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

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