Evaluation of Nitrogen Concentration in Final Effluent of Advanced Nitrogen-Removal Onsite Wastewater Treatment Systems (OWTS)

Lancellotti, Brittany V.; Loomis, George W.; Hoyt, Kevin P.; Avizinis, Edward J.; Amador, José A.

doi:10.1007/s11270-017-3558-3

Cited by 22 publications

(30 citation statements)

References 18 publications

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“…The systems were part of a larger study evaluating the capacity of advanced N‐removal OWTS within the GNB watershed (Rhode Island) to lower N in residential wastewater (Lancellotti et al, 2017). Sites were selected based on the willingness of randomly solicited homeowners to participate from the 5125 advanced N‐removal systems that existed statewide in 2014.…”

Section: Methodsmentioning

confidence: 99%

“…Sites were selected based on the willingness of randomly solicited homeowners to participate from the 5125 advanced N‐removal systems that existed statewide in 2014. Only study systems within the GNB, serving private, residential homes, with year‐round occupancy, installed between 2006 and 2014, and with hydraulic flows within the system design loading rate (<435 L bedroom −1 d −1 ) were considered (Lancellotti et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

“…S2). Wastewater properties, including total N, NO 3 − , NH 4 + , dissolved O 2 , pH, temperature, biochemical O 2 demand, and alkalinity for August samples were determined and reported by Lancellotti et al (2017), and median, maximum, and minimum values are shown in Supplemental Table S1.…”

Section: Methodsmentioning

confidence: 99%

“…Differences in treatment performance among technologies, and among systems for the same technology, have been reported (Oakley et al, 2010; BCDHE, 2012; Lancellotti et al, 2017). Oakley et al (2010) found that 19 of 20 different advanced N‐removal OWTS technologies were <50% likely to deliver final effluent that complied with a standard of <10 mg total N L −1 .…”

mentioning

confidence: 99%

“…The inconsistent performance of these systems may be linked to a lack of monitoring (Lancellotti et al, 2017), inability to regulate the system's internal environmental conditions—such as flow, loading rates, or compounds that inhibit microbial processes (Oakley et al, 2010)—and/or lack of understanding of the microbial communities active in biological N removal (Brannon et al, 2017). Furthermore, the effects of system design differences on effluent properties, microbial communities, and N removal are not well understood (Lancellotti et al, 2017). …”

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confidence: 99%

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Nitrifying and Denitrifying Bacterial Communities in Advanced Nitrogen‐Removal Onsite Wastewater Treatment Systems

Wigginton

Brannon²,

Kearns

et al. 2018

J of Env Quality

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Advanced N‐removal onsite wastewater treatment systems (OWTS) rely on nitrification and denitrification to remove N from wastewater. Despite their use to reduce N contamination, we know little about microbial communities controlling N removal in these systems. We used quantitative polymerase chain reaction and high‐throughput sequencing targeting nitrous oxide reductase (nosZ) and bacterial ammonia monooxygenase (amoA) to determine the size, structure, and composition of communities containing these genes. We analyzed water samples from three advanced N‐removal technologies in 38 systems in five towns in Rhode Island in August 2016, and in nine systems from one town in June, August, and October 2016. Abundance of nosZ ranged from 9.1 × 103 to 9 × 108 copies L−1 and differed among technologies and over time, whereas bacterial amoA abundance ranged from 0 to 1.9 × 107 copies L−1 and was not different among technologies or over time. Richness and diversity of nosZ—but not amoA—differed over time, with median Shannon diversity indices ranging from 2.61 in October to 4.53 in August. We observed weak community similarity patterns driven by geography and technology in nosZ. The most abundant nosZ‐ and amoA‐containing bacteria were associated with water distribution and municipal wastewater treatment plants, such as Nitrosomonas and Thauera species. Our results show that nosZ communities in N‐removal OWTS technologies differ slightly in terms of size and diversity as a function of time, but not geography, whereas amoA communities are similar across time, technology, and geography. Furthermore, community composition appears to be stable across technologies, geography, and time for amoA. Core Ideas We describe N‐cycling bacterial communities in advanced N‐removal septic systems. Geographic factors are weak drivers of community composition in nosZ. Technology design is a weak driver of community composition in nosZ. Community composition of amoA is similar across time, space, and among technologies Time drives differences in nosZ—but not amoA—diversity and abundance.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Nitrifying and Denitrifying Bacterial Communities in Advanced Nitrogen‐Removal Onsite Wastewater Treatment Systems

Wigginton

Brannon²,

Kearns

et al. 2018

J of Env Quality

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A Multiarmed Bandit Approach to Adaptive Water Quality Management

Martin

Johnson

2020

Integr Envir Assess & Manag

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Nonpoint source water quality management is challenged with allocating uncertain management actions and monitoring their performance in the absence of state-dependent decision making. This adaptive management context can be expressed as a multiarmed bandit problem. Multiarmed bandit strategies attempt to balance the exploitation of actions that appear to maximize performance with the exploration of uncertain, but potentially better, actions. We performed a test of multiarmed bandit strategies to inform adaptive water quality management in Massachusetts, USA. Conservation and restoration practitioners were tasked with allocating household wastewater treatments to minimize N inputs to impaired waters. We obtained time series of N monitoring data from 3 wastewater treatment types and organized them chronologically and randomly. The chronological data set represented nonstationary performance based on recent monitoring data, whereas the random data set represented stationary performance. We tested 2 multiarmed bandit strategies in hypothetical experiments to sample from the treatment data through 20 sequential decisions. A deterministic probability-matching strategy allocated treatments with the highest probability of success regarding their performance at each decision. A randomized probabilitymatching strategy randomly allocated treatments according to their probability of success at each decision. The strategies were compared with a nonadaptive strategy that equally allocated treatments at each decision. Results indicated that equal allocation is useful for learning in nonstationary situations but tended to overexplore inferior treatments and thus did not maximize performance when compared with the other strategies. Deterministic probability matching maximized performance in many stationary situations, but the strategy did not adequately explore treatments and converged on inferior treatments in nonstationary situations. Randomized probability matching balanced performance and learning in stationary situations, but the strategy could converge on inferior treatments in nonstationary situations. These findings provide evidence that probability-matching strategies are useful for adaptive management. Integr Environ Assess Manag 2020;16: 841-852.

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Coastal Tourism and Its Influence on Wastewater Nitrogen Loading: A Barrier Island Case Study

O’Driscoll

Bean

Mahoney³

et al. 2019

Environmental Management

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Evaluation of Nitrogen Concentration in Final Effluent of Advanced Nitrogen-Removal Onsite Wastewater Treatment Systems (OWTS)

Cited by 22 publications

References 18 publications

Nitrifying and Denitrifying Bacterial Communities in Advanced Nitrogen‐Removal Onsite Wastewater Treatment Systems

Nitrifying and Denitrifying Bacterial Communities in Advanced Nitrogen‐Removal Onsite Wastewater Treatment Systems

A Multiarmed Bandit Approach to Adaptive Water Quality Management

Coastal Tourism and Its Influence on Wastewater Nitrogen Loading: A Barrier Island Case Study

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