首页> 外文期刊>Journal of Environmental Science and Health. A, Toxic/Hazardous Substances & Environmental Engineering >Modeling organic matter and nitrogen removal from domestic wastewater in a pilot-scale vertical subsurface flow constructed wetland
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Modeling organic matter and nitrogen removal from domestic wastewater in a pilot-scale vertical subsurface flow constructed wetland

机译:模拟中试垂直地下流动人工湿地中生活污水中有机物和氮的去除

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Constructed wetlands have become an attractive alternative for wastewater treatment. However, there is not a globally accepted mathematical model to predict their performance. In this study, the VS2DTI software was used to predict the effluent biochemical oxygen demand (BOD) and total nitrogen (TN) in a pilot-scale vertical flow constructed wetland (VFCW) treating domestic wastewater. After a 5-week adaptation period, the pilot system was monitored for another 6weeks. Experiments were conducted at hydraulic retention times (HRTs) in the range of 2-4days with Typha latifolia as the vegetation. The raw wastewater concentrations ranged between 144-430 and 122-283mg L-1 for BOD5 and TN, respectively. A first-order kinetic model coupled with the advection/dispersion and Richards' equations was proposed to predict the removal rates of BOD5 and TN from domestic wastewater. Two main physical processes were modeled in this study, porous material water flow and solute transport through the different layers of the VFCW to simulate the constructed wetland (CW) conditions. The model was calibrated based on the BOD5 and TN degradation constants. The model indicated that most of BOD and TN (88 and 92%, respectively) were removed through biological activity followed by adsorption. It was also observed that the evapotranspiration was seen to have a smaller impact. An additional data series of effluent BOD and TN was used for model validation. The residual analysis of the calibrated model showed a relatively random pattern, indicating a decent fit. Thus, the VS2DTI was found to be a useful tool for CW simulation.
机译:人工湿地已成为废水处理的有吸引力的替代方法。但是,尚没有一个全球公认的数学模型来预测其性能。在这项研究中,VS2DTI软件用于预测中试规模垂直流人工湿地(VFCW)处理生活污水的废水生化需氧量(BOD)和总氮(TN)。经过5周的适应期后,又对试点系统进行了6周的监控。以香蒲(Yypha latifolia)为植被,在2-4天的水力停留时间(HRT)下进行了实验。 BOD5和TN的原废水浓度分别在144-430和122-283mg L-1之间。提出了结合对流/弥散和Richards方程的一阶动力学模型,以预测生活污水中BOD5和TN的去除率。在此研究中,对两个主要物理过程进行了建模,即多孔材料的水流和溶质通过VFCW的不同层的迁移,以模拟人工湿地(CW)的条件。基于BOD5和TN降解常数对模型进行了校准。该模型表明,大部分BOD和TN(分别为88%和92%)通过生物活性然后被吸附去除。还观察到蒸发蒸腾的影响较小。废水BOD和TN的其他数据系列用于模型验证。校准模型的残差分析显示出相对随机的模式,表明拟合得体。因此,发现VS2DTI是进行CW仿真的有用工具。

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