| Literature DB >> 36045131 |
Buqing Xu1,2, Gan Zhang3,4, Örjan Gustafsson5, Kimitaka Kawamura6, Jun Li1,2, August Andersson7, Srinivas Bikkina6,8, Bhagawati Kunwar6, Ambarish Pokhrel6,9, Guangcai Zhong1,2, Shizhen Zhao1,2, Jing Li1,2, Chen Huang1,2, Zhineng Cheng1,2, Sanyuan Zhu1,2, Pingan Peng1,2, Guoying Sheng1,2.
Abstract
Incomplete understanding of the sources of secondary organic aerosol (SOA) leads to large uncertainty in both air quality management and in climate change assessment. Chemical reactions occurring in the atmospheric aqueous phase represent an important source of SOA mass, yet, the effects of anthropogenic emissions on the aqueous SOA (aqSOA) are not well constrained. Here we use compound-specific dual-carbon isotopic fingerprints (δ13C and Δ14C) of dominant aqSOA molecules, such as oxalic acid, to track the precursor sources and formation mechanisms of aqSOA. Substantial stable carbon isotope fractionation of aqSOA molecules provides robust evidence for extensive aqueous-phase processing. Contrary to the paradigm that these aqSOA compounds are largely biogenic, radiocarbon-based source apportionments show that fossil precursors produced over one-half of the aqSOA molecules. Large fractions of fossil-derived aqSOA contribute substantially to the total water-soluble organic aerosol load and hence impact projections of both air quality and anthropogenic radiative forcing. Our findings reveal the importance of fossil emissions for aqSOA with effects on climate and air quality.Entities:
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Year: 2022 PMID: 36045131 PMCID: PMC9433442 DOI: 10.1038/s41467-022-32863-3
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694
Fig. 1Meteorology and general aerosol chemical characteristics of the study site (Heshan city).
The average aerosol optical depth (AOD) at 550 nm during June 2017 to May 2018 over the East Asia region are shown. The mean air mass back trajectories (BT) based on HYSPLIT cluster analysis show two dominant air mass transport pathways (dashed line and arrows): continental outflow (62% of the total clusters) and oceanic air masses (38% of total clusters). See Supplementary Fig. 2 for the 72-h BT with a 6-h interval and Supplementary Fig. 3 for relative cluster contribution. The bar charts depict the mass concentrations of total carbonaceous aerosol [TCA = organic matter (OM) + elemental carbon (EC)], anthropogenic WSIC [WSICanth = non-sea-salt (nss) K+ + nss-SO42- + NH4+ + NO3− + nss-Cl−], and aerosol liquid water (ALW). The AOD data is obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) observations (https://giovanni.gsfc.nasa.gov/giovanni/). The coastline boundaries in the map are originated from Natural Earth free vector map data (https://www.naturalearthdata.com/). The administration boundaries in the map are originated from map products of National Geomatics Center of China (https://www.webmap.cn/).
Fig. 2Year-round variability of mass concentration and carbon isotopic composition of oxalic acid at the Heshan city.
The unshaded periods represent coastal background air mass regime, while the shadowed periods represent continental outflow air mass regime. Red and blue bars represent the concentration of oxalic acid during coastal background air mass regime and continental outflow air mass regime, respectively. The orange and green symbols show the δ13C composition and 14C-based fraction of non-fossil for oxalic acid.
Fig. 3Stable carbon isotopic evidence of aqueous secondary organic aerosol (aqSOA) formation.
a Average δ13C values of saturated aliphatic dicarboxylic acids (C2−C9), aromatic dicarboxylic acids [phthalic acid (Ph) and terephthalic acid (tPh)], and oxocarboxylic acids [glyoxylic acid (ωC2) and pyruvic acid (Pyr)] for the two air mass regimes. The error bars indicate the 95% confidence interval of δ13C values in each air mass regime. Pink shadows represent the compounds for which the δ13C values are statistically significantly different (p < 0.05) between the two air mass origins. b Relationships between oxalic acid mass concentration and aerosol liquid water (ALW). c Relationships between δ13C-oxalic acid and mass concentration of water-soluble organic carbon (WSOC) as a proxy for aqSOA abundance.
Fig. 4Radiocarbon-based source apportionment of dicarboxylic acids and related compounds.
a Relationships between biogenic/biomass burning (bio/bb) source-derived oxalic acid vs. levoglucosan. b Relationships between bio/bb source-derived oxalic acid vs. biogenic secondary organic aerosol (SOA) tracer (include isoprene SOA tracers and α/β−pinene SOA tracers; Supplementary Method 1). c Monthly variability of non-fossil contribution to oxalic acid, malonic acid, succinic acid, glyoxylic acid, and methylglyoxal. The error bars represent ±1 standard deviation for total propagated uncertainty (Supplementary Method 3). d Relative contribution of biogenic emission, biomass burning, and fossil-fuel emission to oxalic acid in coastal background and continental outflow.
Fig. 5Two-dimensional dual-carbon isotope characterization of individual oxalic acid for coastal background and continental outflow.
The color of the symbols represents the oxalic acid concentration. The δ13C source signatures of oxalic acid precursor gases from biogenic volatile organic compounds (BVOCs; i.e., isoprene) and from anthropogenic volatile organic compounds (AVOCs; i.e., anthropogenic emitted non-methane hydrocarbons) are obtained from reported literature values (Supplementary Table 5). The two ovals include the coastal background samples and the majority of the continental outflow samples, respectively. The shadowed pink circle remarks the outliers of continental samples subjected to strong atmospheric aging.
Fig. 6The δ13C composition and 14C-based source apportionment of water-soluble organic carbon (WSOC) and oxalic acid in PM2.5 collected from five emission hotspot megacities of China.
a Locations of the five megacities (Beijing, Guangzhou, Wuhan, Chengdu and Shanghai) and average fossil fuel CO2 (FF CO2) emissions during the year 2018. FF CO2 emissions indicating high levels of anthropogenic activities over the five megacities. The FF CO2 emission data is obtained from Open-source Data Inventory for Anthropogenic CO2 (https://db.cger.nies.go.jp/dataset/ODIAC/DL_odiac2020b.html). The coastline boundaries in the map are originated from Natural Earth free vector map data (https://www.naturalearthdata.com/). The administration boundaries in the map are originated from map products of National Geomatics Center of China (https://www.webmap.cn/). b The difference of δ13C and 14C-based fraction of non-fossil sources between oxalic acid and WSOC in winter (January 2018) and in summer (July 2018), respectively. The error bars for δ13C composition represent the relative standard deviation for repeat analyses (n = 3). The error bars for 14C-based fraction of non-fossil sources represent ±1 standard deviation for total propagated uncertainty (Supplementary Method 3).