Assistant Professor, Department of Geography, the University of Zanjan   M.A Student, Climate in environmental planning, the University of Zanjan   Abstract  This study is to identify these factors in order to design a plan for reducing hail damages in the vulnerable areas of the East Azarbaijan province. For this purpose, the daily hailing data from 6 stations in East Azarbaijan province between 1987- 2006 years were collected. The results revealed that the highest amount of hailing happened in the south west of the province (marageh district), while the lowest was in the north west (jolfa district)and Poisson distribution shows that it best fitted the hail data on the study area.
Mir Mousavi, S. H. and Akbarzadeh, Y. (2010). Application of the Poisson and Negative Binomial Distributions to Hail Days Probabilities Case Study: East Azarbaijan Province. Geography and Environmental Planning, 20(4), 73-84.
MLA
Mir Mousavi, S. H. , and Akbarzadeh, Y. . "Application of the Poisson and Negative Binomial Distributions to Hail Days Probabilities Case Study: East Azarbaijan Province", Geography and Environmental Planning, 20, 4, 2010, 73-84.
HARVARD
Mir Mousavi, S. H., Akbarzadeh, Y. (2010). 'Application of the Poisson and Negative Binomial Distributions to Hail Days Probabilities Case Study: East Azarbaijan Province', Geography and Environmental Planning, 20(4), pp. 73-84.
CHICAGO
S. H. Mir Mousavi and Y. Akbarzadeh, "Application of the Poisson and Negative Binomial Distributions to Hail Days Probabilities Case Study: East Azarbaijan Province," Geography and Environmental Planning, 20 4 (2010): 73-84,
VANCOUVER
Mir Mousavi, S. H., Akbarzadeh, Y. Application of the Poisson and Negative Binomial Distributions to Hail Days Probabilities Case Study: East Azarbaijan Province. Geography and Environmental Planning, 2010; 20(4): 73-84.
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