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