The purpose of this paper is to investigate the social, economic, and environmental effects of drought from the viewpoint of villagers, with the structural equation modeling approach. The purpose of this study is of applied research type, and is essentially a descriptive-correlation research. The population of the study, 1762 heads of households and sample size were determined according to Cochran formula, 316 people. Data analysis was performed using SPSS22 software and Structural Equation Modeling (SEM). In this research, the observed variables were obtained for three components: economic, social, and environmental. Three first-factor factor analysis models were designed, measured, and validated for measuring three sub-scale droughts. Finally, the role and effect of observed variables and their triple components derived from the drought, as the main hidden dependent variable, and the relationships between them, were analyzed with the help of a structural model of the factor-factor analysis (CFA) of the quadratic factor of the second order. The results of the fitting and validation of all three models of drought measurement, and the realization of goals, as well as the quadratic model of second order, were evaluated based on the data for drought evaluation. Finally, drought affected by socioeconomic and social indicators of 0. 97, and environmental index was 0. 87, so the drought in the studied villages areas had the greatest impact on economic and social indicators, and As a result, it has been placed on an environmental index.

Evaluating environmental impact can help urban and regional planner and manager to understand the impacts of development plans on human well-being and environmental health. Therefore, it can enable them to prevent environmental pollution and degradation. This descriptive- analytical research aimed to assess environmental, physical, economic and socio-cultural impacts of Talesh Industrial Estate on Kashli village as the nearest settlement to the estate. Data were collected using a questionnaire. The variables are set in 29 items and were evaluated in 11 ranges by 270 sample people on the basis of a model adopted from Pastakia method. Findings showed that the industrial estate had more positive consequences than negative ones. Positive and negative consequences are more prominent in economic dimension and in environmental dimension respectively. Of the 29 impacts evaluated, the estate has had 16 positive and 13 negative impacts.