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