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
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

175920

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Irina Rogozovsky (I)

Porter School of the Environment and Earth Sciences, Faculty of Exact Sciences, Department of Geography and Human Environment, Tel Aviv University, Tel Aviv 69978, Israel. Electronic address: irinar@mail.tau.ac.il.

Albert Ansmann (A)

Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany.

Holger Baars (H)

Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany.

Ronny Engelmann (R)

Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany.

Alexandra Chudnovsky (A)

Porter School of the Environment and Earth Sciences, Faculty of Exact Sciences, Department of Geography and Human Environment, Tel Aviv University, Tel Aviv 69978, Israel. Electronic address: achudnov@tauex.tau.ac.il.

Classifications MeSH