Mathematical Model to Simulate the Transfer of Heavy Metals from Soil to Plant
Autor: | P. Cârdei, Cătălina Tudora, Oana Diana Cristea, Despina-Maria Bordean, Valentin Vlăduț, D. Cujbescu, George Ipate, Nicoleta Ungureanu, I. Găgeanu, Mirabela Augustina Pruteanu |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Geography
Planning and Development 0211 other engineering and technologies TJ807-830 Lactuca 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources GE1-350 green lettuce 0105 earth and related environmental sciences 021110 strategic defence & security studies biology Mathematical model Environmental effects of industries and plants Renewable Energy Sustainability and the Environment fungi Environmental engineering food and beverages Cumulative effects Heavy metals Building and Construction Contamination biology.organism_classification Soil contamination Environmental sciences Phytoremediation Bioaccumulation Environmental science zinc bioaccumulation environment risks soil contamination |
Zdroj: | Sustainability, Vol 13, Iss 6157, p 6157 (2021) Sustainability Volume 13 Issue 11 |
ISSN: | 2071-1050 |
Popis: | Heavy metals are naturally occurring elements, but their various applications have led to their wide circulation in the environment, raising concerns over their latent effects on the environment and human health. Their toxicity depends on numerous factors, including chemical species, concentration of heavy metal ions, environmental factors, etc. Experimental studies on the single or cumulative effects of heavy metals on plants are complex, time consuming and difficult to conduct. An alternative is mathematical modeling, which can include different factors into an integrated system and can predict plant and environmental behavior under multiple stressors. This paper presents a mathematical model that simulates the dependence of temperature, concentration of Zn in the soil and the subsequent bioaccumulation in lettuce (Lactuca sativa L.) respectively, the reaction of lettuce to Zn contamination. The main results consist of three mathematical models, based on systems of ordinary differential equations and checking their predictions with available experimental data. The models are applied to predict an optimal harvest time of lettuce with low concentration of Zn, in identifying the availability of the analyzed species to phytoremediation operations and the possibility of maneuvering certain control factors to reduce or increase the intensity of the bioaccumulation process. |
Databáze: | OpenAIRE |
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