Air Pollution Monitoring System Using Micro Controller Atmega 32A and MQ135 Gas Sensor at Chandragiri Municipality of Kathmandu City

Rajesh Shrestha (Tri-Chandra Multiple Campus, Kathmandu, Nepal)
Manik Maharjan (Tri-Chandra Multiple Campus, Kathmandu, Nepal)
Mahesh Sharma (Tri-Chandra Multiple Campus, Kathmandu, Nepal)

Article ID: 4884



Air is one of the essential elements of human’s surroundings. The earth’s atmosphere is full of air which contains gases such as Nitrogen, Oxygen, Carbon Monoxide and traces of some rare elements. But quality of the air has been degrading for some decades due to various activities conducted by the human beings that directly or indirectly affect the atmosphere leading to the air pollution. There are different techniques to measure air quality.However, with the evolution of time the expensive and less efficient analog devices have been replaced by more efficient and less expensive electronics device. In this research, MQ135 sensor is used to measure air quality of a particular location. I2C display is used to monitor the data. Indeed, with the increasing in number of vehicles, unplanned urbanization and rapid population growth, air pollution has considerably increased in the last decades in various areas of Kathmandu. Thus, this project ‘Air Pollution Monitoring System’ was focused on collection of the data specific location of Chandragiri municipality of Kathmandu city. In conclusion,analysis of the data is done with the help of origin software which shows that the Arduino device in this device works perfectly for measuring the air pollution. Air quality of the selected area is found to be less than 500 PPM which concludes that the air quality of this area is normal.


Arduino Uno; MQ135 sensor; Air pollution; I2C display; Atmosphere

Full Text:



[1] Shah, H.N., Khan, Z., Merchant, A.A., et al., 2018. IOT Based Air Pollution Monitoring System. 9(2), 6.

[2] Air pollution, 2019.

[3] Kim, S., Paulos, E., 2009. inAir: measuring and visualizing indoor air quality. Proceedings of the 11th international conference on Ubiquitous computing.

[4] Bashir Shaban, K., Kadri, A., Rezk, E., 2016. Urban Air Pollution Monitoring System With Forecasting Models. IEEE Sensors Journal. 16(8), 2598-2606. DOI:

[5] Al-Dahoud, A., Fezari, M., Jannoud, I., et al., 2016. Monitoring Metropolitan City Air-quality Using Wireless Sensor Nodes based on ARDUINO and XBEE.

[6] Stojmenoviel, Handbook of sensor network, 1st ed.Ottawa: John Wiley and Sons, 2005.

[7] Kwon, J.W., Park, Y.M., Koo, S.J., et al., 2008. Design Of Air Pollution Monitoring System Using ZigBee Networks for Ubiquitous-City. Proceedings of the 2007 International Conference on Convergence Information Technology.

[8] Kathmandu Population, 2022.

[9] Guanochanga, B., Cachipuendo, R., Fuertes, W., et al., 2018. Real-time air pollution monitoring sys-44 tems using wireless sensor networks connected in a cloud-computing, wrapped up web services. Proceedings of the future technologies conference (pp. 171- 184). Springer, Cham.

[10] Meivel, S., Mahesh, M., Mohnish, S., et al., 2021. Air Pollution Monitoring System Using IOT And Artificial intelligence. International Journal of Modern Agriculture. 10(2), 2.

[11] Al Ahasan, Md.A., Roy, S., Saim, A.H.M., et al., 2018. Arduino-Based Real Time Air Quality and Pollution Monitoring System. International Journal of Innovative Research in Computer Science & Technology. 6(4), 81-86. DOI:

[12] Pal, P., Gupta, R., Tiwari, S., et al., 2017. IoT based air pollution monitoring system using Arduino. International Journal of Scientific Research in Science, Engineering and Technology. 4(10), 1137-1140.

[13] Jamil, M.S., Jamil, M.A., Mazhar, A., et al., 2015. Smart Environment Monitoring System by Employing Wireless Sensor Networks on Vehicles for Pollution Free Smart Cities. Procedia Engineering. 107, 480-484. DOI:

[14] Zheng, K., Zhao, S., Yang, Z., et al., 2016. Design and Implementation of LPWA-Based Air Quality Monitoring System. IEEE Access. 4, 3238–3245. DOI:


  • There are currently no refbacks.
Copyright © 2022 Rajesh Shrestha, Manik Maharjan, Mahesh Sharma

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.