矿源比对自养反硝化深度脱氮除磷性能的影响
Deep denitrification and dephosphorization performance of autotrophic denitrification in different ore mass ratios
钟溢健 1陆祖贤 1李金城 1黄晶 1罗雪静 1王潇潇1
作者信息
- 1. 桂林理工大学 环境科学与工程学院,广西 桂林 541006;桂林理工大学 广西环境污染控制理论与技术重点实验室,广西 桂林 541006;桂林理工大学 宜兴产业研究院,江苏 宜兴 214201
- 折叠
摘要
针对自养反硝化技术常规滤料出水中SO42- 浓度高、不能同步除磷的问题,通过批次实验探究复合矿源滤料自养反硝化(MSAD)的脱氮除磷性能.对矿源滤料硫铁矿(FeS2)和菱铁矿(FeCO3)在不同质量配比下脱氮除磷效果进行分析.结果表明,相比于单一FeS2 为电子供体,复合矿源(FeS2 和FeCO3)表现出更高的NO3--N去除速率、较低的硫酸盐浓度和稳定的 pH.在驯化结束后稳定运行的第 4 天,m(FeS2)∶m(FeCO3)= 2∶1系统脱氮性能最佳,NO3--N的去除率为 93%;TN的去除率为 86%;m(FeS2)∶m(FeCO3)= 1∶1系统总磷去除效果达到最优(65%).物种分析证明复合矿源中硫自养反硝化的微生物种类占主导地位.
Abstract
Aiming at the problems of high sulfate concentration in effluent from conventional filter media of auto-trophic denitrification technology and inability to remove phosphorus synchronously,the denitrification and de-phosphorization performance of composite mineral sources filter media(MSAD)is explored through batch experi-ments,and the denitrification and dephosphorization effects of pyrite(FeS2)and siderite(FeCO3)at different mass ratios are analyzed.The results show that,compared with single FeS2 as electron donor,the composite min-eral sources(FeS2 and FeCO3)possess higher nitrate removal rate,lower sulfate concentration and more stable pH value.On the 4th day of stable operation after domestication,the system with m(FeS2)∶m(FeCO3)= 2∶1 exhib-itsd supreme denitrification performance(removal rate of NO3--N is 93%,and TN is 86%).The removal efficiency of total phosphorus in the system with m(FeS2)∶m(FeCO3)= 1∶1 is the highest(65%).Species analysis show that the microbial species responsible for sulfide autotrophic denitrification are dominant in the composite mineral source.This study provides a theoretical reference for the selection of mineral sources in engineering practice of autotrophic denitrification technology.
关键词
自养反硝化/硫铁矿/菱铁矿/脱氮除磷Key words
autotrophic denitrification/pyrite/siderite/denitrification and dephosphorization引用本文复制引用
基金项目
新疆维吾尔自治区科技重大专项(2016A03008-1)
桂林市科学研究与技术开发计划(20220124-7)
桂林市科学研究与技术开发计划(20220114-3)
出版年
2024
国家科技期刊平台
NSTL
万方数据