TY  - JOUR
T1  - Mathematical Modeling of Ecotoxicant Behavior in “Soil–Vegetation Cover” Systems
A1  - Bekmyrza Zhumash
A1  - Aliya Yskak
A1  - Sergey Mamikhin
A1  - Denis Lipatov
A1  - Almabek Nugmanov
A1  - Dmitry Manakhov
A1  - Gulnaz Yermoldina
A1  - Seitbek Kuanyshbayev
A1  - Moldir Uxikbayeva
A1  - Zhassulan Irzhanov
A1  - Akhmet Bugubaev
A1  - Aruzhan Nurseitova
A1  - Petr Lyanga
A1  - Zayna Zhussupbekova
JF  - World Journal of Environmental Biosciences
JO  - World J Environ Biosci
SN  - 2277-8047
Y1  - 2026
VL  - 15
IS  - 2
DO  - 10.51847/jD6qNlerMh
SP  - 121
EP  - 129
N2  - Technogenic contamination of soils and vegetation by radionuclides, heavy metals, pesticides, and other ecotoxicants requires reliable tools for assessing pollutant redistribution and forecasting environmental risks. This study examines mathematical modeling approaches for describing ecotoxicant behavior in soil–plant systems and identifies the principal processes that should be incorporated into simulation algorithms, including vertical and lateral migration, transformation between physicochemical forms, fixation in soil, root uptake, biological redistribution, degradation, and removal from the system. Existing mathematical models of pollutant migration and bioavailability are analyzed to define general principles for model development and parameterization. Particular attention is given to low-parameter modeling as an approach suitable for situations where complete experimental datasets are unavailable. Based on the previously developed VERT_MIG and 3Dmig_mod_aut algorithms, the 3Dsoil_plants algorithm is proposed for simulating the spatiotemporal dynamics of ecotoxicants in soil–plant systems. The model represents soil as interconnected spatial cells and accounts for both vertical and horizontal pollutant transfer, as well as interactions with vegetation. Models based on this algorithm were implemented in the cross-platform QB64 environment, enabling their use as standalone software under Windows, Linux, and macOS. The proposed approach provides a flexible framework for forecasting ecotoxicant redistribution under spatially heterogeneous contamination conditions.
UR  - https://environmentaljournals.org/article/mathematical-modeling-of-ecotoxicant-behavior-in-soilvegetation-cover-systems-wdjav3pymrflad4
ER  -