Air Pollution Monitoring Based on Remote Sensing and Simultaneous Ground PM 10 and PM2.5 Measurements: The ‘WebAir-2 Project’

Abstract

WebAir-2 EUREKA project aims to expand the basic air quality modelling technology (web-based client server) developed in E!3266 WebAir project. WebAir-2 will incorporate different technologies such as satellite remote sensing data and ground PM samples for monitoring air pollution and in addition 3G mobile phone technology will be used for personalized health related informa- tion, warnings and exposure reports. Emphasis will be given to the development of statistical models for PM against AOT derived from MODIS data. Due to inade- quate spatial-temporal coverage of air pollution from existing air pollution stations, MODIS products can assist to this task both spatial and temporal. The statistical AOT model will be cross-validated during satellite overpass based on handheld sun-photometers and daily CIMEL sun-photometer (NASA/AERONET network) measurements. Moreover ground LIDAR measurements for vertical distribution of the aerosols will be carried out. Based on these data, a 3D nested grid Eurelian model CAMx will be used to generate the dynamic boundary conditions for the Cyprus model domain. D.G.