Iranian Journal of Irrigation & Drainage

Iranian Journal of Irrigation & Drainage

Iranian Journal of Irrigation and Drainage is a scientific-research publication that has been approved and approved by the Ministry of Science, Research, and Technology. This publication is affiliated with the Iranian Irrigation and Drainage Scientific Association, which has the purpose of publishing research and scientific works of experts in irrigation and drainage science and engineering, as well as related scientific fields such as weather, climatology, water and soil, economics and water rights. , climate change, agriculture, etc. An additional objective of this publication is to establish a context for increasing knowledge and research, scientific-research creativity, and communication between the country's scientific departments, as well as for transferring and exchanging new scientific findings and results

Published by: Iranian Irrigation and Drainage Association

Publication frequency: biannual (scientific)

Arbitration type: Bimonthly

Language of publication: Persian with an English abstract

The publication policy: Open access for all articles

Ranking in the last evaluation of the country's scientific publications: B

This journal is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws

Current Issue: Volume 20, Issue 1 - Serial Number 116, May and June 2026, Pages 1-174 

Effect of Sprinkle Irrigation System on Water Productivity of Fresh Mulberry Leaf for Silk Production

Pages 87-99

10.22034/idj.2025.550041.2633

Majid Saber Zideh Saraei, Youssef Hamidoghli, Davoud Bakhshi, Mohammadreza Khaledian, Reza Sourati Zanjani

Optimal location of pumping wells in coastal aquifer using the simulation-optimization model (MLPG - MOIPO)

Pages 130-146

10.22034/idj.2025.545845.2625

Zahra Baazm, Abolfazl Akbarpour, Mostafa Yaghoobzadeh, Seyed Saeid Eslamian, Hossein Khozeymehnezhad

Keywords Cloud

  • Water productivity
  • Yield
  • Deficit irrigation
  • evapotranspiration
  • Water Use Efficiency
  • Groundwater
  • optimization
  • Discharge coefficient
  • Drip Irrigation
  • Salinity
  • Drought
  • Water requirement
  • irrigation
  • water stress
  • Irrigation management
  • Remote Sensing
  • Simulation
  • Calibration
  • Water Quality
  • Climate change
  • Wheat
  • Artificial Neural Network
  • soil moisture
  • Wastewater
  • climate change
  • AquaCrop
  • Production Function
  • Corn
  • Surface irrigation
  • Precipitation
  • Furrow irrigation
  • virtual water
  • Sensitivity analysis
  • Agriculture
  • Water Table
  • Drought stress
  • Modeling
  • Food Security
  • Flow-3D
  • subsurface drip irrigation
  • Uncertainty
  • Reference Evapotranspiration
  • GIS
  • Lysimeter
  • Water resources
  • runoff
  • Nitrate
  • Irrigation system
  • heavy metals
  • Urmia Lake
  • water footprint
  • Green water
  • Interpolation
  • Soil texture
  • Validation
  • Pressurized irrigation
  • Regression
  • Proline
  • Hydraulic conductivity
  • Flow Pattern
  • Efficiency
  • Water balance
  • LARS-WG
  • FAO Penman-Monteith
  • evaluation
  • Biomass
  • salinity stress
  • Grain yield
  • Chlorophyll
  • land use
  • AquaCrop model
  • Downscaling
  • Scour
  • Physical Model
  • Compound channel
  • Sustainable agriculture
  • GMS
  • prediction
  • performance
  • Crop Modeling
  • Crop coefficient
  • time series
  • Blue water
  • Seed yield
  • SWAT
  • Electrical conductivity
  • Greenhouse
  • Application efficiency
  • Irrigation scheduling
  • Positive Mathematical Programming
  • Irrigation water
  • Laboratory model
  • Distribution Uniformity
  • Sprinkler Irrigation
  • Hydraulic jump
  • NDVI
  • Irrigation network
  • Genetic Algorithm
  • Neural Network
  • Porous media
  • Leaf area index
  • Trickle Irrigation
  • scaling
  • planting date
  • LARS-WG model
  • MODIS
  • MODFLOW
  • aquifer
  • SWAT model
  • Kriging
  • Infiltration
  • sugarcane
  • Water Resources Management
  • Water use
  • Energy dissipation
  • Seepage
  • Hydraulic Gradient
  • Water management
  • Saline Water
  • Productivity
  • Landsat
  • cropping pattern
  • Irrigation frequency
  • crop yield
  • medicinal plants
  • Desalination
  • Field capacity
  • Data mining
  • Crop water requirement
  • Random forest
  • Unconventional Water
  • Golestan
  • Irrigation Networks
  • cotton
  • maize
  • Spur Dike
  • Gene expression programming
  • Virtual water trade
  • Crop Pattern
  • satellite images
  • finite volume method
  • groundwater level
  • Water Pollution
  • Zeolite
  • Machine Learning
  • unconfined aquifer
  • Nitrate leaching
  • Wetting pattern
  • Irrigation efficiency
  • decision tree
  • Support Vector Machine
  • Quinoa
  • farmers
  • Drainage
  • HYDRUS-2D
  • Unsteady flow
  • HadCM3
  • Sodium chloride
  • Dimensional Analysis
  • Magnetic water
  • HYDRUS-1D
  • GPR
  • Sodium
  • Scouring
  • Semivariogram
  • Evaporation pan
  • Irrigation planning
  • Irrigation methods
  • Management
  • Crop model
  • Standardized precipitation index
  • Flood Routing
  • Sedimentation
  • soybean
  • Tomato
  • numerical simulation
  • Water Demand
  • Partial Root-zone Drying
  • Sediment transport
  • Water Salinity
  • Rasht
  • flood
  • MATLAB
  • uniformity coefficient
  • Energy balance
  • Wavelet
  • Temperature
  • local scour
  • irrigation interval
  • debris flow
  • Soil salinity
  • SWAP model
  • Biochar
  • Iran
  • Experimental Model
  • Water
  • Pollution
  • Scenario
  • Kermanshah
  • Applied water

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