Analysis Of The Particulate Matter Concentrations PM2.5 And The Weather Variables Of Precipitation And Temperature In The Dry Period (2018) And Rainy Period (2019) In The Universidad Libre- Bogotá Campus
Department of Engineering. Faculty of Environmental Engineering. Universidad Libre
email: mariaf-acostan@unilibre.edu.co
Department of Engineering. Faculty of Environmental Engineering. Universidad Libre
email: astridd.altamarc@unilibre.edu.co
Department of Engineering. Faculty of Environmental Engineering. Universidad Libre.
email: juan.aragonm@unilibre.edu.co
determination of the concentration of particulate
matter PM2.5, estimating the influence of temperature
and precipitation, developed at the Universidad
Libre, at the Bogotá campus during the years
2018-2019.Problem:[PM2,5] concentration near the
University, Bosque Popular campus has increased
in recent years, influenced by mobile sources,
in spite of the green zones.
Objective: To determine
the relationship of the particulate matter with
the Precipitation and Temperature as meteorological
variables, and the influence of the contributing
sources of PM2.5 in the studied area.
Methodology: For the determination of [PM2.5] a
WilBur model low volume sampler was used.
The meteorological data were obtained from
the Bogotá Air Quality Monitoring Network of
the Secretariat of the Environment. Software
such as ArcGis, WRPLOT and MiniTab were used
for the graphical representation of the results.
Results: The average [PM2.5] for the dry and wet
season were 9.03 and 19.22 μm/m3. For the
meteorological variables, a precipitation
of 40.4 and 373.6mm, and temperature of 14.3
and 15.32°C, respectively, were obtained.
Conclusion: There is a low relationship
between meteorological variables and
[PM2.5] in both monitoring sea-sons,
however, the concentration performance
is similar to that found in the references.
Originality: PM2.5 sampling in both seasons
within the Universidad Libre, cataloged as
a background area.
Limitations:The monitoring
time was during the months of July and August
for the year 2018 and March to May in the year 2019.
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