Spatial and temporal evaluation of PM10 and PM2.5 in Colombia using satellite information (CAMS, MODIS-AOD) and surface air quality measurements

Estimation of particulate matter levels PM10 and PM2.5 is an important part of the quality assessment of the air. In areas where there is no air quality monitoring surface, the use of satellite data, predictions and reanalysis are a viable and low-cost alternative applicable in any Place of the worl...

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Published in2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP) pp. 1 - 5
Main Authors Luna, Marco Guevara, Gonzalez, Jorge Vargas, Munoz, Sebastian Torres, Ceron, Luis Carlos Belalcazar
Format Conference Proceeding
LanguageEnglish
Spanish
Published IEEE 14.08.2019
Subjects
Air quality
Air Quiality
Cams
MODIS
Monitoring
NASA
Particulate Matter
Satellites
Spatial resolution
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Summary:Estimation of particulate matter levels PM10 and PM2.5 is an important part of the quality assessment of the air. In areas where there is no air quality monitoring surface, the use of satellite data, predictions and reanalysis are a viable and low-cost alternative applicable in any Place of the world. The data package "Copernicus Atmosphere Monitoring Service "(CAMS) covers the entire globe with a spatial resolution of 0.1 ° (12.5 km), a temporal resolution of up to 1 hour and reports atmospheric composition information and the processes that take place in it, in real time and 4-day future predictions for various pollutants and meteorological variables. These features make CAMS a data package with the possibility of being applied to analyze the air quality in developing countries. On the other hand, Aerosol Optical Depth (AOD) of 550 nm taken from the satellites "Moderate Resolution Imaging Spectroradiometer" (MODIS) of NASA (National Aero Space Administration), has a spatial resolution of 1 ° (111 km), temporal resolution of up to 1 hour, subject to availability of data by trajectories poles from the Terra-Aqua satellites, and cloud cover at the study. MODIS AOD is a variable that has been used in previous studies to predict PM10 levels in Colombia. The objective of this study is to evaluate air quality in Colombia for PM2.5 and PM10 using CAMS data during the period of time from 2003 to 2015. correlation coefficients (R) in order to evaluate performance of the two data packages (MODIS and CAMS). Analysis indicates that there is a statistically significant correlation between MODIS, CAMS and surface measurements, as well as a CAMS ability to represent quality phenomena of the air in Colombia. These data packets can be used to analyze air quality in Colombia and other countries in the process of developing.
DOI:10.1109/CASAP48673.2019.9364071