Investigation of Algal Biotoxin Removal during SWRO Desalination through a Materials Flow Analysis
AbstractThe operation of seawater reverse osmosis (SWRO) desalination facilities has become challenged by the increasing frequency and severity of harmful algal blooms (HABs). The efficiency of algal toxins removal during SWRO and pretreatment processes has critical human health implications. Therefore, a probabilistic materials flow analysis (pMFA) was developed to predict the removal of algal toxins in source water by various pretreatment configurations and operations during SWRO desalination. The results demonstrated that an appreciable quantity of toxins exists in the SWRO permeate (ng/L–µg/L levels), the backwash of pretreatment, and final brine rejects (µg/L–mg/L levels). Varying the pretreatment train configuration resulted in statistically significant differences in toxin removals, where higher removal efficiencies were evidenced in systems employing microfiltration/ultrafiltration (MF/UF) over granular media filtration (GMF). However, this performance depended on operational practices including coagulant addition and transmembrane pressures of MF/UF systems. Acute human health risks during lifetime exposure to algal toxins from ingestion of desalinated water were benign, with margins of safety ranging from 100 to 4000. This study highlights the importance of pretreatment steps during SWRO operation in the removal of algal toxins for managing marine HABs. View Full-Text
- Supplementary File 1:
DOCX-Document (DOCX, 1635 KB)
Share & Cite This Article
Manheim, D.C.; Jiang, S.C. Investigation of Algal Biotoxin Removal during SWRO Desalination through a Materials Flow Analysis. Water 2017, 9, 730.
Manheim DC, Jiang SC. Investigation of Algal Biotoxin Removal during SWRO Desalination through a Materials Flow Analysis. Water. 2017; 9(10):730.Chicago/Turabian Style
Manheim, Derek C.; Jiang, Sunny C. 2017. "Investigation of Algal Biotoxin Removal during SWRO Desalination through a Materials Flow Analysis." Water 9, no. 10: 730.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.