A

  • Ahmadi, Hojat A Review of Hydraulic Principles of River Water Intake: Focusing on Sediment Control without Submerged Vanes [Volume 27, Spring, 2026, Pages 44-17]

B

  • Bijnkhan, Mohammad Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

F

  • Fakuri, Sara Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

  • Farzanpour, Reza Estimation of Open Channel Flow Resistance Coefficient Under the Effect of Slope and Discharge Variation Using Gradually Varied Flow [Volume 27, Spring, 2026, Pages 16-1]

G

  • Gholizadeh, Mina Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

K

  • Khodamoradi vatan, Nasrin A Review of Hydraulic Principles of River Water Intake: Focusing on Sediment Control without Submerged Vanes [Volume 27, Spring, 2026, Pages 44-17]

  • Kohi, Sakineh Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

  • Kouchakzadeh, Salah Estimation of Open Channel Flow Resistance Coefficient Under the Effect of Slope and Discharge Variation Using Gradually Varied Flow [Volume 27, Spring, 2026, Pages 16-1]

M

  • Mazandaranizadeh, Hamed Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

  • Moghispour, Shabnam Estimation of Open Channel Flow Resistance Coefficient Under the Effect of Slope and Discharge Variation Using Gradually Varied Flow [Volume 27, Spring, 2026, Pages 16-1]

R

  • Rahimi Atani, Zeynab Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]

  • Ramezani Etedali, Hadi Development of an Artificial Neural Network Model for Estimating Agricultural Well Discharge Using Electricity Meter Data (Case Study: Qazvin Plain) [Volume 27, Spring, 2026, Pages 45-68]