Evaluación de aerosoles troposféricos del AMCM por medio de imágenes de satélite GOES

Abstract

Urban aerosol assessment by remote sensing arouses increasing interest due to the mounting evidence of the aerosol effects on radiative transfer, climate, air quality and human health. Urban air quality has traditionally been monitored with networks of ground monitoring stations that use PM and criteria gases concentration to evaluate emissions and changes in air quality at discrete points. Remote sensing provides a modern way to monitor aerosols and gases at local and regional scale just because it is currently in significant development thanks to the achievement of instruments allowing the observation of cities at high spatial – temporal resolution. This study explores the ability of the Geostationary Operational Environmental Satellite (GOES) to detect urban aerosol for locations scattered in Mexico City Metropolitan Area (MCMA). The aerosol optical depth (AOD) retrieved from GOES 12 and 13 channel 1 (the visible, 0.52-0.71 μm) is used to compare with ground-based observations particulate matter (PM10 and PM2.5) measured as part of the Atmospheric Monitoring Network from Mexico City (SIMAT, GDF) and meteorology parameters are considered like contributors to this aerosol optical property. In addition, information from channel 4 (infrared, 10.2-11.2 μm) are used to remove remaining clouds signal from the comparisons using spectral difference and spatial uniformity tests. The multitemporal satellite cloud-free images and algorithm based on the analysis of solar reflectance show seasonality and aerosols local variations in AOD. The multiple linear regressions have a predicting power judged by adjusted r2 in the range 0.4 – 0.6. The AOD model explains the temporal variability, but not captures all the aerosol spatial variability in the three discrete regions of MCMA. AOD GOES visible is able to predict the temporal variability in daily PM2.5 and PM10 concentrations at regional scale.