400
DOI: 10.1016/j.gexplo.2016.03.004
ISSN: 0375-6742
WoS: 000375515000007
Scopus: 2-s2.0-84960088318
Kolekcije
Institucija/grupa
Hemijski fakultet / Faculty of ChemistryTY - JOUR AU - Marković, Jelena AU - Jović, Mihajlo D. AU - Smičiklas, Ivana D. AU - Pezo, Lato AU - Šljivić-Ivanović, Marija Z. AU - Onjia, Antonije E. AU - Popović, Aleksandar R. PY - 2016 UR - https://cherry.chem.bg.ac.rs/handle/123456789/1932 AB - The distribution of elements in soil fractions affects their mobility and availability and thus their potential beneficial or harmful impact on ecosystems, biota and humans. Different mineralogical and chemical characteristics of soil influence elemental distribution. In the present study, chemical speciation of macro and micro elements (Al, Fe, Mn, K, Cd, Cr, Cu, Li, Ba, Ni, Pb and Zn) in unpolluted soils of different types, collected from the territory of the Republic of Serbia, were analysed by sequential extraction procedure. The impact of the physicochemical soil properties on the content, distribution, mobility and availability of elements was investigated. Principal component analysis was employed for the evaluation and characterization of the experimental data, understanding of the relationships between soil properties and the distribution, affiliation and connection of the elements. Finally, an artificial neural network (ANN) model was developed to explore the applicability of this approach for the prediction of the elemental distribution based on soil properties. Good agreement between the model and the experimental results implied that the ANN could be considered as a useful tool for control and prediction purposes. (C) 2016 Elsevier B.V. All rights reserved. PB - Elsevier Science Bv, Amsterdam T2 - Journal of Geochemical Exploration T1 - Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach VL - 165 SP - 71 EP - 80 DO - 10.1016/j.gexplo.2016.03.004 ER -
@article{ author = "Marković, Jelena and Jović, Mihajlo D. and Smičiklas, Ivana D. and Pezo, Lato and Šljivić-Ivanović, Marija Z. and Onjia, Antonije E. and Popović, Aleksandar R.", year = "2016", abstract = "The distribution of elements in soil fractions affects their mobility and availability and thus their potential beneficial or harmful impact on ecosystems, biota and humans. Different mineralogical and chemical characteristics of soil influence elemental distribution. In the present study, chemical speciation of macro and micro elements (Al, Fe, Mn, K, Cd, Cr, Cu, Li, Ba, Ni, Pb and Zn) in unpolluted soils of different types, collected from the territory of the Republic of Serbia, were analysed by sequential extraction procedure. The impact of the physicochemical soil properties on the content, distribution, mobility and availability of elements was investigated. Principal component analysis was employed for the evaluation and characterization of the experimental data, understanding of the relationships between soil properties and the distribution, affiliation and connection of the elements. Finally, an artificial neural network (ANN) model was developed to explore the applicability of this approach for the prediction of the elemental distribution based on soil properties. Good agreement between the model and the experimental results implied that the ANN could be considered as a useful tool for control and prediction purposes. (C) 2016 Elsevier B.V. All rights reserved.", publisher = "Elsevier Science Bv, Amsterdam", journal = "Journal of Geochemical Exploration", title = "Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach", volume = "165", pages = "71-80", doi = "10.1016/j.gexplo.2016.03.004" }
Marković, J., Jović, M. D., Smičiklas, I. D., Pezo, L., Šljivić-Ivanović, M. Z., Onjia, A. E.,& Popović, A. R.. (2016). Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach. in Journal of Geochemical Exploration Elsevier Science Bv, Amsterdam., 165, 71-80. https://doi.org/10.1016/j.gexplo.2016.03.004
Marković J, Jović MD, Smičiklas ID, Pezo L, Šljivić-Ivanović MZ, Onjia AE, Popović AR. Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach. in Journal of Geochemical Exploration. 2016;165:71-80. doi:10.1016/j.gexplo.2016.03.004 .
Marković, Jelena, Jović, Mihajlo D., Smičiklas, Ivana D., Pezo, Lato, Šljivić-Ivanović, Marija Z., Onjia, Antonije E., Popović, Aleksandar R., "Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach" in Journal of Geochemical Exploration, 165 (2016):71-80, https://doi.org/10.1016/j.gexplo.2016.03.004 . .