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

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