Evidence map›Paper›PMID 42440051›Full record

ArticleEnvironmental science and pollution research international2026

CO and NO

Alline Gomes Lamenha E Silva, Mônica Regina Garcez, Lélio Antônio Teixeira Brito

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 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

3 authors.

Alline Gomes Lamenha E SilvaEnvironment Department, Federal Institute of Education Science and Technology of Alagoas: Instituto Federal de Educacao Ciencia e Tecnologia de Alagoas, Eng. Joaquim Gonçalves Highway - Dom Constantino, Penedo, Alagoas, 57200-000, Brazil. alline.silva@ifal.edu.br.ORCID http://orcid.org/0000-0002-1064-4876
Mônica Regina GarcezPavement Laboratory (LAPAV), Federal University of Rio Grande Do Sul: Universidade Federal Do Rio Grande Do Sul, Bento Gonçalves Avenue, 9500, Building 43816 - Agronomia, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.
Lélio Antônio Teixeira BritoPavement Laboratory (LAPAV), Federal University of Rio Grande Do Sul: Universidade Federal Do Rio Grande Do Sul, Bento Gonçalves Avenue, 9500, Building 43816 - Agronomia, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land-use dynamics and road infrastructure are key anthropogenic drivers of air pollution in tropical landscapes undergoing rapid transformation. This study investigates how land cover and proximity to major roads influence carbon monoxide (CO) and nitrogen dioxide (NO₂) concentrations in a transitional region between the Amazon and Cerrado biomes, in Brazil. Sentinel-5P (TROPOMI) satellite data from December 2018 to August 2024 were used to analyze spatial patterns, test statistical differences across land-use/cover (LULC) classes and highway buffer zones, and forecast pollutant trends for 2024-2025 using the Prophet model. Results demonstrate that LULC influences pollutant variability: CO concentrations respond most strongly to biomass-burning episodes, whereas emissions from urban areas and vehicle traffic along transportation corridors primarily influence NO₂. Forecasts predict rising pollutant burdens across all subsets, with CO growth rates ranging from 2.7% y⁻

Indexed as

Carbon MonoxideNitrogen DioxideAir PollutantsAir PollutionBrazilEnvironmental MonitoringTropical ClimateVehicle EmissionsAir PollutantsCarbon MonoxideNitrogen DioxideVehicle EmissionsAir pollutantsLand use and land coverProphet forecastingVehicular emissions

Identifiers

PMID42440051
PMCPMC13424251

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.