| Abstrakt: |
Considering the importance of minimum and maximum temperatures in the agricultural and gardening sector, which each year causes significant losses in this sector. In order to avoid hazards in this section, detailed research has to be done and then filed a file with management and planning. The purpose of the present study and forecast the hazardous effects of thirty days extremes temperature on gardening and agronomy crops in the north bar of Iran. For this purpose, the first stage data were obtained for the whole station temperature over a period of 30 years (1989-2018). Then, using ANFIS (Adaptive-Network-based Fuzzy Inference Systems) adaptive neural network model, the data were analyzed for prediction in the next 6 years. Then, to measure the land suitability of Iran's northern strip for cultivating based on the predicted data, two models including Vikor (Vlse Kriterijumsk Optimizacija Kompromisno Resenje) and Topsis (Technique for Order Preference by Similarity to Ideal Solution) were used. Both the Topsis and Vikor multivariate decision making models combined the minimum temperature of the stations well, but did not reflect well at the maximum temperature in the worst-priority stations. According to the findings of the study, with respect to the friction extremes modeling, the maximum temperature showed the lowest defect compared to the minimum temperature. In Golestan province, the maximum temperature peaks and at least both are in weak increment, but in Gilan province, the maximum temperature peaks and at least both the maximum and maximum temperatures are higher. Mazandaran province showed maximum temperature and minimum temperature in both incremental and minimum temperature conditions. [ABSTRACT FROM AUTHOR] |
