摘要
长链二元酸生产废水具有高有机物和硫酸盐含量的特点。本研究探索了在控制出水硫化物的条件下厌氧生物处理工艺对二元酸废水的处理效能。实验在空白对照(R0)、添加Fe^(0)抑制剂(R1)和微曝气(R2)3组UASB反应器中进行。经过93 d的连续运行后发现:添加Fe^(0)和微曝气均可提高UASB的运行性能;在稳定期,R1和R2的COD去除率相比R0分别提升了104%和77%,并减少了48%和78%的出水硫化物含量。添加Fe^(0)有助于产生甲烷,但微曝气降低了沼气产率和甲烷含量。微生物群落分析表明,AUTHM297、Desulfovibrio、Macellibacteroides、Longilinea是厌氧生物处理二元酸废水中的优势菌属。硫酸盐还原和产甲烷过程可共同作用于二元酸废水中有机物的去除。
Long chain dicarboxylic acid wastewater has the characteristics of high organic matter and sulfate content.In this study,the anaerobic treatment performance of long chain dicarboxylic acid wastewater under the condition of controlling effluent sulfite concentration was investigated.Three reactors were set up which were R1 added with Fe^(0) and R2 with micro-aeration,R0 as control.After 93 days of continuous operation,Fe^(0) addition and micro-aeration improved the operational performance of UASB.In the stable period,the COD removal efficiencies of R1 and R2 increased by 104%and 77%,respectively,compared with R0,and effluent sulfide content was reduced by 48%and 78%.Fe^(0) improved the methanogenesis,but micro-aeration reduced biogas yield and methane content.The dominant genus in the anaerobic treatment systems were AUTHM297,Desulfovibrio,Macellibacteroides and Longilinea.Both of sulfate reduction and methanogenic processes contributed to organic compounds removal from long chain dicarboxylic acid wastewater.
作者
王庆宏
余静诗
付信格
梁家豪
王鑫
詹亚力
陈春茂
WANG Qinghong;YU Jingshi;FU Xinge;LIANG Jiahao;WANG Xin;ZHAN Yali;CHEN Chunmao(China University of Petroleum,Beijing,Beijing Key Laboratory of Oil&Gas Pollution Control,State Key Laboratory of Heavy Oil Processing,Beijing 102249,China;CCDC Drilling Fluid Technology Service Co.Ltd.,Chengdu 610051,China;Guangdong Provincial Key Laboratory of Petrochemical Pollution Process and Control,School of Environmental Science and Engineering,Guangdong University of Petrochemical Technology,Maoming 525000,China)
出处
《环境工程学报》
CAS
CSCD
北大核心
2022年第5期1681-1690,共10页
Chinese Journal of Environmental Engineering
基金
国家重点研发计划项目(2019YFC1806201-01,SQ2018YFC1801903-01)
中国石油科技创新基金项目(2020D-5007-0505)。