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

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