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

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