Geolocation based air pollution mobile monitoring system

Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research proposed the design and implementation of mobile, low cost accurate air monitoring system using Arduino microcontroller gas sensor MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity GPS sensor”NEO-6M” that track location data, display analysis result on ESRI maps. The also save results SQL server DB. data classified mining algorithms, presenting a map helps governmental organizations, nature guards, ecologists analyze in real time simplify decision making process. uses J48 pruning tree classifier generated cross validation fold (10) with highest accuracy 100%, while IBK ≈99.67, Naïve bays ≈90.89, SVM ≈81.4. It’s found common quality for Baghdad (study area) between (“Good”, “Satisfactory”, “Moderately”) 1835 records samples during (January February 2021) period.