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[Assessing Performance of Pollutant Removal from Municipal Wastewater by Physical and Chemical Methods Based on Membranes].
Xu, Ting; Li, Yong; Zhu, Yi-Jia; Xue, Meng-Ting; Tang, Tong-Huan.
Affiliation
  • Xu T; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Li Y; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Zhu YJ; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Xue MT; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Tang TH; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Huan Jing Ke Xue ; 40(3): 1353-1359, 2019 Mar 08.
Article in Zh | MEDLINE | ID: mdl-31087984
ABSTRACT
The removal characteristics of various pollution factors in municipal wastewater by membrane-based physical and chemical treatment, especially the enrichment characteristics of dissolved organic matter, were investigated by high performance liquid chromatography and three-dimensional fluorescence spectroscopy. The results showed that the municipal wastewater had a low COD/TN ratio after the treatment. The micro-flocculation filtration mainly enriched the non-dissolvable organic matter in the raw water and aromatic protein substances with relative molecular mass greater than 30 000. The enrichment degree was up to 60.93%, especially for tyrosine-like and tryptophan-like substances. The dissolved organic matter (DOM) with a molecular weight greater than 30 000 was enriched fully by 0.45 µm and 0.22 µm acetate membranes, but the microfiltration membrane was not selective for the enrichment of organic matter. Thus, NF mainly enriched the fulvic acid and humic acid in urban sewage. The enrichment degree was 52.01% and 53.57%, respectively, and the total enrichment degree of dissolved organic matter was about 42%.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: Zh Journal: Huan Jing Ke Xue Year: 2019 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: Zh Journal: Huan Jing Ke Xue Year: 2019 Document type: Article Affiliation country:
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