2022
DOI: 10.1029/2021pa004356
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Spatial and Temporal Trends in Mineral Dust Provenance in the South Pacific—Evidence From Mixing Models

Abstract: Nutrients delivered to the marine environment by dust may play a key role in regulating biogeochemical cycles, in particular in remote ocean areas where nutrients may otherwise be limited (

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Cited by 13 publications
(16 citation statements)
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References 84 publications
(203 reference statements)
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“…Recognizing that air pollution inherently represents a mixture of sources, we wanted to quantify the contributions of Pb from coal-burning and non-ferrous metal smelting to the calculated pollution end-member as these two sources represent the main contributors of Pb emissions following the phase-out of leaded gasoline in China. We used MixSIAR, an advanced Bayesian isotope mixing model, to quantify the contributions of Pb from Chinese ore and coal sources to our calculated pollution end-member (see the SI). The end-member values are defined as the mean ± 1σ of the published data for each source (Table S1, Figure and Figure S5).…”
Section: Resultsmentioning
confidence: 99%
“…Recognizing that air pollution inherently represents a mixture of sources, we wanted to quantify the contributions of Pb from coal-burning and non-ferrous metal smelting to the calculated pollution end-member as these two sources represent the main contributors of Pb emissions following the phase-out of leaded gasoline in China. We used MixSIAR, an advanced Bayesian isotope mixing model, to quantify the contributions of Pb from Chinese ore and coal sources to our calculated pollution end-member (see the SI). The end-member values are defined as the mean ± 1σ of the published data for each source (Table S1, Figure and Figure S5).…”
Section: Resultsmentioning
confidence: 99%
“…For this reason, previous dust provenance work in the South Pacific focused on tracers that are typically less sensitive to grain size effects, e.g., Nd and Pb isotopes ( 51 ). Recent tests with different mixing model configurations demonstrate that source apportionment in the dust fraction of South Pacific marine sediments shows only modest changes between setups with and without Sr isotopes ( 52 ). However, our data show a considerable 87 Sr/ 86 Sr change of ∼0.005 coinciding with an ε Nd excursion of ∼2 between ∼70,000 and 40,000 y BP ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…As airborne dust particle size is controlled primarily by gravitational settling ( 2 , 49 ), these differences were suggested to result from changes in dust sources, namely, wind and transport patterns specific to the different sectors of the Southern Ocean ( 48 ). Recent provenance studies support a more nuanced picture of dust sources and transport routes in the Southern Hemisphere during glacial and interglacial periods ( 36 , 50 52 ).…”
mentioning
confidence: 92%
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“…MixSIAR is a Bayesian mixing model developed for use in stable isotope studies (Stock et al., 2018; Stock & Semmens, 2016). By considering the dust compositions in aerosol samples as mixtures and the isotopic signatures of North African PSAs as sources, MixSIAR is able to estimate the mixture of dust from different North African PSAs that satisfy isotopic mass balance in our dust samples (Longman et al., 2022; see Figure S1 in Supporting Information ). Through incorporating standard deviations of the sources, the model considers variation in the isotopic signature of PSAs when considering likely model fits.…”
Section: Methodsmentioning
confidence: 99%