Published August 22, 2024 | Published
Journal Article Open

Characterization of the particle size distribution, mineralogy, and Fe mode of occurrence of dust-emitting sediments from the Mojave Desert, California, USA

  • 1. ROR icon Barcelona Supercomputing Center
  • 2. ROR icon Institute of Environmental Assessment and Water Research
  • 3. ROR icon Universitat Politècnica de Catalunya
  • 4. ROR icon TU Darmstadt
  • 5. ROR icon University of Nova Gorica
  • 6. ROR icon Karlsruhe Institute of Technology
  • 7. ROR icon Planetary Science Institute
  • 8. ROR icon California Institute of Technology
  • 9. ROR icon Jet Propulsion Lab
  • 10. ROR icon Geophysical Fluid Dynamics Laboratory
  • 11. ROR icon Institució Catalana de Recerca i Estudis Avançats

Abstract

Constraining dust models to understand and quantify the effect of dust upon climate and ecosystems requires comprehensive analyses of the physiochemical properties of dust-emitting sediments in arid regions. Building upon previous studies in the Moroccan Sahara and Iceland, we analyse a diverse set of crusts and aeolian ripples (n=55) from various potential dust-emitting basins within the Mojave Desert, California, USA. Our focus is on characterizing the particle size distribution (PSD), mineralogy, aggregation/cohesion state, and Fe mode of occurrence. Our results show differences in fully and minimally dispersed PSDs, with crusts exhibiting average median diameters of 92 and 37 µm, respectively, compared to aeolian ripples with 226 and 213 µm, respectively. Mineralogical analyses unveiled strong variations between crusts and ripples, with crusts being enriched in phyllosilicates (24 % vs. 7.8 %), carbonates (6.6 % vs. 1.1 %), Na salts (7.3 % vs. 1.1 %), and zeolites (1.2 % and 0.12 %) and ripples being enriched in feldspars (48 % vs. 37 %), quartz (32 % vs. 16 %), and gypsum (4.7 % vs. 3.1 %). The size fractions from crust sediments display a homogeneous mineralogy, whereas those of aeolian ripples display more heterogeneity, mostly due to different particle aggregation. Bulk Fe content analyses indicate higher concentrations in crusts (3.0 ± 1.3 wt %) compared to ripples (1.9 ± 1.1 wt %), with similar proportions in their Fe mode of occurrence: nano-sized Fe oxides and readily exchangeable Fe represent ∼1.6 %, hematite and goethite ∼15 %, magnetite/maghemite ∼2.0 %, and structural Fe in silicates ∼80 % of the total Fe. We identified segregation patterns in the PSD and mineralogy differences in Na salt content within the Mojave basins, which can be explained by sediment transportation dynamics and precipitates due to groundwater table fluctuations described in previous studies in the region. Mojave Desert crusts show similarities with previously sampled crusts in the Moroccan Sahara in terms of the PSD and readily exchangeable Fe yet exhibit substantial differences in mineralogical composition, which should significantly influence the characteristic of the emitted dust particles.

Copyright and License

© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.

Published by Copernicus Publications on behalf of the European Geosciences Union.

Acknowledgement

We thank Richard Reynolds and an anonymous reviewer for the helpful comments and suggestions to improve the manuscript.

The field campaign and its associated research, including this work, were funded by the European Research Council under the Horizon 2020 Research and Innovation programme through the ERC Consolidator Grant FRAGMENT (grant agreement no. 773051) and the AXA Research Fund through the AXA Chair on Sand and Dust Storms at BSC. Cristina González-Flórez was supported by a PhD fellowship from the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) grant 2020_FI B 00678. Konrad Kandler was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, grant nos. 264907654 and 416816480). Martina Klose received funding through the Helmholtz Association's Initiative and Networking Fund (grant agreement no. VH-NG-1533). We acknowledge the EMIT project, which is supported by the NASA Earth Venture Instrument program, under the Earth Science Division of the Science Mission Directorate. We are grateful to Claire Blaske and Sahil Azad for assistance with sampling in the Mojave National Preserve. Samples within the preserve were collected under permit MOJA-2022-SCI-0034. We thank Rose Pettiette at the BLM office in Needles, CA, for advice and for allowing sampling on BLM land. We thank Jason Wallace and Anne Kelly from CSU Desert Studies Center at Zzyzx for their support during the campaign. Bethany L. Ehlmann, Rebecca N. Greenberger, and Abigail M. Keebler thank the Resnick Sustainability Institute at Caltech for partial support. Without all of the people mentioned, the sampling campaign would not have been successfully feasible.

Funding

This research has been supported by the European Research Council, EU H2020 (Consolidator Grant FRAGMENT, grant no. 773051); the AXA Research Fund (AXA Chair on Sand and Dust Storms BSC); the Agència de Gestió d'Ajuts Universitaris i de Recerca (grant no. 2020_FI B 00678); the Deutsche Forschungsgemeinschaft (grant nos. 264907654 and 416816480); the Helmholtz Association (grant no. VH-NG-1533); and the Earth Sciences Division (NASA Earth Venture Instrument – Science Mission Directorate).

The article processing charges for this open-access publication were covered by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).

Contributions

Sample permits were obtained by BLE, RNG, and AMK. The samples were collected by CPGP, AGR, AMK, RNG, and XQ and analysed by AGR, MHC, and NM. EMIT mineralogy maps we produced by RG, PB, and RNC. PG provided the FoO map. AGR analysed the data and wrote of the original draft manuscript, supervised by CPGP and XQ. CPGP and XQ re-edited the manuscript and all authors contributed to data discussion, review, and paper finalization.

Data Availability

Data used in this paper are given in the main paper itself and in the Supplement. If needed, data are also available upon request by emailing the authors.

Code Availability

The Tetracorder code used in this paper is provided at https://github.com/PSI-edu/spectroscopy-tetracorder by Clark (2023).

Supplemental Material

The supplement related to this article is available online at: https://doi.org/10.5194/acp-24-9155-2024-supplement.

Conflict of Interest

At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.

Additional Information

This paper was edited by Stelios Kazadzis and reviewed by Richard Reynolds and one anonymous referee.

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Additional details

Created:
January 9, 2025
Modified:
January 9, 2025