Utilizing space and ground data for air quality monitoring and management
Abstract
Satellite imagery can provide estimates of gas and particle levels indicating pollution and human activity, which has implications on global health and economy. Previous initiatives in the country look at different data sources to address specific air quality issues. The PAPGAPI-PAN project will improve the interpretation of satellite data with Pandora ground instrument, where in-situ air quality and atmospheric composition is related with data from the first geostationary satellite dedicated to air quality monitoring – Geostationary Environment Monitoring Spectrometer (GEMS). At global scales, GEMS provides data of pollutants, emission sources, and transboundary pollution at a spatiotemporal level, while at local scales, a series of Pandora instruments provides air quality and atmospheric composition in polluted and background monitoring stations. Insights from this study are important in enhancing the capacity to undertake comprehensive analysis from integration of satellite and ground data and in promoting policy dialogue to improve air quality management at the regional level.