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