Demonstrates air quality monitoring in urban areas, suggesting health benefits for residents.
Humans are adversely affected by the exposure to ambient air pollutants. Hence, health-based standards and objectives for a number of pollutants in the air are normally set by individual country across the globe. Detection and measurement of pollution contents of the atmosphere are becoming increasingly necessary. Promptness and carefulness in planning of the measurements is essential. One of the major factors that influence the representativeness of data collected is the location of monitoring stations. The planning and setting up of a conventional monitoring station with Internet of Things (IoT) connectivity involve complex operations and often demand a huge expenditure. An IoT-based air pollution monitoring system is proposed to monitor the pollution levels of various pollutants in Keffi urban area. The main components of the developed IoT-Based Air Pollution Monitoring System (IoT-Based-APMS-D) Device are the ATMEGA328P microcontroller, SIM800L GSM/GPRS Module, MiCS-6814 gases sensor, Power supply (3.7V 18650 Battery), Android, iOS, and Windows User Interface connected to database at the cloud via SIM800L GSM/GPRS Module. Air Pollution Detection and Tracking system Version 1 (APDATS-V1) was developed by the researcher to view from the database of the detected rates or levels of the air quality index or the particle per million levels in the range of 0 to above 200 ppm for Carbon Monoxide, Ammonia, and Nitrogen Dioxide in Keffi, Nasarawa state, Nigeria. Geographic Information System techniques were used to determine the concentration and distribution of air pollutants at different seasons (wet, harmattan, and dry) at five different monitoring locations. In addition to numerous health policy/programme benefits, this monitoring system will guide people with respiratory related health issues to make decision of taking alternative routes to avoid routes with high level of pollutants concentration.
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Abdullahi et al. (2023) studied this question.
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