地下人工湿地HRT分布的识别与建模

Lijuan Cui, Yan Zhang, Manyin Zhang, Wei Li, Xinsheng Zhao, Shengnan Li, Yifei Wang
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引用次数: 8

摘要

本研究对位于北京野生动物救助与康复中心的水平地下人工湿地(HSSF-CW)的水动力特性进行了研究。研究了鸢尾花植物生长对水动力特性的影响,并利用数学模型模拟了鸢尾花水动力停留时间的分布,以了解水体中污染物的波动和混合过程。通过比较不同污染物的面积去除率来评价HSSF-CW的处理性能。结果表明,水深对植物生长有负面影响,较大的水力加载率不利于湿地植物的生长。对停留时间分布的概率密度建模表明,与理论停留时间12.81小时相比,10.16小时的水力停留时间较短是污染物去除效率较低的原因(T-P: 0.17±0.04 g m(-2)天(-1),T-N: 1.10±0.05 g m(-2)天(-1),PO(4)-P: 0.08±0.04 g m(-2)天(-1),nh4 -N: 0.19±0.02 g m(-2)天(-1),NO(3)-N: 0.52±0.03 g m(-2)天(-1),Chl_a: 18.26±0.09 g m(-2)天(-1))。停留时间分布的叠加模拟结果表明,非对称双s型(asym2sig)模型能够在一定程度上提供实测值与预测值之间的合理匹配。基于非对称概率密度函数对实验数据集的良好拟合,数学期望近似于HSSF-CW的实际水力停留时间(10.16 h)。
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Identification and modelling the HRT distribution in subsurface constructed wetland.

This study focused on the identification of the hydrodynamics of a horizontal subsurface constructed wetland (HSSF-CW) located in Beijing wildlife rescue and rehabilitation center, Beijing. The effects of plant growth of iris tectorum on the hydrodynamic behaviours were studied and the distribution of the hydraulic residence time was simulated by several mathematical models in order to understand the fluctuations and mixing processes of pollutants in the HSSF-CW. Treatment performance of the HSSF-CW was evaluated by comparing the area-based removal rates of different pollutants. According to the results, water depth has a negative effect on the plant growth and a larger hydraulic loading rate is not conducive to the growth of wetland plants. Modelling the probability density of the residence time distribution indicated that the shorter hydraulic residence time of 10.16 hours compared with a theoretical hydraulic residence time of 12.81 hours was responsible for the lower removal efficiency of pollutants (T-P: 0.17 ± 0.04 g m(-2) day(-1), T-N: 1.10 ± 0.05 g m(-2) day(-1), PO(4)-P: 0.08 ± 0.04 g m(-2) day(-1), NH(4)-N: 0.19 ± 0.02 g m(-2) day(-1), NO(3)-N: 0.52 ± 0.03 g m(-2) day(-1), Chl_a: 18.26 ± 0.09 g m(-2) day(-1)). The results of a superposition simulation of residence time distribution indicated that the asymmetric double sigmoidal (asym2sig) model is competent at providing a reasonable match between the measured and the predicted values to some extent. Based on the good fit of the experimental datasets by the asym2sig probability density function, the mathematical expectation approximated to the actual hydraulic residence time (10.16 hours) of the HSSF-CW.

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来源期刊
Journal of Environmental Monitoring
Journal of Environmental Monitoring 环境科学-分析化学
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审稿时长
2.3 months
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