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

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