Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation
2023
Аутори
Stojić, NatašaPezo, Lato
Lončar, Biljana
Pucarević, Mira
Filipović, Vladimir
Prokić, Dunja
Ćurčić, Ljiljana
Strbac, Snežana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The main objective of this study is to determine the possibility of predicting the impact of land use and soil type on concentrations of heavy metals (HMs) and phthalates (PAEs) in soil based on an artificial neural network model (ANN). Qualitative analysis of HMs was performed with inductively coupled plasma-optical emission spectrometry (ICP/OES) and Direct Mercury Analyzer. Determination of PAEs was performed with gas chromatography (GC) coupled with a single quadrupole mass spectrometry (MS). An ANN, based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). Th...e results of this study indicate that HM and PAE concentrations, based on land use and soil type, can be predicted using ANN.
Кључне речи:
soil / pollution / phthalates / mathematical modelling / impact / ICP-OES / heavy metalsИзвор:
Toxics, 2023, 11, 3Издавач:
- MDPI AG
Финансирање / пројекти:
- European Union [101079267]
- Provincial Secretariat for Urbanism and Environmental Protection
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200026 (Универзитет у Београду, Институт за хемију, технологију и металургију - ИХТМ) (RS-MESTD-inst-2020-200026)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200051 (Институт за општу и физичку хемију, Београд) (RS-MESTD-inst-2020-200051)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200134 (Универзитет у Новом Саду, Технолошки факултет) (RS-MESTD-inst-2020-200134)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200126 (Универзитет у Београду, Рударско-геолошки факултет) (RS-MESTD-inst-2020-200126)
DOI: 10.3390/toxics11030269
ISSN: 2305-6304
PubMed: 36977034
WoS: 000959199800001
Scopus: 2-s2.0-85151386287
Институција/група
Institut za opštu i fizičku hemijuTY - JOUR AU - Stojić, Nataša AU - Pezo, Lato AU - Lončar, Biljana AU - Pucarević, Mira AU - Filipović, Vladimir AU - Prokić, Dunja AU - Ćurčić, Ljiljana AU - Strbac, Snežana PY - 2023 UR - https://riofh.iofh.bg.ac.rs/handle/123456789/985 AB - The main objective of this study is to determine the possibility of predicting the impact of land use and soil type on concentrations of heavy metals (HMs) and phthalates (PAEs) in soil based on an artificial neural network model (ANN). Qualitative analysis of HMs was performed with inductively coupled plasma-optical emission spectrometry (ICP/OES) and Direct Mercury Analyzer. Determination of PAEs was performed with gas chromatography (GC) coupled with a single quadrupole mass spectrometry (MS). An ANN, based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). The results of this study indicate that HM and PAE concentrations, based on land use and soil type, can be predicted using ANN. PB - MDPI AG T2 - Toxics T1 - Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation IS - 3 VL - 11 DO - 10.3390/toxics11030269 UR - conv_1093 ER -
@article{ author = "Stojić, Nataša and Pezo, Lato and Lončar, Biljana and Pucarević, Mira and Filipović, Vladimir and Prokić, Dunja and Ćurčić, Ljiljana and Strbac, Snežana", year = "2023", abstract = "The main objective of this study is to determine the possibility of predicting the impact of land use and soil type on concentrations of heavy metals (HMs) and phthalates (PAEs) in soil based on an artificial neural network model (ANN). Qualitative analysis of HMs was performed with inductively coupled plasma-optical emission spectrometry (ICP/OES) and Direct Mercury Analyzer. Determination of PAEs was performed with gas chromatography (GC) coupled with a single quadrupole mass spectrometry (MS). An ANN, based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). The results of this study indicate that HM and PAE concentrations, based on land use and soil type, can be predicted using ANN.", publisher = "MDPI AG", journal = "Toxics", title = "Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation", number = "3", volume = "11", doi = "10.3390/toxics11030269", url = "conv_1093" }
Stojić, N., Pezo, L., Lončar, B., Pucarević, M., Filipović, V., Prokić, D., Ćurčić, L.,& Strbac, S.. (2023). Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation. in Toxics MDPI AG., 11(3). https://doi.org/10.3390/toxics11030269 conv_1093
Stojić N, Pezo L, Lončar B, Pucarević M, Filipović V, Prokić D, Ćurčić L, Strbac S. Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation. in Toxics. 2023;11(3). doi:10.3390/toxics11030269 conv_1093 .
Stojić, Nataša, Pezo, Lato, Lončar, Biljana, Pucarević, Mira, Filipović, Vladimir, Prokić, Dunja, Ćurčić, Ljiljana, Strbac, Snežana, "Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation" in Toxics, 11, no. 3 (2023), https://doi.org/10.3390/toxics11030269 ., conv_1093 .