Investigating the possibility of decreasing the negative effects of drying of Urmia Lake on rural economy with an emphasis on alternative cropping pattern. Case study: (Marhamat Abad Conty, Miyandoab Township)

The purpose of this study is to investigate the ways to reduce the effects of drying water of Lake Urmia with an emphasis on alternative crops. Therefore, the research is essentially experimental in terms of its purpose. Library and field studies (observation, interviews and questionnaires) have been used to collect data and information. The area of research is located in the village of Marhamat Abad Conty, north of the city of Miyandoab , which has 8 villages. Due to the low number of villages, sampling was not performed and all villages were considered as a statistical society. This village has 3014 households and 10146 inhabitants according to the census of 1395. The number of 266 households was selected using the modified Kochran formula. Household selection was done by simple random method. Reliability of the questionnaire is 0.810 with the Cronbach's alpha formula. Descriptive statistics and inferential statistics (T Single Sample and Friedman) were used to analyze the data and information. The results of the research showed that the average of all four indicators of sustainable rural economy (income, capital, agricultural products and employment) is higher than the utility number 3, while the employment index with an average of 3.63 and T-value of 14.77 and an agricultural production index with an average of 3.38 And T 6.21 have the most negative effects on the drying of Lake Urmia water and among the proposed solutions to reduce the negative impacts of Lake Urmia in the villages of Marhamat Abad Conty, north of Rasht "Variety to rural economy in the agricultural and non-agricultural sector "With an average of 3.89 and a" modification of the pattern of cultivation and cultivation of dehydrated crops " The average rating of 3.73 was the most important solution for this field from the perspective of the statistical population.