Evidence map›Paper›PMID 37050621›Full record

ArticleSensors (Basel, Switzerland)2023

UAV-Based Wildland Fire Air Toxics Data Collection and Analysis.

Prabhash Ragbir, Ajith Kaduwela, David Passovoy, Preet Amin, Shuchen Ye, Christopher Wallis, Christopher Alaimo, Thomas Young, Zhaodan Kong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Prabhash RagbirDepartment of Mechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
Ajith KaduwelaAir Quality Research Center, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.ORCID 0000-0002-7236-2698
David PassovoyCalifornia Department of Forestry and Fire Protection, 715 P St., Sacramento, CA 95814, USA.
Preet AminDepartment of Mechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
Shuchen YeDepartment of Mechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
Christopher WallisAir Quality Research Center, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
Christopher AlaimoDepartment of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
Thomas YoungDepartment of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.ORCID 0000-0001-7217-4753
Zhaodan KongDepartment of Mechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.ORCID 0000-0002-2493-1366

Funding

UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Irva Hertz-Picciotto · 2015 to 2026
$26.0M
NIEHS NIH HHS P30 ES023513
6 · The paper itself

Abstract

Smoke plumes emitted from wildland-urban interface (WUI) wildfires contain toxic chemical substances that are harmful to human health, mainly due to the burning of synthetic components. Accurate measurement of these air toxics is necessary for understanding their impacts on human health. However, air pollution is typically measured using ground-based sensors, manned airplanes, or satellites, which all provide low-resolution data. Unmanned Aerial Vehicles (UAVs) have the potential to provide high-resolution spatial and temporal data due to their ability to hover in specific locations and maneuver with precise trajectories in 3-D space. This study investigates the use of an octocopter UAV, equipped with a customized air quality sensor package and a volatile organic compound (VOC) air sampler, for the purposes of collecting and analyzing air toxics data from wildfire plumes. The UAV prototype developed has been successfully tested during several prescribed fires conducted by the California Department of Forestry and Fire Protection (CAL FIRE). Data from these experiments were analyzed with emphasis on the relationship between the air toxics measured and the different types of vegetation/fuel burnt. BTEX compounds were found to be more abundant for hardwood burning compared to grassland burning, as expected.

Indexed as

air quality monitoringlow-cost sensorssmoke plumesUnmanned Aerial Vehiclesvolatile organic compoundswildfire

Identifiers

PMID37050621
PMCPMC10098707

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.