Investigating the changes in the air pollutants trends of an area is important as it helps in making further action plans for further implementation of control strategies. Time series analysis provides
indication to analyze any effect of uncontrolled changes in pollutants. In this study, exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) analyzing methods are applied for detecting the trends and change in air pollutant concentrations in Kuwait. CUSUM method is effective in detecting
shifts from average mean obtained by EWMA technique. The study aimed to investigate trends in major pollutants in three selective areas in Kuwait during the past five years. The data obtained from three monitoring stations in the study areas Ali Subah Al-Salem, Al-Mutla, and Al-Mansouriya for carbon
monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2),
particulate matter—less than 10 micrometers (PM10), hydrogen sulphide (H2S),
and non-methane hydrocarbon (NMHC). Increase in CO and NMHC concentrations in the three areas and decrease in PM10, SO2, and NO2 concentration levels in non-industrial areas Al-Mutla and Al-Mansouriya are observed using CUSUM method.
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https://doi.org/10.1016/j.atmosenv.2006.09.052
