A novel aerated surface flow constructed wetland using exhaust gas from biological wastewater treatment: Performance and mechanisms.
A novel aerated surface flow constructed wetland using exhaust gas from biological wastewater treatment: Performance and mechanisms.
复制标题
利用生物废水处理废气的新型曝气表面流构建湿地：性能和机制。
DOI：
10.1016/j.biortech.2017.08.172
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发表时间：
2018-02
影响因子：
11.4
通讯作者：
Siyuan Wang
中科院分区：
文献类型：
--
作者：
Xinwen Zhang;Zhen Hu;Jian Zhang;Jinlin Fan;Huu Hao Ngo;Wenshan Guo;Chujun Zeng;Yiwen Wu;Siyuan Wang
在这项研究中，研究了一种利用生物废水处理废气的新型曝气表面流人工湿地（SFCW）。与未曝气的SFCW相比，引入废气的SFCW显着提高了NH4+-N、TN和COD的去除效率，分别提高了68.30±2.06%、24.92±1.13%和73.92±2.36%。污染物去除机制与微生物丰度有关，在带废气的SFCW中观察到最高的微生物丰度，因为引入了序批式反应器（SBR）的废气，从而优化了氮转化过程。此外，SFCW 将显着降低废气污染的风险。 SFCW分别去除废气中20.00±1.23%、34.78±1.39%和59.50±2.33%的H2S、NH3和N2O。通过SFCW也分别去除了废气中31.32±2.23%和32.02±2.86%的细菌和真菌气溶胶。
In this study, a novel aerated surface flow constructed wetland (SFCW) using exhaust gas from biological wastewater treatment was investigated. Compared with un-aerated SFCW, the introduction of exhaust gas into SFCW significantly improved NH4+-N, TN and COD removal efficiencies by 68.30 ± 2.06%, 24.92 ± 1.13% and 73.92 ± 2.36%, respectively. The pollutants removal mechanism was related to the microbial abundance and the highest microbial abundance was observed in the SFCW with exhaust gas because of the introduction of exhaust gas from sequencing batch reactor (SBR), and thereby optimizing nitrogen transformation processes. Moreover, SFCW would significantly mitigate the risk of exhaust gas pollution. SFCW removed 20.00 ± 1.23%, 34.78 ± 1.39%, and 59.50 ± 2.33% of H2S, NH3and N2O in the exhaust gas, respectively. And 31.32 ± 2.23% and 32.02 ± 2.86% of bacterial and fungal aerosols in exhaust gas were also removed through passing SFCW, respectively.
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影响因子：
4
作者：
Brandi, G;Sisti, M;Amagliani, G
通讯作者：
Amagliani, G
处理污水处理厂废水的地表流人工湿地的净化能力和二氧化碳通量。
影响因子：
11.4
作者：
Wu Haiming;Lin Li;Zhang Jian;Guo Wenshan;Liang Shuang;Liu Hai
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Liu Hai
进水COD/N比对部分硝化处理高浓度含氮废水性能和N2O排放的影响
影响因子：
3.9
作者：
Zhen Hu;Huijun Xie;Dong Wei;Wenkai Li.
通讯作者：
Wenkai Li.
影响因子：
7.7
作者：
Vendrame F;Pileggi A;Laughlin E;Allende G;Martin-Pagola A;Molano RD;Diamantopoulos S;Standifer N;Geubtner K;Falk BA;Ichii H;Takahashi H;Snowhite I;Chen Z;Mendez A;Chen L;Sageshima J;Ruiz P;Ciancio G;Ricordi C;Reijonen H;Nepom GT;Burke GW 3rd;Pugliese A
通讯作者：
Pugliese A
影响因子：
12.8
作者：
IVANCIC, I;DEGOBBIS, D
通讯作者：
DEGOBBIS, D