Evidence map›Paper›PMID 33442426›Full record

ArticleAtmospheric measurement techniques2018

Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments.

Ashley Collier-Oxandale, Joanna Gordon Casey, Ricardo Piedrahita, John Ortega, Hannah Halliday, Jill Johnston, Michael P Hannigan

Abstract read
In one paragraph

Article in Atmospheric measurement techniques, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data.Environmental modelling & software : with environment data news · 2025
    Article
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  8. Flame-Made LaSensors (Basel, Switzerland) · 2021
    Article
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  12. Review
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  17. Community-Based Health and Exposure Study around Urban Oil Developments in South Los Angeles.International journal of environmental research and public health · 2018
    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

7 authors.

Ashley Collier-OxandaleDepartment of Environmental Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
Joanna Gordon CaseyDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
Ricardo PiedrahitaBerkeley Air Monitoring Group, Boulder, CO, USA.
John OrtegaNational Center for Atmospheric Research, Boulder, CO, 80301, USA.
Hannah HallidayNASA Langley Research Center, Hampton, VA, 23666, USA.
Jill JohnstonDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA.
Michael P HanniganDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.

Funding

Health and Air Pollution Near Urban Oil Drilling SitesR21ES027695 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JOHNSTON, JILL E · 2016 to 2017
$478k
NIEHS NIH HHS R21 ES027695
6 · The paper itself

Abstract

Low-cost sensors have the potential to facilitate the exploration of air quality issues on new temporal and spatial scales. Here we evaluate a low-cost sensor quantification system for methane through its use in two different deployments. The first was a one-month deployment along the Colorado Front Range and included sites near active oil and gas operations in the Denver-Julesberg basin. The second deployment was in an urban Los Angeles neighborhood, subject to complex mixtures of air pollution sources including oil operations. Given its role as a potent greenhouse gas, new low-cost methods for detecting and monitoring methane may aid in protecting human and environmental health. In this paper, we assess a number of linear calibration models used to convert raw sensor signals into ppm concentration values. We also examine different choices that can be made during calibration and data processing, and explore cross-sensitivities that impact this sensor type. The results illustrate the accuracy of the Figaro TGS 2600 sensor when methane is quantified from raw signals using the techniques described. The results also demonstrate the value of these tools for examining air quality trends and events on small spatial and temporal scales as well as their ability to characterize an area - highlighting their potential to provide preliminary data that can inform more targeted measurements or supplement existing monitoring networks.

Identifiers

PMID33442426
PMCPMC7802090

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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.