Chao Qiao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chao Qiao has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Galymzhan Saparov
Research Centre of Ecology and Environment of Central Asia (Almaty), Almaty 050060, Kazakhstan
1 shared publication - Hamid Gholami
Department of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Iran
1 shared publication - Haoru Wei
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
1 shared publication - Mingyu Zhang
Xi’an Institute for Innovative Earth Environment Research, Xi’an 710061, China
1 shared publication - Nosir Shukurov
Institute of Geology and Geophysics, University of Geological Sciences, Tashkent, Uzbekistan
1 shared publication - Rustam Orozbaev
Institute of Geology, National Academy of Sciences of the Kyrgyz Republic, Bishkek 720040, Kyrgyzstan
1 shared publication
Latest Publications
- Open Access
- 27 June 2026
- Published by MDPI AG in Atmosphere
- Vol. 17 (7) , 633
Spatial Heterogeneity of Surface Soil Grain Size in Central Asia and Its Response to Seasonal Atmospheric Circulation Dynamics
Surface soil grain-size distribution (GSD) is a fundamental terminal record of aeolian processes and land-surface erodibility. However, a macro-scale understanding of GSD spatial heterogeneity and its quantitative coupling with seasonal atmospheric circulation dynamics in Central Asia remains insufficient. Based on an extensive dataset of 325 surface soil samples across Kazakhstan, Uzbekistan, Kyrgyzstan, and Tajikistan, this study systematically investigates the GSD patterns and their climatic drivers. Our results reveal a pronounced spatial gradient: coarse-textured soils dominate the northwestern and eastern desert plains, whereas fine-grained sediments are sequestered in the southeastern mountain-basin systems. We demonstrate that this heterogeneity is rigorously governed by seasonal wind regimes: the Siberian High directs coarse particle entrainment and transport during spring, while the mid-latitude westerlies and local topographic modulation (e.g., the Tian Shan and Pamir barriers) control the fine-grained sorting continuum. Furthermore, the desiccated Aral Sea bed serves as a distinctive anthropogenic dust source, perturbing regional natural sorting patterns. These findings provide critical empirical constraints for dust emission modeling and underscore the sensitivity of Central Asian land surfaces to shifting atmospheric circulation patterns.
- 27 June 2026
- Published by MDPI AG in Atmosphere
- Vol. 17 (7) , 633
Open AccessSpatial Heterogeneity of Surface Soil Grain Size in Central Asia and Its Response to Seasonal Atmospheric Circulation Dynamics
Surface soil grain-size distribution (GSD) is a fundamental terminal record of aeolian processes and land-surface erodibility. However, a macro-scale understanding of GSD spatial heterogeneity and its quantitative coupling with seasonal atmospheric circulation dynamics in Central Asia remains insufficient. Based on an extensive dataset of 325 surface soil samples across Kazakhstan, Uzbekistan, Kyrgyzstan, and Tajikistan, this study systematically investigates the GSD patterns and their climatic drivers. Our results reveal a pronounced spatial gradient: coarse-textured soils dominate the northwestern and eastern desert plains, whereas fine-grained sediments are sequestered in the southeastern mountain-basin systems. We demonstrate that this heterogeneity is rigorously governed by seasonal wind regimes: the Siberian High directs coarse particle entrainment and transport during spring, while the mid-latitude westerlies and local topographic modulation (e.g., the Tian Shan and Pamir barriers) control the fine-grained sorting continuum. Furthermore, the desiccated Aral Sea bed serves as a distinctive anthropogenic dust source, perturbing regional natural sorting patterns. These findings provide critical empirical constraints for dust emission modeling and underscore the sensitivity of Central Asian land surfaces to shifting atmospheric circulation patterns.