Proximity based Intelligent Air Pollution Alerts for Garbage Disposal Sites

Abstract

Air pollution is one of the key trending challenges faced by the public at present. The garbage disposal sites are the major contributors which emit harmful gases (CO, CO2, CH4) where toxicity is at a higher level. This research attempts to fill the lacuna by providing an intelligent proximity-based air pollution detection system that alerts and makes the public aware of the danger and risk of the garbage dumps that are located near them via a mobile application. The device is developed to detect harmful gas with MG811, MQ7, MQ4 sensors with 0.80 accuracy. The device also contains a DHT22 temperature humidity sensor with 0.80 accuracy and SD011 particulate matter sensor which has a 0.95 accuracy. The application can notify the responsible authorities regarding the possible risks of the garbage dump and the health effects that can cause. The air toxicity is calculated with an accuracy of 0.75 and visualized, using the landfill classification and pollution level prediction algorithms with an accuracy of 0.96 in a geo proximity map with 0.92 percent accuracy.