Entropy and neguentropy: An approach to the process of pollutant diffusion and its sustainability

Pacheco Hernandez, Patricio R.; Salini Calderon, Giovanni A.; Mera Garrido, Eduardo M.

Abstract

This paper presents a study of hourly air pollution time series of coarse and fine particulate matter, carbon monoxide, relative humidity, wind speed and temperature, from the city of Santiago de Chile. Hourly measurements were made of the evolution of the concentration of atmospheric pollutants, which were accompanied by continuous local measurements, for over three years, of temperature, relative humidity and wind speed at ground level. These series arise from measurements made at six monitoring stations during the period between 2010 and 2013 (3.25 years). Its study, based on non-linear analysis, allows us to obtain its correlation entropies from which the process of diffusion of pollutants through the Earth-atmosphere system is interpreted. As a result, full agreement is shown with the dynamics of observed concentrations. It is discussed how neguentropy and associated flow can promote dispersive dynamics, according to the meteorological variables studied, of the pollutants emitted according to their particular half-life. It is discussed how neguentropy and associated flow can promote dispersive dynamics, according to the meteorological variables studied, of the pollutants emitted according to their particular half-life. The chaotic character of pollution variables is checked as particulate matter and some meteorological variables. These last variables could explain why certain localities in the city of Santiago have less pollution by particulate matter than others.

Más información

Título según WOS: Entropy and neguentropy: An approach to the process of pollutant diffusion and its sustainability
Título de la Revista: REVISTA INTERNACIONAL DE CONTAMINACION AMBIENTAL
Volumen: 37
Editorial: CENTRO CIENCIAS ATMOSFERA UNAM
Fecha de publicación: 2021
Página de inicio: 167
Página final: 185
DOI:

10.20937/RICA.53688

Notas: ISI