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

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