Document Type : Research Paper

Authors

• Zohreh Maryanaji ¹
• Hamed Abbasi ²

¹ Assistant professor, Department of Climatology, Sayyed Jamaleddin Asadabadi University

² Assistant professor , Department of Geography, Lorestan University, Lorestan, Iran

Abstract

Abstract
Two important characteristics of Hamedan climate are irregular precipitation time and maximum 24-hour precipitation in the months of March (20th) and April (20th). This factor, namely severe rainfall, has increased the risk of flood in this province. The precipitation is snowy in the winter season, and the melting time accompanied by the rain, causes rivers to flood. The land’s lack of the crop and vegetation cover in other months of the year and the dryness of the soil and ..., increase the flood. Flooding factors are diverse in Hamadan province. Some of the most important factors influencing the flooding of an area are climate, inequalities of vegetation, etc. In this paper, maximum daily rainfall has been investigated in order to predict the amount of water that can be extracted from floods and to plan for management of the region’s water resources. For this purpose, on the basis of maximum 24-hour precipitation, the map of the elevation and rainfall gradient model and the rain map of the region for the return period of 2,10,25,50 with the ‘best statistical distribution’ method for the region (Gamble distribution) are estimated and zoned in the GIS environment (by Kriging method) and the probable daily precipitation decreases by the reduction in the return period.Accordingly, during the aforementioned return periods, the southeast and northwest regions of Hamadan province (Dasht-e-KaboodarAhang) have the most probable daily precipitation.The abundance of the number of floods in the province reflects the fact that the aforementioned regions have the highest numbers and the (the most terrible floods in the province (1987 flood in KaboodarAhang region). According to these maps, the eastern parts of the province have the least probable daily precipitation. The results of this study can be used in flood zoning and forecasting as well as planning and management of water resources in the region.

Keywords

• GIS
• PMP
• Maximum dailyprecipitation
• Flooding
• Hamedan Province

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