Trend Analysis of Air Quality of Greater Noida Using Mann–Kendall and Sen’s Slope Methods

Abstract

Today, air pollution is one of the prominent queries to deal with for any country including India. Reducing the amount of pollutants in the air is important for human health and the environment. The present study is, therefore, aimed at analyzing the readings of concentration of pollutants such as PM (10), CO, NO₂, O₃, and PM (2.5) over the span of 5 years (2017–2021) at UPPCB Reading Center Knowledge Park III, Greater Noida, Uttar Pradesh. The Mann–Kendall method of Sen's Slope is used for predicting the trend of the recorded data and generalizing the magnitude as well as upward or downward regressions of the trend of each pollutant. We have analyzed the data with software embedded within Excel called MAKESENS (Mann–Kendall test regarding trends with Sen’s slope estimates) and estimated the trends as positive (for PM (10) or negative (for NO₂, PM (2.5), and O₃). Sen’s slope analysis indicates the steepness and the extent of the increment and decrement in the pollutants. The highest amount of increment was shown by PM (10) and the highest decrement was shown by O₃ over the span of 5 years. Interestingly, the trend shown by CO is 0 which means that in upcoming years the CO will neither decrease nor increase. These trends will help the government to take action on severely increasing pollutants such as PM (10) and to keep account of the extent of decrement of the pollutants like O₃ and NO₂.