Pengcheng Jia, Nianwen Cao, Guangqiang Fan, Yirui Zhao. Differential Absorption Lidar Monitoring of Heavy Pollution Process[J]. Laser & Optoelectronics Progress, 2021, 58(9): 0901002
- Laser & Optoelectronics Progress
- Vol. 58, Issue 9, 0901002 (2021)
Fig. 1. Structure of the differential absorption lidar
Fig. 2. Surface weather changes during the observation period. (a) Visibility and mass concentration of the particulate matter; (b) precipitation and air pressure; (c) relative humidity and temperature; (d) wind direction and speed
Fig. 3. Changes in the mass concentration of pollutants during the observation period. (a) Particulate matter; (b) O3 and NO2; (c) CO and SO2
Fig. 4. Temperature sounding profile during the observation period. (a) 16th; (b) 17th; (c) 18th; (d) 19th ; (e) 20th; (f) 21st
Fig. 5. Height field of the 850 hPa potential. (a) 15th; (b) 16th; (c) 17th; (d) 18th; (e) 19th; (f) 20th
Fig. 6. Wind field with a height of 10 m. (a) 15th; (b) 16th; (c) 17th; (d) 18th; (e) 19th; (f) 20th
Fig. 7. Time and space distribution of pollutants measured by differential absorption lidar. (a) Particle extinction coefficient; (b) O3 mass concentration
Fig. 8. Aerosol extinction coefficient at different moments
Fig. 9. O3 mass concentration at different moments
Fig. 10. Dackward trajectory of the air mass from 2018-12-15T19:00—2018-12-17T19:00
Fig. 11. NAAPS simulated aerosol. (a) 2018-12-15T08:00； (b) 2018-12-16T08:00； （c） 2018-12-16T20:00； （d） 2018-12-17T02:00
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Table 1. Correlation coefficients of PM2.5, O3 mass concentrations and boundary layer height, other meteorological elements
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