Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran
Water quality causes severe restrictions on the utilization of water resources. Corrosion and scaling are the most common problems in the operation and maintenance of water facilities. Corrosive indices are an indirect method of detecting and measuring water's tendency to corrosion and scaling. Water corrosion and scaling are complex phenomena that cannot be easily modeled. This study used meta-heuristics methods such as artificial neural networks (ANN) and gene expression programming (GEP) to predict the water’s corrosion and scaling potential of the distribution network in some rural areas of Kermanshah province. Equations were extracted to estimate water corrosion and scaling indices using linear regression and GEP. The results showed that ANN can reveal water corrosion and scaling indices where correlation values were found to be 0.95, 0.91, 0.96, 0.92, and 0.99, and the lowest error percentages were 0.20, 0.44, 0.40, 0.44, and 0.08 for Langelier saturation index (LSI), Ryznar stability index (RSI), Puckorius scaling index (PSI), Aggressive index (AI), and Larson–Skold index (L-SI), respectively. Also, using linear and nonlinear relationships obtained by a high-precision GEP model (0.80 to 0.97), we can estimate corrosion and scaling indices with lower cost and more accuracy by measuring the most influential physicochemical parameters.
Fatemi, A. , Vaisi, S. and Ghobadian, R. (2025). Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran. Advances in Environmental Technology, (), -. doi: 10.22104/aet.2025.7194.1980
MLA
Fatemi, A. , , Vaisi, S. , and Ghobadian, R. . "Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran", Advances in Environmental Technology, , , 2025, -. doi: 10.22104/aet.2025.7194.1980
HARVARD
Fatemi, A., Vaisi, S., Ghobadian, R. (2025). 'Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran', Advances in Environmental Technology, (), pp. -. doi: 10.22104/aet.2025.7194.1980
CHICAGO
A. Fatemi , S. Vaisi and R. Ghobadian, "Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran," Advances in Environmental Technology, (2025): -, doi: 10.22104/aet.2025.7194.1980
VANCOUVER
Fatemi, A., Vaisi, S., Ghobadian, R. Water’s corrosion and scaling potential prediction using artificial neural networks and gene expression programming in several rural water distribution networks in Kermanshah Province, Iran. Advances in Environmental Technology, 2025; (): -. doi: 10.22104/aet.2025.7194.1980
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