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Exploring canola planting area using AHP associated with GIS in Meymeh–Zarinabad of Iran
Hassan Fathizad,Nasibeh Pakbaz,Hamid Sodaiezadeh,Saeed Shojaei 대한공간정보학회 2017 Spatial Information Research Vol.25 No.3
Studying physiological needs of plants and their climatic parameters are the main factors to reach optimal productions and reduce the plant injuries such as adverse effects of the harsh environmental conditions. The present study was conducted to evaluate the five main criteria including climate (containing sub criteria of annual minimum temperature, annual mean temperature, annual maximum temperature, annual relative humidity, and annual glacial), soil, slope, land type and land use in locating the capable areas for planting canola in Meymeh–Zarinabad, south west of Iran, using GIS and AHP. For this purpose, meteorological data taken from 26 synoptic stations were used. All criteria were weighted and modeled using AHP and GIS. The results showed the climate and slope with respectively 0.33 and 0.24 are the most important factors for planting canola. Besides, the capability of the case study for this species was classified in four classes of very good, good, medium, and feeble. Results indicated 565,684, 90,586, 63,000 and 51,247 ha were respectively very good, good, medium and feeble. The role of climatic and ground parameters is different in various areas, so with integrating the effective layers, appropriate areas for canola will be obtained.
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