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 management
  • irrigation
  • water stress
  • Remote Sensing
  • Simulation
  • Wheat
  • Climate change
  • Water Quality
  • Calibration
  • soil moisture
  • Artificial Neural Network
  • AquaCrop
  • Surface irrigation
  • Precipitation
  • climate change
  • Wastewater
  • Production Function
  • Corn
  • Sensitivity analysis
  • Furrow irrigation
  • virtual water
  • Agriculture
  • Modeling
  • Drought stress
  • Water Table
  • Food Security
  • Lysimeter
  • Water resources
  • Validation
  • Flow-3D
  • subsurface drip irrigation
  • Uncertainty
  • Reference Evapotranspiration
  • GIS
  • Pressurized irrigation
  • heavy metals
  • Irrigation system
  • Nitrate
  • Urmia Lake
  • Interpolation
  • runoff
  • Regression
  • Soil texture
  • Green water
  • water footprint
  • Biomass
  • Hydraulic conductivity
  • LARS-WG
  • Seed yield
  • AquaCrop model
  • salinity stress
  • Flow Pattern
  • FAO Penman-Monteith
  • evaluation
  • Grain yield
  • Water balance
  • Efficiency
  • Proline
  • Downscaling
  • Crop Modeling
  • time series
  • Scour
  • Physical Model
  • GMS
  • Laboratory model
  • Crop coefficient
  • prediction
  • performance
  • Chlorophyll
  • SWAT
  • NDVI
  • Compound channel
  • Blue water
  • land use
  • Sustainable agriculture
  • Greenhouse
  • Positive Mathematical Programming
  • Electrical conductivity
  • Productivity
  • Application efficiency
  • Irrigation scheduling
  • Irrigation water
  • cropping pattern
  • Landsat
  • Hydraulic jump
  • Sprinkler Irrigation
  • Genetic Algorithm
  • MODIS
  • Random forest
  • Neural Network
  • Porous media
  • Kriging
  • scaling
  • Leaf area index
  • Trickle Irrigation
  • planting date
  • aquifer
  • sugarcane
  • SWAT model
  • Distribution Uniformity
  • MODFLOW
  • Seepage
  • LARS-WG model
  • Irrigation network
  • Infiltration
  • Water Resources Management
  • Unsteady flow
  • Sodium chloride
  • crop yield
  • Water use
  • Energy dissipation
  • Hydraulic Gradient
  • Water management
  • Spur Dike
  • Irrigation frequency
  • decision tree
  • Irrigation efficiency
  • Saline Water
  • medicinal plants
  • maize
  • Data mining
  • Field capacity
  • Golestan
  • Irrigation Networks
  • Crop water requirement
  • cotton
  • Gene expression programming
  • Unconventional Water
  • Virtual water trade
  • Crop Pattern
  • finite volume method
  • irrigation interval
  • Temperature
  • Biochar
  • satellite images
  • Machine Learning
  • unconfined aquifer
  • Nitrate leaching
  • Water Pollution
  • Wetting pattern
  • Zeolite
  • groundwater level
  • Desalination
  • Drainage
  • Dimensional Analysis
  • Sentinel-2
  • Evaporation pan
  • GPR
  • HYDRUS-1D
  • Sodium
  • Ornamental plant
  • Semivariogram
  • Environmental stress
  • MATLAB
  • Management
  • Scouring
  • HadCM3
  • Standardized precipitation index
  • Sedimentation
  • soybean
  • uniformity coefficient
  • Flood Routing
  • flood
  • Potassium
  • Rasht
  • Crop model
  • Irrigation methods
  • numerical simulation
  • Earth Dam
  • Tomato
  • Partial Root-zone Drying
  • Sediment transport
  • Water Demand
  • Khuzestan
  • Wavelet
  • Soil salinity
  • Water Salinity
  • Irrigation planning
  • Experimental Model
  • Water
  • Energy balance
  • debris flow
  • Subsurface Drainage
  • irrigation canal
  • SWAP model
  • Pollution
  • Iran
  • Water Quality Index

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