收藏切换
Spatiotemporal Distribution Characteristics of Dust Weather in Beijing Based on Satellite-ground Joint Observations
收藏切换
PDF
Chang GUO, Lidong WANG, Jing LI, Xuebing DAI
Journal of Telemetry, Tracking and Command | 2024, 45(6) : 37 - 47
Less
收藏切换
Journal of Telemetry, Tracking and Command | 2024, 45(6): 37-47
Remote Sensing Technology of Meteorological Satellite
Spatiotemporal Distribution Characteristics of Dust Weather in Beijing Based on Satellite-ground Joint Observations
Full
Chang GUO, Lidong WANG, Jing LI, Xuebing DAI
Affiliations
  • Beijing Research Institute of Telemetry, Beijing 100076, China
doi: 10.12347/j.ycyk.20241008001
Outline
收藏切换

From March 27-29, 2021, a large-scale and prolonged dust pollution event occurred in the north of China. This study analyzed the optical properties, vertical distribution, and transport patterns of dust aerosols using data from MODIS and ground-based lidar (AMPLE-001), combined with the HYSPLIT model. Additionally, hourly data from the China Environmental Monitoring Station and aerosol optical depth (AOD) data from MCD19A2 and AERONET were used to verify the accuracy of the ground-based lidar measurements. The key findings are as follows: ① The dust was primarily transported at an altitude of 4 km over the northern Gobi Desert, and mixed with local pollutants and then settled. ② During the dust event, particulate matter concentrations surged dra-matically. PM10 concentrations peaked at over 2 492.65 μg/m³, while PM2.5 reached a maximum of 236.48 μg/m³. The highest record-ed AOD was 4.1, with dust pollution being most severe in the southern and eastern parts of Beijing, Tianjin, and Hebei. ③ In terms of accuracy validation, comparisons between AOD values from sun photometers and lidar showed a strong correlation, with a corre-lation coefficient of 95.63%. Similarly, the PM10 and PM2.5 data from ground-based lidar were highly consistent with official monitor-ing data, with correlation coefficients of 85.93% and 98.47%, respectively. These results validate the detection capability and accura-cy of the AMPLE-001 ground-based lidar system.

Lidar  /  Raman polarization  /  Aeronet  /  Dust  /  AOD  /  MCD19A2
Chang GUO, Lidong WANG, Jing LI, Xuebing DAI. Spatiotemporal Distribution Characteristics of Dust Weather in Beijing Based on Satellite-ground Joint Observations[J]. Journal of Telemetry, Tracking and Command, 2024 , 45 (6) : 37 -47 . DOI: 10.12347/j.ycyk.20241008001
Year 2024 volume 45 Issue 6
PDF
192
86
Cite this Article
BibTeX
Article Info
doi: 10.12347/j.ycyk.20241008001
  • Receive Date:2024-10-08
  • Online Date:2026-03-19
Article Data
Affiliations
History
  • Received:2024-10-08
  • Revised:2024-10-24
Funding
Affiliations
    Beijing Research Institute of Telemetry, Beijing 100076, China
References
Share
https://castjournals.cast.org.cn/joweb/ycyk/EN/10.12347/j.ycyk.20241008001
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT