Fuzzy Air Quality Index for Air Quality Assessment in Gujarat

Abstract

In the current scenario, the determination of air quality is of utmost importance, as it is the most imperative factor for human health and the environment. Monitoring of air pollutants and their estimation is one of the essential prerequisites for predicting air pollution. The Air Quality Index (AQI) is a reliable indicator of air quality in any location. The chief air pollutants considered for assessment of AQI are particulate matter, SO2, NO2, ground-level ozone, and carbon monoxide. The Central Pollution Control Board and State Pollution Control Boards in India monitor the quality of the air. The conventional AQI determination implies a linear interpolation method to calculate the AQI. A discrete score is allocated to each pollutant based on its measured concentration, and the AQI is computed using the pollutant with the highest score. The present investigation is done to compute AQI in the territory of Gujarat from 2015 to 2017 by using a fuzzy inference system. In order to create the fuzzy air quality index in this work, the fuzzy logic system is used, and membership functions are fed into the Mamdani fuzzy inference system (FIS). The projected AQI values using a fuzzy system are compared with the conventionally calculated AQI values. It is observed that the Fuzzy logic-based system is a more consistent method and provides precise prediction. As a result, the article suggests a fuzzy logic-based method for choosing the Air Quality Index that becomes progressively dependable.