Evidence map›Paper›PMID 35018089›Full record

ArticleGround water monitoring & remediation2021

MODELING FATE AND TRANSPORT OF VOLATILE ORGANIC COMPOUNDS (VOCs) INSIDE SEWER SYSTEMS.

Mahammadyousef Roghani, Ying Li, Nader Rezaei, Ariel Robinson, Elham Shirazi, Kelly G Pennell

Open access · greenAbstract read
In one paragraph

Article in Ground water monitoring & remediation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors at 1 institution in 1 country.

Mahammadyousef RoghaniUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
Ying LiUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
Nader RezaeiUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
Ariel RobinsonUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
Elham ShiraziUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
Kelly G PennellUniversity of Kentucky, College of Engineering, Department of Civil Engineering.
University of Kentucky · US

Funding

Vascular Mechanisms of PCB-Induced Brain MetastasesP42ES007380 · NIEHS · UNIVERSITY OF KENTUCKY · PI PENNELL, KELLY G · 1997 to 2024
$47.8M
Pilot Project ProgramP30ES026529 · NIEHS · UNIVERSITY OF KENTUCKY · PI Erin N Haynes · 2017 to 2026
$15.4M
NIEHS NIH HHS P30 ES026529NIEHS NIH HHS P42 ES007380
6 · The paper itself

Abstract

Hazardous waste site investigations have shown that volatile organic compounds (VOCs) can be transported via sewer pipes and migrate into indoor spaces. Despite field data confirming the presence of this exposure pathway, there is lack of context-based numerical models that provide guidance to characterize and predict VOCs concentration in sewer gas at vapor intrusion sites. Particularly, this poses a challenge when assessing and mitigating risks associated with these exposure pathways. Therefore, a numerical model has been developed to simulate the concentration of VOCs in sewer gas in different stages throughout the sewer lines. The developed model considers various input parameters, including temperature, sewer liquid depth, groundwater depth, and sewer construction characteristics to incorporate local and operational conditions. The model's output is verified using field data from a sewer system constructed near a Superfund site. Moreover, a sensitivity analysis was conducted to evaluate the model's response to variation of the external input parameters. To the best of our knowledge, this study is the first attempt to model VOCs concentration in sewer gas, particularly to address vapor intrusion. The developed model can be used as a numerical tool to support the development of sewer assessment guidelines, risk assessment studies, and mitigation strategies.

Identifiers

PMID35018089
PMCPMC8744132
OpenAlexW3155729902

What OpenQuestion holds

Textmetadata
LicenceTDM
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.