Evidence map›Paper›PMID 41620514›Full record

ArticleScientific reports2026

Trends and oscillation characteristics of hourly PM

Abdulla Al Kafy, Wafeek Mohamed Ibrahim, Abdullah Al Baky, Tekalign Ketema Bahiru

Abstract read
In one paragraph

Article in Scientific reports, 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.

Abdulla Al KafyDepartment of Geography and The Environment, The University of Texas at Austin, 1 University Station A3100, 305 E 23rd St, Austin, TX, 78712, USA. abdulla-al.kafy@localpathways.org.
Wafeek Mohamed IbrahimArchitecture Department, College of Architecture and Planning, King Khalid University, 394, Abha, Asser, Kingdom of Saudi Arabia.
Abdullah Al BakyDepartment of English, Bangladesh Army International University of Science and Technology, Cumilla, Bangladesh.
Tekalign Ketema BahiruDepartment of Geographic Information Science, Oda Bultum University, Chiro, Ethiopia. tekalign.ketema@obu.edu.et.

Funding

Deanship of Scientific Research, King Khalid University RGP1/98/46
6 · The paper itself

Abstract

Understanding the spatiotemporal dynamics of PM2.5 in arid urban environments is critical for effective air quality management and public health protection. This study investigates the diurnal variability, long-term trends, and climatic interactions of hourly PM2.5 levels in Kuwait City from 2017 to 2024 using wavelet coherence, lagged correlation, and non-parametric trend analyses. Results show significant diurnal variation in atmospheric loading, with PM2.5 concentrations peaking during summer evenings at 7 PM (63.3 µg/m3 in July), greatly reducing total solar irradiance (TSI) available for energy conversion. Monthly data indicate higher atmospheric particulate levels during May, July, and August, coinciding with peak solar energy demand periods. Trend analysis using Theil–Sen slopes indicates an overall decline in PM2.5 levels (− 4.1671 µg/m3/month in September), suggesting improved conditions for solar energy collection. Cross Wavelet Transform analysis uncovered persistent relationships between PM2.5 and meteorological factors influencing solar panel performance, including temperature, humidity, and wind patterns at 100–300-day scales. Multivariate regression identified wind speed at 50 m (− 2.05, p < 0.001), rainfall (− 0.24, p < 0.001), and TSI (− 0.004, p < 0.001) as significant predictors of atmospheric clarity for renewable energy systems. Lagged correlations confirmed delayed but strong influences of meteorological variables, peaking at lags of 11–30 h. The study provides evidence of the climatic regulation of PM2.5 in arid urban settings and underscores the need for integrated, weather-informed mitigation strategies to improve air quality and reduce health risks in desert cities.

Indexed as

Atmospheric loadingCross wavelet transformRenewable energy planningSolar photovoltaic systems

Identifiers

PMID41620514
PMCPMC12916937

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.