4.8 Article

Nitrogen Removal and N2O Accumulation during Hydrogenotrophic Denitrification: Influence of Environmental Factors and Microbial Community Characteristics

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 51, 期 2, 页码 870-879

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.6b00071

关键词

-

资金

  1. National Water Pollution Control and Treatment Science and Technology Major Project of China [2012ZX07205-001]
  2. China Postdoctoral Science Foundation [2014M560982]

向作者/读者索取更多资源

Hydrogenotrophic denitrification is regarded as an efficient alternative technology of removing nitrogen from nitrate-polluted water that has insufficient organics material. However, the biochemical process underlying this method has not been completely characterized, particularly with regard to the generation and reduction of nitrous oxide (N2O). In this study, the effects of key environmental factors on hydrogenotrophic denitrification and N2O accumulation were investigated in a series of batch tests. The results show that nitrogen removal was efficient with a specific denitrification rate of 0.66 kg N/(kg MLSS center dot d), and almost no N2O accumulation was observed when the dissolved hydrogen (DH) concentration was approximately 0.40 mg/L, the temperature was 30 degrees C, and the pH was 7.0. The reduction of nitrate was significantly affected by the pH, temperature, inorganic carbon (IC) content, and DH concentration. A considerable accumulation of N2O was only observed when the pH decreased to 6.0 and the temperature decreased to 15 degrees C, where little N2O accumulated under various IC and DH concentrations. To determine the microbial community structure, the hydrogenotrophic denitrifying enrichment culture was analyzed by Illumina high-throughput sequencing, and the dominant species were found to belong to the genera Paracoccus (26.1%), Azoarcus (24.8%), Acetoanaerobium (11.4%), Labrenzia (7.4%), and Dysgonomonas (6.0%).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据