Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences

High-efficiency treatment of low-sulfate in wastewater by a sort of SRB

Authors
Xiaoye Liu, Shanzhi Xin
Corresponding Author
Xiaoye Liu
Available Online October 2015.
DOI
10.2991/iwmecs-15.2015.5How to use a DOI?
Keywords
sulfate-reducing bacteria, reducing characteristics, low sulfate concetration
Abstract

Biological treatment with sulfate-reducing bacteria (SRB) has been considered as the most promising alternative for acid mine drainage (AMD) pollution control. Here we reported some characteristics of SRB, which was isolated from sulfate rich and low pH waste water. It was a sulfate-tolerant bacterium. In the neutral postgate’s C medium at the inoculation ratio of 1:10, and in low concentration of sulfate waster when C/S ratios was about 2.0, the sulfate removal ratio could reach more than 80%. As the sulfate concentration increased, the absolute amount of sulfate removal also increased, but its removal ratio decreased. The characteristics would provide some information for the researchers to study this sort of bacteria.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-114-8
ISSN
2352-538X
DOI
10.2991/iwmecs-15.2015.5How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoye Liu
AU  - Shanzhi Xin
PY  - 2015/10
DA  - 2015/10
TI  - High-efficiency treatment of low-sulfate in wastewater by a sort of SRB
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 22
EP  - 26
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.5
DO  - 10.2991/iwmecs-15.2015.5
ID  - Liu2015/10
ER  -