Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations
The March 2021 dust storm in China degraded air quality across a wide area of Asia. Atmospheric circulation and meteorological factors play an important role in the occurrence of dust storms. To understand whether decreasing or increasing these factors can mitigate dust storms, this study utilizes r...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/23/4578 |
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| author | Nana Luo Chaonan Hu Xingguang Piao Ming Chen Xing Yan |
| author_facet | Nana Luo Chaonan Hu Xingguang Piao Ming Chen Xing Yan |
| author_sort | Nana Luo |
| collection | DOAJ |
| description | The March 2021 dust storm in China degraded air quality across a wide area of Asia. Atmospheric circulation and meteorological factors play an important role in the occurrence of dust storms. To understand whether decreasing or increasing these factors can mitigate dust storms, this study utilizes remote sensing imagery data from the Himawari-8/-9 satellites to understand spatial and temporal variations in China’s 2016–2023 dust storms. Our findings are as follows: (1) in 2016–2023, dust storms covered northern China, with Xinjiang, Inner Mongolia, Gansu, and Ningxia being high-frequency areas; (2) the origins of the dust storms are northwest of Mongolia and Xinjiang, with upper air masses originating from Siberia and concentrating in central-west Inner Mongolia and northern Gansu; (3) dew point temperature, wind speed, cloud cover, and atmospheric circulation are important determinants of the occurrences of dust storms. Analyzing trends and influential factors of dust storms is important as this provides a scientific basis for decision-making in dust storm management. |
| format | Article |
| id | doaj-art-dc178435faaa4189bb4a9b2e35a49b7c |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-dc178435faaa4189bb4a9b2e35a49b7c2024-12-13T16:31:19ZengMDPI AGRemote Sensing2072-42922024-12-011623457810.3390/rs16234578Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing ObservationsNana Luo0Chaonan Hu1Xingguang Piao2Ming Chen3Xing Yan4School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaThe March 2021 dust storm in China degraded air quality across a wide area of Asia. Atmospheric circulation and meteorological factors play an important role in the occurrence of dust storms. To understand whether decreasing or increasing these factors can mitigate dust storms, this study utilizes remote sensing imagery data from the Himawari-8/-9 satellites to understand spatial and temporal variations in China’s 2016–2023 dust storms. Our findings are as follows: (1) in 2016–2023, dust storms covered northern China, with Xinjiang, Inner Mongolia, Gansu, and Ningxia being high-frequency areas; (2) the origins of the dust storms are northwest of Mongolia and Xinjiang, with upper air masses originating from Siberia and concentrating in central-west Inner Mongolia and northern Gansu; (3) dew point temperature, wind speed, cloud cover, and atmospheric circulation are important determinants of the occurrences of dust storms. Analyzing trends and influential factors of dust storms is important as this provides a scientific basis for decision-making in dust storm management.https://www.mdpi.com/2072-4292/16/23/4578long-term dust storms analysisspatiotemporal dynamicsatmospheric circulationHimawari-8 |
| spellingShingle | Nana Luo Chaonan Hu Xingguang Piao Ming Chen Xing Yan Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations Remote Sensing long-term dust storms analysis spatiotemporal dynamics atmospheric circulation Himawari-8 |
| title | Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations |
| title_full | Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations |
| title_fullStr | Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations |
| title_full_unstemmed | Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations |
| title_short | Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations |
| title_sort | analyses of the 2016 2023 dust storms in china using himawari 8 remote sensing observations |
| topic | long-term dust storms analysis spatiotemporal dynamics atmospheric circulation Himawari-8 |
| url | https://www.mdpi.com/2072-4292/16/23/4578 |
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