微生物燃料电池
人工湿地
废水
化学需氧量
环境科学
污染物
湿地
污水处理
环境工程
制浆造纸工业
环境化学
化学
阳极
生态学
生物
电极
有机化学
物理化学
工程类
作者
Yun Zhang,Feng Liu,Yidong Lin,Lei Sun,Xinru Guo,Shuai Yang,Jinlong He
出处
期刊:Water
[Multidisciplinary Digital Publishing Institute]
日期:2022-12-02
卷期号:14 (23): 3930-3930
被引量:11
摘要
This paper studies the effects of planting plants and coupled microbial fuel cells (MFCs) on the decontamination capacity and purification mechanism of constructed wetlands (CWs). Four systems were set, namely CW-without plants (A1), CW-with plants (A2), CW-MFC-without plants (A3) and CW-MFC-with plants (A4). The daily reductions per unit area of chemical oxygen demand (COD) were 48.72 ± 5.42, 51.26 ± 4.10, 53.49 ± 5.44 and 58.54 ± 4.16 g·(d·m2)−1, respectively. The daily reductions per unit area of nitrogen (N) were 11.89 ± 0.73, 12.38 ± 0.76, 12.24 ± 0.79 and 13.61 ± 1.07 g·(d·m2)−1, respectively. After studying the pollutant removal efficiency, it was found that the unit area of A4 removes the highest number of pollutants, improving the area efficiency of the wetland system and fundamentally alleviating the disadvantage of the large land footprint of wetland processes. The average output voltages of A3 and A4 were 568.29 and 717.46 mV, respectively, and the maximum power densities were 4.59 and 15.87 mW/m3, respectively. In addition, after high-throughput analysis of microbial samples, anaerobic ammonia oxidising (anammox) bacteria were found to remove N from the system in the anaerobic anode region.
科研通智能强力驱动
Strongly Powered by AbleSci AI