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