Mathematics – Logic
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007spie.6733e...3c&link_type=abstract
International Conference on Lasers, Applications, and Technologies 2007: Environmental Monitoring and Ecological Applications; O
Mathematics
Logic
Scientific paper
Data of aerosol measurements from October 2004 to December 2006 and a collection of back trajectories arriving at a monitoring site at the measurement instants were used to reveal main aerosol source areas with the help of the residence time analysis. Overall aerosol content in the vertical atmosphere column was measured in Minsk (Belarus) and Belsk (Poland) with the help of multiwavelength aerosol lidar and sun-scanning spectral radiometer. 3D five day back trajectories were calculated using wind field data provided by Republican GidroMeteoCenter of Republic Belarus. These data were supplemented with the vertical velocity data and the wind field in the planetary boundary layer. It was found that the most powerful aerosol source areas are beyond of Belarus and Poland territories. They are on the south-east, south and south-west directions to monitoring stations. Revealed sources are close to the expert EMEP aerosol emission data. On the average the south territories affect the most atmosphere conditions at the monitoring sites. About 60% of aerosols in Minsk and about 50% of aerosols in Belsk have a transboundary origin.
Chaikovsky Anatoli
Kabashnikov V.
Kuzmin Vadim
Pietruczuk Aleksander
Sobolewski Piotr
No associations
LandOfFree
Aerosol source areas identification based on lidar sounding data and back trajectories statistics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Aerosol source areas identification based on lidar sounding data and back trajectories statistics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Aerosol source areas identification based on lidar sounding data and back trajectories statistics will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1799905