98
Views
3
CrossRef citations to date
0
Altmetric
Articles

Treatment of reverse osmosis concentrate by biological aerated filter

&
Pages 1188-1195 | Received 22 May 2013, Accepted 20 Sep 2013, Published online: 21 Oct 2013
 

Abstract

The aim of this study is to employ the biological aerated filter (BAF) in the treatment of reverse osmosis (RO) concentrate received from reuse of wastewater treatment plant. BAF is known as economic and efficient treatment method for the effluent standards. The result of the treatment of RO concentrate by BAF process was found to be efficient for biological oxygen demand (BOD) removal (95.86%). However, it was relatively less efficient in the chemical oxygen demand (COD) (88.95%) and suspended solids (SS) (81.12%) removal. A high BOD removal efficiency is due to the complete oxidation of organic matter which comes from low food to micro-organisms (F/M) ratio (0.049 kg BOD/kg MLSS day) of the influent. The TN (total nitrogen) and NO3-N removal percent were found to be 81.42% and 76.70%, respectively. However, total phosphorous (TP) and PO4-P removal percent were obtained low with 67.66 and 61.42%, respectively. It is observed that decreasing the COD/N ratio caused to decrease the TP and PO4-P removal efficiency. However, the denitrification and nitrification rates were increased from 211.8 to 301.0 mg/L day and 87.7 to 109.4 mg/L day, respectively, for a change in COD/N ratio from 8.19 to 7.64. Therefore, in order to reuse the RO concentrate, BAF process could effectively treat the RO concentrate.

Acknowledgments

This work was supported by the basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0002804/2013006899).

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.