Abstract
Weather affects air quality globally since different aspects of the weather like humidity, temperature, wind speed, and direction essentially affect the movement, creation, and concentration of various major air pollutants like surface ozone, PM 2.5, methane, carbon dioxide, etc. Air pollution is caused when an excessive amount of harmful substances like gases, particles, etc. are poured into our atmosphere which can severely affect the health of any living organisms. In this chapter, the most relevant weather affected urban air quality prediction papers are studied along with recent IoT systems developed for air pollution, and the authors observed that modern artificial intelligence algorithms are better than traditional statistical models. However, artificial intelligence-based algorithms cannot be directly compared effectively due to the hybrid nature of data sources used. Also, a need is identified to develop a powerful end-to-end model based on artificial intelligence algorithms and IoT systems.
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