1. Sulfur Isotope Anomalies (Δ33S) in Urban Air Pollution Linked to Mineral-Dust-Associated Sulfate
- Author
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Sanjeev Dasari, Guillaume Paris, Bruna Saar, Qiaomin Pei, Zhiyuan Cong, David Widory, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Recherches Pétrographiques et Géochimiques (CRPG), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Institute of Tibetan Plateau Research, Chinese of Academy of Sciences, Chinese Academy of Sciences, Universite du Quebec a Montreal, and French National CNRS-INSU program LEFE (Les Enveloppes Fluides et l'Environnement)
- Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,Ecology ,Air Pollution ,Health, Toxicology and Mutagenesis ,Environmental Chemistry ,Sulfur Mass-Independent Fractionation (S-MIF) ,Particulate Matter ,Model-Observation Reconciliation ,[CHIM.OTHE]Chemical Sciences/Other ,Pollution ,Waste Management and Disposal ,UV radiation ,Water Science and Technology - Abstract
International audience; Sulfur isotope analysis provides a unique probe for source-specific information and certain atmospheric reactions. Globally, atmospheric aerosols in urban locations exhibit significant sulfur mass-independent fractionation (i.e., S-MIF, Δ33S ≠ 0). The origin(s) of these S-MIF anomalies remains unclear, thereby limiting the interpretation and/or application of such signals. Here, we conducted dual-isotope (Δ33S and δ34S) fingerprinting of sulfate aerosols from summertime megacity Delhi in south Asia. A shift toward concomitantly high Δ33S (from 0.2‰ to 0.5‰) and low δ34S (from 5‰ to 1‰) values was observed with the influx of mineral dust. The Fe:Al ratio showed significant correlations with both sulfate loadings (R2 = 0.84) and Δ33S signatures (R2 = 0.77). Contrary to the prevailing paradigm, this observational evidence suggests that mineral-dust-associated sulfate exhibits S-MIF anomalies. Atmospheric processing of mineral dust plausibly leads to the production of these anomalies. Our evaluation suggests that an inherent mechanism(s) remains elusive. Although hindered by end-member uncertainties, we show that S-MIF signals can be source apportioned to quantitatively constrain the fraction of mineral-dust-associated sulfate in urban locations. The influx of mineral-dust-associated sulfate can influence urban air pollution affecting air quality and/or human health and as such requires monitoring. Urban Δ33S signals can therefore be used to trace this sulfate fraction, thereby improving our understanding of sulfate aerosol dynamics.
- Published
- 2022
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