Evidence map›Paper›PMID 42070828›Full record

ArticleJournal of environmental sciences (China)2026

Wildfire-impact identification in the Western USA using numerical techniques.

Siying Lu, Chiranjivi Bhattarai, W Patrick Arnott, Andrey Khlystov

Abstract read
In one paragraph

Article in Journal of environmental sciences (China), 2026. 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

4 authors.

Siying LuDivision of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA.
Chiranjivi BhattaraiDivision of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA.
W Patrick ArnottDepartment of Physics, University of Nevada, Reno, NV 89557, USA.
Andrey KhlystovDivision of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA. Electronic address: andrey.khlystov@dri.edu.

Funding

Associations of smoke from wildfires and prescribed burns with cardiorespiratory health outcomes in Reno, NVR01ES029528 · NIEHS · UNIVERSITY OF NEVADA RENO · PI STRICKLAND, MATTHEW J. · 2019 to 2024
$2.9M
NIEHS NIH HHS R01 ES029528
6 · The paper itself

Abstract

Aerosols exhibited distinct particle size distribution (PSD) characteristics under wildfire smoke influence compared to clean conditions. To assess the impact of wildfire smoke, the k-means clustering algorithm was applied using three types of data: air pollutant concentrations (PM

Indexed as

Air PollutionWildfiresClustering AlgorithmsParticulate MatterSmokeUnited StatesParticulate MatterSmokeAir pollutantsk-meansMachine learningParticle size distributionRandom ForestWildfire emissions

Identifiers

PMID42070828
PMCPMC13271672

What OpenQuestion holds

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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.