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

Related Journals