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

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