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
  • simulation
  • Water Resource Management
  • remote sensing
  • Drought
  • Machine learning
  • Water management
  • Water requirement
  • Uncertainty
  • water resources management
  • modeling
  • Water security
  • Classification
  • water resources
  • Irrigation
  • Nitrate
  • Iran
  • Support vector machine
  • Precipitation
  • Evaluation
  • Runoff
  • evapotranspiration
  • Genetic Algorithm
  • Water quality
  • productivity
  • time series
  • Water Crisis
  • Performance Evaluation
  • Yield components
  • Sprinkler irrigation
  • Artificial Neural Network
  • management
  • Canal
  • Advection-Dispersion Equation
  • Corn
  • Pollution
  • Greenhouse
  • Grain yield
  • Unconventional water
  • maize
  • Flood
  • Energy
  • Water
  • Sustainable Development
  • HEC-RAS
  • Application efficiency
  • Basil
  • Clustering
  • Dissolved Oxygen
  • Efficiency
  • Numerical simulation
  • Water Accounting
  • subsurface Irrigation
  • AHP
  • Sustainable agriculture
  • Soil moisture
  • leaf area index
  • Downscaling
  • lysimeter
  • NSFWQI index
  • forecasting
  • operation
  • Inverse problem
  • water market
  • Water deficit
  • Agriculture
  • Urmia Lake
  • modernization
  • Random forest
  • Wind
  • Reference Evapotranspiration
  • integrated water resources management
  • Ranking
  • Saturated hydraulic conductivity
  • calibration
  • Water quality index
  • Furrow Irrigation
  • Rainfall-runoff
  • Irrigation and drainage network
  • Water governance
  • Chlorophyll
  • fertigation
  • CMIP6
  • Leaching
  • Salinity stress
  • Soil Salinity
  • Irrigation scheduling
  • SPI
  • crop coefficient
  • temperature
  • Irrigation network
  • Vulnerability
  • GCM
  • thermal stratification
  • Infrared thermometer
  • turbulence
  • effluent
  • Nonlinear model
  • Flowering
  • Kriging
  • tape irrigation
  • Distribution and Transfer Losses
  • Criteria
  • Deep learning
  • Particle Swarm Algorithm
  • Artificial Neural Networks
  • Flow hydraulic simulation
  • Flood susceptibility
  • Water supply
  • SVM
  • Leakage
  • River discharge
  • Karun River
  • Management Scenarios
  • Hashtgerd aquifer
  • Copula Functions
  • uncertainty
  • Water depletion
  • Positive Mathematical Programming
  • Vapor pressure deficit
  • Potential Efficiency
  • HEC-HMS
  • Flow3D
  • Evaporation
  • irrigation systems
  • biochemical oxygen demand
  • surface water
  • RCP2.6
  • IRWQIsc index
  • Barley
  • SWAT Model
  • Eutrophication
  • Data Mining
  • CERES-Maize
  • Prediction
  • Infiltration rate
  • small-scale
  • discharge
  • agricultural water management
  • Stomatal conductance
  • Aquifer Storage and Recovery
  • Pressurized Irrigation
  • FLOW-3D model
  • Missing data
  • model
  • Replacement rate ratio
  • Automation
  • sustainability
  • sedimentation
  • ANN
  • Metric
  • drainable lysimeter
  • Shared water resources
  • SWAT
  • Groundwater Modeling
  • Crop Yield
  • Entropy Theory
  • River bend
  • flood control
  • ANFIS
  • economic
  • multivariate regression
  • RCP8.5
  • Titicaca cultivar
  • birjand
  • Perlite
  • irrigation efficiency
  • NSFWQI
  • organic matter
  • FAO Penman-Monteith
  • Multi-objective optimization
  • Salt accumulation
  • Environmental Impact Assessment
  • Reconstruction of pollution source characteristics
  • CCMEWQI
  • water balance equation
  • Abshar Irrigation District
  • Hydraulic conductivity
  • Irrigation Method
  • Watershed
  • DSSAT
  • Unsteady flow
  • Autocorrelation
  • FLOW-3D
  • Decision Tree
  • medicinal plants
  • SWMM model