Prediction of the impact of land use and soil type on concentrations of heavy metals and phthalates in soil based on model simulation
Аутори
Stojić, NatašaPezo, Lato
Lončar, Biljana
Pucarević, Mira
Filipović, Vladimir
Prokić, Dunja
Ćurčić, Ljiljana
Štrbac, 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 (r2) 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.
Кључне речи:
soil / impact / pollution / heavy metals / phthalates / ICP-OES / mathematical modellingИзвор:
Toxics, 2023, 11, 3Издавач:
- Basel : MDPI
Финансирање / пројекти:
- European Union's Horizon Europe Project GREENLand - Twinning Microplastic-free Environment under Grant Agreement 101079267
- Provincial Secretariat for Urbanism and Environmental Protection
- info:eu-repo/grantAgreement/MESTD/inst-2020/200126/RS/ (-)
Колекције
Институција/група
Fakultet zaštite životne sredineTY - JOUR AU - Stojić, Nataša AU - Pezo, Lato AU - Lončar, Biljana AU - Pucarević, Mira AU - Filipović, Vladimir AU - Prokić, Dunja AU - Ćurčić, Ljiljana AU - Štrbac, Snežana PY - 2023 UR - https://redun.educons.edu.rs/handle/123456789/526 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 (r2) 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 - Basel : MDPI 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 ER -
@article{ author = "Stojić, Nataša and Pezo, Lato and Lončar, Biljana and Pucarević, Mira and Filipović, Vladimir and Prokić, Dunja and Ćurčić, Ljiljana and Štrbac, 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 (r2) 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 = "Basel : MDPI", 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" }
Stojić, N., Pezo, L., Lončar, B., Pucarević, M., Filipović, V., Prokić, D., Ćurčić, L.,& Štrbac, 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 Basel : MDPI., 11(3). https://doi.org/10.3390/toxics11030269
Stojić N, Pezo L, Lončar B, Pucarević M, Filipović V, Prokić D, Ćurčić L, Štrbac 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 .
Stojić, Nataša, Pezo, Lato, Lončar, Biljana, Pucarević, Mira, Filipović, Vladimir, Prokić, Dunja, Ćurčić, Ljiljana, Štrbac, 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 . .