Assessment of Universal Kriging Models to Interpolate Rainfall and Temperature and Determination of Climatic Suitability of Golestan Province Crop Lands to Sow Winter Wheat and Faba bean using GIS

Document Type : Research Paper

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Abstract

In this research, the spatial variation of minimum, mean and maximum temperature and precipitation were assessed in crop lands of Golestan province using different universal Kriging models in 2014. For this purpose, the long term data of 51 synoptic stations and rain recording stations of Golestan province were used. The long term recorded data of 32 synoptic stations of Golestan, Mazandaran, Semnan and North Khorasan provinces were used to interpolate the minimum, mean and maximum temperature and raining. Average temperature and total rain for every month during the year was also calculated. Final temperature and rain related layers were provided using overlay function for each month. According to interpolation results, July and November were the warmest and coldest months of the year, respectively. Also March and June are the most and the least rainy months of the year, respectively. After classification of  layers according to ecological requirements of  winter wheat and faba bean, we found that crop lands of Golestan province has no limitation for sowing winter wheat and faba bean with respect to maximum and minimum temperatures and placed in very suitable classification. With overlay of classified layers of rainfall, minimum, mean and maximum temperature, suitability map for climatic requirements of each crop was provided. Results showed that suitability decreased from west to east and south to north of Golestan province.

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