Determining the Operating Rules Of Doroodzan Reservoir Using the Adaptive Network Fuzzy Inference System (ANFIS)

• Main Authors: M. H. Tarazkar, M. zibaei, G.R. Soltani, M. Nooshadi
• Format: Article
• Language: fas
• Published: Isfahan University of Technology 2018-09-01
• Series: علوم آب و خاک
• Subjects: rule curve; fuzzy inference system; neuro-fuzzy network; reservoir operation index
• Online Access: http://jstnar.iut.ac.ir/article-1-3417-en.html

Nowadays, water resource management has been shifted from the construction of new water supply systems to the management and the optimal utilization of the existing ones. In this study, the reservoir operating rules of Doroodzan dam reservoir, located in Fars province, were determined using different methods and the most efficient model was selected. For this purpose, a monthly nonlinear multi-objective optimization model was designed using the monthly data of a fifteen-year period (2002-2017). Objective functions were considered as minimizing water scarcity index in municipal, industrial, environmental and agricultural sectors. In order to determine the operating rule curves of reservoir, in addition to the nonlinear multi-objective optimization model, the methods of ordinary least-squares regression (OLS), fuzzy inference system and adaptive network fuzzy inference system (ANFIS) were used. Also, the reliability, resiliency, vulnerability and sustainability criteria were used to compare the different methods of reservoir performance rules. The results showed that ANFIS model had the higher sustainability criterion (0.26) due to its greater reliability (0.7) and resilience (0.42), as well as its lower vulnerability (0.13), thereby showing the best performance. Therefore, ANFIS model could be effectively used for the creation of Doroodzan reservoir operation rules.