Performance of bioferric-submerged membrane bioreactor for dyeing wastewater treatment

ZOU Haiyan1, XI Danli2

PDF(407 KB)
PDF(407 KB)
Front. Environ. Sci. Eng. ›› 2007, Vol. 1 ›› Issue (3) : 374-380. DOI: 10.1007/s11783-007-0064-7

Performance of bioferric-submerged membrane bioreactor for dyeing wastewater treatment

  • ZOU Haiyan1, XI Danli2
Author information +
History +

Abstract

Adding iron salt or iron hydroxide to sludgemixed liquor in an aeration tank of a conventional activated sludge processes (bioferric process) can simultaneously improve the sludge s filterability and enhance the system s treatment capacity. In view of this, Fe(OH)3 was added to a submerged membrane bioreactor (SMBR) to enhance the removal efficiency and to mitigate membrane fouling. Bioferric process and SMBR were combined to create a novel process called Bioferric-SMBR. A side-by-side comparison study of Bioferric-SMBR and common SMBR dealing with dyeing wastewater was carried out. Bioferric-SMBR showed potential superiority, which could enhance removal efficiency, reduce membrane fouling and improve sludge characteristic. When volumetric loading rate was 25% higher than that of common SMBR, the removal efficiencies of Bioferric-SMBR on COD, dye, and NH4+-N were 1.0%, 9.5%, and 5.2% higher than that of common SMBR, respectively. The trans-membrane pressure of Bioferric-SMBR was only 36% of that in common SMBR while its membrane flux was 25% higher than that of common SMBR. The stable running period in Bioferric-SMBR was 2.5 times of that in common SMBR when there was no surplus sludge discharged. The mixed liquor suspended solids concentration of Bioferric-SMBR was higher than that of common SMBR with more diversified kinds of microorganisms such as protozoans and metazoans. The mean particle diameter and specific oxygen uptake rate of Bioferric-SMBR were 3.10 and 1.23 times the common SMBR, respectively.

Cite this article

Download citation ▾
ZOU Haiyan, XI Danli. Performance of bioferric-submerged membrane bioreactor for dyeing wastewater treatment. Front.Environ.Sci.Eng., 2007, 1(3): 374‒380 https://doi.org/10.1007/s11783-007-0064-7
AI Summary AI Mindmap
PDF(407 KB)

Accesses

Citations

Detail

Sections
Recommended

/