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A measurement-driven cross-sectional method to assess the dynamics and flux of dust transport

Title: A measurement-driven cross-sectional method to assess the dynamics and flux of dust transport
Authors: Changqing Lin; Xuejiao Deng; Teng Yao; Xingcheng Lu; Jimmy C. H. Fung; Wenqing Liu; Tianshu Zhang
Source: npj Natural Hazards, Vol 3, Iss 1, Pp 1-8 (2026)
Publisher Information: Nature Portfolio, 2026.
Publication Year: 2026
Collection: LCC:Meteorology. Climatology; LCC:Disasters and engineering
Subject Terms: Meteorology. Climatology; QC851-999; Disasters and engineering; TA495
Description: Abstract During dust storms, dust particles are transported within a few kilometers above the ground. However, the dynamics and flux of dust transport at these altitudes are not fully understood. In this study, we employed a synergistic wind-particle profiling system in southern China to gather detailed vertical data on both aerosol characteristics and atmospheric dynamics during an unusually severe dust storm that transported from northern to southern China in April 2025. A measurement-driven cross-sectional method was developed to investigate the vertical distribution characteristics of transport dynamics and southward flux of dust, and to assess total amount of dust transported across the country. An intense spring cold front, combined with high dust emissions from the Gobi Desert, drove this southward transport. During the lower-level transport period, dust was primarily transported below 1.5 km, with a maximum southward flux density of 4.9 ± 2.9 g/m² at 775 m. The higher-level transport period exhibited a bimodal flux pattern. Additionally, the west-east distribution of dust concentration followed a Gaussian distribution. The total dust flux transported to southern China during the entire event was approximately 2.48 × 105 tons. Our cross-sectional approach supports quantitative investigations of the transport dynamics of various atmospheric components above the ground.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2948-2100
Relation: https://doaj.org/toc/2948-2100
DOI: 10.1038/s44304-026-00166-y
Access URL: https://doaj.org/article/c8a200445d4e49eab7e09508f16ab94e
Accession Number: edsdoj.8a200445d4e49eab7e09508f16ab94e
Database: Directory of Open Access Journals