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 ...
The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and S...
One of the most important environmental problems facing the globe today is air pollution. The centre...
Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known...
The air is polluted and the atmospheric pollution has becoming a great problem for human beings due ...
Different time series analysis of daily air pollution of Isfahan city were performed in this study....
Abstract: Problem statement: Both developed and developing countries are the major reason that affec...
Time series analysis and forecasting has become a major tool in many applications in air pollution a...
Air pollution has temporal and spatial variability. Time series analysis is commonly used to evoluti...
Time-series analysis and forecasting has become a major tool in many applications in air pollution a...
It is well known that, air pollution is a composite phenomenon and intense air pollution events are ...
Problem statement: Both developed and developing countries are the major reason that affects the wor...
A study of air pollution in Jahra residential area has been conducted over a period of five years on...
This study implements the statistical analysis to establish the association between air pollutiontre...
Air pollution has temporal and spatial variability. Time series analysis is commonly used to evoluti...
The air pollution index (API) has been recognized as one of the important air quality indicators use...
The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and S...
One of the most important environmental problems facing the globe today is air pollution. The centre...
Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known...
The air is polluted and the atmospheric pollution has becoming a great problem for human beings due ...
Different time series analysis of daily air pollution of Isfahan city were performed in this study....
Abstract: Problem statement: Both developed and developing countries are the major reason that affec...
Time series analysis and forecasting has become a major tool in many applications in air pollution a...
Air pollution has temporal and spatial variability. Time series analysis is commonly used to evoluti...
Time-series analysis and forecasting has become a major tool in many applications in air pollution a...
It is well known that, air pollution is a composite phenomenon and intense air pollution events are ...
Problem statement: Both developed and developing countries are the major reason that affects the wor...
A study of air pollution in Jahra residential area has been conducted over a period of five years on...
This study implements the statistical analysis to establish the association between air pollutiontre...
Air pollution has temporal and spatial variability. Time series analysis is commonly used to evoluti...
The air pollution index (API) has been recognized as one of the important air quality indicators use...
The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and S...
One of the most important environmental problems facing the globe today is air pollution. The centre...
Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known...