The Influence of Near-Surface Ground Features on Near-Surface Airflow

Dust and sand storms occurring in northern China are strongly controlled by near-surface aerodynamics, yet the spatial heterogeneity of these processes remains poorly understood. We obtained field measurements of the wind above gobis, sandy surfaces, and dry lakebeds in the Hexi Corridor Desert and Heihe River Basin, and sandy surfaces in northern China. First, the slope of wind profile (a1) reveals distinct drag reversal with increasing wind speed: under low winds, a1 increases from sandy to dry lakebed to gobi surfaces, whereas under high winds, actively saltating sandy surfaces exhibit the highest a1, surpassing gobi and dry lakebed. Second, the dynamic feedback between sediment transport and aerodynamics is clear: at below-threshold winds, friction velocity (u*) and aerodynamic roughness length (z0) are lowest for sand; however, as wind speed increases to initiate significant saltation, the sandy surface develops the highest u* and z0, highlighting the dominant role of grain-borne roughness. Third, the focal height (zf) shows regional disparity, varying by up to two orders of magnitude for both sandy and gobi surfaces, with a strong correlation to local gravel coverage. This work provides spatially explicit parameterizations of surface type, offering a physical basis for modeling dust emission and transport in northern China and similar arid regions globally. Such parameterizations are essential for developing reliable early warning systems and evidence-based land management strategies. These advances contribute directly to ecosystem sustainability and community resilience in vulnerable arid and semi-arid regions under climate change.

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Publication Details

Journal
Sustainability
Published
2026-03-16
DOI
https://doi.org/10.3390/su18062910
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
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article

The Influence of Near-Surface Ground Features on Near-Surface Airflow

Kaijia Pan, Zhengcai Zhang, Guangqiang Qian, Yan Zhang
Sustainability
Aeolian processes and effects
article

The Influence of Near-Surface Ground Features on Near-Surface Airflow

Kaijia Pan, Zhengcai Zhang, Guangqiang Qian, Yan Zhang
article en

Abstract

Dust and sand storms occurring in northern China are strongly controlled by near-surface aerodynamics, yet the spatial heterogeneity of these processes remains poorly understood. We obtained field measurements of the wind above gobis, sandy surfaces, and dry lakebeds in the Hexi Corridor Desert and Heihe River Basin, and sandy surfaces in northern China. First, the slope of wind profile (a1) reveals distinct drag reversal with increasing wind speed: under low winds, a1 increases from sandy to dry lakebed to gobi surfaces, whereas under high winds, actively saltating sandy surfaces exhibit the highest a1, surpassing gobi and dry lakebed. Second, the dynamic feedback between sediment transport and aerodynamics is clear: at below-threshold winds, friction velocity (u*) and aerodynamic roughness length (z0) are lowest for sand; however, as wind speed increases to initiate significant saltation, the sandy surface develops the highest u* and z0, highlighting the dominant role of grain-borne roughness. Third, the focal height (zf) shows regional disparity, varying by up to two orders of magnitude for both sandy and gobi surfaces, with a strong correlation to local gravel coverage. This work provides spatially explicit parameterizations of surface type, offering a physical basis for modeling dust emission and transport in northern China and similar arid regions globally. Such parameterizations are essential for developing reliable early warning systems and evidence-based land management strategies. These advances contribute directly to ecosystem sustainability and community resilience in vulnerable arid and semi-arid regions under climate change.

SustainabilityVol. 18(6)
Chinese Academy of Sciences (CN), Shaanxi Xueqian Normal University (CN), Northwest Institute of Eco-Environment and Resources (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN)
Life in Land
Openalex Percentile: Top 18%
Aeolian processes and effects
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