Climate & Environmentarticle2026-10-12

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

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Abstract

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 deposition kinetics in a large 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 deposition 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 (PM₂.₅–PM₆₃). A first-order kinetic model captured the deposition evolution and yielded an asymptotic cumulative deposition (𝑎), rate coefficient (𝑘), characteristic time scale (𝜏 = 1/𝑘), and initial deposition flux (𝐽0 = 𝑎𝑘). Across the tested wind speeds, net deposition for fine-to-medium particles (PM₂.₅–PM₄₀) is highest at 2 m s⁻¹ and becomes suppressed at higher speeds, with the strongest evidence for a peaked response in the 30 μm class. Quadratic fits across the four wind-speed levels suggest a potential maximum near 2–3 m s⁻¹. These measurements provide process-based constraints on low-wind dust deposition and highlight a potential intermediate-wind window that can inform and evaluate dry-deposition parameterizations.

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View paper (DOI)Open access versionOpenAlexAtmospheric chemistry and physicsPublished 2026-10-12

Authors: Ruochen Jia, Chaoqun Ba, Chao Zhang, Wennong Kuang, Yuan Liu, Zhigang Wang, Fang Liu, Zhiming Xin, Yuting Liu, Q L Ma, Lu Zong, Wei Liang, Jianqiang Qian, Zhimin Liu

Institutions: Chinese Academy of Sciences, University of Chinese Academy of Sciences, Institute of Applied Ecology, Chinese Academy of Forestry, Beijing Forestry University, Henan Agricultural University, Wuhan Botanical Garden, Inner Mongolia University of Finance and Economics, Desert Forestry Experimental Center, Hebei Minzu Normal University