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
  • water stress
  • irrigation
  • Irrigation management
  • Remote Sensing
  • Simulation
  • Water Quality
  • Wheat
  • Calibration
  • Climate change
  • soil moisture
  • Artificial Neural Network
  • AquaCrop
  • Surface irrigation
  • Wastewater
  • Precipitation
  • climate change
  • Corn
  • Production Function
  • Furrow irrigation
  • Agriculture
  • Sensitivity analysis
  • virtual water
  • Drought stress
  • Water Table
  • Modeling
  • Lysimeter
  • Food Security
  • subsurface drip irrigation
  • Soil texture
  • Uncertainty
  • Reference Evapotranspiration
  • GIS
  • Flow-3D
  • Water resources
  • Validation
  • Pressurized irrigation
  • Regression
  • heavy metals
  • Hydraulic conductivity
  • water footprint
  • runoff
  • Green water
  • Biomass
  • Nitrate
  • Urmia Lake
  • Interpolation
  • Irrigation system
  • Efficiency
  • Water balance
  • salinity stress
  • AquaCrop model
  • LARS-WG
  • evaluation
  • Flow Pattern
  • FAO Penman-Monteith
  • Grain yield
  • Seed yield
  • Proline
  • prediction
  • Physical Model
  • Random forest
  • Laboratory model
  • Compound channel
  • time series
  • SWAT
  • NDVI
  • performance
  • Crop coefficient
  • GMS
  • Blue water
  • Crop Modeling
  • Downscaling
  • Scour
  • Chlorophyll
  • land use
  • Sustainable agriculture
  • Electrical conductivity
  • Productivity
  • Application efficiency
  • Irrigation water
  • cropping pattern
  • Landsat
  • Porous media
  • Genetic Algorithm
  • Irrigation scheduling
  • aquifer
  • Neural Network
  • Hydraulic jump
  • Sprinkler Irrigation
  • 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 frequency
  • Crop water requirement
  • Desalination
  • Golestan
  • Irrigation efficiency
  • medicinal plants
  • Data mining
  • Irrigation Networks
  • Field capacity
  • Gene expression programming
  • maize
  • Unconventional Water
  • Potassium
  • cotton
  • Crop Pattern
  • Virtual water trade
  • Soil salinity
  • groundwater level
  • finite volume method
  • irrigation interval
  • Temperature
  • satellite images
  • unconfined aquifer
  • Biochar
  • Machine Learning
  • Nitrate leaching
  • 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
  • Sedimentation
  • numerical simulation
  • 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
  • Water Quality Index
  • Soil erosion
  • Iran
  • Pollution
  • Experimental Model
  • Scenario

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