Version 1
: Received: 11 September 2024 / Approved: 11 September 2024 / Online: 11 September 2024 (15:25:36 CEST)
How to cite:
Zhang, S.; Wu, J.; Yao, J.; Quan, X.; Zhai, H.; Lu, Q.; Xia, H.; Wang, M.; Guo, J. Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei. Preprints2024, 2024090913. https://doi.org/10.20944/preprints202409.0913.v1
Zhang, S.; Wu, J.; Yao, J.; Quan, X.; Zhai, H.; Lu, Q.; Xia, H.; Wang, M.; Guo, J. Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei. Preprints 2024, 2024090913. https://doi.org/10.20944/preprints202409.0913.v1
Zhang, S.; Wu, J.; Yao, J.; Quan, X.; Zhai, H.; Lu, Q.; Xia, H.; Wang, M.; Guo, J. Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei. Preprints2024, 2024090913. https://doi.org/10.20944/preprints202409.0913.v1
APA Style
Zhang, S., Wu, J., Yao, J., Quan, X., Zhai, H., Lu, Q., Xia, H., Wang, M., & Guo, J. (2024). Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei. Preprints. https://doi.org/10.20944/preprints202409.0913.v1
Chicago/Turabian Style
Zhang, S., Mengran Wang and Jinquan Guo. 2024 "Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei" Preprints. https://doi.org/10.20944/preprints202409.0913.v1
Abstract
Global dust events have become more frequent due to climate change and increased human activity, significantly impacting air quality and human health. Previous studies have often focused on simulating cross-regional dust transport based on atmospheric parameters; however, comprehensive monitoring of dust events remains challenging. Therefore, this study utilized Fengyun-4A (FY-4A) satellite Advanced Geostationary Radiation Imager (AGRI) imagery, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar, and other auxiliary data to conduct three-dimensional spatiotemporal monitoring and cross-regional transport analysis of two typical dust events in the Beijing–Tianjin–Hebei (BTH) region of China using four dust intensity indices (Icsd, Dust Detection Index (DDI), Dust value (DV), and Dust Strength Index (DSI)) and the HYSPLIT model. We found that among the four indices, DDI was the most suitable for studying dust in the BTH region, with a detection accuracy (POCD) of > 88% at all times and reaching a maximum of 96.14%. Both the 2021 and 2023 dust events originated from large-scale deforestation in southern Mongolia and the border area of Inner Mongolia, with dust plumes distributed between 2 and 12 km being transported across regions to the BTH area. Further, when dust aerosols are primarily concentrated below 4 km and PM10 concentrations consistently exceed 600 µg/m³, large dust storms are more likely to occur in the BTH region. The findings of this study provide valuable insights into the sources, transport pathways, and environmental impacts of dust aerosols.
Keywords
dust aerosols; dust identification index; FY-4A; CALIPSO; HYSPLIT; Three-dimensional distribution
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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