Long-Term Correlations and Cross-Correlations in Meteorological Variables and Air Pollution in a Coastal Urban Region

Anderson Palmeira, Eder Johnson de Area Pereira, Paulo Ferreira, Luisa Maria Diele-Viegas and Davidson Martins Moreira
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Anderson Palmeira: Manufacturing and Technology Integrated Campus, SENAI CIMATEC, Salvador 41650-010, Bahia, Brazil
Luisa Maria Diele-Viegas: Instituto de Biologia, Universidade Federal da Bahia, Salvador 40170-115, Bahia, Brazil
Davidson Martins Moreira: Manufacturing and Technology Integrated Campus, SENAI CIMATEC, Salvador 41650-010, Bahia, Brazil

Sustainability, 2022, vol. 14, issue 21, 1-12

Abstract: In this work, we evaluated the evolution of some atmospheric pollutants (O 3 , NOx and PM10) over time and their relationship with four different climate variables (solar irradiation, air temperature, relative humidity and wind speed). To this end, we assessed the long-range dependence of those concentrations with a Detrended Fluctuation Analysis (DFA) and analyzed the cross-correlation of such dependence with the climate variables through a Detrended Cross-Correlation Coefficient Analysis ( ρ D C C A ). The results show that air pollution tends to increase over time, impairing air quality and likely affecting human health. The results indicate a cross-correlation between air pollution and the climatic variables, which persisted for a certain period, with a greater correlation between O 3 concentration and wind, mainly temperature, and a negative correlation with humidity for all monitoring stations. Moreover, unlike O 3 and PM10, NOx concentrations always had a persistent behavior in the region of study for the entire analyzed period.

Keywords: air pollution; detrended cross-correlation analysis; emissions; long memory (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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