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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68341

AIR POLLUTION MONITORING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68341

Volume:

10 |

10 |

Oct 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68341

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Vaishnawi Bhor

Vaishnawi Bhor

Eletronics & Telecommunacation

Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

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Sharavani Shivale

Sharavani Shivale

Eletronics & Telecommunacation

Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

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Vaishnavi Telange

Vaishnavi Telange

Eletronics & Telecommunacation

Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

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Gauri Kambale

Gauri Kambale

Eletronics & Telecommunacation

Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

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Mentors

Waghmode.M.N

Waghmode.M.N

Eletronics & Telecommunacation

Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

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Abstract

Air pollution represents one of the most urgent threats to global health, environmental stability, and urban liveability. Traditional regulatory air quality monitoring networks (AQMNs) rely on stationary reference instruments that deliver high accuracy but suffer from extreme capital costs, large physical footprints, and sparse spatial density. This paper presents a systematic review of modern, decentralized Air Pollution Monitoring Systems (APMS). We analyze the end-to-end architecture: from solid-state and optical hardware sensors, low-power microcontrollers, and wireless communications. (LoRaWAN, NB-IoT, 5G), to cloud-native microservices, spatial interpolation, and deep learning AQI forecasting. Furthermore, three structural system diagrams are integrated to illustrate hardware sensor node assembly, cloud pipeline orchestration, and mobile application user workflows.

KEYWORDS

Air Quality Monitoring System Internet of Things (IoT) Low-Cost Sensors Machine Learning Data Calibration Urban Analytics.

Cite This Article

Vaishnawi Bhor, Sharavani Shivale, Vaishnavi Telange, Gauri Kambale, Waghmode.M.N, "AIR POLLUTION MONITORING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-5, Oct 2026. https://doi.org/10.55041/IJSREM68341

Full Article/Conclusion

The Air Pollution Monitoring System is designed to monitor air quality using sensors.  It measures selected air pollution parameters such as particulate matter and gas-related readings. The microcontroller collects and processes data from       the sensors.                                                                            

References

[1]  World Health Organization (WHO), Air Pollution. Available at: https://www.who.int/health-topics/air-pollution [2]  Central Pollution Control Board (CPCB), Government of India, National Air Quality Index. Available at: https://cpcb.nic.in/ [3]  Espressif Systems, ESP32 Series Datasheets and Technical Documentation. Available at: https://www.espressif.com/ [4]  Arduino, Arduino Documentation and Programming Reference. Available at: https://docs.arduino.cc/ [5]  Plantower, PMS5003 Particulate Matter Sensor Documentation. Refer to the manufacturer's documentation for sensor specifications and operating principles. [6]  Winsen Electronics, MQ-135 Gas Sensor Technical Documentation. Refer to the manufacturer's datasheet for sensor characteristics and operating requirements. [7]  Aosong Electronics, DHT11 Temperature and Humidity Sensor Documentation. Refer to the manufacturer's technical documentation.

Editorial & Review Transparency

Publication Date

10/26/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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6

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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