TREND ANALYSIS OF AIR QUALITY OF GREATER NOIDA USING MANN-KENDALL AND SEN’S SLOPE METHOD

Abstract

Today air pollution has been 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 environment. Present study is therefore, aimed at analysing the readings of concentration of pollutants such as PM(10), CO, NO 2 , PM(2.5) and O 3 over the span of 5 years (2017-2021) at UPPCB reading centre Knowledge park III, Greater Noida, Uttar Pradesh. The Mann-Kendall and Sen’s Slope method is used to predict the trend of the recorded data and generalize the magnitude as well as upward or downward regression of the trend of each pollutant. We have analyzed the data with an Excel-embedded software MAKESENS (Mann–Kendall test for trend along with Sen’s slope estimates) and estimated the trends as positive (for PM (10) or negative (for NO 2 , PM (2.5) and O 3 ). Sen’s slope analysis indicates the steepness and the extent of the increment and decrement in the pollutants. Highest amount of increment was shown by PM (10) and highest decrement was shown by O 3 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 government to take actions on severely increasing pollutants such as PM (10) and to keep account of the extent of decrement of the pollutants like O 3 and NO 2 .