Side-stream enhanced biological phosphorus removal (S2EBPR) process improves system performance - A full-scale comparative study

Wang, Dongqi; Tooker, Nicholas B.; Srinivasan, V.; Li, Guangyu; Fernandez, Loretta A.; Schauer, Peter; Menniti, Adrienne; Maher, Chris; Bott, Charles; Dombrowski, Paul; Barnard, James; Onnis‐Hayden, Annalisa; Gu, April Z.

doi:10.1016/j.watres.2019.115109

Cited by 94 publications

(74 citation statements)

References 68 publications

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“…Similar results were obtained at the full-scale pilot study at the Rock Creek Facility, where two independent treatment trains were operated in S2EBPR and conventional EBPR configurations (Maher, Schauer, & Menniti, 2017;Srinivasan et al, 2018;Wang et al, 2019).…”

Section: S2ebpr Performance Evaluation and Comparison With Conventionsupporting

confidence: 73%

Survey of full‐scale sidestream enhanced biological phosphorus removal (S2EBPR) systems and comparison with conventional EBPRs in North America: Process stability, kinetics, and microbial populations

Onnis‐Hayden

Srinivasan

Tooker

et al. 2019

Water Environment Research

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Sidestream EBPR (S2EBPR) is an emerging alternative process to address common challenges in EBPR related to weak wastewater influent and may improve EBPR process stability. A systematic evaluation and comparison of the process performance and microbial community structure was conducted between conventional and S2EBPR facilities in North America. The statistical analysis suggested higher performance stability in S2EBPR than conventional EBPR, although possible bias associated with other plant‐specific factors might have affected the comparison. Variations in stoichiometric values related to EBPR activity and discrepancies between the observed values and current model predictions suggested a varying degree of metabolic versatility of PAOs in S2EBPR systems that warrant further investigation. Microbial community analysis using various techniques suggested comparable known candidate PAO relative abundances in S2EBPR and conventional EBPR systems, whereas the relative abundance of known candidate GAOs seemed to be consistently lower in S2EBPR facilities than conventional EBPR facilities. 16S rRNA gene sequencing analysis revealed differences in the community phylogenetic fingerprints between S2EBPR and conventional facilities and indicated statistically higher microbial diversity index values in S2EBPR facilities than those in conventional EBPRs. Practitioner Points Sidestream EBPR (S2EBPR) can be implemented with varying and flexible configurations, and they offer advantages over conventional configurations for addressing the common challenges in EBPR related to weak wastewater influent and may improve EBPR process stability. Survey of S2EBPR plants in North America suggested statistically more stable phosphorus removal performance in S2EBPR plants than conventional EBPRs, although possible bias might affect the comparison due to other plant‐specific factors. The EBPR kinetics and stoichiometry of the S2EBPR facilities seemed to vary and are associated with metabolic versatility of PAOs in S2EBPR systems that warrant further investigation. The abundance of known candidate PAOs in S2EBPR plants was similar to those in conventional EBPRs, and the abundance of known candidate GAOs was generally lower in S2EBPR than conventional EBPR facilities. Further finer‐resolution analysis of PAOs and GAOs, as well as identification of other unknown PAOs and GAOs, is needed. Microbial diversity is higher in S2EBPR facilities compared with conventional ones, implying that S2EBPR microbial communities could show better resilience to perturbations due to potential functional redundancy.

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Section: S2ebpr Performance Evaluation and Comparison With Conventionsupporting

confidence: 73%

Survey of full‐scale sidestream enhanced biological phosphorus removal (S2EBPR) systems and comparison with conventional EBPRs in North America: Process stability, kinetics, and microbial populations

Onnis‐Hayden

Srinivasan

Tooker

et al. 2019

Water Environment Research

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“…After performance evaluation on two synthetic datasets with or without linear relationship, the proposed algorithm and method were applied to investigate sampling size requirements with single-cell Raman spectroscopic dataset retrieved from eight microbial communities representing eight different wastewater reuse and reclamation facilities (WRRFs) located in North America 27, 42 . Details on these EBPR facilities, sampling and SCRS data acquisition were described in the methods section and in supporting information.…”

Section: Resultsmentioning

confidence: 99%

“…Kernel divergence profiling simulations were conducted independently on individual SCRS-based phenotyping dataset, using parameter k = 1, t = 0.01, 0.005 and 1000 permutations. Sample batch size k=1 since our data was obtained using single-cell Raman microspectroscopy at single cell resolution 27 . As no clear group of major eigenvalues can be identified, we used parameters p = 96% in calculations ( Figure S4 ).…”

Section: Resultsmentioning

confidence: 99%

“…CC-BY-NC-ND 4.0 International license available under a (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made The copyright holder for this preprint this version posted December 21, 2020. ; https://doi.org/10.1101/2020.12.18.423496 doi: bioRxiv preprint reuse and reclamation facilities (WRRFs) located in North America 27,42 . Details on these EBPR facilities, sampling and SCRS data acquisition were described in the methods section and in supporting information.…”

Section: Case Study: Sample Size Assessment For Scrs Phenotyping Datamentioning

confidence: 99%

“…Restricted by its labor and time demand, most previous studies randomly select a sample size (i.e., the number of single-cell spectra to collect per environmental sample) 22, 24 , estimate empirically 25 , or follow lab-specific protocols 11, 26 . A commonly selected range of SCRS dataset size is 200-1,000 in dependence to the population complexity 23, 27, 28 or 20-200 spectra per label in classification-oriented studies 21, 25, 29 with a largest reported total sample size of 10759 30 . Second, the level of microbial community diversity in different environmental samples varies largely, therefore it is difficult to estimate a priori .…”

Section: Introductionmentioning

confidence: 99%

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Machine Leaning-based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems

Wang

et al. 2020

Preprint

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Rapid progress in various advanced analytical methods such as single-cell technologies enable unprecedented and deeper understanding of microbial ecology beyond the resolution of conventional approaches. A major application challenge exists in the determination of sufficient sample size without sufficient prior knowledge of the community complexity and, the need to balance between statistical power and limited time or resources. This hinders the desired standardization and wider application of these technologies. Here, we proposed, tested and validated a computational sampling size assessment protocol taking advantage of a metric, named kernel divergence. This metric has two advantages: First, it directly compares dataset-wise distributional differences with no requirements on human intervention or prior knowledge-based pre-classification. Second, minimal assumptions in distribution and sample space are made in data processing to enhance its application domain. This enables test-verified appropriate handling of datasets with both linear and non-linear relationships. The model was then validated in a case study with eight SCRS phenotyping datasets each sampled from a different enhanced biological phosphorus removal (EBPR) activated sludge community located across North America. The model allows the determination of sufficient sampling size for any targeted or customized information capture capacity or resolution level. For example, an approximated sampling size of 50 or 100 spectra for full-scale EBPR-related ecosystems at 5% or 2% OPU cluster resolution. Promised by its flexibility and minimal restriction of input data types, the proposed method is expected to be a standardized approach for sampling size optimization, enabling more comparable and reproducible experiments and analysis on complex environmental samples. Finally, these advantages exhibit the capability of generalizing to other single-cell technologies or environmental applications, provided that the input datasets contain only continuous features.TOC

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Sidestream bio‐P and mainstream anammox in a BNR process with upstream carbon capture

McCullough

Klaus²,

Wilson³

et al. 2023

Water Environment Research

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The integration of biological phosphorus removal (bio‐P) and shortcut nitrogen removal (SNR) processes is challenging because of the conflicting demands on influent carbon: SNR allows for upstream carbon diversion but this reduction of influent carbon (especially volatile fatty acids (VFA)) prevents or limits bio‐P. The objective of this study was to achieve SNR, either via partial nitritation/anammox (PNA) or partial denitrification/anammox (PdNA), simultaneously with biological phosphorus removal in a process with upstream carbon capture. This study took place in a pilot scale A/B process with a sidestream bio‐P reactor and tertiary anammox polishing. Despite low influent rbCOD concentrations from the A‐stage effluent, bio‐P occurred in the B‐stage thanks to the addition of A‐stage WAS fermentate to the sidestream reactor. Nitrite accumulation occurred in the B‐stage via partial denitrification and partial nitritation (NOB out‐selection), depending on operational conditions, and was removed along with ammonia by the tertiary anammox MBBR, with the ability to achieve effluent TIN less than 2 mg/L.

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Side-stream enhanced biological phosphorus removal (S2EBPR) process improves system performance - A full-scale comparative study

Cited by 94 publications

References 68 publications

Survey of full‐scale sidestream enhanced biological phosphorus removal (S2EBPR) systems and comparison with conventional EBPRs in North America: Process stability, kinetics, and microbial populations

Survey of full‐scale sidestream enhanced biological phosphorus removal (S2EBPR) systems and comparison with conventional EBPRs in North America: Process stability, kinetics, and microbial populations

Machine Leaning-based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems

Sidestream bio‐P and mainstream anammox in a BNR process with upstream carbon capture

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