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Modeling cadmium accumulation in radish, carrot, spinach and cabbage

机译:模拟萝卜,胡萝卜,菠菜和卷心菜中镉的积累

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Heavy metals like cadmium and arsenic have serious health consequences and ecosystem impacts. Due to various factors including the disposal of municipal and industrial wastes, application of fertilizers, atmospheric deposition and discharge of wastewater on land, has resulted in increase in the concentration of heavy metals in the soil. Crops and vegetables grown on such soil accumulate heavy metals, which leads to phyto-toxicity. For understanding and managing precious natural resources, mathematical models are increasingly being used. This paper describes a dynamic macroscopic numerical model for heavy metal transport and its uptake by vegetables in the root zone. The model is applied for simulating cadmium uptake by radish (Raphanus sativus), carrot (Daucos carota), spinach (Spinacia oleracea) and cabbage (Brassica oleracea) by using measured field data. The governing non-linear partial differential equations are solved numerically by an implicit finite difference method using Picard's iterative technique and the source code is written in MATLAB.
机译:镉和砷等重金属对健康和生态系统造成严重影响。由于各种因素,包括城市和工业废物的处理,肥料的使用,大气沉降和土地上废水的排放,导致土壤中重金属的浓度增加。在这种土壤上生长的农作物和蔬菜会积累重金属,从而导致植物毒性。为了理解和管理宝贵的自然资源,越来越多地使用数学模型。本文描述了根部区域蔬菜中重金属迁移及其吸收的动态宏观数值模型。通过使用实测数据,该模型可用于模拟萝卜(Raphanus sativus),胡萝卜(Daucos carota),菠菜(Spinacia oleracea)和甘蓝(Brassica oleracea)对镉的吸收。运用Picard迭代技术,通过隐式有限差分法对控制的非线性偏微分方程进行数值求解,并将源代码用MATLAB编写。

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