The challenge of identifying dust events in a highly polluted Eastern Mediterranean region.
None
Air quality
Atmospheric vertical profile
Dust definition bias
Mixed pollution source
Polly-lidar
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
05 Sep 2024
05 Sep 2024
Historique:
received:
23
06
2024
revised:
08
08
2024
accepted:
29
08
2024
medline:
8
9
2024
pubmed:
8
9
2024
entrez:
7
9
2024
Statut:
aheadofprint
Résumé
Dust pollution largely impacts our environment, health and well-being. However, there is no agreement on how dust-contaminated days are identified to study exposures, as methods differ across disciplines. Different quantitative thresholds, which rely on ground measurements, are generally used to define these events. In this study, we used ground-based lidar measurements to detect dust layers. The dataset was then compared to methods that are widely used to define the presence of dust on the ground. Our results show that dust layers extend to a height of up to 10 km and a depth of up to 6.3 km. We show that at least 50 % of days that include dust components according to the lidar were not included by any of the methods that we investigated. As a result, these days are not considered in many health-related studies and climate models. Many dust events exhibit a high anthropogenic component and can be misinterpreted: (Ångström exponent>1.2), high-altitude (on average above 1.7 km) and relatively shallow (average depth 1.4 km) dust layers, and low PM
Identifiants
pubmed: 39244043
pii: S0048-9697(24)06076-5
doi: 10.1016/j.scitotenv.2024.175920
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
175920Informations de copyright
Copyright © 2024. Published by Elsevier B.V.