Govedarica, Olga M.

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orcid::0000-0003-2665-5577
  • Govedarica, Olga M. (1)
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Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution

Govedarica, Dragan D.; Gavrilov, Milivoj B.; Zeremski, Tijana; Govedarica, Olga M.; Hambach, Ulrich; Tomić, Nemanja A.; Sentić, Ivana; Marković, Slobodan B.

(Pergamon-Elsevier Science Ltd, Oxford, 2019)

TY  - JOUR
AU  - Govedarica, Dragan D.
AU  - Gavrilov, Milivoj B.
AU  - Zeremski, Tijana
AU  - Govedarica, Olga M.
AU  - Hambach, Ulrich
AU  - Tomić, Nemanja A.
AU  - Sentić, Ivana
AU  - Marković, Slobodan B.
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/1920
AB  - The vertical and horizontal contamination profile of the loess sediments located in the vicinity of the highway Novi Sad-Belgrade, with the intense frequency of vehicles, has been assessed. The heavy metal content (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) and hydrocarbon content were determined for the samples collected from two loess profiles in broad ranges of depth (0.15-4.50 m at 0.15 m intervals) and horizontally deeper in the sediment (0.01, 0.05 and 0.10 m). For all loess samples the contents of heavy metals were lower than the remediation intervention values. Hydrocarbon content in all analyzed sediment samples was below limit of quantification of 50 mg/kg. Magnetic susceptibility of the samples revealed the occurrence of one weak paleosol in one loess profile as well as the anthropogenic loess like deposits in the upper part of the second profile. The polynomial regression was successfully applied to estimate relationship between magnetic susceptibility of the loess and heavy metal content, total organic carbon and grain-size distribution. The developed second order equations are a responsive method with the calculated multiple R higher than 94%. The proposed statistical approach greatly simplifies the analysis of loess profile as a record of pollution, and it may serve to estimate the extremely high values of magnetic susceptibility influenced by small increase in heavy metal content, total organic carbon and grain size distribution.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Quaternary International
T1  - Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution
EP  - 159
SP  - 148
VL  - 502
DO  - 10.1016/j.quaint.2018.01.020
ER  - 
@article{
author = "Govedarica, Dragan D. and Gavrilov, Milivoj B. and Zeremski, Tijana and Govedarica, Olga M. and Hambach, Ulrich and Tomić, Nemanja A. and Sentić, Ivana and Marković, Slobodan B.",
year = "2019",
abstract = "The vertical and horizontal contamination profile of the loess sediments located in the vicinity of the highway Novi Sad-Belgrade, with the intense frequency of vehicles, has been assessed. The heavy metal content (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) and hydrocarbon content were determined for the samples collected from two loess profiles in broad ranges of depth (0.15-4.50 m at 0.15 m intervals) and horizontally deeper in the sediment (0.01, 0.05 and 0.10 m). For all loess samples the contents of heavy metals were lower than the remediation intervention values. Hydrocarbon content in all analyzed sediment samples was below limit of quantification of 50 mg/kg. Magnetic susceptibility of the samples revealed the occurrence of one weak paleosol in one loess profile as well as the anthropogenic loess like deposits in the upper part of the second profile. The polynomial regression was successfully applied to estimate relationship between magnetic susceptibility of the loess and heavy metal content, total organic carbon and grain-size distribution. The developed second order equations are a responsive method with the calculated multiple R higher than 94%. The proposed statistical approach greatly simplifies the analysis of loess profile as a record of pollution, and it may serve to estimate the extremely high values of magnetic susceptibility influenced by small increase in heavy metal content, total organic carbon and grain size distribution.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Quaternary International",
title = "Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution",
pages = "159-148",
volume = "502",
doi = "10.1016/j.quaint.2018.01.020"
}
Govedarica, D. D., Gavrilov, M. B., Zeremski, T., Govedarica, O. M., Hambach, U., Tomić, N. A., Sentić, I.,& Marković, S. B.. (2019). Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution. in Quaternary International
Pergamon-Elsevier Science Ltd, Oxford., 502, 148-159.
https://doi.org/10.1016/j.quaint.2018.01.020
Govedarica DD, Gavrilov MB, Zeremski T, Govedarica OM, Hambach U, Tomić NA, Sentić I, Marković SB. Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution. in Quaternary International. 2019;502:148-159.
doi:10.1016/j.quaint.2018.01.020 .
Govedarica, Dragan D., Gavrilov, Milivoj B., Zeremski, Tijana, Govedarica, Olga M., Hambach, Ulrich, Tomić, Nemanja A., Sentić, Ivana, Marković, Slobodan B., "Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution" in Quaternary International, 502 (2019):148-159,
https://doi.org/10.1016/j.quaint.2018.01.020 . .
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