الفهرس 
ContentsOnly 14 pages are availabe for public view
 |  | from | 178 |  |  |
| | | from | 178 | | |
Abstract
Air quality has decreased drastically in Egypt which is particularly evident in the two major cities of Cairo and Alexandria, where more than 80 percent of industrial activities take place. The air quality due human action can be investigated by long term and large area monitoring. Hence, air quality monitoring networks are urgently needed where; they monitor air quality over large area. So, the Egyptian Environmental Agency (EEAA) directed an air pollution monitoring project for Egypt. Air pollutants such as SO2, NOX, 63, CO and PMio have been collected through automatic monitoring stations. Three sites have been selected for Alexandria, (IGSR, Alexandria background and Shouhada) and three in Delta region (Kafre El-Zayat, El-Mahala, Mansoura.
The collected air quality data are often characterized by large fluctuations with no obvious autocorrelation. So, the air quality data should be analyzed well by specialists. Analyses on complex air quality databases should be performed to identify patterns, understand cause-and-effect relationships, and provide support to the development of pollution control programs. In this study, we present a deep air quality analysis in Alexandria and Delta data that are monitored by network directed by the Egyptian Environmental Agency (EEAA). The aims of this work are to:
1. Carry out statistical analysis and assessment of air quality in Alexandria and the Delta.
2. Develop a time series model for possible prediction.
3. Suggest appropriate control measures.