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Modelling heavy metals transformation in vertical flow constructed wetlands

机译:模拟垂直流人工湿地中的重金属转化

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摘要

Constructed wetlands are dynamic ecosystems for which we generally have poor predictive capabilities of the succession relationships between the interdependent components and the processes. In this study, a dynamic simulation model that can evaluate the transport and fate of heavy metals in vertical flow constructed wetland systems was developed using a dynamic software program: Structural Thinking Experiential Learning Laboratory with Animation (STELLA) v9.0.2. The key heavy metals transformation processes considered in the study were adsorption and plant uptake; whilst the forcing functions considered were wastewater volume, temperature, heavy metals concentration, contact time, flow rate and adsorbent media. The model results indicate that up to 89%, 91% and 91% of Pb, Cr and Cd respectively, can be removed through adsorption process; whereas uptake by plants was 6%, 5.1% and 5.2% based on mass balance calculations. Sensitivity analysis also showed that the most sensitive areas in the model coincide with the adsorption parameter (the heterogeneity factor (n) and the Freundlich constant (Kf)). The results obtained indicates that the model can be used to simulate outflow heavy metal concentrations, and it can also be used to estimate the amount of heavy metal removed by individual processes in the system.
机译:人工湿地是动态的生态系统,对于这些生态系统,我们通常对相互依赖的组件和过程之间的继承关系的预测能力较差。在这项研究中,使用动态软件程序开发了一种动态仿真模型,该模型可以评估垂直流人工湿地系统中重金属的迁移和归宿:带有动画的结构思维体验式学习实验室(STELLA)v9.0.2。研究中考虑的关键重金属转化过程是吸附和植物吸收。而考虑的强迫函数是废水量,温度,重金属浓度,接触时间,流速和吸附介质。模型结果表明,吸附过程可以分别去除高达89%,91%和91%的Pb,Cr和Cd。根据质量平衡计算,植物的吸收量分别为6%,5.1%和5.2%。敏感性分析还表明,模型中最敏感的区域与吸附参数(异质性因子(n)和Freundlich常数(Kf))一致。获得的结果表明,该模型可用于模拟流出的重金属浓度,也可用于估算系统中各个过程除去的重金属量。

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