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

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