تعیین وضعیت خشکسالی حوضه آبخیز کرخه بر‌اساس تصمیم‌گیری چند معیاره مبتنی بر آنتروپی شانون و مدل VIKOR

Global warming and climate change as a natural risk have caused periods of severe drought, and its assessment is particularly important for its planning and management. Therefore, the aim of the current research is to determine the severity of drought based on multi-criteria decision making based on Shannon entropy and VIKOR model in Karkheh watershed. For this purpose, the values ​​of 4 variables including average rainfall and annual temperature, Dumarten climate index and vegetation cover index (NDVI) were estimated in 32 meteorological stations. Using the Shannon entropy weighting method, weight was given to each of the variables, and finally the severity of the drought was prioritized based on the multi-criteria decision-making method based on the VIKOR model in the study stations, and the drought zone was created based on the IDW interpolation method. The results showed that variable C4 (NDVI) and C1 (average annual rainfall) had the highest and lowest weights with weights of 0.428 and 0.131, respectively. The results of the VIKOR model showed that the Aliabad bridge station and two Merak water stations have the highest and lowest priority in terms of drought severity, respectively. The results of the present research can provide managers and policymakers with valuable information about the drought situation in the region.