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流速对污水管道中甲烷与硫化物生成的影响 被引量:3

Effect of flow velocity on methane and sulfide formation in sewage pipes
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摘要 为探明城市污水管道中流速变化对甲烷和硫化物生成的影响特性,通过控制污水管道中试系统的污水流速,探究了不同流速下产甲烷菌(MA)和硫酸盐还原菌(SRB)的菌群与功能基因分布特性.结果表明,污水管道中甲烷和硫化物主要分布于固相沉积物间隙水和液相污水中,当流速从0.1m/s升高至0.7m/s时,固相中10%的甲烷和硫化物会转移到液相和气相中.同时对管道中微生物进行宏基因组测序,发现MA菌群相对丰度升高1.24%,SRB菌群相对丰度降低0.4%.通过对甲烷代谢和硫代谢通路中关键酶和基因的检测,发现0.7m/s流速下甲烷代谢通路中关键酶、基因相对丰度更高,0.1m/s流速下硫代谢通路中关键酶、基因相对丰度更高. To explore the effects of velocity variation on methane and sulfide generation in urban sewage pipes,the distribution characteristics of the flora and functional genes of methanogens(MA)and sulfate-reducing bacteria(SRB)were investigated by controlling the flow velocity of sewage pipes in the pilot system.The results showed that methane and sulfide were mainly distributed in solid sediment interstitial water and liquid sewage,which were transferred to the liquid phase and the gas phase with the velocity was increased from 0.1m/s to 0.7m/s.Macroeconomic sequencing of the microorganisms in the pipeline showed that the relative abundance of MA microflora increased by 1.24%and the relative abundance of SRB reduced by 0.4%.In the detection of critical enzymes and genes of methane metabolism and sulfur metabolism pathways,it was found that the relative abundance of critical enzymes and genes in the methane metabolism pathway was higher at 0.7m/s and that of critical enzymes and genes in the sulfur metabolism pathway was higher at low flow velocities.
作者 刘伟 石烜 徐栋伟 金鑫 金鹏康 LIU Wei;SHI Xuan;XU Dong-wei;JIN Xin;JING Peng-kang(School of Environmental and Municipal Engineering,Xi’an Unversity of Architecture and Technology,Xi’an 710055,China;School of Human Settlements and Civil Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处 《中国环境科学》 EI CAS CSCD 北大核心 2023年第6期2938-2947,共10页 China Environmental Science
基金 国家自然科学基金资助(52200117) 中央高校基本科研业务费资助项目(xzy012022079) 陕西省教育厅科研计划项目一般专项(20JK0730)。
关键词 污水管道 不同流速 产甲烷菌(MA) 硫酸盐还原菌(SRB) 宏基因组测序 sewer system different flow velocity methanogens(MA) sulfate-reducing bacteria(SRB) metagenomic sequencing
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