Detecting air pollutants trends using Mann-Kendall tests and Sen’s slope estimates

Abstract

Recently, trend detection in ambient air pollutants has received a lot of interest, particularly in relation to climatic changes. Air pollutants data that were acquired from monitoring stations from 2015 to 2021 were used in the current investigation. The direction and size of the monotonic trend were determined using the Mann-Kendall test and Sen's slope estimator. The findings showed that there was significant fluctuation in different parameters over time. According to the study, SO2 and NO2 indicate a slightly increasing tendency with approximate annual concentrations of 6mg/m3 and 40mg/m3, respectively, whereas PM2.5 shows a decreasing trend with an approximate annual concentration of 130mg/m3. For all of Odisha's districts, PM10 exhibits no trend, with annual concentrations of about 90mg/m3. The study found that while NO2, PM2.5, and PM10 concentrations were significantly over the standard allowed limits while SO2 concentrations were significantly below them. Specific actions are needed to reduce these pollutants' emissions in Odisha.

Keywords

• Air Quality
• NO2
• Particulate matter
• SO2
• Trend analysis