Numerical Modeling of Chemical Compounds’ Fate and Kinetics in Living Organisms: An Inverse Numerical Method for Rate Estimation from Concentration

K. Dalma, Kovacs Melinda Haydee
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Abstract

Emerging chemical compounds are ubiquitous in all environmental compartments and may pose a risk to biota ecosystems. The quantification and prediction of environmental partitioning of these chemicals in various environmental compartment systems (water, sediments, soil, air, biota) is an important step in the comprehensive assessment of their sources, fates, and not finally of their uptake potential by various living organisms of ecosystems. Any numerical solution that has as a final goal “prediction” requires a large number of experimental data. In case of environmental studies of chemical compounds, monitoring most studies is costly, time-consuming, and requires both qualified personnel and high- precision equipment. Finding a suitable numerical model that could predict the fate of chemicals could be extremely useful, facilitating those environmental scientists, users, managers, authorities, and corresponding decision-makers for a more conscious use of these substances, thus protecting the environment and biota. Considering the mentioned disadvantages regarding chemical compounds’ monitoring, the aim of this research is to find numerical solutions that enable the prediction of such chemical compounds’ fate under different environmental compartments and the uptake potential by living organisms as plants. The concept of the inverse numerical method was used in order to find chemical compounds’ rate of accumulation in various environ- mental matrixes and potential uptake by living organisms, all starting from the chemical compounds’ concentrations.
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化合物在生物体中的命运和动力学的数值模拟:一种从浓度估计速率的反数值方法
新出现的化合物在所有环境隔间中无处不在,可能对生物群生态系统构成威胁。对这些化学物质在各种环境区隔系统(水、沉积物、土壤、空气、生物群)中的环境分配进行量化和预测,是全面评估它们的来源、命运,而不是最终评估生态系统中各种生物对它们的吸收潜力的重要步骤。任何以“预测”为最终目标的数值解都需要大量的实验数据。就化学化合物的环境研究而言,对大多数研究进行监测既昂贵又耗时,而且需要合格的人员和高精度的设备。找到一个可以预测化学品命运的合适的数值模型可能非常有用,有助于环境科学家、使用者、管理者、当局和相应的决策者更有意识地使用这些物质,从而保护环境和生物群。考虑到上述化合物监测的缺点,本研究的目的是找到能够预测这些化合物在不同环境区室下的命运和生物如植物的吸收潜力的数值解。利用逆数值法的概念,从化合物的浓度出发,求出化合物在各种环境基质中的积累速率和生物的潜在吸收量。
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