Air Pollution Detection Using UAV

Karthik J; Amalu S Panicker; Adarsh Sudarsanan; Sachu Pradeep; Mohamed Samshad; Arun C; Praveen Raj

Air Pollution Detection Using UAV

Authors: Karthik J, Amalu S Panicker, Adarsh Sudarsanan, Sachu Pradeep, Mohamed Samshad, Arun C, Praveen Raj

Unique Paper ID: 151915
Volume: 8
Issue: 1
PageNo: 1332-1337

Keywords: AQI UAV Air Pollution Mapping QGIS

Abstract:
Due to the increase in the population there is an increase in the air pollution. The air pollution has a vast impact on the economy, environment and health of the people. The major pollutants are particulate matter, nitrogen dioxide, carbon dioxide, sulphur dioxide, carbon monoxide, methane etc. These pollutants can be either manmade or naturally occurring. The current method of measuring air pollution is by using sensors fixed over building over an interval of distance. The disadvantage of this method is that each building will be using more power for its sensor part and also this method cannot be used in rural areas with fewer buildings. This problem is removed by using environmental drones or e drones for monitoring and analysis of air pollution. Drone is a very useful technology as it helps to reach places where humans canâ€™t reach. It is also known as unmanned Aerial vehicle (UAV). The main aim of this project is to develop an environmental drone for autonomous monitoring, analysis, and countering of air pollution. Various low-cost sensors are used to measure the humidity, temperature, pressure, wind speed, precipitation at different heights of a particular area. Air Quality Index (AQI) is measured by measuring the concentration of different pollutants in an area. These data from the drone is sent to the base station via wireless communication to the base station for AQI mapping. The threshold values of the pollutants have already been standardized.

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ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 1332-1337

Air Pollution Detection Using UAV

Available:https://ijirt.org/Article?manuscript=151915

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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