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

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