Water and Irrigation Management

Water and Irrigation Management

Journal of Water and Irrigation Management has a scientific-research validity (letter number: 159727/3, dated 2012.8.23 of the Commission of Scientific Publications, Ministry of Science, Research and Technology, Iran), which is publishing since spring of 2011. In this journal, basic, applied and developmental researches in the field of water resources management (surface and groundwater), agricultural water supply or demand management, field water management, irrigation and drainage networks management and surface runoff management in the form of research articles are published in Persian with English abstract.

Journal of Water and Irrigation Management is fully “open access” journal, and all published articles are free to access immediately from the date of publication.

English title: Journal of Water and Irrigation Management

Frequency: Quarterly

The journal rank by the Ministry of Science, Research and Technology assessment in 2023: A

Peer review policy: Double-blind peer review

Language: Persian with English Abstract

Average time to first decision: Five weeks

Acceptance Rate: About 21%

Open Access Journal Support

 

According to international standards in writing scientific papers, the number of words in each paper must be between 6,000 and 6,500 words, and after page layout, it should be published in 20 pages. Therefore, if the authors insists on changing this standard, an additional cost of 500,000 Rials per page will be charged for publishing the paper.

Article Processing Charges: 6,000,000 Rials for Iranian Authors

All manuscripts are screened for plagiarism by the “Hamtajoo” plagiarism detection tool at the primary processing stage. Manuscripts with plagiarism will be rejected.

Current Issue: Volume 16, Issue 2, Summer 2026, Pages 237-446 

Keywords Cloud

  • Deficit irrigation
  • Water use efficiency
  • climate change
  • yield
  • Groundwater
  • Evapotranspiration
  • water stress
  • Irrigation management
  • Drip Irrigation
  • Water Productivity
  • Surface irrigation
  • Sensitivity analysis
  • Drought stress
  • Water balance
  • Water management
  • Water requirement
  • Drought
  • simulation
  • Uncertainty
  • Water Resource Management
  • remote sensing
  • Machine learning
  • Water security
  • Nitrate
  • water resources management
  • Iran
  • Classification
  • Irrigation
  • modeling
  • water resources
  • time series
  • Performance Evaluation
  • Water Crisis
  • Runoff
  • productivity
  • Genetic Algorithm
  • Evaluation
  • Yield components
  • Precipitation
  • Support vector machine
  • evapotranspiration
  • Water quality
  • Canal
  • Artificial Neural Network
  • Corn
  • Basil
  • maize
  • Water Accounting
  • Application efficiency
  • Pollution
  • Greenhouse
  • Dissolved Oxygen
  • Energy
  • Numerical simulation
  • Clustering
  • Unconventional water
  • Sprinkler irrigation
  • Sustainable Development
  • Advection-Dispersion Equation
  • Efficiency
  • management
  • Grain yield
  • Water
  • HEC-RAS
  • Flood
  • Irrigation and drainage network
  • GCM
  • Saturated hydraulic conductivity
  • water market
  • Chlorophyll
  • Random forest
  • Leaching
  • CMIP6
  • Irrigation network
  • Irrigation scheduling
  • Water quality index
  • integrated water resources management
  • AHP
  • Downscaling
  • Sustainable agriculture
  • SPI
  • crop coefficient
  • subsurface Irrigation
  • Inverse problem
  • temperature
  • Soil moisture
  • leaf area index
  • calibration
  • Wind
  • Rainfall-runoff
  • Furrow Irrigation
  • Urmia Lake
  • modernization
  • Reference Evapotranspiration
  • fertigation
  • Salinity stress
  • lysimeter
  • forecasting
  • Agriculture
  • Water governance
  • Soil Salinity
  • Vulnerability
  • Water deficit
  • Ranking
  • operation
  • Coefficient of determination
  • Soil Texture
  • single irrigation
  • RCP8.5
  • Perlite
  • multivariate regression
  • spectral indices
  • Multi-objective optimization
  • Groundwater Resources
  • Unsteady flow
  • NSFWQI
  • Hydraulic conductivity
  • RCP2.6
  • olive
  • DSSAT
  • Meteorological data
  • salinity of irrigation water
  • Mann-Kendall
  • drainable lysimeter
  • groundwater
  • Optimal Operation
  • birjand
  • AOGCM models
  • Groundwater level
  • Crop Yield
  • Autocorrelation
  • Geographic Information System
  • FLOW-3D
  • medicinal plants
  • hydrodynamic model
  • Data Mining
  • Mulch
  • Rainfed wheat
  • Decision Tree
  • seedling
  • Artificial Neural Network
  • Flow3D
  • biochemical oxygen demand
  • Environmental Impact Assessment
  • Flow hydraulic simulation
  • Final production index
  • Correlation
  • Irrigation interval
  • irrigation water
  • causal loop diagrams
  • harvest index
  • Zinc
  • bed topography
  • Water quality assessment
  • Analytical Hierarchy process
  • salinity
  • SVM
  • Flowering
  • hydrodynamic
  • MCDM
  • Infrared thermometer
  • Nonlinear model
  • River discharge
  • Water loss
  • effluent
  • SSP
  • thermal stratification
  • Water supply
  • Kriging
  • Wheat
  • Particle Swarm Algorithm
  • tape irrigation
  • Artificial Neural Networks
  • Leakage
  • Shadegan wetland
  • arid and semi-arid regions
  • Climate
  • Flood routing
  • turbulence
  • Reinforcement Learning
  • irrigation systems
  • Agricultural drought
  • Reconstruction of pollution source characteristics
  • Distribution uniformity
  • Karkheh basin
  • SWMM model
  • Deep learning
  • CERES-Maize
  • Unconventional waters
  • Multi-Criteria Decision Making
  • Numerical Modeling
  • organic matter
  • Criteria
  • Controlled drainage
  • Flood susceptibility
  • Potential Efficiency
  • neural network
  • MODFLOW
  • Automation
  • model