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Peer-reviewedCC BY 4.0Atmospheric Chemistry and Physics

Non-monotonic response of net dust deposition kinetics to low wind speeds

2 more authors
  1. 1Henan Agricultural University (Zhengzhou, China)
  2. 2Institute of Applied Ecology (Shenyang, China)

Abstract

Dry deposition is a major sink for mineral dust, yet its behavior under weak winds remains poorly constrained and is often parameterized monotonically with wind speed. Here we quantify size-resolved dust net accumulation kinetics in a closed-circuit recirculating wind tunnel using a two-stage protocol (brief high-wind loading followed by low-wind deposition at 0, 2, 4, and 6 m s ⁻¹ ). Cumulative retained-mass time series were measured with an array of collection trays, with the initial suspended dust loading recorded by an online concentration monitor. Particle sizes were characterized by laser diffraction and grouped into six diameter-threshold classes (PM 2.5 –PM ₆₃ ). A first-order kinetic model described the temporal accumulation dynamics and yielded a fitted asymptotic retained mass ( a ), effective net-accumulation rate coefficient ( k ), characteristic time scale (τ=1/k), and initial net accumulation flux ( J ₀ = a k ). The observed J ₀ was highest at 2 m s ⁻¹ for PM 2.5 –PM ₃₀ , and 4 m s ⁻¹ for PM ₄₀ and PM ₆₃ , while J ₀ declined markedly at 6 m s ⁻¹ for the lower diameter thresholds. Quadratic fits across the four wind-speed levels suggest a potential maximum near 2–3 m s ⁻¹ for PM 2.5 –PM ₄₀ . These measurements quantify the size-dependent response of effective surface retention to low wind speeds and provide benchmark behavior for coupled deposition, retention, and re-entrainment parameterizations.

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BibTeX
@article{jia2026nonmonotonic,
  title = {{Non-monotonic response of net dust deposition kinetics to low wind speeds}},
  author = {Ruochen Jia and Chaoqun Ba and Chao Zhang and Wennong Kuang and Yuan Liu and Zhigang Wang and Fang Liu and Zhiming Xin and Yuting Liu and Qun Ma and Lu Zong and Wei Liang and Jianqiang Qian and Zhimin Liu},
  journal = {Atmospheric Chemistry and Physics},
  year = {2026},
  month = oct,
  doi = {10.5194/acp-26-14245-2026},
  url = {https://acp.copernicus.org/articles/26/14245/2026/},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Non-monotonic response of net dust deposition kinetics to low wind speeds
AU  - Ruochen Jia
AU  - Chaoqun Ba
AU  - Chao Zhang
AU  - Wennong Kuang
AU  - Yuan Liu
AU  - Zhigang Wang
AU  - Fang Liu
AU  - Zhiming Xin
AU  - Yuting Liu
AU  - Qun Ma
AU  - Lu Zong
AU  - Wei Liang
AU  - Jianqiang Qian
AU  - Zhimin Liu
PY  - 2026
DA  - 2026/10/12
JO  - Atmospheric Chemistry and Physics
DO  - 10.5194/acp-26-14245-2026
UR  - https://acp.copernicus.org/articles/26/14245/2026/
AB  - Dry deposition is a major sink for mineral dust, yet its behavior under weak winds remains poorly constrained and is often parameterized monotonically with wind speed. Here we quantify size-resolved dust net accumulation kinetics in a closed-circuit recirculating wind tunnel using a two-stage protocol (brief high-wind loading followed by low-wind deposition at 0, 2, 4, and 6 m s ⁻¹ ). Cumulative retained-mass time series were measured with an array of collection trays, with the initial suspended dust loading recorded by an online concentration monitor. Particle sizes were characterized by laser diffraction and grouped into six diameter-threshold classes (PM 2.5 –PM ₆₃ ). A first-order kinetic model described the temporal accumulation dynamics and yielded a fitted asymptotic retained mass ( a ), effective net-accumulation rate coefficient ( k ), characteristic time scale (τ=1/k), and initial net accumulation flux ( J ₀ = a k ). The observed J ₀ was highest at 2 m s ⁻¹ for PM 2.5 –PM ₃₀ , and 4 m s ⁻¹ for PM ₄₀ and PM ₆₃ , while J ₀ declined markedly at 6 m s ⁻¹ for the lower diameter thresholds. Quadratic fits across the four wind-speed levels suggest a potential maximum near 2–3 m s ⁻¹ for PM 2.5 –PM ₄₀ . These measurements quantify the size-dependent response of effective surface retention to low wind speeds and provide benchmark behavior for coupled deposition, retention, and re-entrainment parameterizations.
SN  - 1680-7324
ER  -