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

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