Evidence map›Paper›PMID 37860557›Full record

ArticleHeliyon2023

Air pollution dispersion in Hail city: Climate and urban topography impact.

Walid Hassen, Nidhal Hnaien, Lotfi Ben Said, Faris Mohammed Albati, Badreddine Ayadi, Wajdi Rajhi, Lioua Kolsi

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

7 authors.

Walid HassenLaboratory of Metrology and Energy Systems, Department of Energy Engineering, University of Monastir, Monastir, 5000, Tunisia.
Nidhal HnaienDepartment of Energy Engineering, College of Engineering, University of Monastir, Monastir, 5000, Tunisia.
Lotfi Ben SaidDepartment of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, Saudi Arabia.
Faris Mohammed AlbatiCollege of Sharia and Law, University of Ha'il, Ha'il City, Saudi Arabia.
Badreddine AyadiDepartment of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, Saudi Arabia.
Wajdi RajhiDepartment of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, Saudi Arabia.
Lioua KolsiDepartment of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the rapid urbanization of many cities around the world, industrial manufacturing plants have been expanded quickly, leading to the discharge of large amounts of pollutants into the environment. Consequently, a significant deterioration in local air quality is recorded, representing a high health risk for the city's residents. In this context, the main objective of this work is to understand the dispersion of gas pollution in high-density urban environments, specifically the Hail region of Saudi Arabia. The simulations carried out with Ansys Fluent 19.0 were based on actual climatic conditions, with particular attention paid to accurately reproducing the exact topography of the study area. The main results concern the characterization of flow behavior and the dispersion of gas pollutants emitted by power plants. Several factors, including building geometry and wind speed, are examined. The study reveals that for a reference wind speed of more than 7 m/s, gaseous pollution exhibits a significant tendency to accumulate within buildings, resulting in significant concentrations.

Indexed as

Air pollutionClimatic conditionsHail cityNumerical studyThermal power plantsUrban topography

Identifiers

PMID37860557
PMCPMC10582313

What OpenQuestion holds

Textmetadata
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.