Evaluating Nitrifier Kinetics in the Context of Various Substrate Limitation Scenarios
| dc.contributor.author | Dawson, William Clay | en |
| dc.contributor.committeechair | Pruden-Bagchi, Amy Jill | en |
| dc.contributor.committeechair | Bott, Charles B. | en |
| dc.contributor.committeemember | Liao, Jingqiu | en |
| dc.contributor.department | Civil and Environmental Engineering | en |
| dc.date.accessioned | 2026-07-07T08:00:22Z | en |
| dc.date.available | 2026-07-07T08:00:22Z | en |
| dc.date.issued | 2026-07-06 | en |
| dc.description.abstract | Novel aeration strategies are popularized for reducing the aeration demand of nitrification systems without compromising the effluent. Two separate dissolved oxygen (DO) intensification strategies - low DO setpoint and ammonia-based aeration control (ABAC) – are evaluated to determine how ammonia oxidizer kinetics change due to limitations between oxygen and or ammonia. While successful nitrification has been proven within these configurations, few studies have investigated the effect of both the oxygen affinity (K_DO) and the ammonia affinity (K_(NH_X )) within the same context. Low DO systems tend to discount the K_(NH_X ) due to their proclivity towards complete nitrification. However, with the emergence of ABAC and other operational strategies that require an ammonia residual, determining the ammonia removal rate when the reaction kinetics are first order is imperative for estimating treatment efficiency in process modelling scenarios. The Hampton Roads Sanitation Districts (HRSD) pilot process at the Virginia Initiative Plant (VIP) consisted of a continuously fed 3.8 Lpm A/O process with one continuously stirred anaerobic reactor followed by five continuously stirred aerobic reactors in series. The operating DO setpoint was incrementally decreased from 2.0 mg/L to 0.2 mg/L while maintaining a constant temperature and solids retention time (SRT) of 8.5 days. The ammonia oxidizer K_DO was positively correlated with the operating DO. This K_DO decrease was due to a community shift towards comammox Nitrospira clade A which comprised up to >80% of the nitrifier community at a DO setpoint of 0.2 mg/L. The ABAC study operated with an SRT < 5.5 days and observed a K_(NH_X ) shift once an effluent ammonia residual became established. The changes in K_DO and K_(NH_X ) are attributed to kinetic selection as in reference to the low DO study and the poor coefficient correlation with floc size. Multiple substrate limitation models were applied to confirm the observed K_DO and K_(NH_X ) readings with in-situ ammonia profiles. The multiplicative model does best to describe both the ammonia removal profile and the effluent ammonia concentration recorded in the pilot study. | en |
| dc.description.abstractgeneral | Microorganisms are used in wastewater treatment to remove pollutants such as nitrogen, phosphorus, and organic matter. Biological remediation requires aeration as microbes need oxygen to metabolize the desired compounds. Yet the aeration demand for wastewater treatment accounts for nearly half of a plant's total energy use. This high energy demand does two things: Increase the plants greenhouse gas emissions and increase operating costs for utilities which is ultimately passed on to rate payers. This study explores how low dissolved oxygen treatment affects the variables related to ammonia removal. Two different treatment schemes are used, showing multiple ways in which low dissolved oxygen treatment is possible. The pilot scale system monitored ammonia removal and tracked changes in the microbial community. The results show that effective ammonia removal can still be achieved even at lower oxygen levels, indicating that treatment systems may not require as much aeration as traditionally applied. By examining both microbial activity and community composition, the study helps explain how microorganisms adapt to these varied substrate conditions and continue to function effectively. Understanding their kinetic values will help design oriented solutions as modeling treatment process becomes more accurate once the metabolic processes are quantified. | en |
| dc.description.degree | Master of Science | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:46776 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/143580 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Low Dissolved Oyxgen | en |
| dc.subject | Nitrifier Kinetics | en |
| dc.subject | Substrate Limitation | en |
| dc.subject | Process Modeling | en |
| dc.title | Evaluating Nitrifier Kinetics in the Context of Various Substrate Limitation Scenarios | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Civil Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |