Share This Article:

Air Pollution Analysis in Kuwait Using a Statistical Technique (CUSUM)

Full-Text HTML XML Download Download as PDF (Size:6957KB) PP. 254-294
DOI: 10.4236/ijg.2019.103016    219 Downloads   392 Views


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.

Cite this paper

Al-Rashed, A. , Al-Mutairi, N. and Al Attar, M. (2019) Air Pollution Analysis in Kuwait Using a Statistical Technique (CUSUM). International Journal of Geosciences, 10, 254-294. doi: 10.4236/ijg.2019.103016.

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.