Evidence map›Paper›PMID 37107880›Full record

ArticleInternational journal of environmental research and public health2023

Exposure Assessment of Ambient PM2.5 Levels during a Sequence of Dust Episodes: A Case Study Coupling the WRF-Chem Model with GIS-Based Postprocessing.

Enrico Mancinelli, Elenio Avolio, Mauro Morichetti, Simone Virgili, Giorgio Passerini, Alessandra Chiappini, Fabio Grasso, Umberto Rizza

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Enrico MancinelliDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0001-5624-1282
Elenio AvolioNational Research Council-Institute of Atmospheric Sciences and Climate (CNR-ISAC), 88046 Lamezia Terme, Italy.ORCID 0000-0002-9692-6208
Mauro MorichettiNational Research Council-Institute of Atmospheric Sciences and Climate (CNR-ISAC), 73100 Lecce, Italy.ORCID 0000-0002-2598-833X
Simone VirgiliDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
Giorgio PasseriniDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-1524-7933
Alessandra ChiappiniDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
Fabio GrassoNational Research Council-Institute of Atmospheric Sciences and Climate (CNR-ISAC), 73100 Lecce, Italy.
Umberto RizzaNational Research Council-Institute of Atmospheric Sciences and Climate (CNR-ISAC), 73100 Lecce, Italy.ORCID 0000-0002-7633-3878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sequence of dust intrusions occurred from the Sahara Desert to the central Mediterranean in the second half of June 2021. This event was simulated by means of the Weather Research and Forecasting coupled with chemistry (WRF-Chem) regional chemical transport model (CTM). The population exposure to the dust surface PM2.5 was evaluated with the open-source quantum geographical information system (QGIS) by combining the output of the CTM with the resident population map of Italy. WRF-Chem analyses were compared with spaceborne aerosol observations derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and, for the PM2.5 surface dust concentration, with the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis. Considering the full-period (17-24 June) and area-averaged statistics, the WRF-Chem simulations showed a general underestimation for both the aerosol optical depth (AOD) and the PM2.5 surface dust concentration. The comparison of exposure classes calculated for Italy and its macro-regions showed that the dust sequence exposure varies with the location and entity of the resident population amount. The lowest exposure class (up to 5 µg m

Indexed as

Air PollutantsAir PollutionAerosolsDustEnvironmental MonitoringGeographic Information SystemsParticulate MatterRetrospective StudiesAerosolsAir PollutantsDustParticulate Matterair pollutiondustdust alert systemgeographical information systempopulation exposureregional chemical transport modelrisk prediction systemshort-term exposure

Identifiers

PMID37107880
PMCPMC10139170

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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.