Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei
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 mainly focused on determining atmospheric dust pollution levels through atmospheric parameter simulations or AOD values obtaine...
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2024-10-01
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| author | Siqin Zhang Jianjun Wu Jiaqi Yao Xuefeng Quan Haoran Zhai Qingkai Lu Haobin Xia Mengran Wang Jinquan Guo |
| author_facet | Siqin Zhang Jianjun Wu Jiaqi Yao Xuefeng Quan Haoran Zhai Qingkai Lu Haobin Xia Mengran Wang Jinquan Guo |
| author_sort | Siqin Zhang |
| collection | DOAJ |
| description | 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 mainly focused on determining atmospheric dust pollution levels through atmospheric parameter simulations or AOD values obtained from satellite remote sensing. However, research on the quantitative description of dust intensity and its cross-regional transport characteristics still faces numerous challenges. 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 a cross-regional transport analysis of two typical dust events in the Beijing–Tianjin–Hebei (BTH) region of China using four dust intensity indices Infrared Channel Shortwave Dust (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/m<sup>3</sup>, 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. |
| format | Article |
| id | doaj-art-35731bd3e5874f4fac81afd90688187e |
| institution | OA Journals |
| issn | 2073-4433 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-35731bd3e5874f4fac81afd90688187e2025-08-20T02:11:12ZengMDPI AGAtmosphere2073-44332024-10-011510121210.3390/atmos15101212Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and HebeiSiqin Zhang0Jianjun Wu1Jiaqi Yao2Xuefeng Quan3Haoran Zhai4Qingkai Lu5Haobin Xia6Mengran Wang7Jinquan Guo8Academy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaAcademy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaAcademy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaAcademy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaAcademy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaAcademy of Ecological Civilization Development for JING-JIN-JI, Tianjin Normal University, Tianjin 300387, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, ChinaGlobal dust events have become more frequent due to climate change and increased human activity, significantly impacting air quality and human health. Previous studies have mainly focused on determining atmospheric dust pollution levels through atmospheric parameter simulations or AOD values obtained from satellite remote sensing. However, research on the quantitative description of dust intensity and its cross-regional transport characteristics still faces numerous challenges. 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 a cross-regional transport analysis of two typical dust events in the Beijing–Tianjin–Hebei (BTH) region of China using four dust intensity indices Infrared Channel Shortwave Dust (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/m<sup>3</sup>, 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.https://www.mdpi.com/2073-4433/15/10/1212dust aerosolsdust identification indexFY-4ACALIPSOHYSPLITthree-dimensional distribution |
| spellingShingle | Siqin Zhang Jianjun Wu Jiaqi Yao Xuefeng Quan Haoran Zhai Qingkai Lu Haobin Xia Mengran Wang Jinquan Guo Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei Atmosphere dust aerosols dust identification index FY-4A CALIPSO HYSPLIT three-dimensional distribution |
| title | Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei |
| title_full | Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei |
| title_fullStr | Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei |
| title_full_unstemmed | Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei |
| title_short | Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei |
| title_sort | dust monitoring and three dimensional transport characteristics of dust aerosol in beijing tianjin and hebei |
| topic | dust aerosols dust identification index FY-4A CALIPSO HYSPLIT three-dimensional distribution |
| url | https://www.mdpi.com/2073-4433/15/10/1212 |
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