Elucidating the impact of low DO on enhanced biological phosphorus removal under aerobic and anoxic conditions at full-scale.

Research on low dissolved oxygen (DO) enhanced biological phosphorus removal (EBPR) at full-scale remains limited, a knowledge gap this study aims to fill by investigating EBPR performance and microbial community shifts at a Water Resource Recovery Facility (WRRF) transitioning to low DO conditions. Average DO concentrations decreased from 2.62 mg O/L in 2019 to 0.

A machine learning framework to predict PPCP removal through various wastewater and water reuse treatment trains.

The persistence of pharmaceuticals and personal care products (PPCPs) through wastewater treatment and resulting contamination of aquatic environments and drinking water is a pervasive concern, necessitating means of identifying effective treatment strategies for PPCP removal. In this study, we employed machine learning (ML) models to classify 149 PPCPs based on their chemical properties and predict their removal wastewater and water reuse treatment trains. We evaluated two distinct clustering approaches: C1 (clustering based on the most efficient individual treatment process) and C2 (clustering based on the removal pattern of PPCPs across treatments).

Pretreatment for potable reuse: Enhancing the biological removal of 1,4-dioxane from landfill leachate through cometabolism with tetrahydrofuran.

1,4-Dioxane is a probable human carcinogen and a persistent aquatic contaminant. Cometabolic biodegradation of 1,4-dioxane is a promising low-cost and effective treatment technology; however, further demonstration is needed for treating landfill leachate. This technology was tested in two full-scale moving bed biofilm reactors (MBBRs) treating raw landfill leachate with tetrahydrofuran selected as the cometabolite.

Relating microbial community composition to treatment performance in an ozone-biologically active carbon filtration potable reuse treatment train.

Treatment trains that couple ozone (O) with biologically active carbon (BAC) filtration are of interest as a lower cost, more sustainable, membrane-free approach to water reuse. However, little is known about the microbial communities that are the fundamental drivers of O-BAC treatment. The objective of this study was to demonstrate microbial community profiling as a diagnostic tool for assessing the functionality, biological stability, and resilience of coupled physical, chemical, advanced oxidative and biological processes employed in water reuse treatment.