In this work we present selected experimental results from lidar studies of the troposphere performed above Sofia, Bulgaria, during the summer of 2011. The ground-based measurements were carried out by a lidar equipped with a Nd:YAG laser operating at the wavelengths of 532 nm and 1064 nm. The lidar data are presented and analyzed in terms of calculated vertical atmospheric backscatter coefficient profiles and 2D color maps of the range-corrected lidar signals. They reveal that relatively thick (till 3.5-5 km) aerosol formations were observed over the urban areas. We used HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) backward trajectories and DREAM (Dust REgional Atmospheric Model) forecasts to analyze lidar profiles outlines and to characterize the phenomena observed. Analyzing the weather conditions we were able to explain the stable persistence of aerosols above the atmospheric boundary layer. As neither other aerosol sources (like fires, volcano eruption), nor dust transport from Sahara desert over the Balkans were forecast for the days of the measurements, our conclusion was that the relatively thick layers observed had been caused by anthropogenic aerosols produced from human activities and city’s traffic.

1.
U.
Pöschl
,
Atmos. Chem.
44
,
7522
7540
(
2005
).
2.
B.
Dubey
 et al., “Airborne Particulate Matter: Source Scenario and Their Impact on Human Health and Environment,” in
Climate Change and Environmental Concerns: Breakthroughs in Research and Practice
, edited by Mehdi Khosrow-Pour et al., (
IGI Global
,
2018
),
1
22
.
3.
P.
Sajeev
 et al.,
Environ. Res. Lett.
12
,
044018
(
2017
).
4.
Manfred
Neuberger
, “Human health effects of aerosols,” in
Advances of Atmospheric Aerosol Research in Austria, Edition: Interdisciplinary Perspectives No. 2
(
Austrian Academy of Science
,
2012
)
5.
Garcia-Carreras
 et al.,
J. of Atmos. Scienc.
72
,
693
713
(
2015
).
6.
M.
Del Guasta
,
Atmos. Environ.
36
,
2853
2865
(
2002
).
7.
A.
Deleva
 et al.,
IJNO 2011, Art. ID 769264
(
2011
).
9.
Glenn
Rolph
 et al.,
Environmental Modelling&Software
95
,
210
228
(
2017
).
10.
A.
Deleva
 et al.,
SPIE
7027
,
70270Y
8
(
2008
).
11.
G.
Pappalardo
 et al.,
Atmos. Meas. Tech.
7
,
2389
2409
(
2014
).
12.
M.
Sicard
 et al.,
Atmos. Meas. Tech.
8
,
4587
4613
(
2015
).
This content is only available via PDF.
You do not currently have access to this content.