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

Related Journals