↓ Skip to main content

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

Overview of attention for article published in Journal of Biological Engineering, May 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
169 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Application of denitrifying wood chip bioreactors for management of residential non-point sources of nitrogen
Published in
Journal of Biological Engineering, May 2017
DOI 10.1186/s13036-017-0057-4
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
France 1 <1%
Unknown 167 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 17%
Student > Ph. D. Student 26 15%
Student > Bachelor 17 10%
Researcher 16 9%
Professor 8 5%
Other 22 13%
Unknown 51 30%
Readers by discipline Count As %
Engineering 39 23%
Environmental Science 31 18%
Agricultural and Biological Sciences 15 9%
Chemical Engineering 4 2%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 18 11%
Unknown 59 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2023.
All research outputs
#5,796,437
of 23,572,509 outputs
Outputs from Journal of Biological Engineering
#91
of 276 outputs
Outputs of similar age
#89,195
of 311,648 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 5 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 276 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,648 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them