Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite
During 14–16 March 2021, a large-scale dust storm event occurred in the northern region of China, and it was considered the most intense event in the past decade. This study employs observation data for PM2.5 and PM10 from the air quality monitoring station, the HYSPLIT model, ground-based polarized...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/7/1196 |
| _version_ | 1827286549921792000 |
|---|---|
| author | Zhisheng Zhang Zhiqiang Kuang Caixia Yu Decheng Wu Qibing Shi Shuai Zhang Zhenzhu Wang Dong Liu |
| author_facet | Zhisheng Zhang Zhiqiang Kuang Caixia Yu Decheng Wu Qibing Shi Shuai Zhang Zhenzhu Wang Dong Liu |
| author_sort | Zhisheng Zhang |
| collection | DOAJ |
| description | During 14–16 March 2021, a large-scale dust storm event occurred in the northern region of China, and it was considered the most intense event in the past decade. This study employs observation data for PM2.5 and PM10 from the air quality monitoring station, the HYSPLIT model, ground-based polarized Lidar networks, AGRI payload data from Fengyun satellites and CALIPSO satellite Lidar data to jointly explore and scrutinize the three-dimensional spatial and temporal characteristics of aerosol transport. Firstly, by integrating meteorological data for PM2.5 and PM10, the air quality is assessed across six stations within the Lidar network during the dust storm. Secondly, employing a backward trajectory tracking model, the study elucidates sources of dust at the Lidar network sites. Thirdly, deploying a newly devised portable infrared 1064 nm Lidar and a pulsed 532 nm Lidar, a ground-based Lidar observation network is established for vertical probing of transboundary dust transport within the observed region. Finally, by incorporating cloud imagery from Fengyun satellites and CALIPSO satellite Lidar data, this study revealed the classification of dust and the height distribution of dust layers at pertinent sites within the Lidar observation network. The findings affirm that the eastward movement and southward compression of the intensifying Mongolian cyclone led to severe dust storm weather in western and southern Mongolia, as well as Inner Mongolia, further transporting dust into northern, northwestern, and northeastern parts of China. This dust event wielded a substantial impact on a broad expanse in northern China, manifesting in localized dust storms in Inner Mongolia, Beijing, Gansu, and surrounding areas. In essence, the dust emanated from the deserts in Mongolia and northwest China, encompassing both deserts and the Gobi region. The amalgamation of ground-based and spaceborne Lidar observations conclusively establishes that the distribution height of dust in the source region ranged from 3 to 5 km. Influenced by high-pressure systems, the protracted transport of dust over extensive distances prompted a gradual reduction in its distribution height owing to sedimentation. The comprehensive analysis of pertinent research data and information collectively affirms the precision and efficacy of the three-dimensional aerosol monitoring conducted by the ground-based Lidar network within the region. |
| first_indexed | 2024-04-24T10:35:20Z |
| format | Article |
| id | doaj.art-261a4631e88f4240a79189fb18afa6d7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-24T10:35:20Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-261a4631e88f4240a79189fb18afa6d72024-04-12T13:25:35ZengMDPI AGRemote Sensing2072-42922024-03-01167119610.3390/rs16071196Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO SatelliteZhisheng Zhang0Zhiqiang Kuang1Caixia Yu2Decheng Wu3Qibing Shi4Shuai Zhang5Zhenzhu Wang6Dong Liu7Science Island Branch, Graduate of USTC, Hefei 230026, ChinaHefei CAS GBo-Qua, Science and Technology Co, Hefei 230088, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaHefei CAS GBo-Qua, Science and Technology Co, Hefei 230088, ChinaHefei CAS GBo-Qua, Science and Technology Co, Hefei 230088, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaDuring 14–16 March 2021, a large-scale dust storm event occurred in the northern region of China, and it was considered the most intense event in the past decade. This study employs observation data for PM2.5 and PM10 from the air quality monitoring station, the HYSPLIT model, ground-based polarized Lidar networks, AGRI payload data from Fengyun satellites and CALIPSO satellite Lidar data to jointly explore and scrutinize the three-dimensional spatial and temporal characteristics of aerosol transport. Firstly, by integrating meteorological data for PM2.5 and PM10, the air quality is assessed across six stations within the Lidar network during the dust storm. Secondly, employing a backward trajectory tracking model, the study elucidates sources of dust at the Lidar network sites. Thirdly, deploying a newly devised portable infrared 1064 nm Lidar and a pulsed 532 nm Lidar, a ground-based Lidar observation network is established for vertical probing of transboundary dust transport within the observed region. Finally, by incorporating cloud imagery from Fengyun satellites and CALIPSO satellite Lidar data, this study revealed the classification of dust and the height distribution of dust layers at pertinent sites within the Lidar observation network. The findings affirm that the eastward movement and southward compression of the intensifying Mongolian cyclone led to severe dust storm weather in western and southern Mongolia, as well as Inner Mongolia, further transporting dust into northern, northwestern, and northeastern parts of China. This dust event wielded a substantial impact on a broad expanse in northern China, manifesting in localized dust storms in Inner Mongolia, Beijing, Gansu, and surrounding areas. In essence, the dust emanated from the deserts in Mongolia and northwest China, encompassing both deserts and the Gobi region. The amalgamation of ground-based and spaceborne Lidar observations conclusively establishes that the distribution height of dust in the source region ranged from 3 to 5 km. Influenced by high-pressure systems, the protracted transport of dust over extensive distances prompted a gradual reduction in its distribution height owing to sedimentation. The comprehensive analysis of pertinent research data and information collectively affirms the precision and efficacy of the three-dimensional aerosol monitoring conducted by the ground-based Lidar network within the region.https://www.mdpi.com/2072-4292/16/7/1196LidarLidar observation networktrans-boundary dust transportaerosolCALIPSO |
| spellingShingle | Zhisheng Zhang Zhiqiang Kuang Caixia Yu Decheng Wu Qibing Shi Shuai Zhang Zhenzhu Wang Dong Liu Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite Remote Sensing Lidar Lidar observation network trans-boundary dust transport aerosol CALIPSO |
| title | Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite |
| title_full | Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite |
| title_fullStr | Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite |
| title_full_unstemmed | Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite |
| title_short | Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite |
| title_sort | trans boundary dust transport of dust storms in northern china a study utilizing ground based lidar network and calipso satellite |
| topic | Lidar Lidar observation network trans-boundary dust transport aerosol CALIPSO |
| url | https://www.mdpi.com/2072-4292/16/7/1196 |
| work_keys_str_mv | AT zhishengzhang transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT zhiqiangkuang transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT caixiayu transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT dechengwu transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT qibingshi transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT shuaizhang transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT zhenzhuwang transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite AT dongliu transboundarydusttransportofduststormsinnorthernchinaastudyutilizinggroundbasedlidarnetworkandcalipsosatellite |