Document Type : Research Paper

Authors

• Mohammad reza Jamalizadeh Tajabadi
• Ali reza Moghadam nia
• Jamshid piri
• Mohammad reza Ekhtesasi

Abstract

Dust storms are common climatic events in arid, semi arid and desert regions of the world. These events impact human resources by foundation losses, every year. Accurate prediction of these events can be effective for decision support in environmental, health, army, and other related fields. An artificial neural network is a method which can predict nonlinear problems. In this study we attempted to predict dust storms and low visibility in Zabol city using synoptic data. Result indicates that this method is somewhat successful and appears that via identification of much more dust storm occurrence process, we can do more accurate prediction.
 

Keywords

• Dust storm
• minimum visibility
• Artificial Neural Network
• prediction
• Zabol