Performance of integrated sequencing batch reactor (SBR) and reverse osmosis (RO) process for leachate treatment: effect of pH

Abstract

Purpose In this paper the performance and effectiveness of the reverse osmosis (RO) process for the biologically pretreated leachate was investigated. The RO process was carried out separately for two different pH: 8.0 and 9.3. Methods A general pollution parameters as well as organic and inorganic indicators were determined in raw, biologically pretreated and RO treated leachate. The performance characteristics of the reverse osmosis system were made on the basis of permeate flux, electroconductivity removal rate, concentration factor and efficiency in removal of analyzed parameters. Results The use of SBR pretreatment had very good efficiency in BOD (97.3%) and ammonia nitrogen (95.4%) removal. The lowest effectivity was observed for chloride (11.6%), boron (3.9%) and TDS (1.2%). Pretreated leachate was subjected to RO system. The normalized average flux was 0.53 (42.3 L/m2·h) for pH = 8.0 and 0.68 (33.5 L/m2·h) for pH = 9.3. The lower membrane fouling at higher pH can be explained by electrostatic repulsion between the negatively charged membrane surface and organic substances. Independently of the process pH, a two-step membrane fouling was observed. The greatest differences in removal rates were observed for boron, which had a higher retention rate at higher pH, and ammonia nitrogen, whose removal rate decreased at higher pH. The obtained permeate pH after RO process was lower than the feed pH in two analyzed value of pH. Conclusions The higher flux value at pH = 9.3 is result of high content of organic matter in leachate, which is better rejected at higher pH because of higher electrostatic repulsion between organic matter and membrane surface. This indicates that the organic matter content should be taken into account when determining the operating parameters (pH values) of the RO system.

Modelling Closed-Water Loops in the Process Industries

“…Several conventional and advanced wastewater treatment technologies have been studies over the last decades, including aerobic granular sludge (AGS) (Hou et al, 2021), adsorption (Sizirici & Yildiz, 2020), membrane bioreactor (MBR) (Al-Asheh et al, 2021), advanced oxidation processes (AOPs) (Pandis et al, 2022), ion exchange (IEX) (Hashemi et al, 2020), reverse osmosis (RO) (Tałałaj, 2022), pulse flow reverse osmosis (PFRO) (Liberman et al, 2020), ultrafiltration (UF) (Field & Wu, 2022), and coagulation/flocculation (CF) (Ehteshami et al, 2015). The performance of these processes and the affecting factors have to be studied in order to develop mathematical models that can predict the removal efficiency in relation to specific contaminants from wastewater.…”