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

Related Journals