Real Time Air Pollution Detection Based SnO₂ Semiconducting Gas Sensors and Geomatics

Abstract:

Rapid economic growth, urbanization and industrialization has caused the most critical air pollution in large Asian cities such as Beijing, Hong Kong, Jakarta, New deli and Bangkok. The conventional air pollution monitoring methods are costly, bulky, rarely used in real time, in conjunction with sophisticated maintenance need. Therefore this investigation aims at developing an inexpensive, portable and real time air pollution monitoring system in order to be employed in central Bangkok areas along with simply maintenance and operation. SnO2 semiconducting gas sensors based nanotechnology are used to measure NO2 gas concentrations and correlated with in-situ measurements obtained from Pollution Control Department (PCD) and SCIMACHY satellite data. Aerosol Optical Thickness (AOT) data are detected from MODIS sensor so as to identify the correlation with Particulate matter lesser than 10 micron (PM10) obtained from ground measurements. The correlation and distribution of the air pollutants are transferred to Internet GIS in order to retrieve and disseminate the air quality of Bangkok areas. Public awareness and participation can be enhanced by using this air quality monitoring system.

Keywords: SnO2, Semiconducting gas sensor, real time air pollution detection, Geo-informatics