Evidence map›Paper›PMID 27525584›Full record

ArticleWater research2016

Investigating the role of biofilms in trihalomethane formation in water distribution systems with a multicomponent model.

Ahmed A Abokifa, Y Jeffrey Yang, Cynthia S Lo, Pratim Biswas

Open access · greenAbstract read
In one paragraph

Article in Water research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Article
  3. Modeling Nicotine-Induced Chlorine Loss in Drinking Water Using Updated EPANET-MSX.Journal of environmental engineering (New York, N.Y.) · 2023
    Article
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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

4 authors at 2 institutions in 1 country.

Ahmed A AbokifaDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. Electronic address: ahmed.abokifa@wustl.edu.
Y Jeffrey YangU.S. EPA, Office of Research and Development, National Risk Management Research Laboratory, Cincinnati, OH, 45268, USA. Electronic address: yang.jeff@epa.gov.
Cynthia S LoDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. Electronic address: clo@wustl.edu.
Pratim BiswasDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. Electronic address: pbiswas@wustl.edu.
Washington University in St. Louis · USEnvironmental Protection Agency · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Biofilms are ubiquitous in the pipes of drinking water distribution systems (DWDSs), and recent experimental studies revealed that the chlorination of the microbial carbon associated with the biofilm contributes to the total disinfection by-products (DBPs) formation with distinct mechanisms from those formed from precursors derived from natural organic matter (NOM). A multiple species reactive-transport model was developed to explain the role of biofilms in DBPs formation by accounting for the simultaneous transport and interactions of disinfectants, organic compounds, and biomass. Using parameter values from experimental studies in the literature, the model equations were solved to predict chlorine decay and microbial regrowth dynamics in an actual DWDS, and trihalomethanes (THMs) formation in a pilot-scale distribution system simulator. The model's capability of reproducing the measured concentrations of free chlorine, suspended biomass, and THMs under different hydrodynamic and temperature conditions was demonstrated. The contribution of bacteria-derived precursors to the total THMs production was found to have a significant dependence on the system's hydraulics, seasonal variables, and the quality of the treated drinking water. Under system conditions that promoted fast bacterial re-growth, the transformation of non-microbial into microbial carbon DBP precursors by the biofilms showed a noticeable effect on the kinetics of THMs formation, especially when a high initial chlorine dose was applied. These conditions included elevated water temperature and high concentrations of nutrients in the influent water. The fraction of THMs formed from microbial sources was found to reach a peak of 12% of the total produced THMs under the investigated scenarios. The results demonstrated the importance of integrating bacterial regrowth dynamics in predictive DBPs formation models.

Indexed as

TrihalomethanesWaterBiofilmsDisinfectantsDisinfectionWater Pollutants, ChemicalWater PurificationDisinfectantsTrihalomethanesWaterWater Pollutants, ChemicalBiofilmBiomass-derived precursorChlorineDisinfection by-productsMulti speciesReactive transport

Identifiers

PMID27525584
PMCPMC6757328
OpenAlexW2480660690

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.