Time series analysis of air pollution in al-Hashimeya town Zarqa, Jordan

Abstract EN

Different time series analysis of yearly air pollution at Al-Hashimeya Town, central of Jordan, has been performed in this study.

Descriptive analysis showed different long-term variation of yearly air pollution.

High persistence in yearly air pollution time series were identified using autocorrelation function.

Autoregressive, integrated, and moving average (ARIMA) models were also calculated to predict future values of time series variable… It was found that time series analysis of Al-Hashimeya yearly air pollution data for the period 1992–2004 showed an overall decreasing trend in ambient air pollutants NO2, CO, H2S, NO and TSP.

This is likely due to regulatory measures implemented by the government in the preceding 13 years.

There was an increasing trend in PM10, NOx and Pb, whereas SO2 did not change much.