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 19, Issue 6 - Serial Number 115, March and April 2026, Pages 885-1052 

Optimization of Agricultural Cultivation Area with Emphasis on Water and Food Security

Pages 910-923

10.22034/idj.2025.535271.2612

samire raisi sarhadi, Ommolbanin bazrafshan, Hadi Ramezani Etidali, Esmaeil Previous domain, Marzieh Rezaei

Keywords Cloud

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

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