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 2 - Serial Number 117, July and August 2026, Pages 175-323 

Keywords Cloud

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

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