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

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