Modeling and simulation of urban air quality with a 2-phase assessment technique

Abstract

Modeling of air quality is a statistical simulation of how air pollutants spread and react in the environment to impact the quality of atmospheric air. A 2-Phase assessment simulation model is presented to assess air quality to evaluate the toxic level of each pollutant in the air, which can harm the health of sensitive people. The first phase calculates the score for each factor of air quality using the sigma operator based on the presence of toxic levels, rate of occurrence, and variations in toxic levels of each pollutant. The second phase introduces a fuzzy inference system to classify the air quality index based on different pollution levels. A comparison is presented for the air quality index among the 2-phase assessment model with the air quality indices presented by Indian government agencies. Results prove that the proposed model can be used to assess the air quality of urban areas.