Nguyen Xuan Cuong, Ly Quang Viet, Peng Wanxi, Nguyen Van-Huy, Nguyen Dinh Duc, Tran Quoc Ba, Huyen Nguyen Thi Thanh, Sonne Christian, Lam Su Shiung, Ngo Huu Hao, Goethals Peter, Le Quyet Van
Laboratory of Energy and Environmental Science, Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; Faculty of Environmental and Chemical Engineering, Duy Tan University, Da Nang 550000, Vietnam.
School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510275, China.
J Hazard Mater. 2021 Jul 5;413:125426. doi: 10.1016/j.jhazmat.2021.125426. Epub 2021 Feb 13.
This study evaluated and compared the performance of two vertical flow constructed wetlands (VF) using expanded clay (VF) and biochar (VF), of which both are low-cost, eco-friendly, and exhibit potentially high adsorption as compared to conventional filter layers. Both VFs achieved relatively high removal for organic matters (i.e. Biological oxygen demand during 5 days, BOD) and nitrogen, accounting for 9.5 - 10.5 gBODmd and 3.5 - 3.6 gNH-Nmd, respectively. The different filter materials did not exert any significant discrepancy to effluent quality in terms of suspended solids, organic matters and NO-N (P > 0.05), but they did influence NH-N effluent as evidenced by the removal rate of that by VF and VF being of 8.4 ± 5.7 and 84.6 ± 6.4%, respectively (P < 0.05). The results obtained from the designed systems were further subject to machine learning to clarify the effecting factors and predict the effluents. The optimal algorithms were random forest, generalized linear model, and support vector machine. The values of the coefficient of determination (R) and the root mean square error (RMSE) of whole fitting data achieved 74.0% and 5.0 mgL, 80.0% and 0.3 mgL, 90.1% and 2.9 mgL, and 48.5% and 05 mgL for BOD_VF, NHN_VF, BOD_VF, and NH-N_VF, respectively.
本研究评估并比较了两个垂直流人工湿地（VF）的性能，其中一个使用膨胀黏土（VF），另一个使用生物炭（VF），这两种材料成本低、环保，与传统过滤层相比具有较高的吸附潜力。两个VF对有机物（即五日生化需氧量，BOD）和氮的去除率都相对较高，分别为9.5 - 10.5gBOD/m·d和3.5 - 3.6gNH₃-N/m·d。不同的过滤材料在悬浮固体、有机物和NO₃-N方面对出水水质没有显著差异（P > 0.05），但对NH₃-N出水有影响，VF和VF对其的去除率分别为8.4 ± 5.7%和84.6 ± 6.4%（P < 0.05）。从设计系统中获得的结果进一步进行机器学习，以阐明影响因素并预测出水。最优算法为随机森林、广义线性模型和支持向量机。对于BOD_VF、NH₃-N_VF、BOD_VF和NH₃-N_VF，整个拟合数据的决定系数（R）值和均方根误差（RMSE）分别达到74.0%和5.0mg/L、80.0%和0.3mg/L、90.1%和2.9mg/L以及48.5%和0.5mg/L。
