Wildfires Drive Sulfur Isotope Anomalies on the Himalayan-Tibetan Plateau
Year: 2026
Type: article
Abstract: Mass-independent fractionation (MIF) of sulfur (S) isotopes has been reported for tropospheric sulfate aerosols; however, the mechanisms responsible for these anomalies remain poorly constrained. Here, we present δ 34 S and Δ 33 S isotope compositions of sulfate aerosols (PM 2.5 ) collected from two sites on the Himalayan-Tibetan Plateau (HTP) region, encompassing both the forest wildfire period and the nonwildfire period on the southern slopes of the Himalayas. Elevated Δ 33 S values were observed during the wildfire season at both QOMS and SETS, suggesting that forest wildfire emissions are an important contributor to sulfur MIF signals over the HTP. We hypothesize that at least two heterogeneous formation pathways contribute to the generation of S-MIF during the wildfire season: (i) a black carbon (BC)-catalyzed sulfate formation pathway associated with negative Δ 33 S anomalies, and (ii) a pathway linked to (NH 4 ) 2 SO 4 formation under NH 3 -rich conditions, marked by positive Δ 33 S anomalies. In addition, stratospheric intrusions contribute minimally to the observed Δ 33 S variability, with their signatures largely overprinted by wildfire-related processes, particularly in spring. Our results provide new observational constraints on sulfur isotope fractionation mechanisms in the modern troposphere and highlight the important role of wildfire-driven heterogeneous chemistry in modulating the atmospheric sulfur cycle over the HTP.
Source: ACS ES&T Air
Institutions: Peking University, Université du Québec à Montréal, Geotop, Centre National de la Recherche Scientifique, Centre de Recherches Pétrographiques et Géochimiques, Université de Lorraine, Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Institute of Tibetan Plateau Research, University of Oxford, Nanjing University of Information Science and Technology
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
Awards: G3141614868, G8084981437, G846999564
OpenAlex ID: W7140114538
