Water resources management is faced with many limitations and dimensions in the course of transformation in its conditions and scope of action. Based on this, identify the factors affecting the sustainable management of water resources. It is considered an important measure for its optimal use. Therefore, in the present study, the effective factors on the sustainable management of water resources were investigated based on the farmers' point of view. This research is descriptive-analytical in nature. And in terms of purpose, it is practical. And the approach governing it is quantitative. The statistical community is formed by the household heads of agricultural lands in the central part of Ardabil County. in order to review the issue Seven indicators were used in the form of 72 items. Structural equation modeling (Smart PLS) was used to analyze the issue. A review of the findings shows the initial evaluation of the measurement model indicates the appropriateness of the model. The results of the model execution showed, that five factors had a factor loading of less than 0.5 and were removed from the list of factors. The results of running the model again showed that all the remaining 68 items had an effect rate higher than 0.5. The results of the structural model indicate the existence of a significant structural relationship between sustainability management and economic, social, productivity, technical, educational, and institutional effects. The index of the coefficient of square determination showed that this coefficient was estimated to be higher than the strong value of 0.26 for all research indicators. The coefficient of determination index for the economic index was estimated to be 0.299 less than other indices, and the productivity index was estimated to be 0.511 more than other indices. The results show that reviewing and revising the management perspectives of agricultural water resources and moving towards a cross-sectoral and collaborative perspective based on optimal management, which along with maintaining the economic, social, technical, educational, etc. dimensions, plays an essential role in providing sustainable management. It plays water resources.

Water Resource plays a pivotal role in sustainable development of every area, especially in rural areas. The challenge of dehydration is one of the greatest challenges in 21st century because it can be the source of many of the world's social and ecological changes. The agricultural sector as the most important economic sector in the rural areas is directly affected by the shortage of water resources. Identifying the attitudes and solutions of indigenous farmers in facing to water deficiency plays a key role in appropriate strategies and improving the capacity of local communities to adapt to it. The purpose of this study was to investigate the attitude of farmers in the villages of Bahar County in Hamadan province toward the challenge of dehydration and identify appropriate strategies and strategies for mitigation and adaptation in the region. This research is a descriptive-analytical study. The statistical population of the study is 68 villages in Bahar County with 18376 households. According to Cochran formula, there was needed to complete the questionnaire by 375 farmers as the number of the samples. The main data were collected through a field survey using a questionnaire. The sampling method was random and the number of samples in each village was determined by proportionate stratified sampling based on the number of farmers and the questionnaires were completed randomly. Data analysis was performed using confirmatory factor analysis in Lizrel software. The attitude of the villagers towards the aridity challenge was respectively cognitive attitude with (0.883), behavioral attitude with (0.867) and emotional attitude with (0.517) of factor analysis. Therefore, it can be concluded that the villagers' attitude to the challenge of dehydration is a cognitive-behavioral. Based on this, 12 strategies consistent with the status of the region have been proposed for optimal resource management and crop water productivity.