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 3 - Serial Number 118, September and October 2026, Pages 325-518 

Prediction of Scour Depth and Length Around Buried Pipelines Using Machine Learning Methods

Pages 411-430

10.22034/idj.2026.575752.2671

Tohid Omidpour Alavian, Mahdi Majedi Asl, Meysam Golinejad Sham Asbi, Mehdi Kouhdaragh

Investigation of Biochar as an Adsorbent for Cadmium Removal from Aqueous Solution

Pages 473-485

10.22034/idj.2026.579942.2681

Zeynab izad, Fatemeh Abyar Firouzabadi, , Somayeh Soltani-Gerdefaramarzi

Keywords Cloud

  • Water productivity
  • Yield
  • Deficit irrigation
  • evapotranspiration
  • Water Use Efficiency
  • Groundwater
  • Drip Irrigation
  • optimization
  • Discharge coefficient
  • Salinity
  • Drought
  • Water requirement
  • irrigation
  • Irrigation management
  • water stress
  • Remote Sensing
  • Water Quality
  • Calibration
  • Wheat
  • Simulation
  • Climate change
  • Artificial Neural Network
  • soil moisture
  • Wastewater
  • climate change
  • AquaCrop
  • Precipitation
  • Surface irrigation
  • Corn
  • Production Function
  • Furrow irrigation
  • virtual water
  • Agriculture
  • Sensitivity analysis
  • Modeling
  • Water Table
  • Drought stress
  • Food Security
  • Lysimeter
  • Flow-3D
  • Water resources
  • subsurface drip irrigation
  • Validation
  • Reference Evapotranspiration
  • Uncertainty
  • Pressurized irrigation
  • GIS
  • Soil texture
  • Hydraulic conductivity
  • heavy metals
  • Irrigation system
  • runoff
  • Biomass
  • Urmia Lake
  • Regression
  • Green water
  • Interpolation
  • Nitrate
  • water footprint
  • Efficiency
  • Seed yield
  • evaluation
  • salinity stress
  • Flow Pattern
  • Water balance
  • AquaCrop model
  • Grain yield
  • LARS-WG
  • Proline
  • FAO Penman-Monteith
  • NDVI
  • Scour
  • Crop coefficient
  • Compound channel
  • GMS
  • Crop Modeling
  • SWAT
  • performance
  • Laboratory model
  • Random forest
  • Chlorophyll
  • Physical Model
  • Blue water
  • Downscaling
  • prediction
  • land use
  • Sustainable agriculture
  • time series
  • Electrical conductivity
  • Application efficiency
  • Productivity
  • Hydraulic jump
  • Irrigation water
  • cropping pattern
  • Landsat
  • Kriging
  • Irrigation scheduling
  • Porous media
  • Neural Network
  • Sprinkler Irrigation
  • MODFLOW
  • Trickle Irrigation
  • Irrigation network
  • Infiltration
  • Leaf area index
  • planting date
  • LARS-WG model
  • Distribution Uniformity
  • Genetic Algorithm
  • aquifer
  • sugarcane
  • MODIS
  • scaling
  • Positive Mathematical Programming
  • Greenhouse
  • SWAT model
  • Seepage
  • Unsteady flow
  • crop yield
  • Hydraulic Gradient
  • Sodium chloride
  • Water Resources Management
  • Energy dissipation
  • Water management
  • Saline Water
  • Water use
  • decision tree
  • Spur Dike
  • Sodium
  • Irrigation frequency
  • Crop water requirement
  • Golestan
  • Irrigation efficiency
  • Irrigation Networks
  • medicinal plants
  • maize
  • Data mining
  • Field capacity
  • Gene expression programming
  • Virtual water trade
  • cotton
  • Unconventional Water
  • groundwater level
  • Potassium
  • Soil salinity
  • Crop Pattern
  • irrigation interval
  • finite volume method
  • Temperature
  • Biochar
  • unconfined aquifer
  • satellite images
  • Water Pollution
  • Nitrate leaching
  • Zeolite
  • Wetting pattern
  • Desalination
  • Machine Learning
  • Dimensional Analysis
  • GPR
  • Evaporation pan
  • Scouring
  • HYDRUS-1D
  • Sentinel-2
  • Water allocation
  • Semivariogram
  • Ornamental plant
  • Environmental stress
  • Management
  • MATLAB
  • Irrigation planning
  • Irrigation methods
  • numerical simulation
  • Sedimentation
  • uniformity coefficient
  • Flood Routing
  • flood
  • Crop model
  • Standardized precipitation index
  • Tomato
  • Partial Root-zone Drying
  • Earth Dam
  • Wavelet
  • Khuzestan
  • Water Demand
  • Sediment transport
  • Water Salinity
  • soybean
  • Energy balance
  • Subsurface Drainage
  • irrigation canal
  • local scour
  • Pollution
  • Rasht
  • SWAP model
  • Water Quality Index
  • debris flow
  • Experimental Model
  • Scenario
  • Magnetic water

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