Integration of life cycle assessment (LCA) and modeling methods in investigating the yield and environmental emissions final score (EEFS) of carp fish (Cyprinus carpio) farms.

This study was conducted to investigate and predict the yield and environmental emissions final score (EEFS) of common carp fish farms in Shushtar county of Khuzestan province. The required data was collected from 115 carp fish farms selected by random sampling using face-to-face questionnaire and interview. The total input energy, the yield, and energy ratio were obtained as 293,127.95 MJ ha, 3389.28 kg ha, and 0.30, respectively. Electricity and feed consumption had the highest contributions to total input energy and environmental emissions. The normalization results showed that the marine aquatic ecotoxicity (MAET) and freshwater aquatic ecotoxicity (FAET) had the highest values among all impact categories with 671.50×10 and 152.60×10, respectively. Also, the EEFS was calculated per tons of carp fish as 7793.09 pPt. The comparison of results between the regression model and adaptive neuro-fuzzy inference system (ANFIS) indicated that in prediction of the yield, the accuracy values (R) of regression and ANFIS models were 0.87 and 0.99, respectively, while in prediction of EEFS, R of regression and ANFIS models were 0.98 and 0.99, respectively. In total, it was concluded that ANFIS model can predict the yield better than regression model.