Carbon monoxide forecasting with air quality parameters and fuzzy logic for Konya: A case study of Meram

Abstract

The industrial revolution ushered in a period of fast technological advancement, which resulted in a surge in global consumerism. The phrase "air quality" has come to be associated with global climatic and environmental issues, particularly with industrialization around the world. Human activities have a higher impact on air pollution than natural events such as fires and volcanic eruptions. Air pollution has a variety of effects on natural and human life, including acid rain, respiratory disorders, and a decrease or rise in the number of living species in the environment. It is directly related to human health, particularly in cities that we might characterize as metropolises due to various industrial waste and gases. As a result, forecasting possible severe air pollution is critical for humans and the living ecosystem. The CO (μg/m3) parameter of the Meram district in Konya province was evaluated using fuzzy logic methods in this study. PM10, SO2, NO2, NOX, and periodicity are input factors in the models that determine CO. CO is gas that is extremely damaging to human health. When the comparison criteria are analyzed, the FCM algorithm with five input models produces the best results.