ARTÍCULO DE CONFERENCIA
Discovering patterns of time association among air pollution and meteorological variables
Fecha
2021Registro en:
978-303073102-1
2194-5357
10.1007/978-3-030-73103-8_13
Autor
Orellana Cordero, Marcos Patricio
Lima Sigua, Juan Fernando
Cedillo Orellana, Irene Priscila
Institución
Resumen
Lately, there is a concern about to air pollution, which leads to environmental
specialists discovering relevant causes of this phenomenon. Several
factors determine the level of pollution, but it is necessary to find behavior patterns
between air pollution and meteorological variables. The relations between
these variables in distinct hours a day could give clues to discover essential patterns
in their relationships. This study revealed relations among five air pollution
variables and nine meteorological variables collected for one month in the city
Cuenca-Ecuador. The method used considerer an evaluation of the essential time
associations using time rolling windows and correlations. The results were revelated
using visualization frames for dimensions such as time, correlation rate,
and component relation, highlighting 57 strong correlations from 91 pairs of variables,
the best positive correlation is between Ozone and Radiation UVA. The best
negative correlation is Ozone and Dew Point, both throughout the day.