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 237-460 

Hydrological modeling of Tang-Sorkh Dam for control flood inflow to Yasuj city

Pages 393-410

Hossein Montaseri, hamid nejati, ahmad ayaseh, arash mosleh, hassan arjmand

Keywords Cloud

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