TY - JOUR ID - 77570 TI - Development of ANN, FIS and ANFIS Models to Evaluate the Adequacy Index in Agricultural Water Distribution Systems (Case study: Rudasht Irrigation Network) JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Sharifi, Habibeh AU - Roozbahani, Abbas AU - Hashemy Shahdany, Mehdi AD - MSc Student of Water Resources Engineering, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran, Tehran, Iran AD - Associate Professor, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran, Tehran, Iran Y1 - 2020 PY - 2020 VL - 7 IS - 3 SP - 635 EP - 646 KW - Agricultural Water Distribution KW - Delivery Adequacy KW - FIS KW - ANN KW - ANFIS DO - 10.22059/ije.2020.302414.1327 N2 - In order to properly manage water in the agricultural sector, it is necessary to improve the management of agricultural water distribution systems as well as their evaluation. In this research, to achieve this goal, the models of Fuzzy Inference System (FIS), Artificial Neural Network (ANN) and Adaptive Fuzzy Neural Inference System (ANFIS), to develop a smart model for analyzing the adequacy of water delivery in an irrigation canal, given uncertainty. In order to develop and evaluate the performance of the developed models, the main canal of Rudasht Irrigation Network in Isfahan province, which is facing the problem of severe fluctuations in the inflow, was selected as the case study. The HEC-RAS hydrodynamic simulator model was used to generate the information needed to train and validate these models. The results showed that according to the MAPE index, the selected structures in ANN and ANFIS models in estimating the adequacy index of agricultural water delivery compared to FIS model have improved by 57.07% and 56.68%, respectively. Evaluation of the results showed that the developed models compared to conventional evaluation methods (hydrodynamic models and evaluation indicators) not only did not take time but also provided more accurate results, considering the uncertainty and also, ANN and ANFIS models performed better than FIS, so they can be used for other agricultural water distribution systems. UR - https://ije.ut.ac.ir/article_77570.html L1 - https://ije.ut.ac.ir/article_77570_87479c27d9d9cf3e102354895790f133.pdf ER -