@article{(Open Science Index):https://publications.waset.org/pdf/5584,
	  title     = {Dust Storm Prediction Using ANNs Technique (A Case Study: Zabol City)},
	  author    = {Jamalizadeh and  M.R. and  Moghaddamnia and  A. and  Piri and  J. and  Arbabi and  V. and 
Homayounifar and  M. and  Shahryari and  A.},
	  country	= {},
	  institution	= {},
	  abstract     = {Dust storms are one of the most costly and destructive
events in many desert regions. They can cause massive damages both
in natural environments and human lives. This paper is aimed at
presenting a preliminary study on dust storms, as a major natural
hazard in arid and semi-arid regions. As a case study, dust storm
events occurred in Zabol city located in Sistan Region of Iran was
analyzed to diagnose and predict dust storms. The identification and
prediction of dust storm events could have significant impacts on
damages reduction. Present models for this purpose are complicated
and not appropriate for many areas with poor-data environments. The
present study explores Gamma test for identifying inputs of ANNs
model, for dust storm prediction. Results indicate that more attempts
must be carried out concerning dust storms identification and
segregate between various dust storm types.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {2},
	  number    = {7},
	  year      = {2008},
	  pages     = {156 - 164},
	  ee        = {https://publications.waset.org/pdf/5584},
	  url   	= {https://publications.waset.org/vol/19},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 19, 2008},
	}