Evidence map›Paper›PMID 28469703›Full record

ReviewJournal of biological engineering2017

Application of denitrifying wood chip bioreactors for management of residential non-point sources of nitrogen.

E V Lopez-Ponnada, T J Lynn, M Peterson, S J Ergas, J R Mihelcic

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Shallow Geologic Storage of Carbon to Remove Atmospheric COEnvironmental science & technology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

E V Lopez-PonnadaDepartment of Civil & Environmental Engineering, University of South Florida, 4202 E. Fowler Ave./ENB 118, Tampa, FL 33620 USA.
T J LynnTexas A&M University-Kingsville, 700 University Blvd./MSC 213, Kingsville, TX 78363 USA.
M PetersonDepartment of Civil & Environmental Engineering, University of South Florida, 4202 E. Fowler Ave./ENB 118, Tampa, FL 33620 USA.
S J ErgasDepartment of Civil & Environmental Engineering, University of South Florida, 4202 E. Fowler Ave./ENB 118, Tampa, FL 33620 USA.
J R MihelcicDepartment of Civil & Environmental Engineering, University of South Florida, 4202 E. Fowler Ave./ENB 118, Tampa, FL 33620 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two important and large non-point sources of nitrogen in residential areas that adversely affect water quality are stormwater runoff and effluent from on-site treatment systems. These sources are challenging to control due to their variable flow rates and nitrogen concentrations. Denitrifying bioreactors that employ a lignocellulosic wood chip medium contained within a saturated (anoxic) zone are relatively new technology that can be implemented at the local level to manage residential non-point nitrogen sources. In these systems, wood chips serve as a microbial biofilm support and provide a constant source of organic substrate required for denitrification. Denitrifying wood chip bioreactors for stormwater management include biofilters and bioretention systems modified to include an internal water storage zone; for on-site wastewater, they include upflow packed bed reactors, permeable reactive barriers, and submerged wetlands. Laboratory studies have shown that these bioreactors can achieve nitrate removal efficiencies as high as 80-100% but could provide more fundamental insight into system design and performance. For example, the type and size of the wood chips, hydraulic loading rate, and dormant period between water applications affects the hydrolysis rate of the lignocellulosic substrate, which in turn affects the amount and bioavailability of dissolved organic carbon for denitrification. Additional field studies can provide a better understanding of the effect of varying environmental conditions such as ambient temperature, precipitation rates, household water use rates, and idle periods on nitrogen removal performance. Long-term studies are also essential for understanding operations and maintenance requirements and validating mathematical models that integrate the complex physical, chemical, and biological processes occurring in these systems. Better modeling tools could assist in optimizing denitrifying wood chip bioreactors to meet nutrient reduction goals in urban and suburban watersheds.

Indexed as

Best management practice (BMP)BiofilmDecentralized treatmentEutrophicationGreen infrastructureLow impact development (LID)MicrobiologyOn-site wastewater treatmentSeptic systemsStormwater

Identifiers

PMID28469703
PMCPMC5410704

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.