GIS-Based Air Pollution Monitoring using Static Stations and Mobile Sensor in Tehran/Iran

Abstract

Air pollution is a major problem in mega cities and it's harmful for environment and human health. Usually in nowadays, air pollution is monitored by static stations networks and because of high cost of developing and maintenance the amount of these stations is limited. Air pollution is strongly dependent to location and it's vary from one to another, therefore less static stations cause poor spatial resolution in published pollution maps. This research paper is for generating a pollution map with higher spatial resolution according to mobile measurements through Mobile Data Acquisition Unit (MDAU) and Tehran Environmental Protection Agency's measurements. Mobile unit box used for this study is equipped with: handheld GPS, MQ 9 gas sensor (CO detector), Seeeduino Stalker microcontroller and Xbee Bluetooth module, and it was placed on top of a vehicle and the data's were collected in Hemat highway, Tehran/Iran during 15:00 to 16:00 hours, afterwards Mobile and static stations measurements were imported and aggregated in GIS environment to generate an air pollution map through Geo- statistical Analysis. Finally, CO pollution map was validated and compared with pollution map produced via Tehran Air Quality Control Company's data.