Air pollution has been a rising concern due to rapid urbanization, increasing population, industrialization. The World Health Organization (WHO) report states that 90% of the people around the world breathe polluted air. To curb air pollution proper planning and mitigation strategies are required. Ambient air quality monitoring is the first most important step in mitigation. It helps in knowing and understanding the existing condition of the ambient air. Based on the results of the ambient air monitoring further mitigative and preventive solutions are proposed. Ambient air monitoring can be carried out using manual stations or automatic stations. Traditional manual stations go through a tedious process of manual sampling, chemical analysis, etc. It also generates erroneous data and fails to give continuous results. The detailed advantages and drawbacks of this ambient air quality monitoring devices are discussed in this paper. Robust ambient air monitoring is required to plan and execute the mitigation strategies. The first generation ambient air quality monitoring station fails in providing a representative air quality for a given region. Ambient air quality monitoring systems have evolved with time to overcome the drawbacks of its predecessor. The second and third generation stations are viz. Continuous Ambient Air Monitoring Stations (CAAQMS) and Low-cost sensor-based stations. The new generation monitoring systems ensure better spatiotemporal resolution and provide real-time data. Each monitoring system has its own advantages and disadvantages. Due to cheaper capital cost and high functionality, users are more inclined towards low-cost sensors. This paper explains the evolution of ambient air quality monitoring stations with time and technology. It covers the working principle, advantages, disadvantages, cost and comparison of the new generation monitoring stations. It further covers the future of the ambient air quality monitoring devices based on the work and research carried out by different government and research institutions around the world.
10. Oizom has a wide range of sensor-based air quality monitoring systems for all kinds of applications which
provides real-time air quality monitoring data along with meteorological parameters. Deep machine
learning algorithms of Oizom ensure high data quality which gives more than 90% accurate data when
calibrated against the standard reference system.
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Evolution of ambient air quality monitoring systems