• Technical Name
  • Satellite Remote Sensing of Aerosol Profile in 3D PM2.5 Construction for Regional Air Pollution Monitoring
  • Operator
  • National Central University
  • Booth
  • Electronicsoptoelectronics
  • Contact
  • 林唐煌
  • Email
  • thlin@csrsr.ncu.edu.tw
Technical Description Concerning the uncertainty of assuming well-mixed aerosols within the planetary boundary layer, a sensible aerosol vertical distribution described by a log-normal fitting function is proposed to provide more realistic single-peak extinction profile with a decadal MPL in situ dataset. The performance of fitted single-peak aerosol profiles can reach up 0.8973 of correlation coefficient when considering the seasonal variations in PBLH and the surface layer height of well-mixed aerosols. Eventually, not only the aerosol extinction profile but also the 3-dimensional distribution are promising to be created from satellite AOD retrieval with PBLH information for providing accurate PM2.5 monitoring over a regional scale.
Scientific Breakthrough In terms of the planetary boundary layer height (PBLH)the total column aerosol optical depth (AOD), the single-peak aerosol profiles can be well described by the proposed log-normal distribution model with the following breakthrough,1. New satellite retrievals in aerosol extinction profile2. Enable satellite observation to prov 3D aerosol distribution (from columnar 2D) 3. Improve satellite remote sensing of surface PM2.5 with high temporal observation every 20 minutes4.Overcome the international limitation in constructing 3D PM2.5 initial for modeling air pollution forecast.
Industrial Applicability The proposed model for single-peak aerosol profile fitting will facilitate the advantages for industrial application as the followings. 1. Associated with multiple satellite observations, the unique 3D aerosol distribution highly increases industrial competitive capability internationally2. Very practical with high performance and low cost for operational3. The near real-time air pollution monitoring is enable to a large scale which well qualified for the warming of public health issues4. User friendly5. The technology can be applied in environmental protection agencies, weather industrial (e.g., Weather Risk Explore Inc.) or satellite image processing companies, including National Space Organization, SpaceX, Chung Hsing Surveying, LIDAR Technology, Spot Image in France, etc.