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Article

Temporal Variations in Particulate Matter Emissions from Soil Wind Erosion in Bayingolin Mongol Autonomous Prefecture, Xinjiang, China (2001–2022)

1
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China
2
Tianjin He Pu Science and Technology Ltd., Tianjin 300300, China
3
China Metallurgical Industry Planning and Research Institute, Beijing 100013, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2025, 16(8), 911; https://doi.org/10.3390/atmos16080911
Submission received: 13 June 2025 / Revised: 15 July 2025 / Accepted: 24 July 2025 / Published: 28 July 2025

Abstract

Soil fugitive dust (SFD) emissions pose a significant threat to both human health and the environment, highlighting the need for accurate and reliable estimation and assessment in the desert regions of northwest China. This study used climate, soil, and vegetation data from Bayingolin Prefecture (2001–2022) and applied the WEQ model to analyze temporal and spatial variations in total suspended particulate (TSP), PM10, and PM2.5 emissions and their driving factors. The region exhibited high emission factors for TSP, PM10, and PM2.5, averaging 55.46 t km−2 a−1, 27.73 t km−2 a−1, and 4.14 t km−2 a−1, respectively, with pronounced spatial heterogeneity and the highest values observed in Yuli, Qiemo, and Ruoqiang. The annual average emissions of TSP, PM10, and PM2.5 were 3.23 × 107 t, 1.61 × 107 t, and 2.41 × 106 t, respectively. Bare land was the dominant source, contributing 72.55% of TSP emissions. Both total emissions and emission factors showed an overall upward trend, reaching their lowest point around 2012, followed by significant increases in most counties during 2012–2022. Annual precipitation, wind speed, and temperature were identified as the primary climatic drivers of soil dust emissions across all counties, and their influences exhibited pronounced spatial heterogeneity in Bazhou. In Ruoqiang, Bohu, Korla, and Qiemo, dust emissions are mainly limited by precipitation, although dry conditions and sparse vegetation can amplify the role of wind. In Heshuo, Hejing, and Yanqi, stable vegetation helps to lessen wind’s impact. In Yuli, wind speed and temperature are the main drivers, whereas in Luntai, precipitation and temperature are both important constraints. These findings highlight the need to consider emission intensity, land use, or surface condition changes, and the potential benefits of increasing vegetation cover in severely desertified areas when formulating regional dust mitigation strategies.
Keywords: emission inventory; particulate matter; soil wind erosion; soil fugitive dust (SFD); Taklamakan Desert emission inventory; particulate matter; soil wind erosion; soil fugitive dust (SFD); Taklamakan Desert

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MDPI and ACS Style

Zhu, S.; Li, F.; Yang, Y.; Ma, T.; Chen, J. Temporal Variations in Particulate Matter Emissions from Soil Wind Erosion in Bayingolin Mongol Autonomous Prefecture, Xinjiang, China (2001–2022). Atmosphere 2025, 16, 911. https://doi.org/10.3390/atmos16080911

AMA Style

Zhu S, Li F, Yang Y, Ma T, Chen J. Temporal Variations in Particulate Matter Emissions from Soil Wind Erosion in Bayingolin Mongol Autonomous Prefecture, Xinjiang, China (2001–2022). Atmosphere. 2025; 16(8):911. https://doi.org/10.3390/atmos16080911

Chicago/Turabian Style

Zhu, Shuang, Fang Li, Yue Yang, Tong Ma, and Jianhua Chen. 2025. "Temporal Variations in Particulate Matter Emissions from Soil Wind Erosion in Bayingolin Mongol Autonomous Prefecture, Xinjiang, China (2001–2022)" Atmosphere 16, no. 8: 911. https://doi.org/10.3390/atmos16080911

APA Style

Zhu, S., Li, F., Yang, Y., Ma, T., & Chen, J. (2025). Temporal Variations in Particulate Matter Emissions from Soil Wind Erosion in Bayingolin Mongol Autonomous Prefecture, Xinjiang, China (2001–2022). Atmosphere, 16(8), 911. https://doi.org/10.3390/atmos16080911

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