Suppr超能文献

添加碳的表面流人工湿地中苯并荧蒽去除效果增强

Enhanced Benzofluoranthrene Removal in Surface Flow Constructed Wetlands with the Addition of Carbon.

作者信息

Cao Qingqing, Li Yan, Kang Yan, Guo Zizhang

机构信息

School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250014, China.

College of Education Central China Normal University, Wuhan 430079, China.

出版信息

ACS Omega. 2021 Jan 21;6(4):2865-2872. doi: 10.1021/acsomega.0c05202. eCollection 2021 Feb 2.

Abstract

Polycyclic aromatic hydrocarbons (PAHs), as hazardous pollutants, could be removed by constructed wetlands (CWs). While the traditional substrate of CWs has a weak adsorption capacity for PAHs, in this study, the carbonous fillers-activated carbon (AC) and biochar-were added into the substrate of surface flow CWs to improve the removal performance of benzofluoranthrene (BbFA), a typical PAH. The results showed that the BbFA removal efficiencies in CWs with the addition of AC and biochar were 11.8 and 1.2% higher than those in the Control group, respectively. Simultaneously, the removal efficiencies of NO -N were 42.8 and 68.4% in these two CWs, while the BbFA content in the substrate and plants with the addition of carbon was lower than that in the Control group. The addition of carbonous filler reduced the absorption of PAHs by plants in CWs and enhanced microbial degradation. The microbial community results showed that the relative abundance of Proteobacteria, especially γproteobacteria, was higher with the addition of fillers, which related to PAH degradation.

摘要

多环芳烃(PAHs)作为有害污染物,可通过人工湿地(CWs)去除。虽然传统人工湿地的基质对PAHs的吸附能力较弱,但在本研究中,将含碳填料——活性炭(AC)和生物炭——添加到表面流人工湿地的基质中,以提高典型PAH苯并荧蒽(BbFA)的去除性能。结果表明,添加AC和生物炭的人工湿地中BbFA的去除效率分别比对照组高11.8%和1.2%。同时,这两种人工湿地中NO -N的去除效率分别为42.8%和68.4%,而添加碳的基质和植物中的BbFA含量低于对照组。含碳填料的添加减少了人工湿地中植物对PAHs的吸收,并增强了微生物降解。微生物群落结果表明,添加填料后变形菌门,尤其是γ变形菌纲的相对丰度更高,这与PAH降解有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a88b/7860057/71c4c8d46f0c/ao0c05202_0002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验