Evidence map›Paper›PMID 38765690›Full record

ReviewWater research X2024

A unit process log reduction database for water reuse practitioners.

Sam Arden, Kyle McGaughy, James Phillips, Linda Hills, Emelyn Chiang, Savana Dumler, Xin Cissy Ma, Michael Jahne, Jay Garland

Abstract readReview
In one paragraph

Review in Water research X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sam ArdenEastern Research Group, Inc. (ERG), Concord, MA, USA.
Kyle McGaughyEastern Research Group, Inc. (ERG), Concord, MA, USA.
James PhillipsEastern Research Group, Inc. (ERG), Concord, MA, USA.
Linda HillsEastern Research Group, Inc. (ERG), Concord, MA, USA.
Emelyn ChiangEastern Research Group, Inc. (ERG), Concord, MA, USA.
Savana DumlerEastern Research Group, Inc. (ERG), Concord, MA, USA.
Xin Cissy MaUnited States Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Cincinnati, Ohio USA.
Michael JahneUnited States Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Cincinnati, Ohio USA.
Jay GarlandUnited States Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Cincinnati, Ohio USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen reduction for the purpose of human health protection is a critical function provided by water reuse systems. Pathogen reduction performance potential is dependent on a wide range of design and operational parameters. Poor understanding of pathogen reduction performance has important consequences-under treatment can jeopardize human health, while over treatment can lead to unnecessary costs and environmental impacts. Documented pathogen reduction potential of the unit processes that make up water reuse treatment trains is based on a highly dispersed and unstructured literature, creating an impediment to practitioners looking to design, model or simply better understand these systems. This review presents a database of compiled log reduction values (LRVs) and log reduction credits (LRCs) for unit processes capable of providing some level of pathogen reduction, with a focus on processes suitable for onsite non-potable water reuse systems. Where reported, we have also compiled all relevant design and operational factors associated with the LRVs and LRCs. Overall, we compiled over 1100 individual LRV data entries for 31 unit processes, and LRCs for 8 unit processes. Results show very inconsistent reporting of influencing parameters, representing a limitation to the use of some of the data. As a standalone resource, the database (included as Supplemental Information) provides water reuse practitioners with easy access to LRV and LRC data. The database is also part of a longer-term effort to optimize the balance between human health protection, potential environmental impacts and cost of water reuse treatment trains.

Indexed as

Human health protectionLog reduction creditLog reduction valueNon-potable reuse

Identifiers

PMID38765690
PMCPMC11101967

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.