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Farzad Karimi, Mostafa Ahmadvand, Ali Heidari,
Volume 18, Issue 51 (7-2018)

This study aims at identifying optimal method for masuring degree and level of development with resprct to models commonly used (Taxonomy, TOPSIS, Moris, SAW, and VIKOR). It is an applied rsearch in terms of the purpose and also is a quantitative research that was carried out in a survey method. Statistical population of the study was the villages in the county with 20 or more households (89 villages). Accordingly, 566 rural households were determined and selected as a sample using Lin sample size table. To collect the data, a questionnaire was used. For determining the content validity of the questionnaire, a factor analysis and for internal consistency reliability, Cronbach's alpha was used. The Cronbach's alpha coefficient (0.561-0.955) indicated the optimality of the questionnaire. Matlab 7.10, Excel2010, SPSS20, and Arc-GIS Softwares were used for modeling the level of rural development in the county. Findings revealed that there was high significant relationship between the methods with regard to their ranking scores. Findings showed that the VIKOR was a suitable and powerful approach to determine level of rural development in the county. In VIKOR, the range of development degree was very high with compaire to other methods. In VIKOR similar to TOPSIS, negative and positive ideals were considered. VIKOR has a differenc with TOPSIS in considering criteria weight, In VIKOR at first, distance of each criterion from ideal was calculated, then the weights were added them. Therfore, in VIKOR against SAW and TOPSIS has a high sensivity to the weights. Furtermore, findings showed that Sarabtaveh, Deh Bare- Aftab Olia, and Tangary with regard to 51 criteria by 0.635, 0.608, and 0.579 scores, respectively were developing villages and Gavbarg, Cheshmeh Tabarghoo, Tal-Gahi with 0.182, 0.201, and 0.233 scores respectively were non-developed villages. Also, there wasn’t any village in level of completely undeveloped, developed and completely developed. Also, approximately half of villages (46.1 percent) with 21.46 percent of the population of the rural region were undeveloped villages. In addition, 69.35 percent of population in villages of the study was in developing stage.

Mohammad Ahmadvand, Shahriar Khaledi, Parviz Kardavani,
Volume 23, Issue 69 (7-2023)

Climate and the required parameters for agricultural products are the important factors of production. We can determine potential facilities in different areas and consider the maximum tapping through agricultural meteorology. Due to drylands potentials in Hamedan province, we conducted a comprehensive survey based on 20 years (1995-1995) climatic elements of 9 main and supplementary synoptic stations. Thus, according to wheat phenological conditions and matching those with climatic conditions requirements in Hamedan province, we surveyed effective indices in grow crops. Finally, using geographic information systems (GIS) we implemented climatic elements zoning and weighting. Then the appropriate and inappropriate areas of the province for dryland wheat were determined. Results indicated among the climatic elements, annual rainfall and its distribution during the growing season, also the grow degree day (GDD) are important factors in process of dryland wheat. Based on maps extracted from the GIS, about 18 percent of the areas of province which are located in west, south west including Nahavand, Tuiserkan and Asadabad cities, enjoy very potentials and 46percent medium, 34percent good and 2 percent of Ghahavand city of Hamedan city functions lacks the necessary talent. with no potentials.

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